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Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars

Genetic improvement mainly depends on the level of genetic variability present in the population, and the degree of genetic diversity in a population largely determines the rate of genetic advancement. For analyzing genetic diversity and determining cultivar identities, a molecular marker is a usefu...

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Autores principales: A. A. Hussein, Mohammed, Eid, Manal, Rahimi, Mehdi, Filimban, Faten Zubair, Abd El-Moneim, Diaa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542820/
https://www.ncbi.nlm.nih.gov/pubmed/37790610
http://dx.doi.org/10.7717/peerj.15722
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author A. A. Hussein, Mohammed
Eid, Manal
Rahimi, Mehdi
Filimban, Faten Zubair
Abd El-Moneim, Diaa
author_facet A. A. Hussein, Mohammed
Eid, Manal
Rahimi, Mehdi
Filimban, Faten Zubair
Abd El-Moneim, Diaa
author_sort A. A. Hussein, Mohammed
collection PubMed
description Genetic improvement mainly depends on the level of genetic variability present in the population, and the degree of genetic diversity in a population largely determines the rate of genetic advancement. For analyzing genetic diversity and determining cultivar identities, a molecular marker is a useful tool. Using 30 SSR (simple sequence repeat) and 30 RAPD (randomly amplified polymorphic DNA) markers, this study evaluated the genetic divergence of 17 mango cultivars. The effectiveness of the two marker systems was evaluated using their genetic diversity characteristics. Additionally, the effects of SM (simple matching) and Dice similarity coefficients and their effects on mango clustering were evaluated. The findings showed that SSR markers generated 192 alleles, all of which were polymorphic (100%). With RAPD markers, 434 bands were obtained, 361 of which were polymorphic (83%). The average polymorphic information content (PIC) for RAPD and SSR was 0.378 and 0.735, respectively. Using SSR markers resulted in much higher values for other genetic diversity parameters compared to RAPD markers. Furthermore, grouping the genotypes according to the two similarity coefficients without detailed consideration of these coefficients could not influence the study results. The RAPD markers OPA_01, OPM_12 followed by OPO_12 and SSR markers MIAC_4, MIAC_5 followed by mMiCIR_21 were the most informative in terms of describing genetic variability among the cultivars under study; they can be used in further investigations such as genetic mapping or marker-assisted selection. Overall, ‘Zebda’ cultivar was the most diverse of the studied cultivars.
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spelling pubmed-105428202023-10-03 Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars A. A. Hussein, Mohammed Eid, Manal Rahimi, Mehdi Filimban, Faten Zubair Abd El-Moneim, Diaa PeerJ Agricultural Science Genetic improvement mainly depends on the level of genetic variability present in the population, and the degree of genetic diversity in a population largely determines the rate of genetic advancement. For analyzing genetic diversity and determining cultivar identities, a molecular marker is a useful tool. Using 30 SSR (simple sequence repeat) and 30 RAPD (randomly amplified polymorphic DNA) markers, this study evaluated the genetic divergence of 17 mango cultivars. The effectiveness of the two marker systems was evaluated using their genetic diversity characteristics. Additionally, the effects of SM (simple matching) and Dice similarity coefficients and their effects on mango clustering were evaluated. The findings showed that SSR markers generated 192 alleles, all of which were polymorphic (100%). With RAPD markers, 434 bands were obtained, 361 of which were polymorphic (83%). The average polymorphic information content (PIC) for RAPD and SSR was 0.378 and 0.735, respectively. Using SSR markers resulted in much higher values for other genetic diversity parameters compared to RAPD markers. Furthermore, grouping the genotypes according to the two similarity coefficients without detailed consideration of these coefficients could not influence the study results. The RAPD markers OPA_01, OPM_12 followed by OPO_12 and SSR markers MIAC_4, MIAC_5 followed by mMiCIR_21 were the most informative in terms of describing genetic variability among the cultivars under study; they can be used in further investigations such as genetic mapping or marker-assisted selection. Overall, ‘Zebda’ cultivar was the most diverse of the studied cultivars. PeerJ Inc. 2023-09-28 /pmc/articles/PMC10542820/ /pubmed/37790610 http://dx.doi.org/10.7717/peerj.15722 Text en ©2023 A. A. Hussein et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
A. A. Hussein, Mohammed
Eid, Manal
Rahimi, Mehdi
Filimban, Faten Zubair
Abd El-Moneim, Diaa
Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars
title Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars
title_full Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars
title_fullStr Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars
title_full_unstemmed Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars
title_short Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars
title_sort comparative assessment of ssr and rapd markers for genetic diversity in some mango cultivars
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542820/
https://www.ncbi.nlm.nih.gov/pubmed/37790610
http://dx.doi.org/10.7717/peerj.15722
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