Bluesky Facebook Reddit Email

Multiple-model GWAS identifies optimal allelic combinations of quantitative trait loci for malic acid in tomato

04.24.23 | Nanjing Agricultural University The Academy of Science

SAMSUNG T9 Portable SSD 2TB

SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.


The objective of this study is to identify these loci and decipher the polygenic architecture of malic acid content in tomato fruit. The authors carried out a GWAS using six milestone models with two-environment repeats. A series of associated SNP variations were identified from GWAS, and 15 high-confidence annotated genes were obtained based on the lead SNPs and the malic acid accumulation. The optimal allelic combination of the 15 loci was presented for tastier tomato. The genetic parameters of population-differentiation were employed to identify potential selective sweep signals on malic acid during domestication and improvement.

The authors identified natural variations underlying malic acid in tomato with multiple-model GWAS. This study will provide new genetic insights into how tomato malic acid content evolved during breeding and optional QTL combinations for higher malice acid in tomato. The case in malic acid may provide the tools for designing breeding toward tastier tomato.

###

Reference

Authors

Wenxian Gai a,b ; Fan Yang c ; Liangdan Yuan a ; Saeed ul Haq c,d ; Yaru Wang a ; Ying Wang a ; Lele Shang a ; Fangman Li a ; Pingfei Ge a ; Haiqiang Dong a ; Jinbao Tao a ; Fei Wang a ; Xingyu Zhang a ; Yuyang Zhang a,b,*

Affiliations

a National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan 430070, China

b Hubei Hongshan Laboratory, Wuhan 430070, China

c College of Horticulture, Northwest A&F University, Yangling 712100, China

d Department of Horticulture, The University of Agriculture Peshawar, Peshawar 25130, Pakistan

About Professor Yuyang Zhang

Professor Yuyang Zhang from Huazhong Agricultural University has been focusing on tomato genetics and molecular breeding. He has also been a Principle Investigator in Hubei Hongshan Laboratory, Wuhan China. He and his colleagues utilized genetic and molecular tools to decipher the genetic basis of agronomically important traits in tomato, and design molecular makers for MAS breeding. Currently his laboratory is interested in the tomato genome design breeding as well as the evolutionary adaptation of tomato.

Horticulture Research

10.1093/hr/uhad021

Experimental study

Not applicable

Multiple-model GWAS identifies optimal allelic combinations of quantitative trait loci for malic acid in tomato

1-Apr-2023

The authors declare that they have no competing financial interests.

Keywords

Article Information

Contact Information

Ping Wang
Nanjing Agricultural University The Academy of Science
hortres@njau.edu.cn

Source

How to Cite This Article

APA:
Nanjing Agricultural University The Academy of Science. (2023, April 24). Multiple-model GWAS identifies optimal allelic combinations of quantitative trait loci for malic acid in tomato. Brightsurf News. https://www.brightsurf.com/news/LQ423QK8/multiple-model-gwas-identifies-optimal-allelic-combinations-of-quantitative-trait-loci-for-malic-acid-in-tomato.html
MLA:
"Multiple-model GWAS identifies optimal allelic combinations of quantitative trait loci for malic acid in tomato." Brightsurf News, Apr. 24 2023, https://www.brightsurf.com/news/LQ423QK8/multiple-model-gwas-identifies-optimal-allelic-combinations-of-quantitative-trait-loci-for-malic-acid-in-tomato.html.