4.7 Article

The first chromosome-level genome for a marine mammal as a resource to study ecology and evolution

期刊

MOLECULAR ECOLOGY RESOURCES
卷 19, 期 4, 页码 944-956

出版社

WILEY
DOI: 10.1111/1755-0998.13003

关键词

ancestral chromosomes; aquatic adaptations; genome assembly; genomics; proteomics; major histocompatibility complex; mammals; molecular evolution; sperm whale

资金

  1. Shenzhen Municipal Government of China Peacock Plan [KQTD20150330171505310]
  2. Guangdong Provincial Key Laboratory of Genome Read and Write [2017B030301011]

向作者/读者索取更多资源

Marine mammals are important models for studying convergent evolution and aquatic adaption, and thus reference genomes of marine mammals can provide evolutionary insights. Here, we present the first chromosome-level marine mammal genome assembly based on the data generated by the BGISEQ-500 platform, for a stranded female sperm whale (Physeter macrocephalus). Using this reference genome, we performed chromosome evolution analysis of the sperm whale, including constructing ancestral chromosomes, identifying chromosome rearrangement events and comparing with cattle chromosomes, which provides a resource for exploring marine mammal adaptation and speciation. We detected a high proportion of long interspersed nuclear elements and expanded gene families, and contraction of major histocompatibility complex region genes which were specific to sperm whale. Using comparisons with sheep and cattle, we analysed positively selected genes to identify gene pathways that may be related to adaptation to the marine environment. Further, we identified possible convergent evolution in aquatic mammals by testing for positively selected genes across three orders of marine mammals. In addition, we used publicly available resequencing data to confirm a rapid decline in global population size in the Pliocene to Pleistocene transition. This study sheds light on the chromosome evolution and genetic mechanisms underpinning sperm whale adaptations, providing valuable resources for future comparative genomics.

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