AI Article Synopsis

  • - Yellow lupin (Lupinus luteus) is a grain legume with high tolerance to soil acidity and good seed quality but struggles with low yields, particularly in drought-prone areas; genomic research is lacking in this area.
  • - A study created the first genetic linkage map for yellow lupin using genotyping-by-sequencing and Diversity Array Technology, identifying several quantitative trait loci (QTLs) that impact biomass and seed weight under different water conditions.
  • - The findings suggest that understanding these QTLs can enhance breeding strategies for yellow lupin, making it a more viable crop for sustainable farming practices.

Article Abstract

Background: Yellow lupin (Lupinus luteus L.) is a promising grain legume for productive and sustainable crop rotations. It has the advantages of high tolerance to soil acidity and excellent seed quality, but its current yield potential is poor, especially in low rainfall environments. Key adaptation traits such as phenology and enhanced stress tolerance are often complex and controlled by several genes. Genomic-enabled technologies may help to improve our basic understanding of these traits and to provide selective markers in breeding. However, in yellow lupin there are very limited genomic resources to support research and no published information is available on the genetic control of adaptation traits.

Results: We aimed to address these deficiencies by developing the first linkage map for yellow lupin and conducting quantitative trait locus (QTL) analysis of yield under well-watered (WW) and water-deficit (WT) conditions. Two next-generation sequencing marker approaches - genotyping-by-sequencing (GBS) and Diversity Array Technology (DArT) sequencing - were employed to genotype a recombinant inbred line (RIL) population developed from a bi-parental cross between wild and domesticated parents. A total of 2,458 filtered single nucleotide polymorphism (SNP) and presence / absence variation (PAV) markers were used to develop a genetic map comprising 40 linkage groups, the first reported for this species. A number of significant QTLs controlling total biomass and 100-seed weight under two water (WW and WD) regimes were found on linkage groups YL-03, YL-09 and YL-26 that together explained 9 and 28% of total phenotypic variability. QTLs associated with length of the reproductive phase and time to flower were found on YL-01, YL-21, YL-35 and YL-40 that together explained a total of 12 and 44% of total phenotypic variation.

Conclusion: These genomic resources and the QTL information offer significant potential for use in marker-assisted selection in yellow lupin.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694670PMC
http://dx.doi.org/10.1186/s12863-019-0767-3DOI Listing

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