{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T06:18:38Z","timestamp":1790662718492,"version":"4.1.0"},"reference-count":88,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T00:00:00Z","timestamp":1657152000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T00:00:00Z","timestamp":1657152000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Genomics"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Proteins within aphid saliva play a crucial role as the molecular interface between aphids and their host plants. These salivary effectors modulate plant responses to favour aphid feeding and facilitate infestation. The identification of effectors from economically important pest species is central in understanding the molecular events during the aphid-plant interaction. The Russian wheat aphid (<jats:italic>Diuraphis noxia<\/jats:italic>, Kurdjumov) is one such pest that causes devastating losses to wheat and barley yields worldwide. Despite the severe threat to food security posed by <jats:italic>D. noxia<\/jats:italic>, the non-model nature of this pest and its host has hindered progress towards understanding this interaction. In this study, in the absence of a salivary gland transcriptome, whole-body transcriptomics data was mined to generate a candidate effector catalogue for <jats:italic>D. noxia<\/jats:italic>.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Mining the transcriptome identified 725 transcripts encoding putatively secreted proteins amongst which were transcripts specific to <jats:italic>D. noxia<\/jats:italic>. Six of the seven examined <jats:italic>D. noxia<\/jats:italic> putative effectors, termed <jats:italic>DnE<\/jats:italic>\u2019s (<jats:italic>Diuraphis noxia<\/jats:italic> effectors) exhibited salivary gland-specific expression. A comparative analysis between whole-body <jats:italic>D. noxia<\/jats:italic> transcriptome data versus the head and body transcriptomes from three other aphid species allowed us to define a catalogue of transcripts putatively upregulated in <jats:italic>D. noxia<\/jats:italic> head tissue. Five of these were selected for RT-qPCR confirmation, and were found to corroborate the differential expression predictions, with a further three confirmed to be highly expressed in <jats:italic>D. noxia<\/jats:italic> salivary gland tissue.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Determining a putative effector catalogue for <jats:italic>D. noxia<\/jats:italic> from whole-transcriptome data, particularly the identification of salivary-specific sequences potentially unique to <jats:italic>D. noxia<\/jats:italic>, provide the basis for future functional characterisation studies to gain further insight into this aphid-plant interaction. Furthermore, due to a lack of publicly available aphid salivary gland transcriptome data, the capacity to use comparative transcriptomics to compile a list of putative effector candidates from whole-body transcriptomics data will further the study of effectors in various aphid species.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12864-022-08712-4","type":"journal-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T22:03:09Z","timestamp":1657231389000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Whole-body transcriptome mining for candidate effectors from Diuraphis noxia"],"prefix":"10.1186","volume":"23","author":[{"given":"Vittorio F.","family":"Nicolis","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N. Francois V.","family":"Burger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna-Maria","family":"Botha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"key":"8712_CR1","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1111\/aen.12292","volume":"57","author":"M Yazdani","year":"2018","unstructured":"Yazdani M, Baker G, DeGraaf H, Henry K, Hill K, Kimber B, et al. First detection of Russian wheat aphid Diuraphis noxia Kurdjumov (Hemiptera: Aphididae) in Australia: a major threat to cereal production. Austral Entomol. 2018;57:410\u20137. https:\/\/doi.org\/10.1111\/aen.12292.","journal-title":"Austral Entomol."},{"key":"8712_CR2","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1017\/S0007485318000226","volume":"109","author":"GA Avila","year":"2019","unstructured":"Avila GA, Davidson M, Van Helden M, Fagan L. The potential distribution of the Russian wheat aphid (Diuraphis noxia): an updated distribution model including irrigation improves model fit for predicting potential spread. Bull. Entomol. Res. 2019;109:90\u2013101. https:\/\/doi.org\/10.1017\/S0007485318000226.","journal-title":"Bull. Entomol. Res."},{"key":"8712_CR3","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.2135\/cropsci2017.10.0649","volume":"58","author":"G Li","year":"2018","unstructured":"Li G, Xu X, Carver BF, Guo P, Puterka G. Dn10, a new gene conferring resistance to Russian wheat aphid biotype 2 in Iranian wheat landrace PI 682675. Crop Sci. 2018;58:1219\u201325. https:\/\/doi.org\/10.2135\/cropsci2017.10.0649.","journal-title":"Crop Sci."