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Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)

Cultivated sunflower holds a very narrow genetic base and the efficient utilization of available genetic diversity is very important for a successful breeding program. In the present study, 109 sunflower genotypes were assessed for diversity paneling through a combined approach of morphological and...

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Autores principales: Ibrar, Danish, Khan, Shahbaz, Mahmood, Talat, Bakhsh, Ali, Aziz, Irum, Rais, Afroz, Ahmad, Rafiq, Bashir, Saqib, Nawaz, Muhammad, Rashid, Nabila, Irshad, Sohail, Alotaibi, Saqer S., Dvorackova, Helena, Dvoracek, Jan, Hasnain, Zuhair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366523/
https://www.ncbi.nlm.nih.gov/pubmed/35968099
http://dx.doi.org/10.3389/fpls.2022.916845
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author Ibrar, Danish
Khan, Shahbaz
Mahmood, Talat
Bakhsh, Ali
Aziz, Irum
Rais, Afroz
Ahmad, Rafiq
Bashir, Saqib
Nawaz, Muhammad
Rashid, Nabila
Irshad, Sohail
Alotaibi, Saqer S.
Dvorackova, Helena
Dvoracek, Jan
Hasnain, Zuhair
author_facet Ibrar, Danish
Khan, Shahbaz
Mahmood, Talat
Bakhsh, Ali
Aziz, Irum
Rais, Afroz
Ahmad, Rafiq
Bashir, Saqib
Nawaz, Muhammad
Rashid, Nabila
Irshad, Sohail
Alotaibi, Saqer S.
Dvorackova, Helena
Dvoracek, Jan
Hasnain, Zuhair
author_sort Ibrar, Danish
collection PubMed
description Cultivated sunflower holds a very narrow genetic base and the efficient utilization of available genetic diversity is very important for a successful breeding program. In the present study, 109 sunflower genotypes were assessed for diversity paneling through a combined approach of morphological and molecular markers analysis. Morphological parameters including days to flower initiation, days to flower completion, plant height, stem curvature, number of leaves per plant, leaf area, head diameter, hundred seed weight, and seed yield per plant were studied. Simple sequence repeats (40 DNA markers) were deployed for diversity profiling. Data were analyzed by both univariate and multivariate statistics. SD and coefficient of variation confirm the presence of significant amounts of genetic variation for all the morphological parameters. Cluster Analysis and Principal Component Analysis further confirm the presence of distinct grouping patterns in the studied material. Cluster analysis of both morphological and molecular analysis revealed that restorer lines tend to group separately from A, B, and open-pollinated lines. Further grouping, at the sub-cluster level, revealed six distinct sub-clusters in each of the two major clusters. In total, 12 genotypes, 6 CMS lines (CMS-HAP-12, CMS-HAP-54, CMS-HAP-56, CMS-HAP-99, CMS-HAP-111, and CMS-HAP-112) and 6 restorer lines (RHP-38, RHP-41, RHP-53, RHP-68, RHP-69, and RHP-71) could be used as potential parents for hybrid development. As genotypes of similar genetic backgrounds tend to group closer, it is deduced that one genotype with the highest seed yield per plant could be used for further hybrid breeding programs in sunflowers.
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spelling pubmed-93665232022-08-12 Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.) Ibrar, Danish Khan, Shahbaz Mahmood, Talat Bakhsh, Ali Aziz, Irum Rais, Afroz Ahmad, Rafiq Bashir, Saqib Nawaz, Muhammad Rashid, Nabila Irshad, Sohail Alotaibi, Saqer S. Dvorackova, Helena Dvoracek, Jan Hasnain, Zuhair Front Plant Sci Plant Science Cultivated sunflower holds a very narrow genetic base and the efficient utilization of available genetic diversity is very important for a successful breeding program. In the present study, 109 sunflower genotypes were assessed for diversity paneling through a combined approach of morphological and molecular markers analysis. Morphological parameters including days to flower initiation, days to flower completion, plant height, stem curvature, number of leaves per plant, leaf area, head diameter, hundred seed weight, and seed yield per plant were studied. Simple sequence repeats (40 DNA markers) were deployed for diversity profiling. Data were analyzed by both univariate and multivariate statistics. SD and coefficient of variation confirm the presence of significant amounts of genetic variation for all the morphological parameters. Cluster Analysis and Principal Component Analysis further confirm the presence of distinct grouping patterns in the studied material. Cluster analysis of both morphological and molecular analysis revealed that restorer lines tend to group separately from A, B, and open-pollinated lines. Further grouping, at the sub-cluster level, revealed six distinct sub-clusters in each of the two major clusters. In total, 12 genotypes, 6 CMS lines (CMS-HAP-12, CMS-HAP-54, CMS-HAP-56, CMS-HAP-99, CMS-HAP-111, and CMS-HAP-112) and 6 restorer lines (RHP-38, RHP-41, RHP-53, RHP-68, RHP-69, and RHP-71) could be used as potential parents for hybrid development. As genotypes of similar genetic backgrounds tend to group closer, it is deduced that one genotype with the highest seed yield per plant could be used for further hybrid breeding programs in sunflowers. Frontiers Media S.A. 2022-07-28 /pmc/articles/PMC9366523/ /pubmed/35968099 http://dx.doi.org/10.3389/fpls.2022.916845 Text en Copyright © 2022 Ibrar, Khan, Mahmood, Bakhsh, Aziz, Rais, Ahmad, Bashir, Nawaz, Rashid, Irshad, Alotaibi, Dvorackova, Dvoracek and Hasnain. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Ibrar, Danish
Khan, Shahbaz
Mahmood, Talat
Bakhsh, Ali
Aziz, Irum
Rais, Afroz
Ahmad, Rafiq
Bashir, Saqib
Nawaz, Muhammad
Rashid, Nabila
Irshad, Sohail
Alotaibi, Saqer S.
Dvorackova, Helena
Dvoracek, Jan
Hasnain, Zuhair
Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)
title Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)
title_full Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)
title_fullStr Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)
title_full_unstemmed Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)
title_short Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)
title_sort molecular markers-based dna fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (helianthus annuus l.)
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366523/
https://www.ncbi.nlm.nih.gov/pubmed/35968099
http://dx.doi.org/10.3389/fpls.2022.916845
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