{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:25:31Z","timestamp":1787027131951,"version":"build-2736575974"},"reference-count":72,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T00:00:00Z","timestamp":1689292800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Plant Sci."],"abstract":"<jats:p>\n                    Nitrogen is essential for crop production. It is a critical macronutrient for plant growth and development. However, excessive application of nitrogen fertilizer is not only a waste of resources but also pollutes the environment. An effective approach to solving this problem is to breed rice varieties with high nitrogen use efficiency (NUE). In this study, we performed a genome-wide association study (GWAS) on 419 rice landraces using 208,993 single nucleotide polymorphisms (SNPs). With the mixed linear model (MLM) in the Tassel software, we identified 834 SNPs associated with root surface area (RSA), root length (RL), root branch number (RBN), root number (RN), plant dry weight (PDW), plant height (PH), root volume (RL), plant fresh weight (PFW), root fractal dimension (RFD), number of root nodes (NRN), and average root diameter (ARD), with a significant level of\n                    <jats:italic>p<\/jats:italic>\n                    &amp;lt; 2.39\u00d710\n                    <jats:sup>\u20137<\/jats:sup>\n                    . In addition, we found 49 SNPs that were correlated with RL, RBN, RN, PDW, PH, PFW, RFD, and NRN using genome-wide efficient mixed-model association (GEMMA), with a significant level of\n                    <jats:italic>p<\/jats:italic>\n                    &amp;lt; 1\u00d710\n                    <jats:sup>\u20136<\/jats:sup>\n                    . Additionally, the final results for eight traits associated with 193 significant SNPs by using multi-locus random-SNP-effect mixed linear model (mrMLM) model and 272 significant SNPs associated with 11 traits by using IIIVmrMLM. Within the linkage intervals of significantly associated SNP, we identified eight known related genes to NUE in rice, namely,\n                    <jats:italic>OsAMT2;3, OsGS1, OsNR2, OsNPF7.4, OsPTR9, OsNRT1.1B, OsNRT2.3<\/jats:italic>\n                    , and\n                    <jats:italic>OsNRT2.2<\/jats:italic>\n                    . According to the linkage disequilibrium (LD) decay value of this population, there were 75 candidate genes within the 150-kb regions upstream and downstream of the most significantly associated SNP (Chr5_29804690, Chr5_29956584, and Chr10_17540654). These candidate genes included 22 transposon genes, 25 expressed genes, and 28 putative functional genes. The expression levels of these candidate genes were measured by real-time quantitative PCR (RT-qPCR), and the expression levels of\n                    <jats:italic>LOC_Os05g51700<\/jats:italic>\n                    and\n                    <jats:italic>LOC_Os05g51710<\/jats:italic>\n                    in C347 were significantly lower than that in C117; the expression levels of\n                    <jats:italic>LOC_Os05g51740<\/jats:italic>\n                    ,\n                    <jats:italic>LOC_Os05g51780<\/jats:italic>\n                    ,\n                    <jats:italic>LOC_Os05g51960<\/jats:italic>\n                    ,\n                    <jats:italic>LOC_Os05g51970<\/jats:italic>\n                    , and\n                    <jats:italic>LOC_Os10g33210<\/jats:italic>\n                    were significantly higher in C347 than C117. Among them,\n                    <jats:italic>LOC_Os10g33210<\/jats:italic>\n                    encodes a peptide transporter, and\n                    <jats:italic>LOC_Os05g51690<\/jats:italic>\n                    encodes a CCT domain protein and responds to NUE in rice. This study identified new loci related to NUE in rice, providing new genetic resources for the molecular breeding of rice landraces with high NUE.\n                  <\/jats:p>","DOI":"10.3389\/fpls.2023.1126254","type":"journal-article","created":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T20:29:06Z","timestamp":1689366546000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Genome-wide association study using specific-locus amplified fragment sequencing identifies new genes influencing nitrogen use efficiency in rice landraces"],"prefix":"10.3389","volume":"14","author":[{"given":"Zuyu","family":"Liao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuzhong","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongqiong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoxuan","family":"Nong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Can","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Faqian","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongfu","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danting","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinghai","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2023,7,14]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1016\/j.tplants.2004.10.008","article-title":"Can less yield more? is reducing nutrient input into the environment compatible with maintaining crop production","volume":"9","author":"Allen","year":"2004","journal-title":"Trends Plant Sci."},{"key":"B2","first-page":"537","article-title":"Qtl analysis for rice seedlings under nitrogen deficiency using chromosomal segment substitution lines","volume":"5","author":"Anis","year":"2018","journal-title":"Pakistan J. 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