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High-resolution mapping of QTL for fatty acid composition in soybean using specific-locus amplified fragment sequencing
Key message We constructed a high-density linkage map comprising 3541 markers developed by specific-locus amplified fragment sequencing, and identified 26 stable QTL including nine novel loci, for fatty acid composition in soybean. Soybean oil quality and stability are mainly determined by the fatty...
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Published in: | Theoretical and applied genetics 2017-07, Vol.130 (7), p.1467-1479 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Key message
We constructed a high-density linkage map comprising 3541 markers developed by specific-locus amplified fragment sequencing, and identified 26 stable QTL including nine novel loci, for fatty acid composition in soybean.
Soybean oil quality and stability are mainly determined by the fatty acid composition of the seed. In the present study, we constructed a high-density genetic linkage map using 200 recombinant inbred lines derived from a cross between cultivated soybean varieties Luheidou2 and Nanhuizao, and SNP markers developed by specific-locus amplified fragment sequencing (SLAF-seq). This map comprises 3541 markers on 20 linkage groups and spans a genetic distance of 2534.42 cM, with an average distance of 0.72 cM between adjacent markers. Inclusive composite interval mapping revealed 26 stable QTL for five fatty acids, explaining 0.4–37.0% of the phenotypic variance for individual fatty acids across environments. Of these QTL, nine are novel loci (
qLA1
,
qLNA2_1
,
qPA4_1
,
qLA4_1
,
qPA6_1
,
qSA12_1
,
qPA16_1
,
qOA18_1
, and
qFA19_1
). These stable QTL harbor three fatty acid biosynthesis genes (
GmFabG
,
GmACP
, and
GmFAD8
), and 66 genes encoding lipid-related transcription factors. These stable QTL and tightly linked SNP markers can be used for marker-assisted selection in soybean breeding programs. |
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ISSN: | 0040-5752 1432-2242 |
DOI: | 10.1007/s00122-017-2902-8 |