Genetic Dissection of Tobacco (Nicotiana tabacum L.) Plant Height Using Single-Locus and Multi-Locus Genome-Wide Association Studies

被引:5
|
作者
Ikram, Muhammad [1 ]
Lai, Ruiqiang [1 ]
Xia, Yanshi [1 ]
Li, Ronghua [1 ]
Zhao, Weicai [2 ]
Siddique, Kadambot H. M. [3 ]
Chen, Jianjun [4 ]
Guo, Peiguo [1 ]
机构
[1] Guangzhou Univ, Int Crop Res Ctr Stress Resistance, Sch Life Sci, Guangdong Prov Key Lab Plant Adaptat & Mol Design, Guangzhou 510006, Peoples R China
[2] Guangdong Res Inst Tobacco Sci, Shaoguan 512029, Peoples R China
[3] Univ Western Australia, UWA Sch Agr & Environm, UWA Inst Agr, Perth, WA 6001, Australia
[4] South China Agr Univ, Coll Agr, Guangzhou 510642, Peoples R China
来源
AGRONOMY-BASEL | 2022年 / 12卷 / 05期
关键词
plant height; single-locus GWAS; multi-locus GWAS; quantitative trait nucleotides; elite alleles; candidate genes; crosses; SEED-GERMINATION; OSMOTIC-STRESS; RICE; IDENTIFICATION; TOLERANCE; PROTEIN; TRAITS; GROWTH; QTL; POLYMORPHISMS;
D O I
10.3390/agronomy12051047
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Tobacco (Nicotiana tabacum L.) plant height (PH) is a biologically important plant architecture trait linked to yield and controlled by polygenes. However, limited information is available on quantitative trait nucleotides (QTNs), alleles, and candidate genes. The plant height of 94 tobacco accessions and their 126,602 SNPs were measured to conduct a genome-wide association study (GWAS) using four multi-locus (ML) and two single-locus (SL) models to better understand its genetic basis. The ML and SL models detected 181 and 29 QTNs, respectively, across four environments/BLUP; LOD scores ranged from 3.01-13.45, and the phenotypic variance explained (PVE) ranged from 0.69-25.37%. Fifty-two novel, stable QTNs were detected across at least two methods and/or two environments/BLUP, with 0.64-24.76% PVE. Among these, 49 QTNs exhibited significant phenotypic differences between two alleles; the distribution of elite and alternative alleles for each accession ranged from 3-42 and 6-46, respectively, in the mapping population. Seven cross combinations in two directions were predicted using alleles of validated QTNs, including Qinggeng x KY14 for taller plants and RG112 x VA115 for shorter plants. We identified 27 candidate genes in the vicinity of 49 stable QTNs based on comparative genomics, gene ontology (GO), and KEGG enrichment analysis, including AP2, Nitab4.5_0000343g0250.1 (ROC1), Nitab4.5_0000197g0010.1 (VFB1), CDF3, AXR6, KUP8, and NPY2. This is the first study to use genotyping-by-sequencing (GBS) of SNPs to determine QTNs, potential candidate genes, and alleles associated with plant height. These findings could provide a new avenue for investigating the QTNs in tobacco by combining SL and ML association mapping and solid foundations for functional genomics, the genetic basis, and molecular breeding for PH in tobacco.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Multi-locus Test and Correction for Confounding Effects in Genome-Wide Association Studies
    Chen, Donglai
    Liu, Chuanhai
    Xie, Jun
    INTERNATIONAL JOURNAL OF BIOSTATISTICS, 2016, 12 (02):
  • [22] A fast algorithm for Bayesian multi-locus model in genome-wide association studies
    Weiwei Duan
    Yang Zhao
    Yongyue Wei
    Sheng Yang
    Jianling Bai
    Sipeng Shen
    Mulong Du
    Lihong Huang
    Zhibin Hu
    Feng Chen
    Molecular Genetics and Genomics, 2017, 292 : 923 - 934
  • [23] Multi-locus genome-wide association studies reveal the dynamic genetic architecture of flowering time in chrysanthemum
    Jiangshuo Su
    Junwei Zeng
    Siyue Wang
    Xuefeng Zhang
    Limin Zhao
    Shiyun Wen
    Fei Zhang
    Jiafu Jiang
    Fadi Chen
    Plant Cell Reports, 2024, 43
  • [24] Multi-locus genome-wide association studies reveal the dynamic genetic architecture of flowering time in chrysanthemum
    Su, Jiangshuo
    Zeng, Junwei
    Wang, Siyue
    Zhang, Xuefeng
    Zhao, Limin
    Wen, Shiyun
    Zhang, Fei
    Jiang, Jiafu
    Chen, Fadi
    PLANT CELL REPORTS, 2024, 43 (04)
  • [25] Multi-Locus Genome-Wide Association Studies Reveal Fruit Quality Hotspots in Peach Genome
    Linge, Cassia da Silva
    Cai, Lichun
    Fu, Wanfang
    Clark, John
    Worthington, Margaret
    Rawandoozi, Zena
    Byrne, David H.
    Gasic, Ksenija
    FRONTIERS IN PLANT SCIENCE, 2021, 12
  • [26] Fast and efficient correction for population stratification in multi-locus genome-wide association studies
    Liu, Rui
    Yuan, Min
    Xu, Xu Steven
    Yang, Yaning
    GENETICA, 2021, 149 (5-6) : 313 - 325
  • [27] Fast and efficient correction for population stratification in multi-locus genome-wide association studies
    Rui Liu
    Min Yuan
    Xu Steven Xu
    Yaning Yang
    Genetica, 2021, 149 : 313 - 325
  • [28] Multi-Locus Genome-Wide Association Studies for 14 Main Agronomic Traits in Barley
    Hu, Xin
    Zuo, Jianfang
    Wang, Jibin
    Liu, Lipan
    Sun, Genlou
    Li, Chengdao
    Ren, Xifeng
    Sun, Dongfa
    FRONTIERS IN PLANT SCIENCE, 2018, 9
  • [29] Methodological implementation of mixed linear models in multi-locus genome-wide association studies
    Wen, Yang-Jun
    Zhang, Hanwen
    Ni, Yuan-Li
    Huang, Bo
    Zhang, Jin
    Feng, Jian-Ying
    Wang, Shi-Bo
    Dunwell, Jim M.
    Zhang, Yuan-Ming
    Wu, Rongling
    BRIEFINGS IN BIOINFORMATICS, 2018, 19 (04) : 700 - 712
  • [30] Multi-locus genome-wide association studies for five yield-related traits in rice
    Zhong, Hua
    Liu, Shuai
    Sun, Tong
    Kong, Weilong
    Deng, Xiaoxiao
    Peng, Zhaohua
    Li, Yangsheng
    BMC PLANT BIOLOGY, 2021, 21 (01)