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Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs
The use of molecular markers allows for precise estimates of genetic diversity, which is an important parameter that enables breeders to select parental lines and designing breeding systems. We assessed the level of genetic diversity and population structure in a panel of 151 tropical maize inbred l...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160135/ https://www.ncbi.nlm.nih.gov/pubmed/37159650 http://dx.doi.org/10.1007/s11105-022-01358-2 |
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author | Ayesiga, Stella Bigirwa Rubaihayo, Patrick Oloka, Bonny Michael Dramadri, Isaac Onziga Edema, Richard Sserumaga, Julius Pyton |
author_facet | Ayesiga, Stella Bigirwa Rubaihayo, Patrick Oloka, Bonny Michael Dramadri, Isaac Onziga Edema, Richard Sserumaga, Julius Pyton |
author_sort | Ayesiga, Stella Bigirwa |
collection | PubMed |
description | The use of molecular markers allows for precise estimates of genetic diversity, which is an important parameter that enables breeders to select parental lines and designing breeding systems. We assessed the level of genetic diversity and population structure in a panel of 151 tropical maize inbred lines using 10,940 SNP (single nucleotide polymorphism) markers generated through the DArTseq genotyping platform. The average gene diversity was 0.39 with expected heterozygosity ranging from 0.00 to 0.84, and a mean of 0.02. Analysis of molecular variance showed that 97% of allelic diversity was attributed to individual inbred lines within the populations while only 3% was distributed among the populations. Both neighbor-joining clustering and STRUCTURE analysis classified the inbred lines into four major groups. The crosses that involve inbred lines from most divergent subgroups are expected to generate maximum heterosis and produce wide variation. The results will be beneficial for breeders to better understand and exploit the genetic diversity available in the set of maize inbred lines we studied. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11105-022-01358-2. |
format | Online Article Text |
id | pubmed-10160135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-101601352023-05-06 Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs Ayesiga, Stella Bigirwa Rubaihayo, Patrick Oloka, Bonny Michael Dramadri, Isaac Onziga Edema, Richard Sserumaga, Julius Pyton Plant Mol Biol Report Research The use of molecular markers allows for precise estimates of genetic diversity, which is an important parameter that enables breeders to select parental lines and designing breeding systems. We assessed the level of genetic diversity and population structure in a panel of 151 tropical maize inbred lines using 10,940 SNP (single nucleotide polymorphism) markers generated through the DArTseq genotyping platform. The average gene diversity was 0.39 with expected heterozygosity ranging from 0.00 to 0.84, and a mean of 0.02. Analysis of molecular variance showed that 97% of allelic diversity was attributed to individual inbred lines within the populations while only 3% was distributed among the populations. Both neighbor-joining clustering and STRUCTURE analysis classified the inbred lines into four major groups. The crosses that involve inbred lines from most divergent subgroups are expected to generate maximum heterosis and produce wide variation. The results will be beneficial for breeders to better understand and exploit the genetic diversity available in the set of maize inbred lines we studied. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11105-022-01358-2. Springer US 2022-09-26 2023 /pmc/articles/PMC10160135/ /pubmed/37159650 http://dx.doi.org/10.1007/s11105-022-01358-2 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 Ayesiga, Stella Bigirwa Rubaihayo, Patrick Oloka, Bonny Michael Dramadri, Isaac Onziga Edema, Richard Sserumaga, Julius Pyton Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs |
title | Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs |
title_full | Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs |
title_fullStr | Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs |
title_full_unstemmed | Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs |
title_short | Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs |
title_sort | genetic variation among tropical maize inbred lines from nars and cgiar breeding programs |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160135/ https://www.ncbi.nlm.nih.gov/pubmed/37159650 http://dx.doi.org/10.1007/s11105-022-01358-2 |
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