},{"key":"8712_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3835\/plantgenome2018.09.0065","volume":"12","author":"Z Tulpov\u00e1","year":"2019","unstructured":"Tulpov\u00e1 Z, Toegelov\u00e1 H, Lapitan NL, Peairs FB, Macas J, Nov\u00e1k P, et al. Accessing a Russian wheat aphid resistance gene in bread wheat by long-read technologies. Plant Genome. 2019;12:1\u201311. https:\/\/doi.org\/10.3835\/plantgenome2018.09.0065.","journal-title":"Plant Genome"},{"key":"8712_CR5","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.sajb.2016.12.006","volume":"109","author":"CEJ Botha","year":"2017","unstructured":"Botha CEJ, Sacranie S, Gallagher S, Hill JM. Russian wheat aphids: Breakfast, lunch, and supper. Feasting on small grains in South Africa. S. Afr. J. Bot. 2017;109:154\u201373. https:\/\/doi.org\/10.1016\/j.sajb.2016.12.006.","journal-title":"S. Afr. J. Bot."},{"key":"8712_CR6","doi-asserted-by":"publisher","first-page":"2252","DOI":"10.1016\/j.jprot.2012.01.031","volume":"75","author":"SJ Nicholson","year":"2012","unstructured":"Nicholson SJ, Hartson SD, Puterka GJ. Proteomic analysis of secreted saliva from Russian Wheat Aphid (Diuraphis noxia Kurd.) biotypes that differ in virulence to wheat. J Proteomics. 2012;75:2252\u201368. https:\/\/doi.org\/10.1016\/j.jprot.2012.01.031.","journal-title":"J Proteomics"},{"key":"8712_CR7","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s00299-005-0001-9","volume":"25","author":"AM Botha","year":"2006","unstructured":"Botha AM, Lacock L, van Niekerk C, Matsioloko MT, du Preez FB, Loots S, et al. Is photosynthetic transcriptional regulation in Triticum aestivum L. cv.\u2018TugelaDN\u2019a contributing factor for tolerance to Diuraphis noxia (Homoptera: Aphididae)? Plant Cell Rep. 2006;25:41. https:\/\/doi.org\/10.1007\/s00299-005-0001-9.","journal-title":"Plant Cell Rep."},{"key":"8712_CR8","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1093\/jee\/96.2.475","volume":"96","author":"TM Heng-Moss","year":"2003","unstructured":"Heng-Moss TM, Ni X, Macedo T, Markwell JP, Baxendale FP, Quisenberry SS, et al. Comparison of chlorophyll and carotenoid concentrations among Russian wheat aphid (Homoptera: Aphididae)-infested wheat isolines. J. Econ. Entomol. 2003;96:475\u201381. https:\/\/doi.org\/10.1093\/jee\/96.2.475.","journal-title":"J. Econ. Entomol."},{"key":"8712_CR9","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/s11829-008-9048-1","volume":"2","author":"LD Franzen","year":"2008","unstructured":"Franzen LD, Gutsche AR, Heng-Moss TM, Higley LG, Macedo TB. Physiological responses of wheat and barley to Russian wheat aphid, Diuraphis noxia (Mordvilko) and bird cherry-oat aphid, Rhopalosiphum padi (L.)(Hemiptera: Aphididae). Arthropod Plant Interact. 2008;2:227\u201335. https:\/\/doi.org\/10.1007\/s11829-008-9048-1.","journal-title":"Arthropod Plant Interact."},{"key":"8712_CR10","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1046\/j.1570-7458.1999.00508.x","volume":"91","author":"A Telang","year":"1999","unstructured":"Telang A, Sandstr\u00f6m J, Dyreson E, Moran NA. Feeding damage by Diuraphis noxia results in a nutritionally enhanced phloem diet. Entomol. Exp. Appl. 1999;91:403\u201312. https:\/\/doi.org\/10.1046\/j.1570-7458.1999.00508.x.","journal-title":"Entomol. Exp. Appl."},{"key":"8712_CR11","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/s0022-1910(99)00098-0","volume":"46","author":"J Sandstr\u00f6m","year":"2000","unstructured":"Sandstr\u00f6m J, Telang A, Moran NA. Nutritional enhancement of host plants by aphids\u2014a comparison of three aphid species on grasses. J. Insect Physiol. 2000;46:33\u201340. https:\/\/doi.org\/10.1016\/s0022-1910(99)00098-0.","journal-title":"J. Insect Physiol."},{"key":"8712_CR12","doi-asserted-by":"publisher","unstructured":"Bos JI, Prince D, Pitino M, Maffei ME, Win J, Hogenhout SA. A functional genomics approach identifies candidate effectors from the aphid species Myzus persicae (green peach aphid). PLoS Genet. 2010;6. https:\/\/doi.org\/10.1371\/journal.pgen.1001216.","DOI":"10.1371\/journal.pgen.1001216"},{"key":"8712_CR13","doi-asserted-by":"publisher","first-page":"854","DOI":"10.1094\/MPMI-08-16-0168-R","volume":"29","author":"ST Mugford","year":"2016","unstructured":"Mugford ST, Barclay E, Drurey C, Findlay KC, Hogenhout SA. An immuno-suppressive aphid saliva protein is delivered into the cytosol of plant mesophyll cells during feeding. MPMI. 2016;29:854\u201361. https:\/\/doi.org\/10.1094\/MPMI-08-16-0168-R.","journal-title":"MPMI"},{"key":"8712_CR14","doi-asserted-by":"publisher","first-page":"1892","DOI":"10.1104\/pp.16.01458","volume":"173","author":"PA Rodriguez","year":"2017","unstructured":"Rodriguez PA, Escudero-Martinez C, Bos JI. An aphid effector targets trafficking protein VPS52 in a host-specific manner to promote virulence. Plant Physiol. 2017;173:1892\u2013903. https:\/\/doi.org\/10.1104\/pp.16.01458.","journal-title":"Plant Physiol."},{"key":"8712_CR15","doi-asserted-by":"publisher","first-page":"1554","DOI":"10.1093\/gbe\/evy097","volume":"10","author":"H Boulain","year":"2018","unstructured":"Boulain H, Legeai F, Guy E, Morliere S, Douglas NE, Oh J, et al. Fast evolution and lineage-specific gene family expansions of aphid salivary effectors driven by interactions with host-plants. Genome Biol. Evol. 2018;10:1554\u201372. https:\/\/doi.org\/10.1093\/gbe\/evy097.","journal-title":"Genome Biol. Evol."