Dataset Information

Mapping QTLs for Alternaria blight in Linseed (Linum usitatissimum L.).

ABSTRACT: A SSR-based linkage map of linseed constructed based on 154 individual lines of F ₂ mapping population derived from JRF-4 (disease-resistant) and Chambal (disease susceptible) genotypes. QTLs for Alternaria blight and other yield related traits identified. Out of 1720 SSRs, 216 SSRs were found polymorphic among the parents but due to segregation distortion 18 SSRs could not be used for linkage map construction. Total 191 SSRs were used to construct the linkage map and distributed in 15 linkage groups covering genome length of 1802.4 cM. A total of 10 QTLs were identified for 4 phenotypic traits including 4 QTLs for capsules/plant, 2 for capsule weight/plant, 2 for seed weight/plant and 2 for Alternaria blight resistance. This study laid a foundation for further validation and fine mapping with more advance and large set of marker for different QTL identification and marker-assisted selection in linseed.

SUBMITTER: Singh N

PROVIDER: S-EPMC7826323 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Mapping QTLs for Alternaria blight in Linseed (Linum usitatissimum L.).

Singh Neha N Kumar Rajendra R Kumar Sujit S Singh P K PK Yadav Hemant Kumar HK

3 Biotech 20210123 2

A SSR-based linkage map of linseed constructed based on 154 individual lines of F 2 mapping population derived from JRF-4 (disease-resistant) and Chambal (disease susceptible) genotypes. QTLs for Alternaria blight and other yield related traits identified. Out of 1720 SSRs, 216 SSRs were found polymorphic among the parents but due to segregation distortion 18 SSRs could not be used for linkage map construction. Total 191 SSRs were used to construct the linkage map and di ...[more]

PMID: 33520577

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Project description:BackgroundFlax is valued for its fiber, seed oil and nutraceuticals. Recently, the fiber industry has invested in the development of products made from linseed stems, making it a dual purpose crop. Simultaneous targeting of genomic regions controlling stem fiber and seed quality traits could enable the development of dual purpose cultivars. However, the genetic diversity, population structure and linkage disequilibrium (LD) patterns necessary for association mapping (AM) have not yet been assessed in flax because genomic resources have only recently been developed. We characterized 407 globally distributed flax accessions using 448 microsatellite markers. The data was analyzed to assess the suitability of this core collection for AM. Genomic scans to identify candidate genes selected during the divergent breeding process of fiber flax and linseed were conducted using the whole genome shotgun sequence of flax.ResultsCombined genetic structure analysis assigned all accessions to two major groups with six sub-groups. Population differentiation was weak between the major groups (F(ST)?=?0.094) and for most of the pairwise comparisons among sub-groups. The molecular coancestry analysis indicated weak relatedness (mean?=?0.287) for most individual pairs. Abundant genetic diversity was observed in the total panel (5.32 alleles per locus), and some sub-groups showed a high proportion of private alleles. The average genome-wide LD (r²) was 0.036, with a relatively fast decay of 1.5 cM. Genomic scans between fiber flax and linseed identified candidate genes involved in cell-wall biogenesis/modification, xylem identity and fatty acid biosynthesis congruent with genes previously identified in flax and other plant species.ConclusionsBased on the abundant genetic diversity, weak population structure and relatedness and relatively fast LD decay, we concluded that this core collection is suitable for AM studies targeting multiple agronomic and quality traits aiming at the improvement of flax as a true dual purpose crop. Our genomic scans provide the first insights into candidate regions affected by divergent selection in flax. In combination with AM, genomic scans have the ability to increase the power to detect loci influencing complex traits.

Dataset Information

Mapping QTLs for Alternaria blight in Linseed (Linum usitatissimum L.).

Publications

Mapping QTLs for <i>Alternaria</i> blight in Linseed (<i>Linum usitatissimum</i> L.).

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