{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T16:09:40Z","timestamp":1791562180293,"version":"4.3.4"},"reference-count":147,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T00:00:00Z","timestamp":1783728000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T00:00:00Z","timestamp":1783728000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100003006","name":"Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich","doi-asserted-by":"publisher","award":["ETH Grants"],"award-info":[{"award-number":["ETH Grants"]}],"id":[{"id":"10.13039\/501100003006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003006","name":"Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich","doi-asserted-by":"publisher","award":["number ETH-16 20-2"],"award-info":[{"award-number":["number ETH-16 20-2"]}],"id":[{"id":"10.13039\/501100003006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005825","name":"National Institute of Food and Agriculture","doi-asserted-by":"publisher","award":["PEN04732"],"award-info":[{"award-number":["PEN04732"]}],"id":[{"id":"10.13039\/100005825","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["Marie Sk\u0142odowska-Curie Actions"],"award-info":[{"award-number":["Marie Sk\u0142odowska-Curie Actions"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["EXCELLENT SCIENCE framework"],"award-info":[{"award-number":["EXCELLENT SCIENCE framework"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["project 839235"],"award-info":[{"award-number":["project 839235"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["Horizon 2020 Framework Programme (H2020)"],"award-info":[{"award-number":["Horizon 2020 Framework Programme (H2020)"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["project 101000371"],"award-info":[{"award-number":["project 101000371"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"crossref","award":["project 310030_207952"],"award-info":[{"award-number":["project 310030_207952"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Swiss Federal Institute of Technology Zurich"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Plant Soil"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aims<\/jats:title>\n                    <jats:p>\n                      Drought threatens food security globally. Adaptive root phenotypes and microbiomes can improve maize (\n                      <jats:italic>Zea mays<\/jats:italic>\n                      L.) water uptake and tolerance to drought. However, synergisms between root phenotypes and microbiomes remain underexplored. We aimed to investigate the association between varying root phenotypes and rhizosphere microbiomes under field-scale drought.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We grew 22 maize inbred lines in the field under optimal water availability and drought imposed by excluding rain with rainout shelters. We quantified grain yield and measured root architectural and anatomical phenotypes on root crown and cross-section images obtained by laser ablation tomography, respectively. We characterized rhizosphere prokaryotic and fungal communities with DNA metabarcoding of ribosomal markers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Rhizosphere microbial diversity predominantly associated with root anatomy rather than root architecture. Cortical parenchyma wall width explained 13.1% of the variance of the prokaryotic \u03b2-diversity and correlated with grain yield under control conditions. Under the same conditions, number of cortical cell files and metaxylem vessels explained 1.4%\u20132.1% of the variance of prokaryotic and fungal \u03b2-diversities. No effect of the root phenotypes was observed under drought. We found 248 significant correlations between microbial taxa abundances and root anatomical phenotypes, especially cortex-related phenotypes such as number of cell files and living cortical area. Overall, a greater number of correlations was found under control conditions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We identified root phenotypes explaining a small but significant percentage of the variance of the microbial \u03b2-diversity, mostly under optimal water availability. We showed that especially root anatomy is associated with rhizosphere microbial diversity in field-grown maize.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s11104-026-08822-y","type":"journal-article","created":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T02:51:49Z","timestamp":1783738309000},"page":"1249-1272","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Digging for meaningful connections: associations between root phenotypes and rhizosphere microbial diversity in maize"],"prefix":"10.1007","volume":"525","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3299-249X","authenticated-orcid":false,"given":"Elena","family":"Giuliano","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4672-3701","authenticated-orcid":false,"given":"Jagdeep Singh","family":"Sidhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1955-4989","authenticated-orcid":false,"given":"Ivan","family":"Lopez-Valdivia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9793-5501","authenticated-orcid":false,"given":"Rafaela","family":"Feola Conz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4760-228X","authenticated-orcid":false,"given":"Cody L.","family":"DePew","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7265-9790","authenticated-orcid":false,"given":"Jonathan P.","family":"Lynch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9336-4185","authenticated-orcid":false,"given":"Johan","family":"Six","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8069-5284","authenticated-orcid":false,"given":"Martin","family":"Hartmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6853-4162","authenticated-orcid":false,"given":"Tania","family":"Galindo-Casta\u00f1eda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,11]]},"reference":[{"key":"8822_CR1","doi-asserted-by":"publisher","first-page":"2673","DOI":"10.1007\/S12010-023-04465-2","volume":"196","author":"P Agarwal","year":"2024","unstructured":"Agarwal P, Vibhandik R, Agrahari R et al (2024) Role of root exudates on the soil microbial diversity and biogeochemistry of heavy metals. Appl Biochem Biotechnol 196:2673\u20132693. https:\/\/doi.org\/10.1007\/S12010-023-04465-2","journal-title":"Appl Biochem Biotechnol"},{"key":"8822_CR2","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2022.875774","volume":"13","author":"HM Ahmad","year":"2022","unstructured":"Ahmad HM, Fiaz S, Hafeez S et al (2022) Plant growth-promoting rhizobacteria eliminate the effect of drought stress in plants: a review. Front Plant Sci 13:875774. https:\/\/doi.org\/10.3389\/fpls.2022.875774","journal-title":"Front Plant Sci"},{"key":"8822_CR3","doi-asserted-by":"publisher","unstructured":"Ali N, Abbas SAAA, Sharif L et al (2024) Microbial extracellular polymeric substance and impacts on soil aggregation. Bacterial Secondary Metabolites: Synthesis and Applications in Agroecosystem 221\u2013237. https:\/\/doi.org\/10.1016\/B978-0-323-95251-4.00021-1","DOI":"10.1016\/B978-0-323-95251-4.00021-1"},{"key":"8822_CR4","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/2408439","author":"MGB Allakonon","year":"2022","unstructured":"Allakonon MGB, Akponikp\u00e8 PBI (2022) Relationship of maize yield to climatic and environmental factors under deficit irrigation: a quantitative review. Int J Agron. https:\/\/doi.org\/10.1155\/2022\/2408439","journal-title":"Int J Agron"},{"key":"8822_CR5","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1111\/J.1442-9993.2001.01070.PP.X","volume":"26","author":"MJ Anderson","year":"2001","unstructured":"Anderson MJ (2001) A new method for non-parametric multivariate analysis of variance. Austral Ecol 26:32\u201346. https:\/\/doi.org\/10.1111\/J.1442-9993.2001.01070.PP.X","journal-title":"Austral Ecol"},{"key":"8822_CR6","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1111\/J.1541-0420.2005.00440.X","volume":"62","author":"MJ Anderson","year":"2006","unstructured":"Anderson MJ (2006) Distance-based tests for homogeneity of multivariate dispersions. Biometrics 62:245\u2013253. https:\/\/doi.org\/10.1111\/J.1541-0420.2005.00440.X","journal-title":"Biometrics"},{"key":"8822_CR7","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1111\/J.1461-0248.2006.00926.X","volume":"9","author":"MJ Anderson","year":"2006","unstructured":"Anderson MJ, Ellingsen KE, McArdle BH (2006) Multivariate dispersion as a measure of beta diversity. Ecol Lett 9:683\u2013693. https:\/\/doi.org\/10.1111\/J.1461-0248.2006.00926.X","journal-title":"Ecol Lett"},{"key":"8822_CR8","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/978-94-017-2321-3_5","volume":"204","author":"R Antoun","year":"1998","unstructured":"Antoun R, Beauchamp CJ, Goussard N et al (1998) Potential of Rhizobium and Bradyrhizobium species as plant growth promoting rhizobacteria on non-legumes: Effect on radishes (Raphanus sativus L.). Molecular Microbial Ecology of the Soil 204:57\u201367. https:\/\/doi.org\/10.1007\/978-94-017-2321-3_5","journal-title":"Molecular Microbial Ecology of the Soil"},{"key":"8822_CR9","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.3390\/AGRICULTURE12091328\/S1","volume":"12","author":"OE Ayiti","year":"2022","unstructured":"Ayiti OE, Ayangbenro AS, Babalola OO (2022) 16S amplicon sequencing of nitrifying bacteria and archaea inhabiting maize rhizosphere and the influencing environmental factors. Agriculture (Switzerland) 12:1328. https:\/\/doi.org\/10.3390\/AGRICULTURE12091328\/S1","journal-title":"Agriculture (Switzerland)"},{"key":"8822_CR10","doi-asserted-by":"publisher","first-page":"1403","DOI":"10.1111\/1755-0998.12399","volume":"15","author":"J Bengtsson-Palme","year":"2015","unstructured":"Bengtsson-Palme J, Hartmann M, Eriksson KM et al (2015) Metaxa2: improved identification and taxonomic classification of small and large subunit rRNA in metagenomic data. Mol Ecol Resour 15:1403\u20131414. https:\/\/doi.org\/10.1111\/1755-0998.12399","journal-title":"Mol Ecol Resour"},{"key":"8822_CR11","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1111\/2041-210X.12073","volume":"4","author":"J Bengtsson-Palme","year":"2013","unstructured":"Bengtsson-Palme J, Ryberg M, Hartmann M et al (2013) Improved software detection and extraction of ITS1 and ITS2 from ribosomal ITS sequences of fungi and other eukaryotes for analysis of environmental sequencing data. Methods Ecol Evol 4:914\u2013919. https:\/\/doi.org\/10.1111\/2041-210X.12073","journal-title":"Methods Ecol Evol"},{"key":"8822_CR12","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Stat Methodol 57:289\u2013300. https:\/\/doi.org\/10.1111\/j.2517-6161.1995.tb02031.x","journal-title":"J R Stat Soc Ser B Stat Methodol"},{"key":"8822_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/J.MICRES.2022.127059","volume":"261","author":"K Boubekri","year":"2022","unstructured":"Boubekri K, Soumare A, Mardad I et al (2022) Multifunctional role of Actinobacteria in agricultural production sustainability: a review. Microbiol Res 261:127059. https:\/\/doi.org\/10.1016\/J.MICRES.2022.127059","journal-title":"Microbiol Res"},{"key":"8822_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-019-52148-y","volume":"9","author":"VL Brisson","year":"2019","unstructured":"Brisson VL, Schmidt JE, Northen TR et al (2019) Impacts of Maize Domestication and Breeding on Rhizosphere Microbial Community Recruitment from a Nutrient Depleted Agricultural Soil. Scientific Reports. 9:1\u201314. https:\/\/doi.org\/10.1038\/s41598-019-52148-y","journal-title":"Scientific Reports."},{"key":"8822_CR15","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s11104-012-1453-7","volume":"367","author":"AL Burton","year":"2013","unstructured":"Burton AL, Lynch JP, Brown KM (2013) Spatial distribution and phenotypic variation in root cortical aerenchyma of maize (Zea mays L.). Plant Soil 367:263\u2013274","journal-title":"Plant Soil"},{"key":"8822_CR16","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s11104-012-1138-2","volume":"357","author":"AL Burton","year":"2012","unstructured":"Burton AL, Williams M, Lynch JP, Brown KM (2012) RootScan: software for high-throughput analysis of root anatomical traits. Plant Soil 357:189\u2013203. https:\/\/doi.org\/10.1007\/s11104-012-1138-2","journal-title":"Plant Soil"},{"key":"8822_CR17","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1007\/S00374-020-01463-Y","volume":"56","author":"F Cass\u00e1n","year":"2020","unstructured":"Cass\u00e1n F, Coniglio A, L\u00f3pez G et al (2020) Everything you must know about Azospirillum and its impact on agriculture and beyond. Biology and Fertility of Soils. 56:461\u2013479. https:\/\/doi.org\/10.1007\/S00374-020-01463-Y","journal-title":"Biology and Fertility of Soils."},{"key":"8822_CR18","doi-asserted-by":"publisher","unstructured":"Chaudhary S, Shankar A, Singh A, Prasad V (2018) Usefulness of Penicillium in Enhancing Plants Resistance to Abiotic Stresses: An Overview. New and Future Developments in Microbial Biotechnology and Bioengineering: Penicillium System Properties and Applications 277\u2013284. https:\/\/doi.org\/10.1016\/B978-0-444-63501-3.00017-X","DOI":"10.1016\/B978-0-444-63501-3.00017-X"},{"key":"8822_CR19","doi-asserted-by":"publisher","first-page":"2166","DOI":"10.1104\/pp.114.250449","volume":"166","author":"JG Chimungu","year":"2014","unstructured":"Chimungu JG, Brown KM, Lynch JP (2014a) Large root cortical cell size improves drought tolerance in maize. Plant Physiol 166:2166\u20132178. https:\/\/doi.org\/10.1104\/pp.114.250449","journal-title":"Plant Physiol"},{"key":"8822_CR20","doi-asserted-by":"publisher","first-page":"1943","DOI":"10.1104\/pp.114.249037","volume":"166","author":"JG Chimungu","year":"2014","unstructured":"Chimungu JG, Brown KM, Lynch JP (2014b) Reduced root cortical cell file number improves drought tolerance in maize. Plant Physiol 166:1943\u20131955. https:\/\/doi.org\/10.1104\/pp.114.249037","journal-title":"Plant Physiol"},{"key":"8822_CR21","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/J.FCR.2014.10.009","volume":"171","author":"JG Chimungu","year":"2015","unstructured":"Chimungu JG, Maliro MFA, Nalivata PC et al (2015) Utility of root cortical aerenchyma under water limited conditions in tropical maize (Zea mays L.). Field Crops Res 171:86\u201398. https:\/\/doi.org\/10.1016\/J.FCR.2014.10.009","journal-title":"Field Crops Res"},{"key":"8822_CR22","doi-asserted-by":"publisher","first-page":"2016","DOI":"10.1139\/b81-264","volume":"59","author":"M Corlett","year":"1981","unstructured":"Corlett M (1981) A taxonomic survey of some species of Didymella and Didymella-like species. Can J Bot 59:2016\u20132042. https:\/\/doi.org\/10.1139\/b81-264","journal-title":"Can J Bot"},{"key":"8822_CR23","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2018.01636","volume":"9","author":"OYA Costa","year":"2018","unstructured":"Costa OYA, Raaijmakers JM, Kuramae EE (2018) Microbial extracellular polymeric substances: ecological function and impact on soil aggregation. Front Microbiol 9:337094. https:\/\/doi.org\/10.3389\/fmicb.2018.01636","journal-title":"Front Microbiol"},{"key":"8822_CR24","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1093\/JEXBOT\/51.344.595","volume":"51","author":"B Degenhardt","year":"2000","unstructured":"Degenhardt B, Gimmler H (2000) Cell wall adaptations to multiple environmental stresses in maize roots. J Exp Bot 51:595\u2013603. https:\/\/doi.org\/10.1093\/JEXBOT\/51.344.595","journal-title":"J Exp Bot"},{"key":"8822_CR25","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1002\/9781119054450.ch8","volume":"1\u20132","author":"M Dikilitas","year":"2016","unstructured":"Dikilitas M, Karakas S, Hashem A et al (2016) Oxidative stress and plant responses to pathogens under drought conditions. Water Stress and Crop Plants: A Sustainable Approach 1\u20132:102\u2013123. https:\/\/doi.org\/10.1002\/9781119054450.ch8","journal-title":"Water Stress and Crop Plants: A Sustainable Approach"},{"key":"8822_CR26","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/S00572-009-0266-X","volume":"20","author":"B Dreyer","year":"2009","unstructured":"Dreyer B, Morte A, L\u00f3pez J\u00c1, Honrubia M (2009) Comparative study of mycorrhizal susceptibility and anatomy of four palm species. Mycorrhiza. 