Quantitative Trait Locus (QTLs) Mapping for Quality Traits of Wheat Based on High Density Genetic Map Combined With Bulked Segregant Analysis RNA-seq (BSR-Seq) Indicates That the Basic 7S Globulin Gene Is Related to Falling Number
Numerous quantitative trait loci (QTLs) have been identified for wheat quality; however, most are confined to low-density genetic maps. In this study, based on specific-locus amplified fragment sequencing (SLAF-seq), a high-density genetic map was constructed with 193 recombinant inbred lines derive...
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Veröffentlicht in: | Frontiers in plant science 2020-12, Vol.11, p.600788-600788 |
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Zusammenfassung: | Numerous quantitative trait loci (QTLs) have been identified for wheat quality; however, most are confined to low-density genetic maps. In this study, based on specific-locus amplified fragment sequencing (SLAF-seq), a high-density genetic map was constructed with 193 recombinant inbred lines derived from Chuanmai 42 and Chuanmai 39. In total, 30 QTLs with phenotypic variance explained (PVE) up to 47.99% were identified for falling number (FN), grain protein content (GPC), grain hardness (GH), and starch pasting properties across three environments. Five
genes closely adjacent to
probably have effects on GPC.
was the only one detected for GH with high PVE of 33.31-47.99% across the three environments and was assumed to be related to the nearest
and
genes. Three QTLs were identified for FN in at least two environments, of which
had relatively higher PVE of 16.58-25.74%. The positive effect of
for high FN was verified in a double-haploid population derived from Chuanmai 42
Kechengmai 4. The combination of these QTLs has a considerable effect on increasing FN. The transcript levels of
and
in
were significantly different between low FN and high FN bulks, as observed through bulk segregant RNA-seq (BSR). These QTLs and candidate genes based on the high-density genetic map would be beneficial for further understanding of the genetic mechanism of quality traits and molecular breeding of wheat. |
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ISSN: | 1664-462X 1664-462X |
DOI: | 10.3389/fpls.2020.600788 |