},{"key":"8712_CR16","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.3389\/fpls.2020.01230","volume":"11","author":"M Dommel","year":"2020","unstructured":"Dommel M, Oh J, Huguet-Tapia JC, Guy E, Boulain H, Sugio A, et al. Big genes, small effectors: Pea aphid cassette effector families composed from miniature exons. Front. Plant Sci. 2020;11:1230. https:\/\/doi.org\/10.3389\/fpls.2020.01230.","journal-title":"Front. Plant Sci."},{"key":"8712_CR17","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1111\/j.1365-2583.2008.00790.x","volume":"17","author":"N Harmel","year":"2008","unstructured":"Harmel N, L\u00e9tocart E, Cherqui A, Giordanengo P, Mazzucchelli G, Guillonneau F, et al. Identification of aphid salivary proteins: a proteomic investigation of Myzus persicae. Insect Mol. Biol. 2008;17:165\u201374. https:\/\/doi.org\/10.1111\/j.1365-2583.2008.00790.x.","journal-title":"Insect Mol. Biol."},{"key":"8712_CR18","doi-asserted-by":"publisher","first-page":"2457","DOI":"10.1002\/pmic.200800692","volume":"9","author":"JC Carolan","year":"2009","unstructured":"Carolan JC, Fitzroy CI, Ashton PD, Douglas AE, Wilkinson TL. The secreted salivary proteome of the pea aphid Acyrthosiphon pisum characterised by mass spectrometry. Proteomics. 2009;9:2457\u201367. https:\/\/doi.org\/10.1002\/pmic.200800692.","journal-title":"Proteomics"},{"key":"8712_CR19","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1603\/EN10153","volume":"40","author":"WR Cooper","year":"2011","unstructured":"Cooper WR, Dillwith JW, Puterka GJ. Comparisons of salivary proteins from five aphid (Hemiptera: Aphididae) species. Environ. Entomol. 2011;40:151\u20136. https:\/\/doi.org\/10.1603\/EN10153.","journal-title":"Environ. Entomol."},{"key":"8712_CR20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0057413","volume":"8","author":"SA Rao","year":"2013","unstructured":"Rao SA, Carolan JC, Wilkinson TL. Proteomic profiling of cereal aphid saliva reveals both ubiquitous and adaptive secreted proteins. PLoS One. 2013;8:e57413. https:\/\/doi.org\/10.1371\/journal.pone.0057413.","journal-title":"PLoS One"},{"key":"8712_CR21","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1017\/S0007485313000618","volume":"104","author":"A Sharma","year":"2014","unstructured":"Sharma A, Khan AN, Subrahmanyam S, Raman A, Taylor GS, Fletcher MJ. Salivary proteins of plant-feeding hemipteroids-implication in phytophagy. Bull. Entomol. Res. 2014;104:117. https:\/\/doi.org\/10.1017\/S0007485313000618.","journal-title":"Bull. Entomol. Res."},{"key":"8712_CR22","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1016\/j.jprot.2013.12.005","volume":"105","author":"SJ Nicholson","year":"2014","unstructured":"Nicholson SJ, Puterka GJ. Variation in the salivary proteomes of differentially virulent greenbug (Schizaphis graminum Rondani) biotypes. J Proteomics. 2014;105:186\u2013203. https:\/\/doi.org\/10.1016\/j.jprot.2013.12.005.","journal-title":"J Proteomics"},{"key":"8712_CR23","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1111\/imb.12061","volume":"23","author":"S Vandermoten","year":"2014","unstructured":"Vandermoten S, Harmel N, Mazzucchelli G, De Pauw E, Haubruge E, Francis F. Comparative analyses of salivary proteins from three aphid species. Insect Mol. Biol. 2014;23:67\u201377. https:\/\/doi.org\/10.1111\/imb.12061.","journal-title":"Insect Mol. Biol."},{"key":"8712_CR24","doi-asserted-by":"publisher","first-page":"1762","DOI":"10.1021\/pr501128k","volume":"14","author":"R Chaudhary","year":"2015","unstructured":"Chaudhary R, Atamian HS, Shen Z, Briggs SP, Kaloshian I. Potato aphid salivary proteome: enhanced salivation using resorcinol and identification of aphid phosphoproteins. J. Proteome Res. 2015;14:1762\u201378. https:\/\/doi.org\/10.1021\/pr501128k.","journal-title":"J. Proteome Res."},{"key":"8712_CR25","doi-asserted-by":"publisher","first-page":"1700378","DOI":"10.1002\/pmic.201700378","volume":"18","author":"Z Yang","year":"2018","unstructured":"Yang Z, Ma L, Francis F, Yang Y, Chen H, Wu H, et al. Proteins identified from saliva and salivary glands of the Chinese gall aphid Schlechtendalia chinensis. Proteomics. 2018;18:1700378. https:\/\/doi.org\/10.1002\/pmic.201700378.","journal-title":"Proteomics"},{"key":"8712_CR26","doi-asserted-by":"publisher","first-page":"605","DOI":"10.3389\/fpls.2020.00605","volume":"11","author":"JR MacWilliams","year":"2020","unstructured":"MacWilliams JR, Dingwall S, Chesnais Q, Sugio A, Kaloshian I. AcDCXR is a cowpea aphid effector with putative roles in altering host immunity and physiology. Front. Plant Sci. 2020;11:605. https:\/\/doi.org\/10.3389\/fpls.2020.00605.","journal-title":"Front. Plant Sci."