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Next Generation Sequencing Revolutionizes Organismal Biology Research in Bats

The advent of next generation sequencing technologies (NGS) has greatly accelerated our understanding of critical aspects of organismal biology from non-model organisms. Bats form a particularly interesting group in this regard, as genomic data have helped unearth a vast spectrum of idiosyncrasies i...

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Autores principales: Garg, Kritika M., Lamba, Vinita, Sanyal, Avirup, Dovih, Pilot, Chattopadhyay, Balaji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166039/
https://www.ncbi.nlm.nih.gov/pubmed/37154841
http://dx.doi.org/10.1007/s00239-023-10107-2
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author Garg, Kritika M.
Lamba, Vinita
Sanyal, Avirup
Dovih, Pilot
Chattopadhyay, Balaji
author_facet Garg, Kritika M.
Lamba, Vinita
Sanyal, Avirup
Dovih, Pilot
Chattopadhyay, Balaji
author_sort Garg, Kritika M.
collection PubMed
description The advent of next generation sequencing technologies (NGS) has greatly accelerated our understanding of critical aspects of organismal biology from non-model organisms. Bats form a particularly interesting group in this regard, as genomic data have helped unearth a vast spectrum of idiosyncrasies in bat genomes associated with bat biology, physiology, and evolution. Bats are important bioindicators and are keystone species to many eco-systems. They often live in proximity to humans and are frequently associated with emerging infectious diseases, including the COVID-19 pandemic. Nearly four dozen bat genomes have been published to date, ranging from drafts to chromosomal level assemblies. Genomic investigations in bats have also become critical towards our understanding of disease biology and host–pathogen coevolution. In addition to whole genome sequencing, low coverage genomic data like reduced representation libraries, resequencing data, etc. have contributed significantly towards our understanding of the evolution of natural populations, and their responses to climatic and anthropogenic perturbations. In this review, we discuss how genomic data have enhanced our understanding of physiological adaptations in bats (particularly related to ageing, immunity, diet, etc.), pathogen discovery, and host pathogen co-evolution. In comparison, the application of NGS towards population genomics, conservation, biodiversity assessment, and functional genomics has been appreciably slower. We reviewed the current areas of focus, identifying emerging topical research directions and providing a roadmap for future genomic studies in bats.
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spelling pubmed-101660392023-05-09 Next Generation Sequencing Revolutionizes Organismal Biology Research in Bats Garg, Kritika M. Lamba, Vinita Sanyal, Avirup Dovih, Pilot Chattopadhyay, Balaji J Mol Evol Review The advent of next generation sequencing technologies (NGS) has greatly accelerated our understanding of critical aspects of organismal biology from non-model organisms. Bats form a particularly interesting group in this regard, as genomic data have helped unearth a vast spectrum of idiosyncrasies in bat genomes associated with bat biology, physiology, and evolution. Bats are important bioindicators and are keystone species to many eco-systems. They often live in proximity to humans and are frequently associated with emerging infectious diseases, including the COVID-19 pandemic. Nearly four dozen bat genomes have been published to date, ranging from drafts to chromosomal level assemblies. Genomic investigations in bats have also become critical towards our understanding of disease biology and host–pathogen coevolution. In addition to whole genome sequencing, low coverage genomic data like reduced representation libraries, resequencing data, etc. have contributed significantly towards our understanding of the evolution of natural populations, and their responses to climatic and anthropogenic perturbations. In this review, we discuss how genomic data have enhanced our understanding of physiological adaptations in bats (particularly related to ageing, immunity, diet, etc.), pathogen discovery, and host pathogen co-evolution. In comparison, the application of NGS towards population genomics, conservation, biodiversity assessment, and functional genomics has been appreciably slower. We reviewed the current areas of focus, identifying emerging topical research directions and providing a roadmap for future genomic studies in bats. Springer US 2023-05-08 /pmc/articles/PMC10166039/ /pubmed/37154841 http://dx.doi.org/10.1007/s00239-023-10107-2 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Review
Garg, Kritika M.
Lamba, Vinita
Sanyal, Avirup
Dovih, Pilot
Chattopadhyay, Balaji
Next Generation Sequencing Revolutionizes Organismal Biology Research in Bats
title Next Generation Sequencing Revolutionizes Organismal Biology Research in Bats
title_full Next Generation Sequencing Revolutionizes Organismal Biology Research in Bats
title_fullStr Next Generation Sequencing Revolutionizes Organismal Biology Research in Bats
title_full_unstemmed Next Generation Sequencing Revolutionizes Organismal Biology Research in Bats
title_short Next Generation Sequencing Revolutionizes Organismal Biology Research in Bats
title_sort next generation sequencing revolutionizes organismal biology research in bats
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166039/
https://www.ncbi.nlm.nih.gov/pubmed/37154841
http://dx.doi.org/10.1007/s00239-023-10107-2
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