20:103\u2013115. https:\/\/doi.org\/10.1007\/S00572-009-0266-X","journal-title":"Mycorrhiza."},{"key":"8822_CR27","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/s00572-009-0266-x","volume":"20","author":"B Dreyer","year":"2010","unstructured":"Dreyer B, Morte A, L\u00f3pez J\u00c1, Honrubia M (2010) Comparative study of mycorrhizal susceptibility and anatomy of four palm species. Mycorrhiza 20:103\u2013115. https:\/\/doi.org\/10.1007\/s00572-009-0266-x","journal-title":"Mycorrhiza"},{"key":"8822_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/J.STRESS.2023.100242","volume":"10","author":"M Ebrahimi-Zarandi","year":"2023","unstructured":"Ebrahimi-Zarandi M, Etesami H, Glick BR (2023) Fostering plant resilience to drought with Actinobacteria: unveiling perennial allies in drought stress tolerance. Plant Stress 10:100242. https:\/\/doi.org\/10.1016\/J.STRESS.2023.100242","journal-title":"Plant Stress"},{"key":"8822_CR29","volume-title":"Climate change 2014\u202f: mitigation of climate change: Working Group III contribution to the Fifth assessment report of the Intergovernmental Panel on Climate Change","author":"O Edenhofer","year":"2015","unstructured":"Edenhofer O (2015) Climate change 2014\u202f: mitigation of climate change: Working Group III contribution to the Fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press"},{"key":"8822_CR30","doi-asserted-by":"publisher","unstructured":"Edgar RC (2016a) UNOISE2: improved error-correction for Illumina 16S and ITS amplicon sequencing. bioRxiv 081257. https:\/\/doi.org\/10.1101\/081257","DOI":"10.1101\/081257"},{"key":"8822_CR31","doi-asserted-by":"publisher","unstructured":"Edgar RC (2016b) UCHIME2: improved chimera prediction for amplicon sequencing. bioRxiv 074252. https:\/\/doi.org\/10.1101\/074252","DOI":"10.1101\/074252"},{"key":"8822_CR32","doi-asserted-by":"publisher","unstructured":"Edgar RC (2016c) SINTAX: a simple non-Bayesian taxonomy classifier for 16S and ITS sequences. bioRxiv 074161. https:\/\/doi.org\/10.1101\/074161","DOI":"10.1101\/074161"},{"key":"8822_CR33","doi-asserted-by":"publisher","first-page":"3476","DOI":"10.1093\/BIOINFORMATICS\/BTV401","volume":"31","author":"RC Edgar","year":"2015","unstructured":"Edgar RC, Flyvbjerg H (2015) Error filtering, pair assembly and error correction for next-generation sequencing reads. Bioinformatics 31:3476\u20133482. https:\/\/doi.org\/10.1093\/BIOINFORMATICS\/BTV401","journal-title":"Bioinformatics"},{"key":"8822_CR34","doi-asserted-by":"publisher","unstructured":"Etesami H, Chen Y (2025) Adapting to arid conditions: the interplay of plant roots, microbial communities, and exudates in the face of drought challenges. Sustainable Agriculture under Drought Stress: Integrated Soil, Water and Nutrient Management 471\u2013487. https:\/\/doi.org\/10.1016\/B978-0-443-23956-4.00028-4","DOI":"10.1016\/B978-0-443-23956-4.00028-4"},{"key":"8822_CR35","doi-asserted-by":"publisher","first-page":"11002","DOI":"10.1002\/ece3.3630","volume":"7","author":"A Eziz","year":"2017","unstructured":"Eziz A, Yan Z, Tian D et al (2017) Drought effect on plant biomass allocation: a meta-analysis. Ecol Evol 7:11002\u201311010. https:\/\/doi.org\/10.1002\/ece3.3630","journal-title":"Ecol Evol"},{"key":"8822_CR36","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2023.1114400","volume":"14","author":"W Fan","year":"2023","unstructured":"Fan W, Tang F, Wang J et al (2023) Drought-induced recruitment of specific root-associated bacteria enhances adaptation of alfalfa to drought stress. Front Microbiol 14:1114400. https:\/\/doi.org\/10.3389\/fmicb.2023.1114400","journal-title":"Front Microbiol"},{"key":"8822_CR37","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1016\/J.AGWAT.2008.07.002","volume":"96","author":"I Farr\u00e9","year":"2009","unstructured":"Farr\u00e9 I, Faci JM (2009) Deficit irrigation in maize for reducing agricultural water use in a Mediterranean environment. Agric Water Manag 96:383\u2013394. https:\/\/doi.org\/10.1016\/J.AGWAT.2008.07.002","journal-title":"Agric Water Manag"},{"key":"8822_CR38","doi-asserted-by":"publisher","first-page":"2454","DOI":"10.1038\/S41396-021-00923-Z","volume":"15","author":"A Favela","year":"2021","unstructured":"Favela A, Bohn MO, Kent AD (2021) Maize germplasm chronosequence shows crop breeding history impacts recruitment of the rhizosphere microbiome. ISME J 15:2454\u20132464. https:\/\/doi.org\/10.1038\/S41396-021-00923-Z","journal-title":"ISME J"},{"key":"8822_CR39","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1111\/nph.17572","volume":"232","author":"GT Freschet","year":"2021","unstructured":"Freschet GT, Pag\u00e8s L, Iversen CM et al (2021) A starting guide to root ecology: strengthening ecological concepts and standardising root classification, sampling, processing and trait measurements. New Phytol 232:973\u20131122. https:\/\/doi.org\/10.1111\/nph.17572","journal-title":"New Phytol"},{"key":"8822_CR40","doi-asserted-by":"publisher","DOI":"10.1093\/FEMSEC\/FIW018","author":"B Frey","year":"2016","unstructured":"Frey B, Rime T, Phillips M et al (2016) Microbial diversity in European alpine permafrost and active layers. FEMS Microbiol Ecol. https:\/\/doi.org\/10.1093\/FEMSEC\/FIW018","journal-title":"FEMS Microbiol Ecol"},{"key":"8822_CR41","doi-asserted-by":"publisher","first-page":"2999","DOI":"10.1111\/PCE.13615","volume":"42","author":"T Galindo-Casta\u00f1eda","year":"2019","unstructured":"Galindo-Casta\u00f1eda T, Brown KM, Kuldau GA et al (2019) Root cortical anatomy is associated with differential pathogenic and symbiotic fungal colonization in maize. Plant Cell Environ 42:2999\u20133014. https:\/\/doi.org\/10.1111\/PCE.13615","journal-title":"Plant Cell Environ"},{"key":"8822_CR42","doi-asserted-by":"publisher","first-page":"1579","DOI":"10.1111\/PCE.13197","volume":"41","author":"T Galindo-Casta\u00f1eda","year":"2018","unstructured":"Galindo-Casta\u00f1eda T, Brown KM, Lynch JP (2018) Reduced root cortical burden improves growth and grain yield under low phosphorus availability in maize. Plant Cell Environ 41:1579\u20131592. https:\/\/doi.org\/10.1111\/PCE.13197","journal-title":"Plant Cell Environ"},{"key":"8822_CR43","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1093\/JXB\/ERAD421","volume":"75","author":"T Galindo-Casta\u00f1eda","year":"2024","unstructured":"Galindo-Casta\u00f1eda T, Hartmann M, Lynch JP (2024) Location: root architecture structures rhizosphere microbial associations. J Exp Bot 75:594\u2013604. https:\/\/doi.org\/10.1093\/JXB\/ERAD421","journal-title":"J Exp Bot"},{"key":"8822_CR44","doi-asserted-by":"publisher","DOI":"10.1093\/AOB\/MCAF185","author":"T Galindo-Casta\u00f1eda","year":"2025","unstructured":"Galindo-Casta\u00f1eda T, Kost E, Giuliano E et al (2025) Locating the microbes along the maize root system under nitrogen limitation: a root phenotypic approach. Ann Bot. https:\/\/doi.org\/10.1093\/AOB\/MCAF185","journal-title":"Ann Bot"},{"key":"8822_CR45","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2022.827369","volume":"13","author":"T Galindo-Casta\u00f1eda","year":"2022","unstructured":"Galindo-Casta\u00f1eda T, Lynch JP, Six J, Hartmann M (2022) Improving soil resource uptake by plants through capitalizing on synergies between root architecture and anatomy and root-associated microorganisms. Front Plant Sci 13:827369. https:\/\/doi.org\/10.3389\/fpls.2022.827369","journal-title":"Front Plant Sci"},{"key":"8822_CR46","doi-asserted-by":"publisher","unstructured":"Galindo-Casta\u00f1eda T, Rojas C, Kara\u00f6z U, et al (2023) Influence of root cortical aerenchyma on the rhizosphere microbiome of field-grown maize. bioRxiv. 