},{"key":"8712_CR27","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1094\/MPMI-06-12-0144-FI","volume":"26","author":"HS Atamian","year":"2013","unstructured":"Atamian HS, Chaudhary R, Cin VD, Bao E, Girke T, Kaloshian I. In planta expression or delivery of potato aphid Macrosiphum euphorbiae effectors Me10 and Me23 enhances aphid fecundity. MPMI. 2013;26:67\u201374. https:\/\/doi.org\/10.1094\/MPMI-06-12-0144-FI.","journal-title":"MPMI"},{"key":"8712_CR28","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1186\/s12864-016-2496-6","volume":"17","author":"P Thorpe","year":"2016","unstructured":"Thorpe P, Cock PJ, Bos J. Comparative transcriptomics and proteomics of three different aphid species identifies core and diverse effector sets. BMC Genom. 2016;17:172. https:\/\/doi.org\/10.1186\/s12864-016-2496-6.","journal-title":"BMC Genom."},{"key":"8712_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-017-16092-z","volume":"7","author":"Y Zhang","year":"2017","unstructured":"Zhang Y, Fan J, Sun J, Francis F, Chen J. Transcriptome analysis of the salivary glands of the grain aphid, Sitobion avenae. Sci. Rep. 2017;7:1\u201314. https:\/\/doi.org\/10.1038\/s41598-017-16092-z.","journal-title":"Sci. Rep."},{"key":"8712_CR30","doi-asserted-by":"publisher","first-page":"1301","DOI":"10.3389\/fpls.2019.01301","volume":"10","author":"H Boulain","year":"2019","unstructured":"Boulain H, Legeai F, Jaqui\u00e9ry J, Guy E, Morli\u00e8re S, Simon JC, et al. Differential expression of candidate salivary effector genes in pea aphid biotypes with distinct host plant specificity. Front. Plant Sci. 2019;10:1301. https:\/\/doi.org\/10.3389\/fpls.2019.01301.","journal-title":"Front. Plant Sci."},{"key":"8712_CR31","doi-asserted-by":"publisher","unstructured":"Lemus LP, Tricard J, Duclercq J, Coulette Q, Giron D, Hano C, et al. Salivary proteins of Phloeomyzus passerinii, a plant-manipulating aphid, and their impact on early gene responses of susceptible and resistant poplar genotypes. Plant Sci. 2020;110468. https:\/\/doi.org\/10.1016\/j.plantsci.2020.110468.","DOI":"10.1016\/j.plantsci.2020.110468"},{"key":"8712_CR32","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1094\/MPMI-07-12-0172-FI","volume":"26","author":"M Pitino","year":"2013","unstructured":"Pitino M, Hogenhout SA. Aphid protein effectors promote aphid colonization in a plant species-specific manner. MPMI. 2013;26:130\u20139. https:\/\/doi.org\/10.1094\/MPMI-07-12-0172-FI.","journal-title":"MPMI"},{"key":"8712_CR33","doi-asserted-by":"publisher","first-page":"9965","DOI":"10.1073\/pnas.0708958105","volume":"105","author":"NS Mutti","year":"2008","unstructured":"Mutti NS, Louis J, Pappan LK, Pappan K, Begum K, Chen MS, et al. A protein from the salivary glands of the pea aphid, Acyrthosiphon pisum, is essential in feeding on a host plant. Proc. Natl. Acad. Sci. U. S. A. 2008;105:9965\u20139. https:\/\/doi.org\/10.1073\/pnas.0708958105.","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"8712_CR34","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1094\/MPMI-05-13-0156-R","volume":"27","author":"PA Rodriguez","year":"2014","unstructured":"Rodriguez PA, Stam R, Warbroek T, Bos JI. Mp10 and Mp42 from the aphid species Myzus persicae trigger plant defenses in Nicotiana benthamiana through different activities. MPMI. 2014;27:30\u20139. https:\/\/doi.org\/10.1094\/MPMI-05-13-0156-R.","journal-title":"MPMI"},{"key":"8712_CR35","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1094\/MPMI-01-14-0018-R","volume":"27","author":"DA Elzinga","year":"2014","unstructured":"Elzinga DA, De Vos M, Jander G. Suppression of plant defenses by a Myzus persicae (green peach aphid) salivary effector protein. MPMI. 2014;27:747\u201356. https:\/\/doi.org\/10.1094\/MPMI-01-14-0018-R.","journal-title":"MPMI"},{"key":"8712_CR36","doi-asserted-by":"publisher","first-page":"1898","DOI":"10.1016\/j.cub.2015.05.047","volume":"25","author":"E Naessens","year":"2015","unstructured":"Naessens E, Dubreuil G, Giordanengo P, Baron OL, Minet-Kebdani N, Keller H, et al. A secreted MIF cytokine enables aphid feeding and represses plant immune responses. Curr. Biol. 2015;25:1898\u2013903. https:\/\/doi.org\/10.1016\/j.cub.2015.05.047.","journal-title":"Curr. Biol."},{"key":"8712_CR37","doi-asserted-by":"publisher","first-page":"2032","DOI":"10.1096\/fj.14-266023","volume":"29","author":"W Wang","year":"2015","unstructured":"Wang W, Dai H, Zhang Y, Chandrasekar R, Luo L, Hiromasa Y, et al. Armet is an effector protein mediating aphid-plant interactions. FASEB J. 2015a;29:2032\u201345. https:\/\/doi.org\/10.1096\/fj.14-266023.","journal-title":"FASEB J"},{"key":"8712_CR38","doi-asserted-by":"publisher","first-page":"2796","DOI":"10.1093\/jxb\/eraa043","volume":"71","author":"C Escudero-Martinez","year":"2020","unstructured":"Escudero-Martinez C, Rodriguez PA, Liu S, Santos PA, Stephens J, Bos JI. An aphid effector promotes barley susceptibility through suppression of defence gene expression. J. Exp. Bot. 2020;71:2796\u2013807. https:\/\/doi.org\/10.1093\/jxb\/eraa043.","journal-title":"J. Exp. Bot."