QTL analysis and candidate gene prediction for seed density per silique by QTL-seq and RNA-seq in spring Brassica napus L.

被引:1
|
作者
Xing, Xiaorong [1 ,2 ,3 ,4 ]
Liu, Haidong [1 ,2 ,3 ,4 ]
Ye, Jingxiu [1 ,2 ,3 ,4 ]
Yao, Yanmei [1 ,2 ,3 ,4 ]
Li, Kaixiang [1 ,2 ,3 ,4 ]
Li, Yanling [1 ,2 ,3 ,4 ]
Du, Dezhi [1 ,2 ,3 ,4 ]
机构
[1] Qinghai Univ, Acad Agr & Forestry Sci, Xining, Qinghai, Peoples R China
[2] Lab Res & Utilizat Qinghai Tibet Plateau Germplasm, Key, Chengdu, Peoples R China
[3] Lab Spring Rapeseed Genet Improvement Qinghai Prov, Natl Key, Xining, Peoples R China
[4] Lab Breeding Base Innovat & Utilizat Plateau Crop, Xining, Peoples R China
来源
PLOS ONE | 2023年 / 18卷 / 03期
关键词
QUANTITATIVE TRAIT LOCI; YIELD-RELATED TRAITS; NUMBER; LENGTH; POD;
D O I
10.1371/journal.pone.0281875
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Seed density per silique (SD) is an important agricultural trait and plays an important role in the yield performance of Brassica napus L. (B. napus). In this study, a genetic linkage map was constructed using a double haploid (DH) population with 213 lines derived from a cross between a low SD line No. 935 and a high SD line No. 3641, and a total of 1,098,259 SNP (single-nucleotide polymorphisms) markers and 2,102 bins were mapped to 19 linkage groups. Twenty-eight QTLs for SD were detected on chromosomes A02, A04, A05, A09, C02, C03, C06, and C09 of B. napus, of which eight QTLs were on chromosome A09 and explained 5.89%-13.24% of the phenotypic variation. Furthermore, a consistent QTL for SD on chromosome A09, cqSD-A9a, was identified in four environments by QTL meta-analysis, explaining 10.68% of the phenotypic variation. In addition, four pairs of epistatic interactions were detected in the DH population via QTL epistasis analysis, indicating that SD is controlled not only by additive effects but also by epistatic effects that play an important role in spring B. napus., but with little environmental effect. Moreover, 18 closely linked SSR markers for cqSD-A9a were developed, as a result, it was mapped to a 1.86Mb (7.80-9.66 Mb) region on chromosome A09. A total of 13 differentially expressed genes (DEGs) were screened in the candidate interval by RNA-seq analysis, which were differentially expressed in buds, leaves and siliques both between and siliques both between two parents and two pools of extremely high-SD and low-SD lines in the DH population. Three of 13 DEGs were possible candidate genes that might control SD: BnaA09g14070D, which encodes a callose synthase that plays an important role in development and stress responses; BnaA09g14800D, a plant synaptic protein that encodes a membrane component; and BnaA09g18250D, which is responsible for DNA binding, transcriptional regulation, and sequence-specific DNA binding and is involved in the response to growth hormone stimulation. Overall, these results lay a foundation for fine mapping and gene cloning for SD in B. napus.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Integrating GWAS, QTL, mapping and RNA-seq to identify candidate genes for seed vigor in rice (Oryza sativa L.)
    Guo, Tao
    Yang, Jing
    Li, Dongxiu
    Sun, Kai
    Luo, Lixin
    Xiao, Wuming
    Wang, Jiafeng
    Liu, Yongzhu
    Wang, Shuai
    Wang, Hui
    Chen, Zhiqiang
    MOLECULAR BREEDING, 2019, 39 (06)
  • [32] Integrating GWAS, QTL, mapping and RNA-seq to identify candidate genes for seed vigor in rice (Oryza sativa L.)
    Tao Guo
    Jing Yang
    Dongxiu Li
    Kai Sun
    Lixin Luo
    Wuming Xiao
    Jiafeng Wang
    Yongzhu Liu
    Shuai Wang
    Hui Wang
    Zhiqiang Chen
    Molecular Breeding, 2019, 39
  • [33] Identification of a major QTL for silique length and seed weight in oilseed rape (Brassica napus L.)
    Yang, Pu
    Shu, Chang
    Chen, Lin
    Xu, Jinsong
    Wu, Jiangsheng
    Liu, Kede
    THEORETICAL AND APPLIED GENETICS, 2012, 125 (02) : 285 - 296
  • [34] QTL and Candidate Gene Identification for Silique Length Based on High-Dense Genetic Map in Brassica napus L.
    Wang, Hui
    Zaman, Qamar U.
    Huang, Wenhui
    Mei, Desheng
    Liu, Jia
    Wang, Wenxiang
    Ding, Bingli
    Hao, Mengyu
    Fu, Li
    Cheng, Hongtao
    Hu, Qiong
    FRONTIERS IN PLANT SCIENCE, 2019, 10
  • [35] Integrated BSA-seq and RNA-seq analysis to identify candidate genes associated with nitrogen utilization efficiency (NUtE) in rapeseed (Brassica napus L.)
    Nan, Yunyou
    Xie, Yuyu
    He, Huiying
    Wu, Han
    Gao, Lixing
    Atif, Ayub
    Zhang, Yanfeng
    Tian, Hui
    Hui, Jing
    Gao, Yajun
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2024, 254
  • [36] Identification of a major QTL region and candidate genes responsible for harvest date combining QTL mapping and QTL-seq approaches in walnut ( Juglans regia L.)
    Kazan, Murat
    Karci, Harun
    Karaarslan, Defne
    Sutyemez, Mehmet
    Kafkas, Salih
    SCIENTIA HORTICULTURAE, 2024, 337
  • [37] Confirmation of QTL controlling seed yield in spring canola (Brassica napus L.) hybrids
    Quijada P.A.
    Maureira I.J.
    Osborn T.C.
    Molecular Breeding, 2004, 13 (02) : 193 - 200
  • [38] Candidate gene discovery of Botrytis cinerea resistance in grapevine based on QTL mapping and RNA-seq
    Su, Kai
    Zhao, Wei
    Lin, Hong
    Jiang, Changyue
    Zhao, Yuhui
    Guo, Yinshan
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [39] Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development
    Xueqian Jiang
    Xijiang Yang
    Fan Zhang
    Tianhui Yang
    Changfu Yang
    Fei He
    Ting Gao
    Chuan Wang
    Qingchuan Yang
    Zhen Wang
    Junmei Kang
    BMC Plant Biology, 22
  • [40] Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development
    Jiang, Xueqian
    Yang, Xijiang
    Zhang, Fan
    Yang, Tianhui
    Yang, Changfu
    He, Fei
    Gao, Ting
    Wang, Chuan
    Yang, Qingchuan
    Wang, Zhen
    Kang, Junmei
    BMC PLANT BIOLOGY, 2022, 22 (01)