Assessment of genetic diversity and determination of population structure lentil genotypes Using SSR Markers

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Sarvmeili Javad; SAIDI ABBAS; FARROKHI NASER; POURESMAEL MASOUMEH; TALEBI REZA

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Journal: JOURNAL OF AGRICULTURAL BIOTECHNOLOGY Year:2020 | Volume:12 | Issue:1 Page(s): 45-62

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Title

Assessment of genetic diversity and determination of population structure lentil genotypes Using SSR Markers

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Keywords

Cluster analysisQ1

Population structureQ1

LentilQ2

Polymorphism information contentQ1

SSR markerQ1

Abstract

Objective Lentil (Lens culinaris) is the third most important grain legume in the world after chickpea (Cicer arietinum L. ) and pea (Pisum sativum L. ). Therefore, the aim of this research was (1) to determine the genetic diversity and structure of molecular variation of genotypes and (2) to identify relationships among genotype for conservation, management, and utilization of these genotypes in crop breeding programs. Materials and methods Total genomic DNA was extracted from leaves of each genotype following a CTAB protocol. After DNA extraction, DNA samples were amplified using polymerase chain reaction (PCR). Evaluation of the genetic diversity of 90 Lentil genotypes was performed using 30 SSR markers. Results A total of 145 polymorphic alleles were produced with an average of 4. 06 alleles per locus. The highest number of alleles produced belonged to SSR 80 primer with eight alleles and the lowest number of alleles belonged to SSR96 primer with three alleles. Polymorphic information content (PIC) for the markers ranged between 0. 35 to 0. 83 with an average of 0. 63. Maximum and minimum PIC have belonged for SSR80 and SSR28, respectively. Shannon index value was variable from 1. 94 (for the SSR80) to 0. 829 (for the SSR48). The expected heterozygosity was observed in genotypes ranged from 0. 845 (SSR80) to 0. 422 (SSR48). The mean of this index obtained with 0. 643. Clustering analysis was performed using Neihbour-Joining algorithm and Population structure analysis was performed using Bayesian method. The best number of sub-populations was identified as three. Genotypes were identified within the different sub-populations that most of genotypes in sub-populations were not separated based on their geographic origins. Conclusions Results of this study revealed that SSR marker has highly potential for evaluation. This marker could separate all of genotypes very well.

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APA: Copy

Sarvmeili, Javad, SAIDI, ABBAS, FARROKHI, NASER, POURESMAEL, MASOUMEH, & TALEBI, REZA. (2020). Assessment of genetic diversity and determination of population structure lentil genotypes Using SSR Markers. JOURNAL OF AGRICULTURAL BIOTECHNOLOGY, 12(1 ), 45-62. SID. https://sid.ir/paper/224529/en

Vancouver: Copy

Sarvmeili Javad, SAIDI ABBAS, FARROKHI NASER, POURESMAEL MASOUMEH, TALEBI REZA. Assessment of genetic diversity and determination of population structure lentil genotypes Using SSR Markers. JOURNAL OF AGRICULTURAL BIOTECHNOLOGY[Internet]. 2020;12(1 ):45-62. Available from: https://sid.ir/paper/224529/en

IEEE: Copy

Javad Sarvmeili, ABBAS SAIDI, NASER FARROKHI, MASOUMEH POURESMAEL, and REZA TALEBI, “Assessment of genetic diversity and determination of population structure lentil genotypes Using SSR Markers,” JOURNAL OF AGRICULTURAL BIOTECHNOLOGY, vol. 12, no. 1 , pp. 45–62, 2020, [Online]. Available: https://sid.ir/paper/224529/en

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