Genetic variation underlying differential ammonium and nitrate responses in Arabidopsis thaliana
Genetic variation underlying differential ammonium and nitrate responses in Arabidopsis thaliana
复制标题
拟南芥中不同铵和硝酸盐反应的遗传变异
DOI：
10.1093/plcell/koac279
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发表时间：
2022-10-04
期刊：
影响因子：
11.6
通讯作者：
Kliebenstein, Daniel J.
中科院分区：
文献类型：
--
作者：
Katz, Ella;Knapp, Anna;Kliebenstein, Daniel J.
氮是植物生长和生产力所必需的重要元素。了解植物氮素利用的机制和自然遗传变异将有助于植物氮素利用的工程设计，以最大限度地提高作物生产力，同时最大限度地减少环境成本。为了了解可能影响氮利用的自然变异的范围，我们在两种氮源（硝酸盐和铵）上生长了1，135个拟南芥天然基因型，并测量了发育和防御代谢物性状。通过使用不同的环境和关注多个性状，我们确定了各种不同的氮反应。这些反应与许多基因有关，其中大多数以前与氮反应无关。这些基因中只有一小部分似乎是环境或性状之间共享的，而大多数主要是特定于特定氮源下的发育或防御性状。最后，通过使用一个大的人口，我们能够确定独特的氮反应，如更喜欢铵或硝酸盐，这似乎是由基因座的组合，而不是一些大的影响基因座产生。这表明，它可能会获得新的表型在复杂的氮反应，通过操纵组的基因与小的影响，而不是只专注于大的影响单基因操作。
Nitrogen is an essential element required for plant growth and productivity. Understanding the mechanisms and natural genetic variation underlying nitrogen use in plants will facilitate the engineering of plant nitrogen use to maximize crop productivity while minimizing environmental costs. To understand the scope of natural variation that may influence nitrogen use, we grew 1,135 Arabidopsis thaliana natural genotypes on two nitrogen sources, nitrate and ammonium, and measured both developmental and defense metabolite traits. By using different environments and focusing on multiple traits, we identified a wide array of different nitrogen responses. These responses are associated with numerous genes, most of which were not previously associated with nitrogen responses. Only a small portion of these genes appear to be shared between environments or traits, while most are predominantly specific to a developmental or defense trait under a specific nitrogen source. Finally, by using a large population, we were able to identify unique nitrogen responses, such as preferring ammonium or nitrate, which appear to be generated by combinations of loci rather than a few large-effect loci. This suggests that it may be possible to obtain novel phenotypes in complex nitrogen responses by manipulating sets of genes with small effects rather than solely focusing on large-effect single gene manipulations.