Tracing the evolutionary path to nitrogen-fixing crops.
Tracing the evolutionary path to nitrogen-fixing crops.
复制标题
追踪固氮作物的进化路径。
DOI：
10.1016/j.pbi.2015.06.003
复制
发表时间：
2015
影响因子：
9.5
通讯作者：
Delaux PM
中科院分区：
文献类型：
--
作者：
Delaux PM
固氮共生体在陆地植物中经历了多次进化。形态学和基因组学的创新与这些事件有关。系统基因组学和系统发育学方法是识别这些创新和指导工程策略的有力工具。植物和细菌之间的固氮共生体仅限于少数植物谱系。工厂合作伙伴通过获得大气氮库而从这些协会中受益。相比之下，其他植物物种，包括所有谷物，只依赖于土壤中存在的稀缺氮和它们可以从联合细菌中收集的氮。传统农业的全球谷物产量依赖于大量施用化肥。将固氮共生体引入谷类作物，可以部分减轻过度使用化肥造成的经济和生态影响，并在全球范围内提高作物产量。比较植物遗传学和植物基因组学是鉴定关键植物性状背后的遗传和基因组创新的有力工具。在这篇综述中，我们强调了最近的发现，使用这种方法，我们讨论了这些方法可以用来帮助指导工程固氮共生到谷物。
HighlightsNitrogen-fixing symbioses evolved several times in land plants.Morphological and genomic innovations are linked to these events.Phylogenomic and phylogenetic approaches are powerful tools to identify these innovations and direct engineering strategies.Nitrogen-fixing symbioses between plants and bacteria are restricted to a few plant lineages. The plant partner benefits from these associations by gaining access to the pool of atmospheric nitrogen. By contrast, other plant species, including all cereals, rely only on the scarce nitrogen present in the soil and what they can glean from associative bacteria. Global cereal yields from conventional agriculture are dependent on the application of massive levels of chemical fertilisers. Engineering nitrogen-fixing symbioses into cereal crops could in part mitigate the economic and ecological impacts caused by the overuse of fertilisers and provide better global parity in crop yields. Comparative phylogenetics and phylogenomics are powerful tools to identify genetic and genomic innovations behind key plant traits. In this review we highlight recent discoveries made using such approaches and we discuss how these approaches could be used to help direct the engineering of nitrogen-fixing symbioses into cereals.
放线菌共生体的转录组学揭示了整个常见共生信号级联的同源物1[W]
影响因子：
7.4
作者：
V. Hocher;N. Alloisio;F. Auguy;P. Fournier;Patrick Doumas;P. Pujić;H. Gherbi;Clothilde Queiroux;C. da Silva;P. Wincker;P. Normand;D. Bogusz
通讯作者：
D. Bogusz
豆科植物基因组模型。
影响因子：
--
作者：
S. Cannon
通讯作者：
S. Cannon
影响因子：
3.7
作者：
Svistoonoff S;Benabdoun FM;Nambiar-Veetil M;Imanishi L;Vaissayre V;Cesari S;Diagne N;Hocher V;de Billy F;Bonneau J;Wall L;Ykhlef N;Rosenberg C;Bogusz D;Franche C;Gherbi H
通讯作者：
Gherbi H