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Toward the identification of molecular markers associated with phytochemical traits in the Iranian sumac ( Rhus coriaria L.) population

Authors :
Ahmad Alijanpour
Mitra Razi
Reza Darvishzadeh
Rasoul Mohammadi Alaghuz
Source :
Food Science & Nutrition, Vol 9, Iss 6, Pp 3142-3154 (2021), Food Science & Nutrition
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Sumac (Rhus coriaria L.) is one of the important forest species dispersed in the northwest of Iran. It is one of the important spice in Iran and the Middle East because of active components containing organic acids, phenolic acids, flavonoids, anthocyanins, tannins and terpenoids. This study aimed to investigate population structure and linkage disequilibrium (LD) extent within Rhus coriaria L. genotypes using ISSR markers and identify molecular markers associated with phytochemical traits using association analysis. In the molecular part of the experiment, the genetic diversity of 75 sumac genotypes from five different areas of northwest Iran was assessed by 18 ISSR primers. In the phenotypic assessment, the fruits of the sumac genotypes were analyzed using HPLC‐LC/MSMS for determining phytochemical components including maleic acid, ellagic acid, maleic acid hexoside, gallic acid, coumaric acid, quercetin, caftaric acid, and linoleic acid. The phenotypic data analysis revealed the great phenotypic diversity among and within Iranian sumac populations for the studied phytochemical traits. The studied sumac genotypes were divided into two subpopulations based on molecular marker‐based structure analysis. A significant level of LD was observed in 11.64% of the ISSR marker pairs (p<br />Present work was conducted to investigate population structure in a collection of Iranian sumac germplasm and identify the association of ISSR markers with phytochemical traits in the plant. A total 12 ISSR markers associated with studied traits was identified using an association mapping approach. These ISSR markers provide primary molecular information for marker‐assisted selection in sumac.

Details

ISSN :
20487177
Volume :
9
Database :
OpenAIRE
Journal :
Food Science & Nutrition
Accession number :
edsair.doi.dedup.....bbf1168495a826721fd018ef61764c97