01.31.525837. https:\/\/doi.org\/10.1101\/2023.01.31.525837","DOI":"10.1101\/2023.01.31.525837"},{"key":"8822_CR47","doi-asserted-by":"publisher","first-page":"4545","DOI":"10.1093\/JXB\/ERW243","volume":"67","author":"Y Gao","year":"2016","unstructured":"Gao Y, Lynch JP (2016) Reduced crown root number improves water acquisition under water deficit stress in maize (Zea mays L.). J Exp Bot 67:4545\u20134557. https:\/\/doi.org\/10.1093\/JXB\/ERW243","journal-title":"J Exp Bot"},{"key":"8822_CR48","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2023.1295376","volume":"14","author":"Y Gao","year":"2023","unstructured":"Gao Y, Zhao Y, Li P, Qi X (2023) Responses of the maize rhizosphere soil environment to drought-flood abrupt alternation stress. Front Microbiol 14:1295376. https:\/\/doi.org\/10.3389\/fmicb.2023.1295376","journal-title":"Front Microbiol"},{"key":"8822_CR49","doi-asserted-by":"publisher","DOI":"10.1016\/J.RHISPH.2025.101241","volume":"37","author":"E Giuliano","year":"2026","unstructured":"Giuliano E, Singh Sidhu J, Lopez-Valdivia I et al (2026) Shovelomics meets microbiomics: root phenotype-microbiome associations and links with maize yield under nitrogen limitation. Rhizosphere 101241. https:\/\/doi.org\/10.1016\/J.RHISPH.2025.101241","journal-title":"Rhizosphere"},{"key":"8822_CR50","doi-asserted-by":"publisher","DOI":"10.1371\/JOURNAL.PONE.0320197","volume":"20","author":"BA Halo","year":"2025","unstructured":"Halo BA, Aljabri YAS, Yaish MW (2025) Drought-induced microbial dynamics in cowpea rhizosphere: exploring bacterial diversity and bioinoculant prospects. PLoS ONE 20:e0320197. https:\/\/doi.org\/10.1371\/JOURNAL.PONE.0320197","journal-title":"PLoS ONE"},{"key":"8822_CR51","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1038\/s43017-022-00366-w","volume":"4","author":"M Hartmann","year":"2022","unstructured":"Hartmann M, Six J (2022) Soil structure and microbiome functions in agroecosystems. Nature Reviews Earth & Environment. 4:4\u201318. https:\/\/doi.org\/10.1038\/s43017-022-00366-w","journal-title":"Nature Reviews Earth & Environment."},{"key":"8822_CR52","doi-asserted-by":"publisher","unstructured":"Hartwig RP, Santangeli M, W\u00fcrsig H et al (2025) Drought response of the maize plant\u2013soil\u2013microbiome system is influenced by plant size and presence of root hairs. Ann Bot 1\u201318. https:\/\/doi.org\/10.1093\/AOB\/MCAF033","DOI":"10.1093\/AOB\/MCAF033"},{"key":"8822_CR53","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1038\/s41477-024-01654-7","volume":"10","author":"X He","year":"2024","unstructured":"He X, Wang D, Jiang Y et al (2024) Heritable microbiome variation is correlated with source environment in locally adapted maize varieties. Nature Plants. 10:598\u2013617. https:\/\/doi.org\/10.1038\/s41477-024-01654-7","journal-title":"Nature Plants."},{"key":"8822_CR54","doi-asserted-by":"publisher","unstructured":"Hochholdinger F (2009) The Maize Root System: Morphology, Anatomy, and Genetics. Handbook of Maize: Its Biology 145\u2013160. https:\/\/doi.org\/10.1007\/978-0-387-79418-1_8","DOI":"10.1007\/978-0-387-79418-1_8"},{"key":"8822_CR55","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2019.02106","volume":"10","author":"MD Jochum","year":"2019","unstructured":"Jochum MD, McWilliams KL, Borrego EJ et al (2019) Bioprospecting plant growth-promoting rhizobacteria that mitigate drought stress in grasses. Front Microbiol 10:466447. https:\/\/doi.org\/10.3389\/fmicb.2019.02106","journal-title":"Front Microbiol"},{"key":"8822_CR56","doi-asserted-by":"publisher","unstructured":"Kihara S, Yamamoto K, Shiwa Y, et al (2024) The rhizosphere bacterial community of water yam (Dioscorea alata L.) under limited water conditions. Journal of Sustainable Agriculture and Environment 3:e70009. https:\/\/doi.org\/10.1002\/sae2.70009","DOI":"10.1002\/sae2.70009"},{"key":"8822_CR57","doi-asserted-by":"publisher","DOI":"10.1002\/tpg2.20489","volume":"17","author":"SP Klein","year":"2024","unstructured":"Klein SP, Kaeppler SM, Brown KM, Lynch JP (2024) Integrating GWAS with a gene co-expression network better prioritizes candidate genes associated with root metaxylem phenes in maize. Plant Genome 17:e20489. https:\/\/doi.org\/10.1002\/tpg2.20489","journal-title":"Plant Genome"},{"key":"8822_CR58","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1104\/PP.20.00211","volume":"183","author":"SP Klein","year":"2020","unstructured":"Klein SP, Schneider HM, Perkins AC et al (2020) Multiple integrated root phenotypes are associated with improved drought tolerance. Plant Physiol 183:1011\u20131025. https:\/\/doi.org\/10.1104\/PP.20.00211","journal-title":"Plant Physiol"},{"key":"8822_CR59","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/S13593-017-0457-3","volume":"37","author":"ET Lammerts van Bueren","year":"2017","unstructured":"Lammerts van Bueren ET, Struik PC (2017) Diverse concepts of breeding for nitrogen use efficiency. A review. Agronomy for Sustainable Development. 37:1\u201324. https:\/\/doi.org\/10.1007\/S13593-017-0457-3","journal-title":"A review. Agronomy for Sustainable Development."},{"key":"8822_CR60","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1038\/nmeth.1923","volume":"9","author":"B Langmead","year":"2012","unstructured":"Langmead B, Salzberg SL (2012) Fast gapped-read alignment with Bowtie 2. Nature Methods. 9:357\u2013359. https:\/\/doi.org\/10.1038\/nmeth.1923","journal-title":"Nature Methods."},{"key":"8822_CR61","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/s11104-024-07181-w","volume":"513","author":"A Lattacher","year":"2025","unstructured":"Lattacher A, Le Gall S, Rothfuss Y et al (2025) Rooting for microbes: impact of root architecture on the microbial community and function in top- and subsoil. Plant Soil 513:333\u2013351. https:\/\/doi.org\/10.1007\/s11104-024-07181-w","journal-title":"Plant Soil"},{"key":"8822_CR62","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1023\/A:1014893521186","volume":"48","author":"M Lee","year":"2002","unstructured":"Lee M, Sharopova N, Beavis WD et al (2002) Expanding the genetic map of maize with the intermated B73 x Mo17 (IBM) population. Plant Mol Biol 48:453\u2013461. https:\/\/doi.org\/10.1023\/A:1014893521186","journal-title":"Plant Mol Biol"},{"key":"8822_CR63","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1016\/j.scitotenv.2018.10.434","volume":"654","author":"G Leng","year":"2019","unstructured":"Leng G, Hall J (2019) Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future. Sci Total Environ 654:811\u2013821. https:\/\/doi.org\/10.1016\/j.scitotenv.2018.10.434","journal-title":"Sci Total Environ"},{"key":"8822_CR64","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1038\/nature16467","volume":"529","author":"C Lesk","year":"2016","unstructured":"Lesk C, Rowhani P, Ramankutty N (2016) Influence of extreme weather disasters on global crop production. Nature 529:84\u201387. https:\/\/doi.org\/10.1038\/nature16467","journal-title":"Nature"},{"key":"8822_CR65","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1093\/PLPHYS\/KIAD390","volume":"193","author":"H Li","year":"2023","unstructured":"Li H, Xie J, Gao Y et al (2023a) IQ domain-containing protein ZmIQD27 modulates water transport in maize. Plant Physiol 193:1834\u20131848. https:\/\/doi.org\/10.1093\/PLPHYS\/KIAD390","journal-title":"Plant Physiol"},{"key":"8822_CR66","doi-asserted-by":"publisher","DOI":"10.1016\/J.ETI.2024.103947","volume":"37","author":"J Li","year":"2025","unstructured":"Li J, Zhou L, Chen G et al (2025) Arbuscular mycorrhizal fungi enhance drought resistance and alter microbial communities in maize rhizosphere soil. Environ Technol Innov 37:103947. https:\/\/doi.org\/10.1016\/J.ETI.2024.103947","journal-title":"Environ Technol Innov"},{"key":"8822_CR67","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1038\/s43016-023-00869-9","volume":"4","author":"P Li","year":"2023","unstructured":"Li P, Tedersoo L, Crowther TW et al (2023b) Fossil-fuel-dependent scenarios could lead to a significant decline of global plant-beneficial bacteria abundance in soils by 2100. Nat Food 4:996\u20131006. https:\/\/doi.org\/10.1038\/s43016-023-00869-9","journal-title":"Nat Food"},{"key":"8822_CR68","doi-asserted-by":"publisher","DOI":"10.1371\/JOURNAL.PONE.0304898","volume":"19","author":"Y Li","year":"2024","unstructured":"Li Y, An J, Guo J et al (2024) Ridge planting increases the rhizosphere microbiome diversity and improves the yield of Pinellia ternata (Thunb.) Breit in North China. PLoS One 19:e0304898. https:\/\/doi.org\/10.1371\/JOURNAL.PONE.0304898","journal-title":"PLoS One"},{"key":"8822_CR69","doi-asserted-by":"publisher","unstructured":"Li Y, Qu Z, Xu W, et al (2022) Maize (Zea mays L.) genotypes induce the changes of rhizosphere microbial communities. Archives of Microbiology. 