Evaluation of SRAP markers for mapping of Pisum sativum L.

Guindón, María Fernanda; Martín, Eugenia; Zayas, Aldana; Cointry, Enrique; Cravero, Vanina

doi:10.1590/1984-70332016v16n3a28

Cited by 12 publications

(7 citation statements)

References 31 publications

(43 reference statements)

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“…Results showed slight difference between ISSR and SRAP markers in the average of MI values of ISSR and SRAP mmarkers used in this study difference between the marker systems used in the present study 2.76 (SRAP) and 2.13(ISSR), which is in agreement with the results of (Baranger et al, 2004;Esposito et al, 2007;Kapila et al, 2012;Pakseresht et al, 2013;Kole et al, 2015 andGuindon et al, 2016). The average values of RP index showed a small difference between SRAP (4.92) and ISSR (4.07) markers.…”

Section: Discussionsupporting

confidence: 92%

“…Also, the mean number of total bands and polymorphic bands detected by each SRAP primer combinations was 14.7 and 11.6, respectively, which are a bit higher compared to the ISSR primers (12.6 and 9.7, respectively). Similar finding were found by Esposito et al (2007), Pakseresht et al (2013), Kole et al (2015), Guindon et al (2016). In general, the combined analysis of two markers revealed high polymorphism (78.02%).…”

Section: Discussionsupporting

confidence: 89%

“…In this study, the average value of PIC obtained by SRAP marker (0.23) was a bit higher than obtained by ISSR marker (0.22) however; both ISSR and SRAP markers were equally efficient in detection of polymorphisms among pea genotypes. Similar results are obtained by Baranger et al (2004), Esposito et al (2007, Pakseresht et al (2013), Kole et al (2015) and Guindon et al (2016).…”

Section: Discussionsupporting

confidence: 85%

“…Many studies in peas have been conducted on assessment of genetic diversity among genotypes of different regions using several DNA markers, such as restriction fragment length polymorphism (RFLP; Dirlewanger et al, 1994), random amplified polymorphism DNA (RAPD; Thakur et al, 2018 ), simple sequence repeats (SSR; Mohamed et al, 2019;Tahir et al, 2018), sequence-related amplified polymorphism (SRAP; Esposito et al, 2007;Guindon et al, 2016Guindon et al, & 2019, inter-simple sequence repeat (ISSR; La´zaro and Aguinagalde, 2006;Pakseresht et al, 2013) and amplified fragment length polymorphism (AFLP; Dyachenko et al, 2014). Among them, SRAP and ISSR have gained popularity because they are simple, speed, effective, reproducible, and do not need prior information about the target sequences in the genome (Snowdon and Friedt, 2004).…”

Section: Introductionmentioning

confidence: 99%

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

El-Fatah

Nafea

2020

Journal of Agricultural Chemistry and Biotechnology

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Fifteen pea (Pisum sativum L.) genotypes were evaluated for their agro-morphological performance and molecular diversity during 2017-2018 and 2018-2019 seasons. Combined analysis of variance revealed that there are highly significant differences among pea genotypes tested for all agro-morphological traits studied. The phenotypic coefficients of variation (PCV) values were relatively greater than Genotypic coefficients of variation (GCV) for all traits; however, GCV values were near to PCV values for the traits, like plant height, pods/plant, 100 seeds weight and pod width. High heritability coupled with high genetic advance was obtained for, plant height, reflecting the presence of additive gene action for the expression of this trait. High to moderate heritability coupled with moderate genetic gain were exhibited for number of pods per plant, 100 seeds weight, pod length, seeds per pod, pod weight and number of branches per plant. The Euclidean Distance among all genotypes based on agro-morphological traits was relatively wide. ISSR and SRAP markers were used to study the molecular diversity among pea genotypes. The molecular marker parameters revealed that SRAP markers were more efficient than ISSR markers with regards to polymorphism detection and in distinction among pea genotypes. Also, both ISSR and SRAP markers were able to amplify unique bands specific to a particular genotype. A positive and significant correlation (r=0.389: p ≤ 0.001) between ISSR and SRAP matrix was observed according to Mantel's test. Also, significant correlation (r = 0.411: p ≤ 0.001) between the matrices of combined molecular markers data and agro-morphological data.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

El-Fatah

Nafea

2020

Journal of Agricultural Chemistry and Biotechnology

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“…SRAP marker characteristics include: a reasonable throughput rate, disclosure of numerous co-dominant markers, more reproducible than RAPDs and ease of performing assays compared to AFLPs and, most importantly, targeting of open reading frames (ORFs). In legumes SRAP was used to assess the genetic diversity in faba beans (Alghamdi et al, 2012, Ammar et al, 2015), lentils (Rana et al, 2009, Alghamdi et al, 2014), alfalfa (Vandemark et al, 2006, Ariss and Vandemark, 2007, Castonguay et al, 2010, Al-Faifi et al, 2013), peas (Esposito et al, 2007, Guindon et al, 2016) and chickpeas (Khan et al, 2016). However, SRAP markers have rarely been applied to assess genetic variation of cowpea, and to our knowledge, this is the first application of SRAP markers used for assessment of genetic variability in cowpeas.…”

Section: Introductionmentioning

confidence: 99%

Biochemical and molecular characterization of cowpea landraces using seed storage proteins and SRAP marker patterns

Alghamdi

Khan

Migdadi

et al. 2019

Saudi Journal of Biological Sciences

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Seven landraces of cowpea [Vigna unguiculata (L.) Walp.] were assessed for genetic variability in total proteins, protein fractions viz. albumins, globulins, prolamins, and glutelins by SDS-polyacrylamide gel electrophoresis and DNA polymorphism using sequence-related amplified polymorphisms (SRAP) markers. The solubility-based protein fractionation data indicated that the salt soluble fraction (globulin) and water-soluble fraction (albumin) proteins were the predominant fractions in cowpea seeds comprising 45–50.3% and 31.2–35.5% of total soluble proteins, respectively. The electrophoretic pattern revealed the molecular heterogeneity among total proteins as well as different protein fractions. The molecular weights of protein bands obtained by SDS-PAGE varied between 10 to 250, 15 to 110, 15 to 150, and 15 to 130 kDa for total proteins, albumins, globulins, and glutelins, respectively. A large number of bands were found common to the various landraces, indicative of their close relationship with one another. However, a few bands distinctive to some specific landraces were also detected, indicating varietal differences. A 34 SRAP primer pair combination generated a total of 1003 amplicons (loci) showed 100% polymorphism with an average of 0.93 polymorphism information content (PIC) value. Landraces displayed an average 0.50 similarity coefficient which clustered the landraces corresponding to their growth habit in main clusters and to their geographical origin in subcultures. Molecular and biochemical analysis were correlated with a medium level (Mantel test, r = 0.56, P < 0.02). These findings revealed that seed proteins and DNA polymorphism provide valuable information regarding the variability among landraces and this information could be utilized for breeding purposes in the enhancement of protein quality and quantity in grain legumes.

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Breeding Strategies of Garden Pea (Pisum sativum L.)

Abdel-Hamid

Salem

2021

Advances in Plant Breeding Strategies: Vegetable Crops

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Evaluation of SRAP markers for mapping of Pisum sativum L.

Cited by 12 publications

References 31 publications

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

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

Biochemical and molecular characterization of cowpea landraces using seed storage proteins and SRAP marker patterns

Breeding Strategies of Garden Pea (Pisum sativum L.)

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