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Genome survey sequencing and mining of genome-wide microsatellite markers in yellow-billed babbler (Turdoides affinis)

Turdoides affinis is a species of group dwelling old world passerine of family Leiothrichidae. Unavailability of genome-wide sequence and species-specific molecular markers have hindered comprehensive understanding of cooperative breeding behaviour in T. affinis. Therefore, we generated genome-wide...

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Autores principales: Mondal, Trisha, Dey, Prateek, Kumari, Divya, Ray, Swapna Devi, Quadros, Goldin, Sastry Kochiganti, Venkata Hanumat, Singh, Ram Pratap
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840121/
https://www.ncbi.nlm.nih.gov/pubmed/36647364
http://dx.doi.org/10.1016/j.heliyon.2022.e12735
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author Mondal, Trisha
Dey, Prateek
Kumari, Divya
Ray, Swapna Devi
Quadros, Goldin
Sastry Kochiganti, Venkata Hanumat
Singh, Ram Pratap
author_facet Mondal, Trisha
Dey, Prateek
Kumari, Divya
Ray, Swapna Devi
Quadros, Goldin
Sastry Kochiganti, Venkata Hanumat
Singh, Ram Pratap
author_sort Mondal, Trisha
collection PubMed
description Turdoides affinis is a species of group dwelling old world passerine of family Leiothrichidae. Unavailability of genome-wide sequence and species-specific molecular markers have hindered comprehensive understanding of cooperative breeding behaviour in T. affinis. Therefore, we generated genome-wide microsatellite markers through whole genome short read sequencing of T. affinis. A total of 68.8 gigabytes of paired-end raw data were sequenced containing 195,067,054 reads. Total sequenced reads spanned a coverage of 17X with genome size of 1.18 Gb. A large number of microsatellite markers (265,297) were mined in the T. affinis genome using Krait, and 50 most informative markers were identified and validated further. In-silico PCR results validated 47 markers. Of these 47 markers, five were randomly selected and validated in-vitro in twelve individuals of T. affinis. Genotyping data on these five loci estimated observed heterozygosity (H(0)) and expected heterozygosity (H(e)) ratios between 0.333 – 0.833 and 0.851–0.906, respectively. Effective allele size ranged from 6.698 to 10.667, inbreeding coefficient of the population ranged from 0.080 to 0.631 and null allele frequency was calculated at 0.055 to 0.303. Polymorphic information content of all the five loci varied between 0.850 and 0.906. Probabilities of exclusion and identity across 5 loci was estimated to be 0.95 and 0.0036, respectively. All the loci showed significant adherence to Hardy-Weinberg equilibrium. The microsatellite markers reported in this study will facilitate future population genetics studies on T. affinis and other congeneric species.
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spelling pubmed-98401212023-01-15 Genome survey sequencing and mining of genome-wide microsatellite markers in yellow-billed babbler (Turdoides affinis) Mondal, Trisha Dey, Prateek Kumari, Divya Ray, Swapna Devi Quadros, Goldin Sastry Kochiganti, Venkata Hanumat Singh, Ram Pratap Heliyon Research Article Turdoides affinis is a species of group dwelling old world passerine of family Leiothrichidae. Unavailability of genome-wide sequence and species-specific molecular markers have hindered comprehensive understanding of cooperative breeding behaviour in T. affinis. Therefore, we generated genome-wide microsatellite markers through whole genome short read sequencing of T. affinis. A total of 68.8 gigabytes of paired-end raw data were sequenced containing 195,067,054 reads. Total sequenced reads spanned a coverage of 17X with genome size of 1.18 Gb. A large number of microsatellite markers (265,297) were mined in the T. affinis genome using Krait, and 50 most informative markers were identified and validated further. In-silico PCR results validated 47 markers. Of these 47 markers, five were randomly selected and validated in-vitro in twelve individuals of T. affinis. Genotyping data on these five loci estimated observed heterozygosity (H(0)) and expected heterozygosity (H(e)) ratios between 0.333 – 0.833 and 0.851–0.906, respectively. Effective allele size ranged from 6.698 to 10.667, inbreeding coefficient of the population ranged from 0.080 to 0.631 and null allele frequency was calculated at 0.055 to 0.303. Polymorphic information content of all the five loci varied between 0.850 and 0.906. Probabilities of exclusion and identity across 5 loci was estimated to be 0.95 and 0.0036, respectively. All the loci showed significant adherence to Hardy-Weinberg equilibrium. The microsatellite markers reported in this study will facilitate future population genetics studies on T. affinis and other congeneric species. Elsevier 2023-01-03 /pmc/articles/PMC9840121/ /pubmed/36647364 http://dx.doi.org/10.1016/j.heliyon.2022.e12735 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Mondal, Trisha
Dey, Prateek
Kumari, Divya
Ray, Swapna Devi
Quadros, Goldin
Sastry Kochiganti, Venkata Hanumat
Singh, Ram Pratap
Genome survey sequencing and mining of genome-wide microsatellite markers in yellow-billed babbler (Turdoides affinis)
title Genome survey sequencing and mining of genome-wide microsatellite markers in yellow-billed babbler (Turdoides affinis)
title_full Genome survey sequencing and mining of genome-wide microsatellite markers in yellow-billed babbler (Turdoides affinis)
title_fullStr Genome survey sequencing and mining of genome-wide microsatellite markers in yellow-billed babbler (Turdoides affinis)
title_full_unstemmed Genome survey sequencing and mining of genome-wide microsatellite markers in yellow-billed babbler (Turdoides affinis)
title_short Genome survey sequencing and mining of genome-wide microsatellite markers in yellow-billed babbler (Turdoides affinis)
title_sort genome survey sequencing and mining of genome-wide microsatellite markers in yellow-billed babbler (turdoides affinis)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840121/
https://www.ncbi.nlm.nih.gov/pubmed/36647364
http://dx.doi.org/10.1016/j.heliyon.2022.e12735
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