한빛사논문
Abstract
Soonok Kim1†, Yun Sung Cho2,3,4†, Hak-Min Kim2,3†, Oksung Chung4, Hyunho Kim5, Sungwoong Jho4, Hong Seomun6, Jeongho Kim7, Woo Young Bang1, Changmu Kim1, Junghwa An6, Chang Hwan Bae1, Youngjune Bhak2, Sungwon Jeon2,3, Hyejun Yoon2,3, Yumi Kim2, JeHoon Jun4,5, HyeJin Lee4,5, Suan Cho4,5, Olga Uphyrkina8, Aleksey Kostyria8, John Goodrich9, Dale Miquelle10,11, Melody Roelke12, John Lewis13, Andrey Yurchenko14, Anton Bankevich15, Juok Cho16, Semin Lee2,3,17, Jeremy S. Edwards18, Jessica A. Weber19, Jo Cook20, Sangsoo Kim21, Hang Lee22, Andrea Manica23, Ilbeum Lee24, Stephen J. O’Brien14,25*, Jong Bhak2,3,4,5* and Joo-Hong Yeo1*
1Biological and Genetic Resources Assessment Division, National Institute of Biological Resources, Incheon 22689, Republic of Korea. 2The Genomics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea. 3Department of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea. 4Personal Genomics Institute, Genome Research Foundation, Cheongju 28160, Republic of Korea. 5Geromics, Ulsan 44919, Republic of Korea. 6Animal Resources Division, National Institute of Biological Resources, Incheon 22689, Republic of Korea. 7Cheongju Zoo, Cheongju 28311, Republic of Korea. 8Institute of Biology & Soil Science, Far Eastern Branch of Russian Academy of Sciences, Vladivostok 690022, Russia. 9Panthera, New York, NY 10018, USA. 10Wildlife Conservation Society, 2300 Southern Boulevard, Bronx, NY 10460, USA. 11Department of Ecology, Far Eastern Federal University, Ayaks, Russki Island, Vladivostok 690950, Russia. 12Laboratory of Animal Sciences Program, Leidos Biomedical Research Inc., Frederick National Laboratory, Frederick, MD 21702, USA. 13International Zoo Veterinary Group (UK) IZVG LLP, Station House, Parkwood Street, Keighley BD21 4NQ, UK. 14Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg 199004, Russia. 15Center for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia. 16Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. 17Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA. 18Chemistry and Chemical Biology, UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM 87131, USA. 19Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA. 20Zoological Society of London, London NW1 4RY, UK. 21Department of Bioinformatics & Life Science, Soongsil University, Seoul 06978, Republic of Korea. 22Conservation Genome Resource Bank for Korean Wildlife, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea. 23Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK. 24Daejeon O-World, Daejeon 35073, Republic of Korea. 25Oceanographic Center 8000 N. Ocean Drive, Nova Southeastern University, Ft Lauderdale, FL 33004, USA.
†Equal contributors
* Correspondence : Stephen J. O’Brien, Jong Bhak, Joo-Hong Yeo
Abstract
Background
There are three main dietary groups in mammals: carnivores, omnivores, and herbivores. Currently, there is limited comparative genomics insight into the evolution of dietary specializations in mammals. Due to recent advances in sequencing technologies, we were able to perform in-depth whole genome analyses of representatives of these three dietary groups.
Results
We investigated the evolution of carnivory by comparing 18 representative genomes from across Mammalia with carnivorous, omnivorous, and herbivorous dietary specializations, focusing on Felidae (domestic cat, tiger, lion, cheetah, and leopard), Hominidae, and Bovidae genomes. We generated a new high-quality leopard genome assembly, as well as two wild Amur leopard whole genomes. In addition to a clear contraction in gene families for starch and sucrose metabolism, the carnivore genomes showed evidence of shared evolutionary adaptations in genes associated with diet, muscle strength, agility, and other traits responsible for successful hunting and meat consumption. Additionally, an analysis of highly conserved regions at the family level revealed molecular signatures of dietary adaptation in each of Felidae, Hominidae, and Bovidae. However, unlike carnivores, omnivores and herbivores showed fewer shared adaptive signatures, indicating that carnivores are under strong selective pressure related to diet. Finally, felids showed recent reductions in genetic diversity associated with decreased population sizes, which may be due to the inflexible nature of their strict diet, highlighting their vulnerability and critical conservation status.
Conclusions
Our study provides a large-scale family level comparative genomic analysis to address genomic changes associated with dietary specialization. Our genomic analyses also provide useful resources for diet-related genetic and health research.
Keywords : Carnivorous diet, Evolutionary adaptation, Leopard, Felidae, De novo assembly, Comparative genomics
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