},{"key":"8712_CR39","doi-asserted-by":"publisher","first-page":"8919","DOI":"10.1073\/pnas.1407687111","volume":"111","author":"R Chaudhary","year":"2014","unstructured":"Chaudhary R, Atamian HS, Shen Z, Briggs SP, Kaloshian I. GroEL from the endosymbiont Buchnera aphidicola betrays the aphid by triggering plant defense. Proc. Natl. Acad. Sci. U. S. A. 2014;111:8919\u201324. https:\/\/doi.org\/10.1073\/pnas.1407687111.","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"8712_CR40","doi-asserted-by":"publisher","first-page":"1142","DOI":"10.3389\/fpls.2016.01142","volume":"7","author":"GJ Kettles","year":"2016","unstructured":"Kettles GJ, Kaloshian I. The potato aphid salivary effector Me47 is a glutathione-S-transferase involved in modifying plant responses to aphid infestation. Front. Plant Sci. 2016;7:1142. https:\/\/doi.org\/10.3389\/fpls.2016.01142.","journal-title":"Front. Plant Sci."},{"key":"8712_CR41","doi-asserted-by":"publisher","first-page":"990","DOI":"10.1603\/0022-0493(2007)100[990:feorwa]2.0.co;2","volume":"100","author":"NL Lapitan","year":"2007","unstructured":"Lapitan NL, Li YC, Peng J, Botha AM. Fractionated extracts of Russian wheat aphid eliciting defense responses in wheat. J. Econ. Entomol. 2007;100:990\u20139. https:\/\/doi.org\/10.1603\/0022-0493(2007)100[990:feorwa]2.0.co;2.","journal-title":"J. Econ. Entomol."},{"key":"8712_CR42","volume-title":"Elucidation of possible virulence factors present in Russian wheat aphid (Diuraphis noxia) biotypes\u2019 saliva","author":"RA van Zyl","year":"2007","unstructured":"van Zyl RA. Elucidation of possible virulence factors present in Russian wheat aphid (Diuraphis noxia) biotypes\u2019 saliva. MSc thesis. South Africa: University of Pretoria; 2007."},{"key":"8712_CR43","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1080\/02571862.2015.1053154","volume":"32","author":"L Mohase","year":"2015","unstructured":"Mohase L, Taiwe B. Saliva fractions from South African Russian wheat aphid biotypes induce differential defence responses in wheat. S Afr J Plant Soil. 2015;32:235\u201340. https:\/\/doi.org\/10.1080\/02571862.2015.1053154.","journal-title":"S Afr J Plant Soil"},{"key":"8712_CR44","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1603\/EN09079","volume":"39","author":"WR Cooper","year":"2010","unstructured":"Cooper WR, Dillwith JW, Puterka GJ. Salivary proteins of Russian wheat aphid (Hemiptera: Aphididae). Environ. Entomol. 2010;39:223\u201331. https:\/\/doi.org\/10.1603\/EN09079.","journal-title":"Environ. Entomol."},{"key":"8712_CR45","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1111\/j.1744-7917.2011.01487.x","volume":"19","author":"F Cui","year":"2012","unstructured":"Cui F, Smith CM, Reese J, Edwards O, Reeck G. Polymorphisms in salivary-gland transcripts of Russian wheat aphid biotypes 1 and 2. Insect Sci. 2012;19:429\u201340. https:\/\/doi.org\/10.1111\/j.1744-7917.2011.01487.x.","journal-title":"Insect Sci."},{"key":"8712_CR46","doi-asserted-by":"publisher","first-page":"336","DOI":"10.3389\/fpls.2013.00336","volume":"4","author":"T Will","year":"2013","unstructured":"Will T, Furch AC, Zimmermann MR. How phloem-feeding insects face the challenge of phloem-located defenses. Front. Plant Sci. 2013;4:336. https:\/\/doi.org\/10.3389\/fpls.2013.00336.","journal-title":"Front. Plant Sci."},{"key":"8712_CR47","doi-asserted-by":"publisher","first-page":"672","DOI":"10.1603\/EN13331","volume":"43","author":"AM Botha","year":"2014","unstructured":"Botha AM, Burger NFV, Van Eck L. Hypervirulent Diuraphis noxia (Hemiptera: Aphididae) biotype SAM avoids triggering defenses in its host (Triticum aestivum)(Poales: Poaceae) during feeding. Environ. Entomol. 2014;43:672\u201381. https:\/\/doi.org\/10.1603\/EN13331.","journal-title":"Environ. Entomol."},{"key":"8712_CR48","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1603\/ec11289","volume":"105","author":"L Gong","year":"2012","unstructured":"Gong L, Cui F, Sheng C, Lin Z, Reeck G, Xu J, et al. Polymorphism and methylation of four genes expressed in salivary glands of Russian Wheat Aphid (Homoptera: Aphididae). J. Econ. Entomol. 2012;105:232\u201341. https:\/\/doi.org\/10.1603\/ec11289.","journal-title":"J. Econ. Entomol."},{"key":"8712_CR49","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s11829-014-9293-4","volume":"8","author":"R Anathakrishnan","year":"2014","unstructured":"Anathakrishnan R, Sinha DK, Murugan M, Zhu KY, Chen MS, Zhu YC, et al. Comparative gut transcriptome analysis reveals differences between virulent and avirulent Russian wheat aphids. Diuraphis noxia. Arthropod Plant Interact. 2014;8:79\u201388. https:\/\/doi.org\/10.1007\/s11829-014-9293-4.","journal-title":"Diuraphis noxia. Arthropod Plant Interact."},{"key":"8712_CR50","doi-asserted-by":"publisher","unstructured":"Yang C, Pan H, Liu Y, Zhou X. Selection of reference genes for expression analysis using quantitative real-time PCR in the pea aphid, Acyrthosiphon pisum (Harris) (Hemiptera, Aphidiae). Plos One. 2014;9(11). https:\/\/doi.org\/10.1371\/journal.pone.0110454.","DOI":"10.1371\/journal.pone.0110454"},{"key":"8712_CR51","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1111\/tpj.13152","volume":"86","author":"CA Villarroel","year":"2016","unstructured":"Villarroel CA, Jonckheere W, Alba JM, Glas JJ, Dermauw W, Haring MA, et al. Salivary proteins of spider mites suppress defenses in Nicotiana benthamiana and promote mite reproduction. Plant J. 2016;86:119\u201331. https:\/\/doi.org\/10.1111\/tpj.13152.","journal-title":"Plant J."