A systems genetics approach reveals environment-dependent associations between SNPs, protein coexpression, and drought-related traits in maize.
A systems genetics approach reveals environment-dependent associations between SNPs, protein coexpression, and drought-related traits in maize.
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DOI:
10.1101/gr.255224.119
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发表时间:
2020-11
期刊:
影响因子:
7
通讯作者:
Zivy M
中科院分区:
文献类型:
--
作者:
Blein-Nicolas M;Negro SS;Balliau T;Welcker C;Cabrera-Bosquet L;Nicolas SD;Charcosset A;Zivy M
The effect of drought on maize yield is of particular concern in the context of climate change and human population growth. However, the complexity of drought-response mechanisms makes the design of new drought-tolerant varieties a difficult task that would greatly benefit from a better understanding of the genotype–phenotype relationship. To provide novel insight into this relationship, we applied a systems genetics approach integrating high-throughput phenotypic, proteomic, and genomic data acquired from 254 maize hybrids grown under two watering conditions. Using association genetics and protein coexpression analysis, we detected more than 22,000 pQTLs across the two conditions and confidently identified 15 loci with potential pleiotropic effects on the proteome. We showed that even mild water deficit induced a profound remodeling of the proteome, which affected the structure of the protein coexpression network, and a reprogramming of the genetic control of the abundance of many proteins, including those involved in stress response. Colocalizations between pQTLs and QTLs for ecophysiological traits, found mostly in the water deficit condition, indicated that this reprogramming may also affect the phenotypic level. Finally, we identified several candidate genes that are potentially responsible for both the coexpression of stress response proteins and the variations of ecophysiological traits under water deficit. Taken together, our findings provide novel insights into the molecular mechanisms of drought tolerance and suggest some pathways for further research and breeding.
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影响因子:
7
作者:
Albertin, Warren;Marullo, Philippe;Sicard, Delphine
通讯作者:
Sicard, Delphine
DOI:
10.1126/science.1260793
发表时间:
2015-02-06
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Battle A;Khan Z;Wang SH;Mitrano A;Ford MJ;Pritchard JK;Gilad Y
通讯作者:
Gilad Y
影响因子:
3.4
作者:
Blein-Nicolas, Melisande;Xu, Hao;Zivy, Michel
通讯作者:
Zivy, Michel
影响因子:
4.6
作者:
Forestan C;Aiese Cigliano R;Farinati S;Lunardon A;Sanseverino W;Varotto S
通讯作者:
Varotto S
影响因子:
5.6
作者:
Golldack D;Li C;Mohan H;Probst N
通讯作者:
Probst N