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ARS Home » Plains Area » College Station, Texas » Southern Plains Agricultural Research Center » Crop Germplasm Research » Research » Publications at this Location » Publication #363835
Research Project: Cotton Genetic Resource Management and Genetic Improvement

Location: Crop Germplasm Research

Title: The first genetic map for yellow lupin enables genetic dissection of adaptation traits in an orphan grain legume crop

Author
item MUNIR IQBAL, MUHAMMAD - University Of Western Australia
item HUYNH, MARK - Brigham Young University
item Udall, Joshua - Josh
item KILIAN, ANDRZEJ - University Of Canberra
item ADHIKARI, KEDAR - University Of Sydney
item BERGER, JENS - Commonwealth Scientific And Industrial Research Organisation (CSIRO)
item ERSKINE, WILLIAM - University Of Western Australia
item NELSON, MATTHEW - Commonwealth Scientific And Industrial Research Organisation (CSIRO)

Submitted to: BioMed Central (BMC) Genetics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 7/17/2019
Publication Date: 8/14/2019
Citation: Munir Iqbal, M., Huynh, M., Udall, J.A., Kilian, A., Adhikari, K.N., Berger, J.D., Erskine, W., Nelson, M.N. 2019. The first genetic map for yellow lupin enables genetic dissection of adaptation traits in an orphan grain legume crop. BioMed Central (BMC) Genetics. 20:68. https://doi.org/10.1186/s12863-019-0767-3.
DOI: https://doi.org/10.1186/s12863-019-0767-3

Interpretive Summary: This work creates a genetic map of yellow lupin, a promising grain legume that is currently being domesticated by scientists in Chile. This technical report uses innovative molecular methods in Lupin that will be applied to cotton. The processes used in this report will be used to genotype and map a population of cotton plants. These efforts will enhance breeding efficiency in cotton.

Technical Abstract: 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 enabling 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. 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 wellwatered and water-deficit conditions. Two next-generation sequencing marker approaches - genotyping-by-sequencing (GBS) and DArT-seq - 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 (well-watered and water-deficit) 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. These genomic resources and the QTL information offer significant potential for use in marker-assisted selection in yellow lupin.