},{"key":"8712_CR52","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-020-62856-5","volume":"10","author":"I de Souza Pacheco","year":"2020","unstructured":"de Souza Pacheco I, Galdeano DM, Maluta NKP, Lopes JRS, Machado MA. Gene silencing of Diaphorina citri candidate effectors promotes changes in feeding behaviors. Sci. Rep. 2020;10:1\u201314. https:\/\/doi.org\/10.1038\/s41598-020-62856-5.","journal-title":"Sci. Rep."},{"key":"8712_CR53","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1111\/nph.13794","volume":"210","author":"J Sperschneider","year":"2016","unstructured":"Sperschneider J, Gardiner DM, Dodds PN, Tini F, Covarelli L, Singh KB, et al. EFFECTORP: predicting fungal effector proteins from secretomes using machine learning. New Phytol. 2016;210:743\u201361. https:\/\/doi.org\/10.1111\/nph.13794.","journal-title":"New Phytol."},{"key":"8712_CR54","doi-asserted-by":"publisher","first-page":"8885","DOI":"10.1038\/srep08885","volume":"5","author":"W Wang","year":"2015","unstructured":"Wang W, Luo L, Lu H, Chen S, Kang L, Cui F. Angiotensin-converting enzymes modulate aphid\u2013plant interactions. Sci. Rep. 2015b;5:8885. https:\/\/doi.org\/10.1038\/srep08885.","journal-title":"Sci. Rep."},{"key":"8712_CR55","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1186\/s12866-015-0519-0","volume":"15","author":"SSC de Oliveira","year":"2015","unstructured":"de Oliveira SSC, Garcia-Gomes ADS, d\u2019Avila-Levy CM, dos Santos ALS, Branquinha MH. Expression of calpain-like proteins and effects of calpain inhibitors on the growth rate of Angomonas deanei wild type and aposymbiotic strains. BMC Microbiol. 2015;15:188. https:\/\/doi.org\/10.1186\/s12866-015-0519-0.","journal-title":"BMC Microbiol."},{"key":"8712_CR56","doi-asserted-by":"publisher","first-page":"1058","DOI":"10.1021\/acs.jafc.1c07046","volume":"70","author":"Q Li","year":"2022","unstructured":"Li Q, Fu Y, Liu X, Sun J, Hou M, Zhang Y, et al. Activation of wheat defense response by Buchnera aphidicola derived small chaperone protein GroES in wheat aphid saliva. J. Agric. Food Chem. 2022;70:1058\u201367. https:\/\/doi.org\/10.1021\/acs.jafc.1c07046.","journal-title":"J. Agric. Food Chem."},{"key":"8712_CR57","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1073\/pnas.1714990116","volume":"116","author":"HX Xu","year":"2019","unstructured":"Xu HX, Qian LX, Wang XW, Shao RX, Hong Y, Liu SS, et al. A salivary effector enables whitefly to feed on host plants by eliciting salicylic acid-signaling pathway. Proc. Natl. Acad. Sci. U. S. A. 2019;116:490\u20135. https:\/\/doi.org\/10.1073\/pnas.1714990116.","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"8712_CR58","doi-asserted-by":"publisher","first-page":"19","DOI":"10.3390\/pathogens9010019","volume":"9","author":"M Kretschmer","year":"2020","unstructured":"Kretschmer M, Damoo D, Djamei A, Kronstad J. Chloroplasts and plant immunity: Where are the fungal effectors? Pathogens. 2020;9:19. https:\/\/doi.org\/10.3390\/pathogens9010019.","journal-title":"Pathogens"},{"key":"8712_CR59","doi-asserted-by":"publisher","first-page":"3900","DOI":"10.3390\/ijms19123900","volume":"19","author":"Y Lu","year":"2018","unstructured":"Lu Y, Yao J. Chloroplasts at the crossroad of photosynthesis, pathogen infection and plant defense. Int. J. Mol. Sci. 2018;19:3900. https:\/\/doi.org\/10.3390\/ijms19123900.","journal-title":"Int. J. Mol. Sci."},{"key":"8712_CR60","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1111\/mpp.12533","volume":"19","author":"D Bhattacharyya","year":"2018","unstructured":"Bhattacharyya D, Chakraborty S. Chloroplast: the Trojan horse in plant\u2013virus interaction. Mol. Plant Pathol. 2018;19:504\u201318. https:\/\/doi.org\/10.1111\/mpp.12533.","journal-title":"Mol. Plant Pathol."},{"key":"8712_CR61","doi-asserted-by":"publisher","first-page":"1505","DOI":"10.1021\/pr100881q","volume":"10","author":"JC Carolan","year":"2011","unstructured":"Carolan JC, Caragea D, Reardon KT, Mutti NS, Dittmer N, Pappan K, et al. Predicted effector molecules in the salivary secretome of the pea aphid (Acyrthosiphon pisum): a dual transcriptomic\/proteomic approach. J. Proteome Res. 2011;10:1505\u201318. https:\/\/doi.org\/10.1021\/pr100881q.","journal-title":"J. Proteome Res."},{"key":"8712_CR62","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1111\/eea.12687","volume":"166","author":"SMB Loudit","year":"2018","unstructured":"Loudit SMB, Bauwens J, Francis F. Cowpea aphid\u2013plant interactions: endosymbionts and related salivary protein patterns. Entomol. Exp. Appl. 2018;166:460\u201373. https:\/\/doi.org\/10.1111\/eea.12687.","journal-title":"Entomol. Exp. Appl."},{"key":"8712_CR63","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1094\/PBIOMES-06-18-0027-R","volume":"2","author":"E Luna","year":"2018","unstructured":"Luna E, van Eck L, Campillo T, Weinroth M, Metcalf J, Perez-Quintero AL, et al. Bacteria associated with Russian wheat aphid (Diuraphis noxia) enhance aphid virulence to wheat. Phytobiomes J. 2018;2:151\u201364. https:\/\/doi.org\/10.1094\/PBIOMES-06-18-0027-R.","journal-title":"Phytobiomes J."