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De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer

Maruca vitrata (Fabricius) is an invasive insect pest capable of causing enormous economic losses to a broad spectrum of leguminous crops. Microsatellites are valuable molecular markers for population genetic studies; however, an inadequate number of M. vitrata microsatellite loci are available to c...

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Autores principales: Mahalle, Rashmi Manohar, Bosamia, Tejas C., Chakravarty, Snehel, Srivastava, Kartikeya, Meena, Radhe S., Kadam, Ulhas Sopanrao, Srivastava, Chandra P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10379186/
https://www.ncbi.nlm.nih.gov/pubmed/37510337
http://dx.doi.org/10.3390/genes14071433
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author Mahalle, Rashmi Manohar
Bosamia, Tejas C.
Chakravarty, Snehel
Srivastava, Kartikeya
Meena, Radhe S.
Kadam, Ulhas Sopanrao
Srivastava, Chandra P.
author_facet Mahalle, Rashmi Manohar
Bosamia, Tejas C.
Chakravarty, Snehel
Srivastava, Kartikeya
Meena, Radhe S.
Kadam, Ulhas Sopanrao
Srivastava, Chandra P.
author_sort Mahalle, Rashmi Manohar
collection PubMed
description Maruca vitrata (Fabricius) is an invasive insect pest capable of causing enormous economic losses to a broad spectrum of leguminous crops. Microsatellites are valuable molecular markers for population genetic studies; however, an inadequate number of M. vitrata microsatellite loci are available to carry out population association studies. Thus, we utilized this insect’s public domain databases for mining expressed sequence tags (EST)-derived microsatellite markers. In total, 234 microsatellite markers were identified from 10053 unigenes. We discovered that trinucleotide repeats were the most predominant microsatellite motifs (61.53%), followed by dinucleotide repeats (23.50%) and tetranucleotide repeats (14.95%). Based on the analysis, twenty-five markers were selected for validation in M. vitrata populations collected from various regions of India. The number of alleles (Na), observed heterozygosity (Ho), and expected heterozygosity (He) ranged from 2 to 5; 0.00 to 0.80; and 0.10 to 0.69, respectively. The polymorphic loci showed polymorphism information content (PIC), ranging from 0.09 to 0.72. Based on the genetic distance matrix, the unrooted neighbor-joining dendrogram differentiated the selected populations into two discrete groups. The SSR markers developed and validated in this study will be helpful in population-level investigations of M. vitrata to understand the gene flow, demography, dispersal patterns, biotype differentiation, and host dynamics.
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spelling pubmed-103791862023-07-29 De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer Mahalle, Rashmi Manohar Bosamia, Tejas C. Chakravarty, Snehel Srivastava, Kartikeya Meena, Radhe S. Kadam, Ulhas Sopanrao Srivastava, Chandra P. Genes (Basel) Article Maruca vitrata (Fabricius) is an invasive insect pest capable of causing enormous economic losses to a broad spectrum of leguminous crops. Microsatellites are valuable molecular markers for population genetic studies; however, an inadequate number of M. vitrata microsatellite loci are available to carry out population association studies. Thus, we utilized this insect’s public domain databases for mining expressed sequence tags (EST)-derived microsatellite markers. In total, 234 microsatellite markers were identified from 10053 unigenes. We discovered that trinucleotide repeats were the most predominant microsatellite motifs (61.53%), followed by dinucleotide repeats (23.50%) and tetranucleotide repeats (14.95%). Based on the analysis, twenty-five markers were selected for validation in M. vitrata populations collected from various regions of India. The number of alleles (Na), observed heterozygosity (Ho), and expected heterozygosity (He) ranged from 2 to 5; 0.00 to 0.80; and 0.10 to 0.69, respectively. The polymorphic loci showed polymorphism information content (PIC), ranging from 0.09 to 0.72. Based on the genetic distance matrix, the unrooted neighbor-joining dendrogram differentiated the selected populations into two discrete groups. The SSR markers developed and validated in this study will be helpful in population-level investigations of M. vitrata to understand the gene flow, demography, dispersal patterns, biotype differentiation, and host dynamics. MDPI 2023-07-12 /pmc/articles/PMC10379186/ /pubmed/37510337 http://dx.doi.org/10.3390/genes14071433 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mahalle, Rashmi Manohar
Bosamia, Tejas C.
Chakravarty, Snehel
Srivastava, Kartikeya
Meena, Radhe S.
Kadam, Ulhas Sopanrao
Srivastava, Chandra P.
De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer
title De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer
title_full De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer
title_fullStr De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer
title_full_unstemmed De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer
title_short De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer
title_sort de novo mining and validating novel microsatellite markers to assess genetic diversity in maruca vitrata (f.), a legume pod borer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10379186/
https://www.ncbi.nlm.nih.gov/pubmed/37510337
http://dx.doi.org/10.3390/genes14071433
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