Myotis rufoniger genome sequence and analyses: M. rufoniger's genomic feature and the decreasing effective population size of Myotis bats

PLoS One. 2017 Jul 5;12(7):e0180418. doi: 10.1371/journal.pone.0180418. eCollection 2017.

Abstract

Myotis rufoniger is a vesper bat in the genus Myotis. Here we report the whole genome sequence and analyses of the M. rufoniger. We generated 124 Gb of short-read DNA sequences with an estimated genome size of 1.88 Gb at a sequencing depth of 66× fold. The sequences were aligned to M. brandtii bat reference genome at a mapping rate of 96.50% covering 95.71% coding sequence region at 10× coverage. The divergence time of Myotis bat family is estimated to be 11.5 million years, and the divergence time between M. rufoniger and its closest species M. davidii is estimated to be 10.4 million years. We found 1,239 function-altering M. rufoniger specific amino acid sequences from 929 genes compared to other Myotis bat and mammalian genomes. The functional enrichment test of the 929 genes detected amino acid changes in melanin associated DCT, SLC45A2, TYRP1, and OCA2 genes possibly responsible for the M. rufoniger's red fur color and a general coloration in Myotis. N6AMT1 gene, associated with arsenic resistance, showed a high degree of function alteration in M. rufoniger. We further confirmed that the M. rufoniger also has bat-specific sequences within FSHB, GHR, IGF1R, TP53, MDM2, SLC45A2, RGS7BP, RHO, OPN1SW, and CNGB3 genes that have already been published to be related to bat's reproduction, lifespan, flight, low vision, and echolocation. Additionally, our demographic history analysis found that the effective population size of Myotis clade has been consistently decreasing since ~30k years ago. M. rufoniger's effective population size was the lowest in Myotis bats, confirming its relatively low genetic diversity.

MeSH terms

  • Amino Acid Substitution
  • Animals
  • Chiroptera / classification
  • Chiroptera / genetics*
  • Genetic Variation
  • Genome*
  • Mutation
  • Phylogeny

Grants and funding

This work was supported by ‘the bioinformatics marker discovery analysis system using genomic big data’ Research Fund (1.150014.01) of Ulsan National Institute of Science & Technology (UNIST). It was also supported by ‘Software Convergence Technology Development Program’ through the Ministry of Science, ICT and Future Planning (S0503-17-1007), PGI of Genome Research Foundation internal research fund, a grant (NIBR201603103) from the National Institute of Biological Resources funded by the Ministry of Environment, Republic of Korea, and Ulsan city's Genome Korea Project. Geromics Inc. provided support in the form of salaries for OC, JHJ, and JB, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.