204:6 204:1\u201313. https:\/\/doi.org\/10.1007\/S00203-022-02934-6","DOI":"10.1007\/S00203-022-02934-6"},{"key":"8822_CR70","doi-asserted-by":"publisher","DOI":"10.3390\/MICROORGANISMS13071593","volume":"13","author":"Y Liu","year":"2025","unstructured":"Liu Y, Ren J, Yu B et al (2025) Metagenomic and metabolomic perspectives on the drought tolerance of broomcorn millet (Panicum miliaceum L.). Microorganisms 13:1593. https:\/\/doi.org\/10.3390\/MICROORGANISMS13071593","journal-title":"Microorganisms"},{"issue":"14","key":"8822_CR71","doi-asserted-by":"publisher","first-page":"1949","DOI":"10.3390\/AGRONOMY14091949","volume":"1949","author":"N Loiko","year":"2024","unstructured":"Loiko N, Islam MN (2024) Plant-Soil Microbial Interaction: Differential Adaptations of Beneficial vs. Pathogenic Bacterial and Fungal Communities to Climate-Induced Drought. Agronomy 2024 1949(14):1949. https:\/\/doi.org\/10.3390\/AGRONOMY14091949","journal-title":"Agronomy 2024"},{"key":"8822_CR72","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s43705-021-00046-8","volume":"1","author":"M Longepierre","year":"2021","unstructured":"Longepierre M, Widmer F, Keller T et al (2021) (2021) Limited resilience of the soil microbiome to mechanical compaction within four growing seasons of agricultural management. ISME Communications 1:1\u201313. https:\/\/doi.org\/10.1038\/s43705-021-00046-8","journal-title":"ISME Communications"},{"key":"8822_CR73","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1038\/NATURE11237","volume":"488","author":"DS Lundberg","year":"2012","unstructured":"Lundberg DS, Lebeis SL, Paredes SH et al (2012) Defining the core Arabidopsis thaliana root microbiome. Nature 488:86\u201390. https:\/\/doi.org\/10.1038\/NATURE11237","journal-title":"Nature"},{"key":"8822_CR74","doi-asserted-by":"publisher","first-page":"3648","DOI":"10.1016\/J.YGENO.2020.04.013","volume":"112","author":"Y Luo","year":"2020","unstructured":"Luo Y, Zhou M, Zhao Q et al (2020) Complete genome sequence of Sphingomonas sp. Cra20, a drought resistant and plant growth promoting rhizobacteria. Genomics 112:3648\u20133657. https:\/\/doi.org\/10.1016\/J.YGENO.2020.04.013","journal-title":"Genomics"},{"key":"8822_CR75","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1093\/AOB\/MCS293","volume":"112","author":"JP Lynch","year":"2013","unstructured":"Lynch JP (2013) Steep, cheap and deep: an ideotype to optimize water and N acquisition by maize root systems. Ann Bot 112:347\u2013357. https:\/\/doi.org\/10.1093\/AOB\/MCS293","journal-title":"Ann Bot"},{"key":"8822_CR76","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1111\/TPJ.15560","volume":"109","author":"JP Lynch","year":"2022","unstructured":"Lynch JP (2022) Harnessing root architecture to address global challenges. Plant J 109:415\u2013431. https:\/\/doi.org\/10.1111\/TPJ.15560","journal-title":"Plant J"},{"key":"8822_CR77","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/S11104-023-06301-2","volume":"502","author":"JP Lynch","year":"2023","unstructured":"Lynch JP, Galindo-Casta\u00f1eda T, Schneider HM et al (2023) Root phenotypes for improved nitrogen capture. Plant and Soil. 502:31\u201385. https:\/\/doi.org\/10.1007\/S11104-023-06301-2","journal-title":"Plant and Soil."},{"key":"8822_CR78","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1111\/pce.14213","volume":"45","author":"JP Lynch","year":"2022","unstructured":"Lynch JP, Mooney SJ, Strock CF, Schneider HM (2022) Future roots for future soils. Plant Cell Environ 45:620\u2013636. https:\/\/doi.org\/10.1111\/pce.14213","journal-title":"Plant Cell Environ"},{"key":"8822_CR79","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/S11104-021-05010-Y","volume":"466","author":"JP Lynch","year":"2021","unstructured":"Lynch JP, Strock CF, Schneider HM et al (2021) Root anatomy and soil resource capture. Plant and Soil. 466:21\u201363. https:\/\/doi.org\/10.1007\/S11104-021-05010-Y","journal-title":"Plant and Soil."},{"key":"8822_CR80","doi-asserted-by":"publisher","first-page":"1470229","DOI":"10.3389\/fpls.2024.1470229","volume":"15","author":"J Ma","year":"2024","unstructured":"Ma J, Liu D, Zhao P et al (2024) Intercropping of tobacco and maize at seedling stage promotes crop growth through manipulating rhizosphere microenvironment. Front Plant Sci 15:1470229. https:\/\/doi.org\/10.3389\/fpls.2024.1470229","journal-title":"Front Plant Sci"},{"key":"8822_CR81","unstructured":"Maechler M, Rousseeuw P, Struyf A et al (2025) Cluster: Cluster Analysis Basics and Extensions. R package version 2.1.8.1. \u2014 For new features, see the \u201cNEWS\u201d and the \u201cChangelog\u201d file in the package source. https:\/\/CRAN.R-project.org\/package=cluster"},{"key":"8822_CR82","doi-asserted-by":"publisher","unstructured":"Maia SMF, Galv\u00e3o C de O, Abbruzzini TF, et al (2024) Managing Drought Stress in Agro-Ecosystems of Latin America and the Caribbean Region. In Book: Soil and Drought: Basic Processes 157\u2013180. https:\/\/doi.org\/10.1201\/b22954-7","DOI":"10.1201\/b22954-7"},{"key":"8822_CR83","doi-asserted-by":"publisher","first-page":"6275","DOI":"10.1111\/1462-2920.15764","volume":"23","author":"R Marasco","year":"2021","unstructured":"Marasco R, Fusi M, Rolli E et al (2021) Aridity modulates belowground bacterial community dynamics in olive tree. Environ Microbiol 23:6275\u20136291. https:\/\/doi.org\/10.1111\/1462-2920.15764","journal-title":"Environ Microbiol"},{"key":"8822_CR84","doi-asserted-by":"publisher","unstructured":"Martin M (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J 17:10\u201312. https:\/\/doi.org\/10.14806\/EJ.17.1.200","DOI":"10.14806\/EJ.17.1.200"},{"key":"8822_CR85","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1093\/FEMSEC\/FIAE088","volume":"100","author":"BR Martins","year":"2024","unstructured":"Martins BR, Radl V, Treder K et al (2024) The rhizosphere microbiome of 51 potato cultivars with diverse plant growth characteristics. FEMS Microbiol Ecol 100:88. https:\/\/doi.org\/10.1093\/FEMSEC\/FIAE088","journal-title":"FEMS Microbiol Ecol"},{"key":"8822_CR86","doi-asserted-by":"publisher","DOI":"10.3791\/57932","author":"MR McPherson","year":"2018","unstructured":"McPherson MR, Wang P, Marsh EL et al (2018) Isolation and analysis of microbial communities in soil, rhizosphere, and roots in perennial grass experiments. J vis Exp. https:\/\/doi.org\/10.3791\/57932","journal-title":"J vis Exp"},{"key":"8822_CR87","doi-asserted-by":"publisher","unstructured":"Meier MA, Xu G, Lopez-Guerrero MG et al (2022) Association analyses of host genetics, root-colonizing microbes, and plant phenotypes under different nitrogen conditions in maize. Elife 11. https:\/\/doi.org\/10.7554\/ELIFE.75790","DOI":"10.7554\/ELIFE.75790"},{"key":"8822_CR88","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2018.00294","volume":"9","author":"A Meisner","year":"2018","unstructured":"Meisner A, Jacquiod S, Snoek BL et al (2018) Drought legacy effects on the composition of soil fungal and prokaryote communities. Front Microbiol 