Innovative transcriptome-based genotyping highlights environmentally responsive genes for phenology, growth and yield in a non-model grain legume.

PLANT CELL AND ENVIRONMENT(2020)

引用 9|浏览20
暂无评分
摘要
The narrow-leafed lupin,Lupinus angustifoliusL., is a grain legume crop, cultivated both as a green manure and as a source of protein for animal feed and human food production. During its domestication process, numerous agronomic traits were improved, however, only two trait-related genes were identified hitherto, both by linkage mapping. Genome-wide association studies (GWAS), exploiting genomic sequencing, did not select any novel candidate gene. In the present study, an innovative method of 3 '-end reduced representation transcriptomic profiling, a massive analysis of cDNA ends, has been used for genotyping of 126L. angustifoliuslines surveyed by field phenotyping. Significant genotype x environment interactions were identified for all phenology and yield traits analysed. Principal component analysis of population structure evidenced European domestication bottlenecks, visualized by clustering of breeding materials and cultivars. GWAS provided contribution towards deciphering vernalization pathway in legumes, and, apart from highlighting known domestication loci (Ku/Juliusandmol), designated novel candidate genes forL. angustifoliustraits. Early phenology was associated with genes from vernalization, cold-responsiveness and phosphatidylinositol signalling pathways whereas high yield with genes controlling photosynthesis performance and abiotic stress (drought or heat) tolerance. PCR-based toolbox was developed and validated to enable tracking desired alleles in marker-assisted selection. Narrow-leafed lupin was genotyped with an innovative method of transcriptome profiling and phenotyped for phenology, growth and yield traits in field. Early phenology was found associated with genes from cold-response, vernalization and phosphatidylinositol signalling pathways, whereas high yield with genes running photosystem II and drought or heat stress response. Key loci were supplied with PCR-based toolbox for marker-assisted selection.
更多
查看译文
关键词
flowering,height,maturity,molecular markers
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要