Assessment of Genetic Diversity and Population Structure in Pea (Pisum sativum L.) Germplasm based on Morphological Traits and SSR Markers

Singh, S. S.; Singh, Balwant; Sharma, Vivek; Kumar, Mohit; Sirohi, Ujjwal

doi:10.18805/lr-4751

Cited by 4 publications

(7 citation statements)

References 17 publications

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“…Various molecular markers have been used to evaluate DNA polymorphism in peas; it depends on the relationship between the collections and the type of cultivar. Among these, the markers most often used by the researchers are the SSRs [15,37], but also SRAP [13] and ISSR [22] were employed because of their presumed reliability greater than RAPD and their ease of use greater than AFLP. In this investigation, we focus on the use of ISSR markers, due to their ability applied to the identification of genetic material of the…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Genetic Relationships of Some Endangered Tunisian Peas Adapted to Arid Regions and Turkish Accessions Revealed by Inter Simple Sequence Repeat (ISSR) Markers

Mohamed¹,

Kaçar²,

Toklu³

et al. 2023

Pol. J. Environ. Stud.

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The study of crop genetic diversity has received attention in recent decades to develop new varieties adapted to harsh environmental conditions. Pea (Pisum sativum L.) is one of the main sources of legumes due to its higher protein content. In the present investigation, 25 accessions of Turkish and Tunisian peas were characterized by fifteen ISSR markers in order to preserve this germplasm and develop new highperformance varieties. Means of diversity indices, Polymorphism information content (PIC), resolving power, marker index, major allele frequency and Shannon index were 0.70, 5.56, 3.20, 0.89 and 0.35, respectively. The analysis revealed a higher polymorphism (84.15%). The coefficient of similarity Jaccard varied from 0.45 to 1 exhibiting a greater genetic variety. The patterns detected by the cluster analysis, divided the 25 pea genotypes into three main groups. These findings were in agreement with the population structure which divided accessions into three main populations. Therefore, this paper has clearly shown the usefulness of the ISSR markers to provide a great degree of polymorphism for peas. The information collected from this work can help pea breeders to implement a selection program that improves the distribution of this crop in Turkey and in the arid regions of Southern Tunisia.

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Section: Discussionmentioning

confidence: 99%

Evaluation of the Genetic Relationships of Some Endangered Tunisian Peas Adapted to Arid Regions and Turkish Accessions Revealed by Inter Simple Sequence Repeat (ISSR) Markers

Mohamed¹,

Kaçar²,

Toklu³

et al. 2023

Pol. J. Environ. Stud.

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“…Loridon et al (2005) initially developed a set of SSRs for genetic diversity and linkage mapping of a pea. Later, Ram et al (2021) and Singh et al (2021b) reported using some polymorphic SSR markers for genetic diversity studies in peas.…”

Section: Introductionmentioning

confidence: 99%

Genetic Relationship and Diversity among Pea (Pisum sativum L.) Genotypes Assessed using Morphological and Molecular Markers

Latha¹,

Kerure²,

Ramesh³

et al. 2023

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Background: The study assessed the genetic relationship and diversity among twenty-two pea genotypes using morphological traits and SSR markers. Methods: 22 pea genotypes were analyzed using twenty-one phenotypic characters and eight SSR markers. The data obtained by morphological and molecular profiling was used to analyze genetic diversity among genotypes. Result: This study reveals that most genetic variation was due to variation within the population and was clustered into two distinct groups. As revealed by molecular markers, the relation among the diversified genotypes was not significantly correlated with those based on morphological traits, suggesting that the two systems give different estimates of genetic relations among the genotypes. The present study’s findings can be used to select diverse genotypes to be used as parents of crosses aimed at breeding improved pea cultivars.

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“…Since many morphological characters are affected by environmental factors, the analysis of genetic diversity among local pea populations in this study was performed on molecular markers [ 11 ]. Molecular markers are useful for complementing morphological traits as they are independent of environmental influences and allow variety identification in the early stages of the crop [ 12 ]. The study of genetic diversity has received much attention in the last two decades for an effective breeding program and germplasm management, especially after the development of the concept of seed collection [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

SSR-Based Molecular Identification and Population Structure Analysis for Forage Pea (Pisum sativum var. arvense L.) Landraces

Haliloğlu

Türkoğlu

Tan

et al. 2022

Genes

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Plant genetic diversity has a significant role in providing traits that can help meet future challenges, such as the need to adapt crops to changing climatic conditions or outbreaks of disease. Our aim in this study was to evaluate the diversity of 61 forage pea specimens (P. sativum ssp. arvense L.) collected from the northeastern Anatolia region of Turkey using 28 simple sequence repeat (SSR) markers. These primers generated a total of 82 polymorphic bands. The number of observed alleles (Na) per primer varied from 2 to 4 with a mean of 2.89 alleles/locus. The mean value of expected heterozygosity (Exp-Het = 0.50) was higher than the mean value of observed heterozygosity (Obs-Het = 0.22). The mean of polymorphic information content (PIC) was 0.41 with a range of 0.03–0.70. The mean number of effective alleles (Ne) was found to be 2.15, Nei’s expected heterozygosity (H) 0.49, and Shannon’s information index (I) 0.81. Cluster analysis through the unweighted pair-group mean average (UPGMA) method revealed that 61 forage pea landraces were divided into three main clusters. Genetic dissimilarity between the genotypes, calculated with the use of NTSYS-pc software, varied between 0.10 (G30 and G34) and 0.66 (G1 and G32). Principal coordinate analysis (PCoA) revealed that three principal coordinates explained 51.54% of the total variation. Moreover, population structure analysis showed that all genotypes formed three sub-populations. Expected heterozygosity values varied between 0.2669 (the first sub-population) and 0.3223 (third sub-population), with an average value of 0.2924. Average population differentiation measurement (Fst) was identified as 0.2351 for the first sub-population, 0.3838 for the second sub-population, and 0.2506 for the third sub-population. In general, current results suggest that SSR markers could be constantly used to illuminate the genetic diversity of forage pea landraces and can potentially be incorporated into future studies that examine the diversity within a larger collection of forage pea genotypes from diverse regions.

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Assessment of Genetic Diversity and Population Structure in Pea (Pisum sativum L.) Germplasm based on Morphological Traits and SSR Markers

Cited by 4 publications

References 17 publications

Evaluation of the Genetic Relationships of Some Endangered Tunisian Peas Adapted to Arid Regions and Turkish Accessions Revealed by Inter Simple Sequence Repeat (ISSR) Markers

Evaluation of the Genetic Relationships of Some Endangered Tunisian Peas Adapted to Arid Regions and Turkish Accessions Revealed by Inter Simple Sequence Repeat (ISSR) Markers

Genetic Relationship and Diversity among Pea (Pisum sativum L.) Genotypes Assessed using Morphological and Molecular Markers

SSR-Based Molecular Identification and Population Structure Analysis for Forage Pea (Pisum sativum var. arvense L.) Landraces

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