9:323518. https:\/\/doi.org\/10.3389\/fmicb.2018.00294","journal-title":"Front Microbiol"},{"key":"8822_CR89","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00374-024-01863-4","volume":"61","author":"H Mukhtar","year":"2024","unstructured":"Mukhtar H, Hao J, Xu G et al (2024) Nitrogen input differentially shapes the rhizosphere microbiome diversity and composition across diverse maize lines. Biol Fertil Soils 61:1\u201312. https:\/\/doi.org\/10.1007\/s00374-024-01863-4","journal-title":"Biol Fertil Soils"},{"key":"8822_CR90","doi-asserted-by":"publisher","DOI":"10.3390\/PLANTS11212976","volume":"11","author":"MP Narsing Rao","year":"2022","unstructured":"Narsing Rao MP, Lohmaneeratana K, Bunyoo C, Thamchaipenet A (2022) Actinobacteria\u2013plant interactions in alleviating abiotic stress. Plants (Basel) 11:2976. https:\/\/doi.org\/10.3390\/PLANTS11212976","journal-title":"Plants (Basel)"},{"key":"8822_CR91","doi-asserted-by":"publisher","first-page":"D259","DOI":"10.1093\/NAR\/GKY1022","volume":"47","author":"RH Nilsson","year":"2019","unstructured":"Nilsson RH, Larsson KH, Taylor AFS et al (2019) The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications. Nucleic Acids Res 47:D259\u2013D264. https:\/\/doi.org\/10.1093\/NAR\/GKY1022","journal-title":"Nucleic Acids Res"},{"key":"8822_CR92","unstructured":"Oksanen J, Simpson G, Blanchet F, et al (2024). vegan: Community Ecology Package - R package version 2.6\u20138. https:\/\/CRAN.R-project.org\/package=vegan."},{"key":"8822_CR93","doi-asserted-by":"publisher","DOI":"10.3390\/AGRICULTURE11010007","volume":"11","author":"E Ozimek","year":"2021","unstructured":"Ozimek E, Hanaka A (2021) Mortierella species as the plant growth-promoting fungi present in the agricultural soils. Agriculture 11:7. https:\/\/doi.org\/10.3390\/AGRICULTURE11010007","journal-title":"Agriculture"},{"key":"8822_CR94","doi-asserted-by":"publisher","DOI":"10.1016\/J.APSOIL.2024.105351","volume":"198","author":"BJ Parasar","year":"2024","unstructured":"Parasar BJ, Sharma I, Agarwala N (2024) Root exudation drives abiotic stress tolerance in plants by recruiting beneficial microbes. Appl Soil Ecol 198:105351. https:\/\/doi.org\/10.1016\/J.APSOIL.2024.105351","journal-title":"Appl Soil Ecol"},{"key":"8822_CR95","doi-asserted-by":"publisher","first-page":"6548","DOI":"10.1073\/pnas.1302837110","volume":"110","author":"JA Peiffer","year":"2013","unstructured":"Peiffer JA, Spor A, Koren O et al (2013) Diversity and heritability of the maize rhizosphere microbiome under field conditions. Proc Natl Acad Sci U S A 110:6548\u20136553. https:\/\/doi.org\/10.1073\/pnas.1302837110","journal-title":"Proc Natl Acad Sci U S A"},{"key":"8822_CR96","doi-asserted-by":"publisher","first-page":"2244","DOI":"10.1038\/ismej.2017.85","volume":"11","author":"JE P\u00e9rez-Jaramillo","year":"2017","unstructured":"P\u00e9rez-Jaramillo JE, Carri\u00f3n VJ, Bosse M et al (2017) Linking rhizosphere microbiome composition of wild and domesticated Phaseolus vulgaris to genotypic and root phenotypic traits. The ISME Journal 11:2244\u20132257. https:\/\/doi.org\/10.1038\/ismej.2017.85","journal-title":"The ISME Journal"},{"key":"8822_CR97","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1111\/AJAE.12507","volume":"107","author":"E Pign\u00e8de","year":"2025","unstructured":"Pign\u00e8de E (2025) Who carries the burden of climate change? Heterogeneous impact of droughts in sub-Saharan Africa. Am J Agric Econ 107:925\u2013957. https:\/\/doi.org\/10.1111\/AJAE.12507","journal-title":"Am J Agric Econ"},{"key":"8822_CR98","unstructured":"Pinheiro J, Bates D, DebRoy S, at al (2022) Package \u2018nlme\u2019. Linear and nonlinear mixed effects models\u00a0(version 3.1-160). https:\/\/svn.r-project.org\/R-packages\/trunk\/nlme\/"},{"key":"8822_CR99","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/J.SOILBIO.2018.12.022","volume":"131","author":"C Preece","year":"2019","unstructured":"Preece C, Verbruggen E, Liu L et al (2019) Effects of past and current drought on the composition and diversity of soil microbial communities. Soil Biol Biochem 131:28\u201339. https:\/\/doi.org\/10.1016\/J.SOILBIO.2018.12.022","journal-title":"Soil Biol Biochem"},{"key":"8822_CR100","doi-asserted-by":"publisher","first-page":"D590","DOI":"10.1093\/NAR\/GKS1219","volume":"41","author":"C Quast","year":"2013","unstructured":"Quast C, Pruesse E, Yilmaz P et al (2013) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:D590\u2013D596. https:\/\/doi.org\/10.1093\/NAR\/GKS1219","journal-title":"Nucleic Acids Res"},{"key":"8822_CR101","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1111\/pce.14755","volume":"47","author":"A Quattrone","year":"2024","unstructured":"Quattrone A, Lopez-Guerrero M, Yadav P et al (2024) Interactions between root hairs and the soil microbial community affect the growth of maize seedlings. Plant Cell Environ 47:611\u2013628. https:\/\/doi.org\/10.1111\/pce.14755","journal-title":"Plant Cell Environ"},{"key":"8822_CR102","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2017.01056","volume":"8","author":"G Quiroga","year":"2017","unstructured":"Quiroga G, Erice G, Aroca R et al (2017) Enhanced drought stress tolerance by the arbuscular mycorrhizal symbiosis in a drought-sensitive maize cultivar is related to a broader and differential regulation of host plant aquaporins than in a drought-tolerant cultivar. Front Plant Sci 8:268043. https:\/\/doi.org\/10.3389\/fpls.2017.01056","journal-title":"Front Plant Sci"},{"key":"8822_CR103","unstructured":"R Core Team (2025) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https:\/\/www.R-project.org\/"},{"key":"8822_CR104","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.3390\/PLANTS12061328\/S1","volume":"12","author":"J Ramos-Garza","year":"2023","unstructured":"Ramos-Garza J, Aguirre-Noyola JL, Bustamante-Brito R et al (2023) Mycobiota of Mexican Maize Landraces with Auxin-Producing Yeasts That Improve Plant Growth and Root Development. Plants 12:1328. https:\/\/doi.org\/10.3390\/PLANTS12061328\/S1","journal-title":"Plants"},{"key":"8822_CR105","doi-asserted-by":"publisher","DOI":"10.7717\/PEERJ.2584\/FIG-7","volume":"2016","author":"T Rognes","year":"2016","unstructured":"Rognes T, Flouri T, Nichols B et al (2016) VSEARCH: A versatile open source tool for metagenomics. PeerJ 2016:e2584. https:\/\/doi.org\/10.7717\/PEERJ.2584\/FIG-7","journal-title":"PeerJ"},{"key":"8822_CR106","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2021.614501","volume":"12","author":"L R\u00fcger","year":"2021","unstructured":"R\u00fcger L, Feng K, Dumack K et al (2021) Assembly patterns of the rhizosphere microbiome along the longitudinal root axis of maize (Zea mays L.). Front Microbiol 12:614501. https:\/\/doi.org\/10.3389\/fmicb.2021.614501","journal-title":"Front Microbiol"},{"key":"8822_CR107","doi-asserted-by":"publisher","first-page":"1434","DOI":"10.1111\/nph.19002","volume":"239","author":"L R\u00fcger","year":"2023","unstructured":"R\u00fcger L, Ganther M, Freudenthal J et al (2023) Root cap is an important determinant of rhizosphere microbiome assembly. New Phytol 239:1434\u20131448. https:\/\/doi.org\/10.1111\/nph.19002","journal-title":"New Phytol"},{"key":"8822_CR108","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1104\/PP.113.232603","volume":"166","author":"P Saengwilai","year":"2014","unstructured":"Saengwilai P, Tian X, Lynch JP (2014) Low crown root number enhances nitrogen acquisition from low-nitrogen soils in maize. Plant Physiol 166:581\u2013589. https:\/\/doi.org\/10.1104\/PP.113.232603","journal-title":"Plant Physiol"},{"key":"8822_CR109","doi-asserted-by":"publisher","unstructured":"S\u00e1nchez-Arizpe A, Luis Arispe-V\u00e1zquez J, Alejandro Cadena-Zamudio D, et al (2023) Toxigenic fungi collected in maize fields from four states of Mexico. 