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A metaanalysis of bat phylogenetics and positive selection based on genomes and transcriptomes from 18 species
- Source :
- Proceedings of the National Academy of Sciences of the United States of America, Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences of the United States of America, 116(23):11351-11360
- Publication Year :
- 2019
-
Abstract
- Significance This work represents a large, order-wide evolutionary analysis of the order Chiroptera (bats). Our pipeline for assembling sequence data and curating orthologous multiple sequence alignments includes methods for improving results when combining genomic and transcriptomic data sources. The resulting phylogenetic tree divides the order Chiroptera into Yinpterochiroptera and Yangochiroptera, in disagreement with the previous division into Megachiroptera and Microchiroptera and in agreement with some other recent molecular studies, and also provides evidence for other contested branch placements. We also performed a genome-wide analysis of positive selection and found 181 genes with signatures of positive selection. Enrichment analysis shows these positively selected genes to be primarily related to immune responses but also, surprisingly, collagen formation.<br />Historically, the evolution of bats has been analyzed using a small number of genetic loci for many species or many genetic loci for a few species. Here we present a phylogeny of 18 bat species, each of which is represented in 1,107 orthologous gene alignments used to build the tree. We generated a transcriptome sequence of Hypsignathus monstrosus, the African hammer-headed bat, and additional transcriptome sequence for Rousettus aegyptiacus, the Egyptian fruit bat. We then combined these data with existing genomic and transcriptomic data from 16 other bat species. In the analysis of such datasets, there is no clear consensus on the most reliable computational methods for the curation of quality multiple sequence alignments since these public datasets represent multiple investigators and methods, including different source materials (chromosomal DNA or expressed RNA). Here we lay out a systematic analysis of parameters and produce an advanced pipeline for curating orthologous gene alignments from combined transcriptomic and genomic data, including a software package: the Mismatching Isoform eXon Remover (MIXR). Using this method, we created alignments of 11,677 bat genes, 1,107 of which contain orthologs from all 18 species. Using the orthologous gene alignments created, we assessed bat phylogeny and also performed a holistic analysis of positive selection acting in bat genomes. We found that 181 genes have been subject to positive natural selection. This list is dominated by genes involved in immune responses and genes involved in the production of collagens.
- Subjects :
- 0106 biological sciences
animal structures
Coronaviridae
Evolution
Computational biology
Biology
010603 evolutionary biology
01 natural sciences
Genome
virus-host
Transcriptome
03 medical and health sciences
Exon
Phylogenetics
pathogen-host
Chiroptera
Animals
biotic relations
Amino Acid Sequence
Viridae
Selection, Genetic
Gene
Phylogeny
030304 developmental biology
0303 health sciences
Natural selection
Multidisciplinary
biotic associations
corona viruses
covid
pathogens
Biological Sciences
biology.organism_classification
biotic interaction
phylogenetics
covid-19
PNAS Plus
orthologous genes
Hypsignathus monstrosus
transcriptome
gene alignment
Coronavirus
Sequence Alignment
Orthologous Gene
CETAF-taskforce
Genome-Wide Association Study
Subjects
Details
- ISSN :
- 10916490
- Volume :
- 116
- Issue :
- 23
- Database :
- OpenAIRE
- Journal :
- Proceedings of the National Academy of Sciences of the United States of America
- Accession number :
- edsair.doi.dedup.....e7f3f55f6e20cc78f0d38cd218c4fe49