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Phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis
Conservation efforts must be evidence-based, so rapid and economically feasible methods should be used to quantify diversity and distribution patterns. We have attempted to overcome current impediments to the gathering of biodiversity data by using integrative phylogenomic and three mtDNA fragment a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798050/ https://www.ncbi.nlm.nih.gov/pubmed/34927586 http://dx.doi.org/10.7554/eLife.71895 |
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author | Motyka, Michal Kusy, Dominik Bocek, Matej Bilkova, Renata Bocak, Ladislav |
author_facet | Motyka, Michal Kusy, Dominik Bocek, Matej Bilkova, Renata Bocak, Ladislav |
author_sort | Motyka, Michal |
collection | PubMed |
description | Conservation efforts must be evidence-based, so rapid and economically feasible methods should be used to quantify diversity and distribution patterns. We have attempted to overcome current impediments to the gathering of biodiversity data by using integrative phylogenomic and three mtDNA fragment analyses. As a model, we sequenced the Metriorrhynchini beetle fauna, sampled from ~700 localities in three continents. The species-rich dataset included ~6500 terminals, ~ 1850 putative species delimited at 5% uncorrected pairwise threshold, possibly ~1000 of them unknown to science. Neither type of data could alone answer our questions on biodiversity and phylogeny. The phylogenomic backbone enabled the integrative delimitation of robustly defined natural genus-group units that will inform future research. Using constrained mtDNA analysis, we identified the spatial structure of species diversity, very high species-level endemism, and a biodiversity hotspot in New Guinea. We suggest that focused field research and subsequent laboratory and bioinformatic workflow steps would substantially accelerate the inventorying of any hyperdiverse tropical group with several thousand species. The outcome would be a scaffold for the incorporation of further data from environmental sequencing and ecological studies. The database of sequences could set a benchmark for the spatiotemporal evaluation of biodiversity, would support evidence-based conservation planning, and would provide a robust framework for systematic, biogeographic, and evolutionary studies. |
format | Online Article Text |
id | pubmed-8798050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-87980502022-01-31 Phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis Motyka, Michal Kusy, Dominik Bocek, Matej Bilkova, Renata Bocak, Ladislav eLife Ecology Conservation efforts must be evidence-based, so rapid and economically feasible methods should be used to quantify diversity and distribution patterns. We have attempted to overcome current impediments to the gathering of biodiversity data by using integrative phylogenomic and three mtDNA fragment analyses. As a model, we sequenced the Metriorrhynchini beetle fauna, sampled from ~700 localities in three continents. The species-rich dataset included ~6500 terminals, ~ 1850 putative species delimited at 5% uncorrected pairwise threshold, possibly ~1000 of them unknown to science. Neither type of data could alone answer our questions on biodiversity and phylogeny. The phylogenomic backbone enabled the integrative delimitation of robustly defined natural genus-group units that will inform future research. Using constrained mtDNA analysis, we identified the spatial structure of species diversity, very high species-level endemism, and a biodiversity hotspot in New Guinea. We suggest that focused field research and subsequent laboratory and bioinformatic workflow steps would substantially accelerate the inventorying of any hyperdiverse tropical group with several thousand species. The outcome would be a scaffold for the incorporation of further data from environmental sequencing and ecological studies. The database of sequences could set a benchmark for the spatiotemporal evaluation of biodiversity, would support evidence-based conservation planning, and would provide a robust framework for systematic, biogeographic, and evolutionary studies. eLife Sciences Publications, Ltd 2021-12-20 /pmc/articles/PMC8798050/ /pubmed/34927586 http://dx.doi.org/10.7554/eLife.71895 Text en © 2021, Motyka et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Ecology Motyka, Michal Kusy, Dominik Bocek, Matej Bilkova, Renata Bocak, Ladislav Phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis |
title | Phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis |
title_full | Phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis |
title_fullStr | Phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis |
title_full_unstemmed | Phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis |
title_short | Phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis |
title_sort | phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis |
topic | Ecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798050/ https://www.ncbi.nlm.nih.gov/pubmed/34927586 http://dx.doi.org/10.7554/eLife.71895 |
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