463 AJCS 17:1835\u20132707. https:\/\/doi.org\/10.21475\/ajcs.23.17.05.p3846","DOI":"10.21475\/ajcs.23.17.05.p3846"},{"key":"8822_CR110","doi-asserted-by":"publisher","DOI":"10.1128\/msphere.00354-23","author":"PD Schloss","year":"2024","unstructured":"Schloss PD (2024) Rarefaction is currently the best approach to control for uneven sequencing effort in amplicon sequence analyses. mSphere. https:\/\/doi.org\/10.1128\/msphere.00354-23","journal-title":"mSphere"},{"key":"8822_CR111","doi-asserted-by":"publisher","DOI":"10.1016\/J.SOILBIO.2020.107794","volume":"145","author":"JE Schmidt","year":"2020","unstructured":"Schmidt JE, Mazza Rodrigues JL, Brisson VL et al (2020) Impacts of directed evolution and soil management legacy on the maize rhizobiome. Soil Biol Biochem 145:107794. https:\/\/doi.org\/10.1016\/J.SOILBIO.2020.107794","journal-title":"Soil Biol Biochem"},{"key":"8822_CR112","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1038\/NMETH.2089","volume":"9","author":"CA Schneider","year":"2012","unstructured":"Schneider CA, Rasband WS, Eliceiri KW (2012) NIH image to ImageJ: 25 years of image analysis. Nat Methods 9:671\u2013675. https:\/\/doi.org\/10.1038\/NMETH.2089","journal-title":"Nat Methods"},{"key":"8822_CR113","doi-asserted-by":"publisher","DOI":"10.1073\/PNAS.2012087118","volume":"118","author":"HM Schneider","year":"2021","unstructured":"Schneider HM, Strock CF, Hanlon MT et al (2021) Multiseriate cortical sclerenchyma enhance root penetration in compacted soils. Proc Natl Acad Sci U S A 118:e2012087118. https:\/\/doi.org\/10.1073\/PNAS.2012087118","journal-title":"Proc Natl Acad Sci U S A"},{"key":"8822_CR114","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1139\/B09-105","volume":"88","author":"JN Sharda","year":"2010","unstructured":"Sharda JN, Koide RT (2010) Exploring the role of root anatomy in P-mediated control of colonization by arbuscular mycorrhizal fungi. Botany 88:165\u2013173. https:\/\/doi.org\/10.1139\/B09-105","journal-title":"Botany"},{"key":"8822_CR115","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.1111\/TPJ.16672","volume":"118","author":"JS Sidhu","year":"2024","unstructured":"Sidhu JS, Lynch JP (2024) Cortical cell size regulates root metabolic cost. Plant J 118:1343\u20131357. https:\/\/doi.org\/10.1111\/TPJ.16672","journal-title":"Plant J"},{"key":"8822_CR116","doi-asserted-by":"publisher","first-page":"5750","DOI":"10.1093\/JXB\/ERAE191","volume":"75","author":"JS Sidhu","year":"2024","unstructured":"Sidhu JS, Lopez-Valdivia I, Strock CF et al (2024) Cortical parenchyma wall width regulates root metabolic cost and maize performance under suboptimal water availability. J Exp Bot 75:5750\u20135767. https:\/\/doi.org\/10.1093\/JXB\/ERAE191","journal-title":"J Exp Bot"},{"key":"8822_CR117","doi-asserted-by":"publisher","DOI":"10.1101\/PDB.PROT108585","author":"JS Sidhu","year":"2024","unstructured":"Sidhu JS, Schneider HM (2024) Root anatomy: preparing, imaging, and analyzing maize root cross-sections. Cold Spring Harb Protoc. https:\/\/doi.org\/10.1101\/PDB.PROT108585","journal-title":"Cold Spring Harb Protoc"},{"key":"8822_CR118","doi-asserted-by":"publisher","DOI":"10.3791\/57561","author":"T Simmons","year":"2018","unstructured":"Simmons T, Caddell DF, Deng S, Coleman-Derr D (2018) Exploring the root microbiome: extracting bacterial community data from the soil, rhizosphere, and root endosphere. J Vis Exp. https:\/\/doi.org\/10.3791\/57561","journal-title":"J Vis Exp"},{"key":"8822_CR119","doi-asserted-by":"publisher","unstructured":"Storey JD (2002) A Direct Approach to False Discovery Rates. Source: Journal of the Royal Statistical Society Series B (Statistical Methodology) 64:479\u2013498. https:\/\/doi.org\/10.1111\/1467-9868.00346","DOI":"10.1111\/1467-9868.00346"},{"key":"8822_CR120","doi-asserted-by":"publisher","first-page":"5327","DOI":"10.1093\/JXB\/ERZ271","volume":"70","author":"CF Strock","year":"2019","unstructured":"Strock CF, Schneider HM, Galindo-Casta\u00f1eda T et al (2019) Laser ablation tomography for visualization of root colonization by edaphic organisms. J Exp Bot 70:5327\u20135342. https:\/\/doi.org\/10.1093\/JXB\/ERZ271","journal-title":"J Exp Bot"},{"key":"8822_CR121","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/S12870-025-06793-3","volume":"25","author":"AS Taha","year":"2025","unstructured":"Taha AS, Fathey HA, Mohamed AH et al (2025) Mitigating drought stress and enhancing maize resistance through biopriming with Rhizopus arrhizus: insights into Morpho-Biochemical and molecular adjustments. BMC Plant Biology 25:1\u201324. https:\/\/doi.org\/10.1186\/S12870-025-06793-3","journal-title":"BMC Plant Biology"},{"key":"8822_CR122","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2022.919166","volume":"13","author":"H Tang","year":"2022","unstructured":"Tang H, Hassan MU, Feng L et al (2022) The critical role of arbuscular mycorrhizal fungi to improve drought tolerance and nitrogen use efficiency in crops. Front Plant Sci 13:919166. https:\/\/doi.org\/10.3389\/fpls.2022.919166","journal-title":"Front Plant Sci"},{"key":"8822_CR123","doi-asserted-by":"publisher","first-page":"7217","DOI":"10.1128\/AEM.02576-16","volume":"82","author":"DL Taylor","year":"2016","unstructured":"Taylor DL, Walters WA, Lennon NJ et al (2016) Accurate estimation of fungal diversity and abundance through improved lineage-specific primers optimized for Illumina amplicon sequencing. Appl Environ Microbiol 82:7217\u20137226. https:\/\/doi.org\/10.1128\/AEM.02576-16","journal-title":"Appl Environ Microbiol"},{"key":"8822_CR124","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1046\/J.1364-3703.2003.00173.X","volume":"4","author":"BPHJ Thomma","year":"2003","unstructured":"Thomma BPHJ (2003) Alternaria spp.: from general saprophyte to specific parasite. Mol Plant Pathol 4:225\u2013236. https:\/\/doi.org\/10.1046\/J.1364-3703.2003.00173.X","journal-title":"Mol Plant Pathol"},{"key":"8822_CR125","doi-asserted-by":"publisher","DOI":"10.1016\/J.APSOIL.2024.105743","volume":"204","author":"L Tian","year":"2024","unstructured":"Tian L, Han M, Liang K et al (2024) Profiling of farmland microorganisms in maize and minor-grain crops under extreme drought conditions. Appl Soil Ecol 204:105743. https:\/\/doi.org\/10.1016\/J.APSOIL.2024.105743","journal-title":"Appl Soil Ecol"},{"key":"8822_CR126","doi-asserted-by":"publisher","DOI":"10.1016\/J.ENVEXPBOT.2022.105071","volume":"203","author":"R Tiziani","year":"2022","unstructured":"Tiziani R, Miras-Moreno B, Malacrin\u00f2 A et al (2022) Drought, heat, and their combination impact the root exudation patterns and rhizosphere microbiome in maize roots. Environ Exp Bot 203:105071. https:\/\/doi.org\/10.1016\/J.ENVEXPBOT.2022.105071","journal-title":"Environ Exp Bot"},{"key":"8822_CR127","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/s11104-010-0623-8","volume":"341","author":"S Trachsel","year":"2011","unstructured":"Trachsel S, Kaeppler SM, Brown KM, Lynch JP (2011) Shovelomics: high throughput phenotyping of maize (Zea mays L.) root architecture in the field. Plant Soil 341:75\u201387. https:\/\/doi.org\/10.1007\/s11104-010-0623-8","journal-title":"Plant Soil"},{"key":"8822_CR128","doi-asserted-by":"publisher","first-page":"4243","DOI":"10.1093\/JXB\/ERAA165","volume":"71","author":"DJ Vanhees","year":"2020","unstructured":"Vanhees DJ, Loades KW, Glyn Bengough A et al (2020) Root anatomical traits contribute to deeper rooting of maize under compacted field conditions. J Exp Bot 71:4243\u20134257. https:\/\/doi.org\/10.1093\/JXB\/ERAA165","journal-title":"J Exp Bot"},{"key":"8822_CR129","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/17429145.2010.535178","volume":"6","author":"S Vardharajula","year":"2011","unstructured":"Vardharajula S, Ali SZ, Grover M et al (2011) Drought-tolerant plant growth promoting Bacillus spp.: effect on growth, osmolytes, and antioxidant status of maize under drought stress. J Plant Interact 6:1\u201314. https:\/\/doi.org\/10.1080\/17429145.2010.535178","journal-title":"J Plant Interact"},{"key":"8822_CR130","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2025.1495662","volume":"16","author":"RA