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Random amplified microsatellites (RAMS) analysis ascertains genetic variation of Alternaria alternata causing black spot disease on Carya illinoinensis in South Africa
Limited information regarding the occurrence of black spot disease of pecan (Carya illinoinensis), caused by A. alternata, in South Africa is known. The pecan industry is growing rapidly, so it is essential to understand the impact of the fungal pathogen to pecan health. In this study, the genetic v...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569608/ https://www.ncbi.nlm.nih.gov/pubmed/37842646 http://dx.doi.org/10.3389/fgene.2023.1213102 |
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author | Achilonu, Conrad Chibunna Gryzenhout, Marieka Marais, Gert Johannes Madisha, M. Thabang Ghosh, Soumya |
author_facet | Achilonu, Conrad Chibunna Gryzenhout, Marieka Marais, Gert Johannes Madisha, M. Thabang Ghosh, Soumya |
author_sort | Achilonu, Conrad Chibunna |
collection | PubMed |
description | Limited information regarding the occurrence of black spot disease of pecan (Carya illinoinensis), caused by A. alternata, in South Africa is known. The pecan industry is growing rapidly, so it is essential to understand the impact of the fungal pathogen to pecan health. In this study, the genetic variation of 364 A. alternata isolates was investigated by two RAMS primers (CCA(5) and CGA(5)). In total, 6,525 alleles were produced, with a minimum of 3,182 alleles on the CGA(5) primer and maximum of 3,343 alleles for CCA(5) primer. Further analysis of the primers showed relatively low genetic diversity of A. alternata isolate populations, with mean values; (H = 0.12) and Shannon’s information index (I = 0.20). The analysis of molecular variance (AMOVA) revealed significant differences between populations, with 88% of the genetic variation was found within populations (Nm = 3.59, PhiPT = 0.12), and were not significantly different (p > 0.001). While 12% variation was observed among populations (Nm = 2.89, PhiPT = 0.08) and the estimates were statistically significant (p < 0.001). STRUCTURE HARVESTER output showed that K value is K = 8, where ΔK cannot find the true number of populations because of less variation. The dendrogram cluster tree generated by Ward’s analysis unveiled two main distinct clades and 10 sub-clades, revealing similar findings as those of PCoA analysis clusters. Therefore, it was evident that these analyses depicted no distinct relationship between the A. alternata isolates and their geographic locations or the prevalence of distribution among the populations. |
format | Online Article Text |
id | pubmed-10569608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105696082023-10-13 Random amplified microsatellites (RAMS) analysis ascertains genetic variation of Alternaria alternata causing black spot disease on Carya illinoinensis in South Africa Achilonu, Conrad Chibunna Gryzenhout, Marieka Marais, Gert Johannes Madisha, M. Thabang Ghosh, Soumya Front Genet Genetics Limited information regarding the occurrence of black spot disease of pecan (Carya illinoinensis), caused by A. alternata, in South Africa is known. The pecan industry is growing rapidly, so it is essential to understand the impact of the fungal pathogen to pecan health. In this study, the genetic variation of 364 A. alternata isolates was investigated by two RAMS primers (CCA(5) and CGA(5)). In total, 6,525 alleles were produced, with a minimum of 3,182 alleles on the CGA(5) primer and maximum of 3,343 alleles for CCA(5) primer. Further analysis of the primers showed relatively low genetic diversity of A. alternata isolate populations, with mean values; (H = 0.12) and Shannon’s information index (I = 0.20). The analysis of molecular variance (AMOVA) revealed significant differences between populations, with 88% of the genetic variation was found within populations (Nm = 3.59, PhiPT = 0.12), and were not significantly different (p > 0.001). While 12% variation was observed among populations (Nm = 2.89, PhiPT = 0.08) and the estimates were statistically significant (p < 0.001). STRUCTURE HARVESTER output showed that K value is K = 8, where ΔK cannot find the true number of populations because of less variation. The dendrogram cluster tree generated by Ward’s analysis unveiled two main distinct clades and 10 sub-clades, revealing similar findings as those of PCoA analysis clusters. Therefore, it was evident that these analyses depicted no distinct relationship between the A. alternata isolates and their geographic locations or the prevalence of distribution among the populations. Frontiers Media S.A. 2023-09-27 /pmc/articles/PMC10569608/ /pubmed/37842646 http://dx.doi.org/10.3389/fgene.2023.1213102 Text en Copyright © 2023 Achilonu, Gryzenhout, Marais, Madisha and Ghosh. 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 | Genetics Achilonu, Conrad Chibunna Gryzenhout, Marieka Marais, Gert Johannes Madisha, M. Thabang Ghosh, Soumya Random amplified microsatellites (RAMS) analysis ascertains genetic variation of Alternaria alternata causing black spot disease on Carya illinoinensis in South Africa |
title | Random amplified microsatellites (RAMS) analysis ascertains genetic variation of Alternaria alternata causing black spot disease on Carya illinoinensis in South Africa |
title_full | Random amplified microsatellites (RAMS) analysis ascertains genetic variation of Alternaria alternata causing black spot disease on Carya illinoinensis in South Africa |
title_fullStr | Random amplified microsatellites (RAMS) analysis ascertains genetic variation of Alternaria alternata causing black spot disease on Carya illinoinensis in South Africa |
title_full_unstemmed | Random amplified microsatellites (RAMS) analysis ascertains genetic variation of Alternaria alternata causing black spot disease on Carya illinoinensis in South Africa |
title_short | Random amplified microsatellites (RAMS) analysis ascertains genetic variation of Alternaria alternata causing black spot disease on Carya illinoinensis in South Africa |
title_sort | random amplified microsatellites (rams) analysis ascertains genetic variation of alternaria alternata causing black spot disease on carya illinoinensis in south africa |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569608/ https://www.ncbi.nlm.nih.gov/pubmed/37842646 http://dx.doi.org/10.3389/fgene.2023.1213102 |
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