Combining genome-wide association study and linkage mapping in the genetic dissection of amylose content in maize (Zea mays L.)

被引:1
作者
Dai, Wei [1 ]
Li, Qinglin [1 ]
Liu, Tao [1 ]
Long, Ping [1 ]
He, Yao [1 ]
Sang, Mengxiang [1 ]
Zou, Chaoying [1 ]
Chen, Zhong [1 ]
Yuan, Guangsheng [1 ]
Ma, Langlang [1 ]
Pan, Guangtang [1 ]
Shen, Yaou [1 ]
机构
[1] Sichuan Agr Univ, Maize Res Inst, State Key Lab Crop Gene Explorat & Utilizat Southw, Chengdu 611130, Peoples R China
关键词
MARKER-ASSISTED SELECTION; QUANTITATIVE TRAIT LOCI; ARCHITECTURE; STARCH; IDENTIFICATION; WAXY; BIOSYNTHESIS; POPULATION;
D O I
10.1007/s00122-024-04666-1
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Maize kernel amylose is an important source of human food and industrial raw material. However, the genetic basis underlying maize amylose content is still obscure. Herein, we used an intermated B73 x Mo17 (IBM) Syn10 doubled haploid population composed of 222 lines and a germplasm set including 305 inbred lines to uncover the genetic control for amylose content under four environments. Linkage mapping detected 16 unique QTL, among which four were individually repeatedly identified across multiple environments. Genome-wide association study revealed 17 significant (P = 2.24E-06) single-nucleotide polymorphisms, of which two (SYN19568 and PZE-105090500) were located in the intervals of the mapped QTL (qAC2 and qAC5-3), respectively. According to the two population co-localized loci, 20 genes were confirmed as the candidate genes for amylose content. Gene-based association analysis indicated that the variants in Zm00001d003102 (Beta-16-galactosyltransferase GALT29A) and Zm00001d015905 (Sugar transporter 4a) affected amylose content across multi-environment. Tissue expression analysis showed that the two genes were specifically highly expressed in the ear and stem, respectively, suggesting that they might participate in sugar transport from source to sink organs. Our study provides valuable genetic information for breeding maize varieties with high amylose. Key messageIntegrated linkage and association analysis revealed genetic basis across multiple environments. The genes Zm00001d003102 and Zm00001d015905 were further verified to influence amylose content using gene-based association study.Maize kernel amylose is an important source of human food and industrial raw material. However, the genetic basis underlying maize amylose content is still obscure. Herein, we used an intermated B73 x Mo17 (IBM) Syn10 doubled haploid population composed of 222 lines and a germplasm set including 305 inbred lines to uncover the genetic control for amylose content under four environments. Linkage mapping detected 16 unique QTL, among which four were individually repeatedly identified across multiple environments. Genome-wide association study revealed 17 significant (P = 2.24E-06) single-nucleotide polymorphisms, of which two (SYN19568 and PZE-105090500) were located in the intervals of the mapped QTL (qAC2 and qAC5-3), respectively. According to the two population co-localized loci, 20 genes were confirmed as the candidate genes for amylose content. Gene-based association analysis indicated that the variants in Zm00001d003102 (Beta-16-galactosyltransferase GALT29A) and Zm00001d015905 (Sugar transporter 4a) affected amylose content across multi-environment. Tissue expression analysis showed that the two genes were specifically highly expressed in the ear and stem, respectively, suggesting that they might participate in sugar transport from source to sink organs. Our study provides valuable genetic information for breeding maize varieties with high amylose.
引用
收藏
页数:15
相关论文
共 87 条
[1]   Adenine phosphoribosyltransferase isoforms of Arabidopsis and their potential contributions to adenine and cytokinin metabolism [J].
Allen, M ;
Qin, WS ;
Moreau, F ;
Moffatt, B .
PHYSIOLOGIA PLANTARUM, 2002, 115 (01) :56-68
[2]  
Babu R, 2004, CURR SCI INDIA, V87, P607
[3]   Fitting Linear Mixed-Effects Models Using lme4 [J].
Bates, Douglas ;
Maechler, Martin ;
Bolker, Benjamin M. ;
Walker, Steven C. .
JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01) :1-48
[4]   Transcription factor ZmWRKY20 interacts with ZmWRKY115 to repress expression of ZmbZIP111 for salt tolerance in maize [J].
Bo, Chen ;
Cai, Ronghao ;
Fang, Xiu ;
Wu, Hao ;
Ma, Zhongxian ;
Yuan, Haotian ;
Cheng, Beijiu ;
Fan, Jun ;
Ma, Qing .
PLANT JOURNAL, 2022, 111 (06) :1660-1675
[5]   TASSEL: software for association mapping of complex traits in diverse samples [J].
Bradbury, Peter J. ;
Zhang, Zhiwu ;
Kroon, Dallas E. ;
Casstevens, Terry M. ;
Ramdoss, Yogesh ;
Buckler, Edward S. .
BIOINFORMATICS, 2007, 23 (19) :2633-2635
[6]   Development of Functional Molecular Markers of SbeI and SbeIIb for the High Amylose Maize Germplasm Line GEMS-0067 [J].
Chen, Tingting ;
Ning, Lihua ;
Liu, Xu ;
Cui, Dezhou ;
Zhang, Hua ;
Li, Detao ;
Zhao, Li ;
Chen, Huabang .
CROP SCIENCE, 2013, 53 (02) :482-490
[7]   Effects of Endogenous Cytokinin on Physicochemical Properties of Superior and Inferior Grain Starch in Rice [J].
Chen, Yinglong ;
Fang, Wenchun ;
Chen, Siming ;
Zhang, Yong ;
Ansah, Ebenezer Ottopah ;
An, Gynheung ;
Xiong, Fei ;
Wu, Yunfei .
STARCH-STARKE, 2023, 75 (1-2)
[8]  
CHURCHILL GA, 1994, GENETICS, V138, P963
[9]   Marker-assisted selection: an approach for precision plant breeding in the twenty-first century [J].
Collard, Bertrand C. Y. ;
Mackill, David J. .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2008, 363 (1491) :557-572
[10]   Combined linkage mapping and association analysis uncovers candidate genes for 25 leaf-related traits across three environments in maize [J].
Dai, Wei ;
Yu, Hong ;
Liu, Kai ;
Chengxu, Yujuan ;
Yan, Jiaquan ;
Zhang, Chen ;
Xi, Na ;
Liu, Hao ;
Xiangchen, Chaoyang ;
Zou, Chaoying ;
Zhang, Minyan ;
Gao, Shibin ;
Pan, Guangtang ;
Ma, Langlang ;
Shen, Yaou .
THEORETICAL AND APPLIED GENETICS, 2023, 136 (01) :1-14