Vieira","year":"2025","unstructured":"Vieira RA, Nogueira APO, Fritsche-Neto R (2025) Optimizing the selection of quantitative traits in plant breeding using simulation. Front Plant Sci 16:1495662. https:\/\/doi.org\/10.3389\/fpls.2025.1495662","journal-title":"Front Plant Sci"},{"key":"8822_CR131","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2015.00586","volume":"6","author":"NOE Vischer","year":"2015","unstructured":"Vischer NOE, Verheul J, Postma M et al (2015) Cell age dependent concentration of Escherichia coli divisome proteins analyzed with ImageJ and ObjectJ. Front Microbiol 6:135279. https:\/\/doi.org\/10.3389\/fmicb.2015.00586","journal-title":"Front Microbiol"},{"key":"8822_CR132","doi-asserted-by":"publisher","first-page":"7368","DOI":"10.1073\/pnas.1800918115","volume":"115","author":"WA Walters","year":"2018","unstructured":"Walters WA, Jin Z, Youngblut N et al (2018) Large-scale replicated field study of maize rhizosphere identifies heritable microbes. Proc Natl Acad Sci U S A 115:7368\u20137373. https:\/\/doi.org\/10.1073\/pnas.1800918115","journal-title":"Proc Natl Acad Sci U S A"},{"key":"8822_CR133","doi-asserted-by":"publisher","first-page":"3699","DOI":"10.1111\/1365-2745.13746","volume":"109","author":"R Wang","year":"2021","unstructured":"Wang R, Cavagnaro TR, Jiang Y et al (2021) Carbon allocation to the rhizosphere is affected by drought and nitrogen addition. J Ecol 109:3699\u20133709. https:\/\/doi.org\/10.1111\/1365-2745.13746","journal-title":"J Ecol"},{"key":"8822_CR134","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40168-024-01839-4","volume":"12","author":"D Wang","year":"2024","unstructured":"Wang D, He X, Baer M et al (2024) Lateral root enriched Massilia associated with plant flowering in maize. Microbiome 12:1\u201320. https:\/\/doi.org\/10.1186\/s40168-024-01839-4","journal-title":"Microbiome"},{"issue":"8","key":"8822_CR135","doi-asserted-by":"publisher","first-page":"241","DOI":"10.3390\/AGRONOMY8110241","volume":"241","author":"A Wasaya","year":"2018","unstructured":"Wasaya A, Zhang X, Fang Q, Yan Z (2018) Root Phenotyping for Drought Tolerance: A Review. Agronomy, Page 241(8):241. https:\/\/doi.org\/10.3390\/AGRONOMY8110241","journal-title":"Agronomy, Page"},{"key":"8822_CR136","doi-asserted-by":"publisher","DOI":"10.1016\/J.AGEE.2025.109505","volume":"382","author":"X Wen","year":"2025","unstructured":"Wen X, Lu J, Zou J et al (2025) Maize genotypes foster distinctive bacterial and fungal communities in the rhizosphere. Agric Ecosyst Environ 382:109505. https:\/\/doi.org\/10.1016\/J.AGEE.2025.109505","journal-title":"Agric Ecosyst Environ"},{"key":"8822_CR137","doi-asserted-by":"publisher","first-page":"1899","DOI":"10.1111\/NPH.16223","volume":"225","author":"A Williams","year":"2020","unstructured":"Williams A, de Vries FT (2020) Plant root exudation under drought: implications for ecosystem functioning. New Phytol 225:1899\u20131905. https:\/\/doi.org\/10.1111\/NPH.16223","journal-title":"New Phytol"},{"key":"8822_CR138","doi-asserted-by":"publisher","unstructured":"Wu C, Zhang X, Liu Y, et al (2024) Drought Stress Increases the Complexity of the Bacterial Network in the Rhizosphere and Endosphere of Rice (Oryza sativa L.). Agronomy Page 14:1662. https:\/\/doi.org\/10.3390\/AGRONOMY14081662","DOI":"10.3390\/AGRONOMY14081662"},{"key":"8822_CR139","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-23553-7","volume":"12","author":"L Xu","year":"2021","unstructured":"Xu L, Dong Z, Chiniquy D et al (2021) Genome-resolved metagenomics reveals role of iron metabolism in drought-induced rhizosphere microbiome dynamics. Nat Commun 12:3209. https:\/\/doi.org\/10.1038\/s41467-021-23553-7","journal-title":"Nat Commun"},{"key":"8822_CR140","doi-asserted-by":"publisher","first-page":"2300","DOI":"10.3390\/PLANTS11172300\/S1","volume":"11","author":"M Yan","year":"2022","unstructured":"Yan M, Zhang L, Ren Y et al (2022) The Higher Water Absorption Capacity of Small Root System Improved the Yield and Water Use Efficiency of Maize. Plants 11:2300. https:\/\/doi.org\/10.3390\/PLANTS11172300\/S1","journal-title":"Plants"},{"key":"8822_CR141","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1038\/s41477-021-00897-y","volume":"7","author":"P Yu","year":"2021","unstructured":"Yu P, He X, Baer M et al (2021) Plant flavones enrich rhizosphere Oxalobacteraceae to improve maize performance under nitrogen deprivation. Nature Plants. 7:481\u2013499. https:\/\/doi.org\/10.1038\/s41477-021-00897-y","journal-title":"Nature Plants."},{"key":"8822_CR142","doi-asserted-by":"publisher","first-page":"1240","DOI":"10.1111\/nph.14893","volume":"217","author":"P Yu","year":"2018","unstructured":"Yu P, Wang C, Baldauf JA et al (2018) Root type and soil phosphate determine the taxonomic landscape of colonizing fungi and the transcriptome of field-grown maize roots. New Phytol 217:1240\u20131253. https:\/\/doi.org\/10.1111\/nph.14893","journal-title":"New Phytol"},{"key":"8822_CR143","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1007\/s00248-020-01678-4","volume":"82","author":"X Zai","year":"2021","unstructured":"Zai X, Luo W, Bai W et al (2021) Effect of root diameter on the selection and network interactions of root-associated bacterial microbiomes in Robinia pseudoacacia L. Microb Ecol 82:391\u2013402. https:\/\/doi.org\/10.1007\/s00248-020-01678-4","journal-title":"Microb Ecol"},{"key":"8822_CR144","doi-asserted-by":"publisher","first-page":"1603","DOI":"10.1104\/pp.15.00187","volume":"168","author":"A Zhan","year":"2015","unstructured":"Zhan A, Schneider H, Lynch JP (2015) Reduced lateral root branching density improves drought tolerance in maize. Plant Physiol 168:1603\u20131615. https:\/\/doi.org\/10.1104\/pp.15.00187","journal-title":"Plant Physiol"},{"key":"8822_CR145","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1111\/j.1365-3040.2009.02099.x","volume":"33","author":"J Zhu","year":"2010","unstructured":"Zhu J, Brown KM, Lynch JP (2010) Root cortical aerenchyma improves the drought tolerance of maize (Zea mays L.). Plant Cell Environ 33:740\u2013749. https:\/\/doi.org\/10.1111\/j.1365-3040.2009.02099.x","journal-title":"Plant Cell Environ"},{"key":"8822_CR146","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s11104-004-1697-y","volume":"270","author":"J Zhu","year":"2005","unstructured":"Zhu J, Kaeppler SM, Lynch JP (2005) Mapping of QTL controlling root hair length in maize (Zea mays L.) under phosphorus deficiency. Plant Soil 270:299\u2013310. https:\/\/doi.org\/10.1007\/s11104-004-1697-y","journal-title":"Plant Soil"},{"key":"8822_CR147","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-87458-6","volume-title":"Mixed effects models and extensions in ecology with R","author":"AF Zuur","year":"2009","unstructured":"Zuur AF, Ieno EN, Walker N et al (2009) Mixed effects models and extensions in ecology with R. Springer, Statistics for Biology and Health. https:\/\/doi.org\/10.1007\/978-0-387-87458-6"}],"container-title":["Plant and Soil"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11104-026-08822-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11104-026-08822-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11104-026-08822-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T15:02:04Z","timestamp":1788015724000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11104-026-08822-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,11]]},"references-count":147,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,8]]}},"alternative-id":["8822"],"URL":"https:\/\/doi.org\/10.1007\/s11104-026-08822-y","relation":{},"ISSN":["0032-079X","1573-5036"],"issn-type":[{"value":"0032-079X","type":"print"},{"value":"1573-5036","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,11]]},"assertion":[{"value":"19 December 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no relevant financial or non-financial conflict of interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}]}}