Alcock Thomas D, Havlickova Lenka, He Zhesi, Wilson Lolita, Bancroft Ian, White Philip J, Broadley Martin R, Graham Neil S
Plant and Crop Sciences Division, University of Nottingham, Sutton Bonington Campus, Loughborough, United Kingdom.
Department of Biology, University of York, York, United Kingdom.
Front Plant Sci. 2018 Oct 16;9:1487. doi: 10.3389/fpls.2018.01487. eCollection 2018.
Large nitrogen, phosphorus and potassium fertilizer inputs are used in many crop systems. Identifying genetic loci controlling nutrient accumulation may be useful in crop breeding strategies to increase fertilizer use efficiency and reduce financial and environmental costs. Here, variation in leaf nitrate concentration across a diversity population of 383 genotypes of was characterized. Genetic loci controlling variation in leaf nitrate, phosphorus and potassium concentration were then identified through Associative Transcriptomics using single nucleotide polymorphism (SNP) markers and gene expression markers (GEMs). Leaf nitrate concentration varied over 8-fold across the diversity population. A total of 455 SNP markers were associated with leaf nitrate concentration after false-discovery-rate (FDR) correction. In linkage disequilibrium of highly associated markers are a number of known nitrate transporters and sensors, including a gene thought to mediate expression of the major nitrate transporter NRT1.1. Several genes influencing root and root-hair development co-localize with chromosomal regions associated with leaf P concentration. Orthologs of three ABC-transporters involved in suberin synthesis in roots also co-localize with association peaks for both leaf nitrate and phosphorus. Allelic variation at nearby, highly associated SNPs confers large variation in leaf nitrate and phosphorus concentration. A total of five GEMs associated with leaf K concentration after FDR correction including a GEM that corresponds to an auxin-response family protein. Candidate loci, genes and favorable alleles identified here may prove useful in marker-assisted selection strategies to improve fertilizer use efficiency in .
许多作物种植系统中都投入了大量的氮、磷、钾肥。确定控制养分积累的基因位点可能有助于作物育种策略，以提高肥料利用效率，降低经济和环境成本。在此，对383个基因型的多样化群体中叶片硝酸盐浓度的变异进行了表征。然后通过关联转录组学，利用单核苷酸多态性（SNP）标记和基因表达标记（GEM）确定控制叶片硝酸盐、磷和钾浓度变异的基因位点。在整个多样化群体中，叶片硝酸盐浓度的变化超过8倍。经过错误发现率（FDR）校正后，共有455个SNP标记与叶片硝酸盐浓度相关。在高度相关标记的连锁不平衡中，有许多已知的硝酸盐转运体和传感器，包括一个被认为介导主要硝酸盐转运体NRT1.1表达的基因。几个影响根和根毛发育的基因与与叶片磷浓度相关的染色体区域共定位。参与根中木栓质合成的三个ABC转运体的直系同源物也与叶片硝酸盐和磷的关联峰共定位。附近高度相关SNP的等位基因变异导致叶片硝酸盐和磷浓度的巨大差异。经过FDR校正后，共有五个GEM与叶片钾浓度相关，包括一个与生长素反应家族蛋白对应的GEM。这里确定的候选基因位点、基因和有利等位基因可能在标记辅助选择策略中证明是有用的，以提高[作物名称未给出]的肥料利用效率。