},{"key":"8712_CR64","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1016\/j.dci.2005.09.003","volume":"30","author":"G Ma","year":"2006","unstructured":"Ma G, Hay D, Li D, Asgari S, Schmidt O. Recognition and inactivation of LPS by lipophorin particles. Dev. Comp. Immunol. 2006;30:619\u201326. https:\/\/doi.org\/10.1016\/j.dci.2005.09.003.","journal-title":"Dev. Comp. Immunol."},{"key":"8712_CR65","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0145660","volume":"10","author":"C Kanobe","year":"2015","unstructured":"Kanobe C, McCarville MT, O\u2019Neal ME, Tylka GL, MacIntosh GC. Soybean aphid infestation induces changes in fatty acid metabolism in soybean. PLoS One. 2015;10:e0145660. https:\/\/doi.org\/10.1371\/journal.pone.0145660.","journal-title":"PLoS One"},{"key":"8712_CR66","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1016\/j.pbi.2013.06.011","volume":"16","author":"JW Walley","year":"2013","unstructured":"Walley JW, Kliebenstein DJ, Bostock RM, Dehesh K. Fatty acids and early detection of pathogens. Curr. Opin. Plant Biol. 2013;16:520\u20136. https:\/\/doi.org\/10.1016\/j.pbi.2013.06.011.","journal-title":"Curr. Opin. Plant Biol."},{"issue":"16","key":"8712_CR67","doi-asserted-by":"publisher","first-page":"10841","DOI":"10.1074\/jbc.M808357200","volume":"284","author":"Y Kong","year":"2009","unstructured":"Kong Y, Jing G, Yan Z, Li C, Gong N, Zhu F, et al. Cloning and characterization of Prisilkin-39, a novel matrix protein serving a dual role in the prismatic layer formation from the oyster Pinctada fucata. J. Biol. Chem. 2009;284(16):10841\u201354. https:\/\/doi.org\/10.1074\/jbc.M808357200.","journal-title":"J. Biol. Chem."},{"issue":"10","key":"8712_CR68","doi-asserted-by":"publisher","first-page":"831","DOI":"10.4161\/psb.3.10.5916","volume":"3","author":"J Wan","year":"2008","unstructured":"Wan J, Zhang XC, Stacey G. Chitin signaling and plant disease resistance. Plant Signal Behav. 2008;3(10):831\u20133. https:\/\/doi.org\/10.4161\/psb.3.10.5916.","journal-title":"Plant Signal Behav."},{"key":"8712_CR69","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/s11829-013-9262-3","volume":"7","author":"AM Botha","year":"2013","unstructured":"Botha AM. A coevolutionary conundrum: the arms race between Diuraphis noxia (Kurdjumov) a specialist pest and its host Triticum aestivum (L.). Arthropod Plant Interact. 2013;7:359\u201372. https:\/\/doi.org\/10.1007\/s11829-013-9262-3.","journal-title":"Arthropod Plant Interact."},{"key":"8712_CR70","doi-asserted-by":"publisher","first-page":"1494","DOI":"10.1038\/nprot.2013.084","volume":"8","author":"BJ Haas","year":"2013","unstructured":"Haas BJ, Papanicolaou A, Yassour M, Grabherr M, Blood PD, Bowden J, et al. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. Nat. Protoc. 2013;8:1494\u2013512. https:\/\/doi.org\/10.1038\/nprot.2013.084.","journal-title":"Nat. Protoc."},{"key":"8712_CR71","doi-asserted-by":"publisher","unstructured":"Hoff, K.J. and Stanke, M. (2019). Predicting genes in single genomes with AUGUSTUS. Curr. Protoc Bioinformatics 65, e57. https:\/\/doi.org\/10.1002\/cpbi.57","DOI":"10.1002\/cpbi.57"},{"key":"8712_CR72","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1038\/s41587-019-0036-z","volume":"37","author":"JJA Armenteros","year":"2019","unstructured":"Armenteros JJA, Tsirigos KD, S\u00f8nderby CK, Petersen TN, Winther O, Brunak S, et al. SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat. Biotechnol. 2019;37:420\u20133. https:\/\/doi.org\/10.1038\/s41587-019-0036-z.","journal-title":"Nat. Biotechnol."},{"key":"8712_CR73","doi-asserted-by":"publisher","first-page":"1690","DOI":"10.1093\/bioinformatics\/btx818","volume":"34","author":"C Savojardo","year":"2018","unstructured":"Savojardo C, Martelli PL, Fariselli P, Casadio R. DeepSig: deep learning improves signal peptide detection in proteins. Bioinformatics. 2018;34:1690\u20136. https:\/\/doi.org\/10.1093\/bioinformatics\/btx818.","journal-title":"Bioinformatics"},{"key":"8712_CR74","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1006\/jmbi.2000.4315","volume":"305","author":"A Krogh","year":"2001","unstructured":"Krogh A, Larsson B, Von Heijne G, Sonnhammer EL. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J. Mol. Biol. 2001;305:567\u201380. https:\/\/doi.org\/10.1006\/jmbi.2000.4315.","journal-title":"J. Mol. Biol."},{"key":"8712_CR75","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1186\/1471-2105-9-392","volume":"9","author":"A Pierleoni","year":"2008","unstructured":"Pierleoni A, Martelli PL, Casadio R. PredGPI: a GPI-anchor predictor. BMC Bioinform. 2008;9:392. https:\/\/doi.org\/10.1186\/1471-2105-9-392.","journal-title":"BMC Bioinform."},{"key":"8712_CR76","doi-asserted-by":"publisher","first-page":"3387","DOI":"10.1093\/bioinformatics\/btx431","volume":"33","author":"JJA Armenteros","year":"2017","unstructured":"Armenteros JJA, S\u00f8nderby CK, S\u00f8nderby SK, Nielsen H, Winther O. DeepLoc: prediction of protein subcellular localization using deep learning. Bioinformatics. 2017;33:3387\u201395. https:\/\/doi.org\/10.1093\/bioinformatics\/btx431.","journal-title":"Bioinformatics."