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Exploring the genetic makeup and population structure among Capsicum accessions for crop improvement and breeding curriculum insights
BACKGROUND: Capsicum or chilli is an important crop in India which exhibits immense structural and genetic variations reflecting their intra- and inter-specific relationships. The aim of this study was to establish relationships amongst 54 Capsicum accessions through analysis of genetic and populati...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357239/ https://www.ncbi.nlm.nih.gov/pubmed/35932438 http://dx.doi.org/10.1186/s43141-022-00398-1 |
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author | Haq, Shamshadul Dubey, Shikha Dhingra, Prerna Verma, Kumar Sambhav Kumari, Deepa Kothari, S. L. Kachhwaha, Sumita |
author_facet | Haq, Shamshadul Dubey, Shikha Dhingra, Prerna Verma, Kumar Sambhav Kumari, Deepa Kothari, S. L. Kachhwaha, Sumita |
author_sort | Haq, Shamshadul |
collection | PubMed |
description | BACKGROUND: Capsicum or chilli is an important crop in India which exhibits immense structural and genetic variations reflecting their intra- and inter-specific relationships. The aim of this study was to establish relationships amongst 54 Capsicum accessions through analysis of genetic and population structure using ISSR markers. RESULTS: Out of 19, successful DNA amplifications were shown by 7 ISSR primers and a total of 80 bands were identified ranging between 8 and 14 with an average of 11.43 bands/primer. A significant degree of polymorphic information content (PIC), discriminating power (DP), resolving power (RP), effective multiplex ratio (EMR), and marker index (MI) were identified as 0.39, 0.70, 6.40, 5.88, and 2.30, respectively, using ISSR markers in chillies. The cross-transferability ranged from 8.0 to 72.15% with an average of 52.63% among chillies. Amongst genetic information, grand mean values were 0.264, 0.180, 0.376, 0.296, and 0.180, which correspond to Shannon’s information index (I), expected heterozygosity (He), Nei’s gene diversity, total diversity among species (Ht), diversity within species (Hs), respectively. Further, the coefficients of gene differentiation (Gst) and gene flow (Nm) were 0.393 and 0.773, representing higher genetic variation among the population which was confirmed by analysis of molecular variance (AMOVA). CONCLUSION: ISSR markers represented a potent system for the estimation of relationships or variation studies and generated information useful for planning crop management and improvement strategies in chilli breeding. |
format | Online Article Text |
id | pubmed-9357239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93572392022-08-19 Exploring the genetic makeup and population structure among Capsicum accessions for crop improvement and breeding curriculum insights Haq, Shamshadul Dubey, Shikha Dhingra, Prerna Verma, Kumar Sambhav Kumari, Deepa Kothari, S. L. Kachhwaha, Sumita J Genet Eng Biotechnol Research BACKGROUND: Capsicum or chilli is an important crop in India which exhibits immense structural and genetic variations reflecting their intra- and inter-specific relationships. The aim of this study was to establish relationships amongst 54 Capsicum accessions through analysis of genetic and population structure using ISSR markers. RESULTS: Out of 19, successful DNA amplifications were shown by 7 ISSR primers and a total of 80 bands were identified ranging between 8 and 14 with an average of 11.43 bands/primer. A significant degree of polymorphic information content (PIC), discriminating power (DP), resolving power (RP), effective multiplex ratio (EMR), and marker index (MI) were identified as 0.39, 0.70, 6.40, 5.88, and 2.30, respectively, using ISSR markers in chillies. The cross-transferability ranged from 8.0 to 72.15% with an average of 52.63% among chillies. Amongst genetic information, grand mean values were 0.264, 0.180, 0.376, 0.296, and 0.180, which correspond to Shannon’s information index (I), expected heterozygosity (He), Nei’s gene diversity, total diversity among species (Ht), diversity within species (Hs), respectively. Further, the coefficients of gene differentiation (Gst) and gene flow (Nm) were 0.393 and 0.773, representing higher genetic variation among the population which was confirmed by analysis of molecular variance (AMOVA). CONCLUSION: ISSR markers represented a potent system for the estimation of relationships or variation studies and generated information useful for planning crop management and improvement strategies in chilli breeding. Springer Berlin Heidelberg 2022-08-06 /pmc/articles/PMC9357239/ /pubmed/35932438 http://dx.doi.org/10.1186/s43141-022-00398-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Haq, Shamshadul Dubey, Shikha Dhingra, Prerna Verma, Kumar Sambhav Kumari, Deepa Kothari, S. L. Kachhwaha, Sumita Exploring the genetic makeup and population structure among Capsicum accessions for crop improvement and breeding curriculum insights |
title | Exploring the genetic makeup and population structure among Capsicum accessions for crop improvement and breeding curriculum insights |
title_full | Exploring the genetic makeup and population structure among Capsicum accessions for crop improvement and breeding curriculum insights |
title_fullStr | Exploring the genetic makeup and population structure among Capsicum accessions for crop improvement and breeding curriculum insights |
title_full_unstemmed | Exploring the genetic makeup and population structure among Capsicum accessions for crop improvement and breeding curriculum insights |
title_short | Exploring the genetic makeup and population structure among Capsicum accessions for crop improvement and breeding curriculum insights |
title_sort | exploring the genetic makeup and population structure among capsicum accessions for crop improvement and breeding curriculum insights |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357239/ https://www.ncbi.nlm.nih.gov/pubmed/35932438 http://dx.doi.org/10.1186/s43141-022-00398-1 |
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