QTL Analysis and Candidate Gene Annotation for Cotton Yield Related Traits

doi:10.7668/hbnxb.20192084

Abstract

Abstract: In order to deeply analyze the molecular genetic mechanism of cotton yield related traits and explore effective molecular markers and genes, a high yield cotton cultivar Jifeng 914 was crossed with a super fiber quality inbred line Jifeng 817. Four traits including boll weight (BW), lint percentage (LP), seed index (SI) and fruiting branch number (FBN) were investigated in F₂ and F₃ populations, and QTL mapping was conducted. The results showed that the four traits of Jifeng 914 were larger than that of Jifeng 817, and normal distribution were observed in the offspring populations. Significant positive correlation was observed between SI and BW, and significant negative correlation existed between SI and LP. A total of 50 QTL were mapped on 22 chromosomes, including 8 QTL for BW, 20 QTL for LP, 15 QTL for SI and 7 QTL for FBN. The largest phenotypic variation explanation rate (PVE) reached 12.96%. Two QTL, qBW-A11-1 and qLP-A6-1 could be repeatedly detected in F₂ and F₃ populations, which were named as stable QTL. In addition, 41 genes were annotated in major effect (PVE ≥ 10%) or stable QTL regions, mainly participating in plant cell wall synthesis or cellulose biosynthesis. Based on the transcriptome information, Ghir_D03G005440.1 enconding Cinnamoyl-CoA reductase 2-like protein expressed higher level in TM-1 than that in Hai 7124. This gene located in the major QTL qSI-D3-1, indicating that it may be involved in the regulation of SI. This study provides more genetic basis for the detection of high cotton yield traits.

Key words: Cotton, Jifeng 914, Yield, QTL mapping, Gene annotation

CLC Number:

Q78
S562.03

JIA Xiaoyun, ZHU Jijie, ZHAO Hongxia, WANG Shijie, LI Miao, WANG Guoyin. QTL Analysis and Candidate Gene Annotation for Cotton Yield Related Traits[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2021, 36(2): 54-61. doi: 10.7668/hbnxb.20192084.

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