GWAS identifies genetic loci underlying nitrogen responsiveness in the climate resilient C(4) model Setaria italica (L.).
GWAS identifies genetic loci underlying nitrogen responsiveness in the climate resilient C(4) model Setaria italica (L.).
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DOI：
10.1016/j.jare.2022.01.010
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发表时间：
2022-12
影响因子：
10.7
通讯作者：
Prasad, Manoj
中科院分区：
文献类型：
--
作者：
Bandyopadhyay, Tirthankar;Swarbreck, Stephanie M.;Jaiswal, Vandana;Maurya, Jyoti;Gupta, Rajeev;Bentley, Alison R.;Griffiths, Howard;Prasad, Manoj
评价作物对氮（N）的响应性具有许多商业/环境优势。目前缺乏关于其生理遗传基础的知识是一个主要的瓶颈。我们表明，N依赖的产量增加是由籽粒数（GN）在S. italica。GN具有强大的遗传基础-22个独特的SNPs; 6个在自然群体中表现出单倍型。在此基础上，我们定义了不同穗型的N响应和非响应加入。位于单倍型SNP之间的基因在两种基因型中显示出不同的转录水平。氮反应性是感知和诱导对外部和内部氮（N）的形态生理适应的能力。作物生产力是由氮肥推动的，需要培育/选择具有内在高N响应性的品种。这一特性具有许多优点，在商业/环境方面更有意义，有利于季节N管理，并且在调节NUE的过程中与N可用性不呈负相关。目前缺乏了解的生理遗传基础是一个障碍，选择品种具有可预测的高N响应。对谷子（Setaria italica（L.）采用对比氮肥营养制度。我们对S.在低生长条件（N10、N25）和最佳生长条件（N100）下，对italica种质的主要产量相关性状进行分析，并对其进行基因分型，随后进行全基因组关联研究，以鉴定与氮响应性状相关的遗传位点。进一步评估了显示出对比性状表现和特定连锁遗传基因座（显示单倍型）的等位基因形式的品系组，以获取其近端基因的N依赖性转录丰度。研究表明，S. italica是由粒数驱动的，粒数对N可用性的响应在遗传上是突出的。我们确定了22个独特的SNP位点与这一性状密切相关，其中6个表现出单倍型和一致的等位基因变异线之间的对比N依赖的谷物数量的反应和穗架构。此外，在相同品系中与这些SNP近端连锁的特定基因的差异转录丰度指示它们以基因型特异性方式的N依赖性。该研究证明了N响应性作为选择性状的价值/潜力，并确定了S.意大利语。这对提高作物氮素可持续性和粮食安全具有重要意义。
Evaluating nitrogen(N) responsiveness in crops has many commercial/environmental advantages. Current lack of knowledge on its physio-genetic basis is a major bottleneck. We demonstrated that N dependent yield increase is driven by grain number (GN) in S.italica. GN has strong genetic basis –22 unique SNPs; six exhibiting haplotypes in natural population. Based on this, we define N responsive and non-responsive accessions with distinct panicle types. Few genes lying between SNPs with haplotypes show distinct transcript levels in two genotypes. N responsiveness is the capacity to perceive and induce morpho-physiological adaptation to external and internal Nitrogen (N). Crop productivity is propelled by N fertilizer and requires the breeding/selection of cultivars with intrinsically high N responsiveness. This trait has many advantages in being more meaningful in commercial/environmental context, facilitating in-season N management and not being inversely correlated with N availability over processes regulating NUE. Current lack of its understanding at the physio-genetic basis is an impediment to select for cultivars with a predictably high N response. To dissect physio-genetic basis of N responsiveness in 142 diverse population of foxtail millet, Setaria italica (L.) by employing contrasting N fertilizer nutrition regimes. We phenotyped S. italica accessions for major yield related traits under low (N10, N25) and optimal (N100) growth conditions and genotyped them to subsequently perform a genome-wide association study to identify genetic loci associated with nitrogen responsiveness trait. Groups of accessions showing contrasting trait performance and allelic forms of specific linked genetic loci (showing haplotypes) were further accessed for N dependent transcript abundances of their proximal genes. Our study show that N dependent yield rise in S. italica is driven by grain number whose responsiveness to N availability is genetically underlined. We identify 22 unique SNP loci strongly associated with this trait out of which six exhibit haplotypes and consistent allelic variation between lines with contrasting N dependent grain number response and panicle architectures. Furthermore, differential transcript abundances of specific genes proximally linked to these SNPs in same lines is indicative of their N dependence in a genotype specific manner. The study demonstrates the value/ potential of N responsiveness as a selection trait and identifies key genetic components underlying the trait in S. italica. This has major implications for improving crop N sustainability and food security.
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影响因子：
3.8
作者：
Jaiswanl, Vandana;Bandyopadhyay, Tirthankar;Prasad, Manoj
通讯作者：
Prasad, Manoj
影响因子：
5.8
作者：
Bradbury, Peter J.;Zhang, Zhiwu;Buckler, Edward S.
通讯作者：
Buckler, Edward S.
影响因子：
2.3
作者：
Chen, Keru;Camberato, James J.;Vyn, Tony J.
通讯作者：
Vyn, Tony J.
影响因子：
5.3
作者：
Gyawali, Abiskar;Shrestha, Vivek;Beissinger, Timothy M.
通讯作者：
Beissinger, Timothy M.
影响因子：
6.2
作者：
Gupta, Sarika;Kumari, Kajal;Prasad, Manoj
通讯作者：
Prasad, Manoj