AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.9 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research paper | Open Access

Population structure and association mapping to detect QTL controlling tomato spotted wilt virus resistance in cultivated peanuts

Jing Lia,1, Yueyi Tanga,b,1, Alana L. Jacobsonc, Phat M. Dangd, Xiao Lia, Ming Li Wange, Austin Haganc, Charles Y. Chena( )
Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL 36849, USA
Shandong Peanut Research Institute, Qingdao 266100, China
Department of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849, USA
USDA-ARS National Peanut Research Laboratory, Dawson, GA 39842, USA
USDA-ARS Plant Genetic Resources Conservation Unit, Griffin, GA 30223, USA

1 Authors contributed equally to this work.

Peer review under responsibility of Crop Science Society of China and Institute of Crop Science, CAAS.

Show Author Information

Abstract

Tomato spotted wilt (TSW) is a serious virus disease of peanut in the United States. Breeding for TSWV resistance would be facilitated by the implementation of marker-assisted selection in breeding programs; however, genes associated with resistance have not been identified. Association mapping is a type of genetic mapping that can exploit relationships between markers and traits in many lineages. The objectives of this study were to examine genetic diversity and population structure in the U.S. peanut mini-core collection using simple sequence repeat (SSR) markers, and to conduct association mapping between SSR markers and TSWV resistance in cultivated peanuts. One hundred and thirty-three SSR markers were used for genotyping 104 accessions. Four subpopulations, generally corresponding to botanical varieties, were classified by population structure analysis. Association mapping analysis indicated that five markers: pPGPseq5D5, GM1135, GM1991, TC23C08, and TC24C06, were consistently associated with TSW resistance by the Q, PCA, Q+K, and PCA+K models. These markers together explained 36.4% of the phenotypic variance. Moreover, pPGPseq5D5 and GM1991 were associated with both visual symptoms of TSWV and ELISA values with a high R2. The potential of these markers for use in a marker-assisted selection program to breed peanut for resistance to TSWV is discussed.

References

【1】
【1】
 
 
The Crop Journal
Pages 516-526

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Li J, Tang Y, Jacobson AL, et al. Population structure and association mapping to detect QTL controlling tomato spotted wilt virus resistance in cultivated peanuts. The Crop Journal, 2018, 6(5): 516-526. https://doi.org/10.1016/j.cj.2018.04.001

620

Views

5

Downloads

8

Crossref

N/A

Web of Science

7

Scopus

0

CSCD

Received: 05 February 2018
Revised: 09 April 2018
Accepted: 29 April 2018
Published: 04 June 2018
© 2018 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).