Evaluation of insertion-deletion markers suitable for genetic diversity studies and marker-trait correlation analyses in cultivated peanut (Arachis hypogaea L.)

Meng, S. and Yang, X.L. and Dang, P.M. and Cui, S.L. and etl, . (2016) Evaluation of insertion-deletion markers suitable for genetic diversity studies and marker-trait correlation analyses in cultivated peanut (Arachis hypogaea L.). Genetics and Molecular Research, 15 (3). pp. 1-12.

[img]
Preview
 PDF (This is an Open Access Article) - Published Version
| Preview

Abstract

Peanut is one of the most important oil crops worldwide. We used insertion-deletion (InDel) markers to assess the genetic diversity and population structure in cultivated peanut. Fifty-four accessions from North China were genotyped using 48 InDel markers. The markers amplified 61 polymorphic loci with 1 to 8 alleles and an average of 2.6 alleles per marker. The polymorphism information content values ranged from 0.0364 to 0.9030, with an average of 0.5038.Population structure and neighbor-joining (NJ) tree analyses suggested that all accessions could be divided into four clusters (A1-A4), using the NJ method. Likewise, four subpopulations (G1-G4) were identified using STRUCTURE analysis. A principal component analysis was also used and results concordant with the other analysis methods were found. A multi-linear stepwise regression analysis revealed that 13 InDel markers correlated with five measured agronomical traits. Our results will provide important information for future peanut molecular breeding and genetic research.

Item Type: Article
Uncontrolled Keywords: Peanut; InDel; Genetic diversity; Marker-trait correlation
Author Affiliation: North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Laboratory for Crop Germplasm Resources of Hebei, College of Agronomy, Agricultural University of Hebei, Baoding, China
Subjects: Crop Improvement
Divisions: Groundnut
Depositing User: Mr T L Gautham
Date Deposited: 28 Oct 2016 06:43
Last Modified: 28 Oct 2016 06:43
URI: http://eprints.icrisat.ac.in/id/eprint/14480

Actions (login required)

View Item View Item
EPrints Logo
eprints is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.