},{"key":"8712_CR77","doi-asserted-by":"publisher","unstructured":"Sperschneider J, Dodds PN. EffectorP 3.0: prediction of apoplastic and cytoplasmic effectors in fungi and oomycetes. Mol Plant Microbe Interact. 2021. https:\/\/doi.org\/10.1094\/MPMI-08-21-0201-R.","DOI":"10.1094\/MPMI-08-21-0201-R"},{"key":"8712_CR78","unstructured":"Andrews S. FastQC: a quality control tool for high throughput sequence data. Babraham. 2010; Bioinformatics."},{"key":"8712_CR79","doi-asserted-by":"publisher","first-page":"2114","DOI":"10.1093\/bioinformatics\/btu170","volume":"30","author":"AM Bolger","year":"2014","unstructured":"Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114\u201320. https:\/\/doi.org\/10.1093\/bioinformatics\/btu170.","journal-title":"Bioinformatics."},{"key":"8712_CR80","doi-asserted-by":"publisher","unstructured":"Legeai, F., Shigenobu, S., Gauthier, J.P., Colbourne, J., Rispe, C., Collin, O., et al. (2010). AphidBase: a centralized bioinformatic resource for annotation of the pea aphid genome. Insect Mol. Biol. 19, 5-12. https:\/\/doi.org\/10.1111\/j.1365-2583.2009.00930.x","DOI":"10.1111\/j.1365-2583.2009.00930.x"},{"key":"8712_CR81","doi-asserted-by":"publisher","first-page":"1650","DOI":"10.1038\/nprot.2016.095","volume":"11","author":"M Pertea","year":"2016","unstructured":"Pertea M, Kim D, Pertea GM, Leek JT, Salzberg SL. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nat. Protoc. 2016;11:1650. https:\/\/doi.org\/10.1038\/nprot.2016.095.","journal-title":"Nat. Protoc"},{"key":"8712_CR82","doi-asserted-by":"publisher","first-page":"2078","DOI":"10.1093\/bioinformatics\/btp352","volume":"25","author":"H Li","year":"2009","unstructured":"Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The sequence alignment\/map format and SAMtools. Bioinformatics. 2009;25:2078\u20139. https:\/\/doi.org\/10.1093\/bioinformatics\/btp352.","journal-title":"Bioinformatics"},{"issue":"1","key":"8712_CR83","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1093\/bioinformatics\/btp616","volume":"26","author":"MD Robinson","year":"2010","unstructured":"Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139\u201340. https:\/\/doi.org\/10.1093\/bioinformatics\/btp616.","journal-title":"Bioinformatics."},{"issue":"2","key":"8712_CR84","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1093\/jee\/tow313","volume":"110","author":"NFV Burger","year":"2017","unstructured":"Burger NFV, Venter E, Botha A-M. Profiling Diuraphis noxia (Hemiptera: Aphididae) transcript expression of the biotypes SA1 and SAM feeding on various Triticum aestivum varieties. J. Econ. Entomol. 2017;110(2):692\u2013701. https:\/\/doi.org\/10.1093\/jee\/tow313.","journal-title":"J. Econ. Entomol."},{"issue":"15","key":"8712_CR85","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gks596","volume":"40","author":"A Untergasser","year":"2012","unstructured":"Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, et al. Primer3\u2014new capabilities and interfaces. Nucleic Acids Res. 2012;40(15):e115. https:\/\/doi.org\/10.1093\/nar\/gks596.","journal-title":"Nucleic Acids Res."},{"key":"8712_CR86","doi-asserted-by":"publisher","first-page":"452","DOI":"10.3389\/fgene.2020.00452","volume":"11","author":"PH Du Preez","year":"2020","unstructured":"Du Preez PH, Breeds K, Burger NFV, Swiegers HW, Truter JC, Botha AM. DNA Methylation and demethylation are regulated by functional DNA methyltransferases and DnTET enzymes in Diuraphis noxia. Front. Genet. 2020;11:452. https:\/\/doi.org\/10.3389\/fgene.2020.00452.","journal-title":"Front. Genet."},{"key":"8712_CR87","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1038\/srep05059","volume":"4","author":"DK Sinha","year":"2014","unstructured":"Sinha DK, Smith CM. Selection of reference genes for expression analysis in Diuraphis noxia (Hemiptera: Aphididae) fed on resistant and susceptible wheat plants. Sci Rep. 2014;4:10. https:\/\/doi.org\/10.1038\/srep05059.","journal-title":"Sci Rep."},{"key":"8712_CR88","doi-asserted-by":"publisher","first-page":"29(9):e45","DOI":"10.1093\/nar\/29.9.e45","volume":"1","author":"MW Pfaffl","year":"2001","unstructured":"Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;1:29(9):e45. https:\/\/doi.org\/10.1093\/nar\/29.9.e45.","journal-title":"Nucleic Acids Res."}],"container-title":["BMC Genomics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12864-022-08712-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12864-022-08712-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12864-022-08712-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T22:04:01Z","timestamp":1657231441000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcgenomics.biomedcentral.com\/articles\/10.1186\/s12864-022-08712-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,7]]},"references-count":88,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["8712"],"URL":"https:\/\/doi.org\/10.1186\/s12864-022-08712-4","relation":{},"ISSN":["1471-2164"],"issn-type":[{"value":"1471-2164","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,7]]},"assertion":[{"value":"5 January 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 July 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"493"}}