期刊
G3-GENES GENOMES GENETICS
卷 8, 期 12, 页码 3961-3972出版社
GENETICS SOCIETY AMERICA
DOI: 10.1534/g3.118.200760
关键词
Poplar; Wheat; breeding; endophenotypes; Near InfraRed Spectroscopy (NIRS); Genomic Prediction; GenPred; Shared Data Resources
资金
- NOVELTREE project [EU-FP7-211868]
- SYBIOPOP project - French National Research Agency [ANR-13-JSV6-0001]
- French National Research National Agency under Investment for the Future (BreedWheat project) [ANR-10-BTBR-03]
- FranceAgriMer
- French National Research National Agency under the Investment for the Future Phenome project [ANR-11-INBS-12]
- European Regional Development Fund [AV0011535]
Genomic selection - the prediction of breeding values using DNA polymorphisms - is a disruptive method that has widely been adopted by animal and plant breeders to increase productivity. It was recently shown that other sources of molecular variations such as those resulting from transcripts or metabolites could be used to accurately predict complex traits. These endophenotypes have the advantage of capturing the expressed genotypes and consequently the complex regulatory networks that occur in the different layers between the genome and the phenotype. However, obtaining such omics data at very large scales, such as those typically experienced in breeding, remains challenging. As an alternative, we proposed using near-infrared spectroscopy (NIRS) as a high-throughput, low cost and non-destructive tool to indirectly capture endophenotypic variants and compute relationship matrices for predicting complex traits, and coined this new approach phenomic selection (PS). We tested PS on two species of economic interest (Triticum aestivum L. and Populus nigra L.) using NIRS on various tissues (grains, leaves, wood). We showed that one could reach predictions as accurate as with molecular markers, for developmental, tolerance and productivity traits, even in environments radically different from the one in which NIRS were collected. Our work constitutes a proof of concept and provides new perspectives for the breeding community, as PS is theoretically applicable to any organism at low cost and does not require any molecular information.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据