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Liang Z, Yue X, Liu Y, Ye M, Zhong L, Luan Y, Wang Q. Genome-Wide Identification of Specific Genetic Loci Common to Sheep and Goat. Biomolecules 2024; 14:638. [PMID: 38927042 PMCID: PMC11201639 DOI: 10.3390/biom14060638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/24/2024] [Accepted: 05/01/2024] [Indexed: 06/28/2024] Open
Abstract
Sheep and goat may become carriers of some zoonotic diseases. They are important livestock and experimental model animals for human beings. The fast and accurate identification of genetic materials originating from sheep and goat can prevent and inhibit the spread of some zoonotic diseases, monitor market product quality, and maintain the stability of animal husbandry and food industries. This study proposed a methodology for identifying sheep and goat common specific sites from a genome-wide perspective. A total of 150 specific sites were selected from three data sources, including the coding sequences of single copy genes from nine species (sheep, goat, cow, pig, dog, horse, human, mouse, and chicken), the dbSNPs for these species, and human 100-way alignment data. These 150 sites exhibited low intraspecific heterogeneity in the resequencing data of 1450 samples from five species (sheep, goat, cow, pig, and chicken) and high interspecific divergence in the human 100-way alignment data after quality control. The results were proven to be reliable at the data level. Using the process proposed in this study, specific sites of other species can be screened, and genome-level species identification can be performed using the screened sites.
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Affiliation(s)
- Zuoxiang Liang
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
- Department of Animal Science, University of Minnesota, Saint Paul, MN 55108, USA
| | - Xiaoyu Yue
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Yangxiu Liu
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Mengyan Ye
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Ling Zhong
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Yue Luan
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Qin Wang
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
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2
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Wu H, Zhang Y, Li Y, Sun S, Zhang J, Xie Q, Dong Y, Zhou S, Sha X, Li K, Chen J, Zhang X, Gao Y, Shen Q, Wang G, Zha X, Duan Z, Tang D, Xu C, Geng H, Lv M, Xu Y, Zhou P, Wei Z, Hua R, Cao Y, Liu M, He X. Adenylate kinase phosphate energy shuttle underlies energetic communication in flagellar axonemes. SCIENCE CHINA. LIFE SCIENCES 2024:10.1007/s11427-023-2539-1. [PMID: 38761355 DOI: 10.1007/s11427-023-2539-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/29/2024] [Indexed: 05/20/2024]
Abstract
The complexities of energy transfer mechanisms in the flagella of mammalian sperm flagella have been intensively investigated and demonstrate significant diversity across species. Enzymatic shuttles, particularly adenylate kinase (AK) and creatine kinase (CK), are pivotal in the efficient transfer of intracellular ATP, showing distinct tissue- and species-specificity. Here, the expression profiles of AK and CK were investigated in mice and found to fall into four subgroups, of which Subgroup III AKs were observed to be unique to the male reproductive system and conserved across chordates. Both AK8 and AK9 were found to be indispensable to male reproduction after analysis of an infertile male cohort. Knockout mouse models showed that AK8 and AK9 were central to promoting sperm motility. Immunoprecipitation combined with mass spectrometry revealed that AK8 and AK9 interact with the radial spoke (RS) of the axoneme. Examination of various human and mouse sperm samples with substructural damage, including the presence of multiple RS subunits, showed that the head of radial spoke 3 acts as an adapter for AK9 in the flagellar axoneme. Using an ATP probe together with metabolomic analysis, it was found that AK8 and AK9 cooperatively regulated ATP transfer in the axoneme, and were concentrated at sites associated with energy consumption in the flagellum. These findings indicate a novel function for RS beyond its structural role, namely, the regulation of ATP transfer. In conclusion, the results expand the functional spectrum of AK proteins and suggest a fresh model regarding ATP transfer within mammalian flagella.
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Affiliation(s)
- Huan Wu
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, 230032, China
| | - Yanman Zhang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, 210029, China
| | - Yuqian Li
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Shuya Sun
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, 210029, China
| | - Jintao Zhang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Clinical Center of Reproductive Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Qingsong Xie
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Yue Dong
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, 210029, China
| | - Shushu Zhou
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, 230032, China
- Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, Hefei, 230032, China
| | - Xuan Sha
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Kuokuo Li
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, 230032, China
- Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, Hefei, 230032, China
| | - Jinyi Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, 210029, China
| | - Xin Zhang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, 210029, China
| | - Yang Gao
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, 230032, China
- Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, Hefei, 230032, China
| | - Qunshan Shen
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, 230032, China
- Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, Hefei, 230032, China
| | - Guanxiong Wang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Xiaomin Zha
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, 230032, China
| | - Zongliu Duan
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, 230032, China
| | - Dongdong Tang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, 230032, China
| | - Chuan Xu
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, 230032, China
| | - Hao Geng
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, 230032, China
| | - Mingrong Lv
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, 230032, China
- Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, Hefei, 230032, China
| | - Yuping Xu
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, 230032, China
- Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, Hefei, 230032, China
| | - Ping Zhou
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, 230032, China
- Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, Hefei, 230032, China
| | - Zhaolian Wei
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, 230032, China
- Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, Hefei, 230032, China
| | - Rong Hua
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, China.
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, 230032, China.
- Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, 230032, China.
| | - Yunxia Cao
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, China.
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, 230032, China.
| | - Mingxi Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Nanjing, 211166, China.
| | - Xiaojin He
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, China.
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Ascanelli C, Dahir R, Wilson CH. Manipulating Myc for reparative regeneration. Front Cell Dev Biol 2024; 12:1357589. [PMID: 38577503 PMCID: PMC10991803 DOI: 10.3389/fcell.2024.1357589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 02/15/2024] [Indexed: 04/06/2024] Open
Abstract
The Myc family of proto-oncogenes is a key node for the signal transduction of external pro-proliferative signals to the cellular processes required for development, tissue homoeostasis maintenance, and regeneration across evolution. The tight regulation of Myc synthesis and activity is essential for restricting its oncogenic potential. In this review, we highlight the central role that Myc plays in regeneration across the animal kingdom (from Cnidaria to echinoderms to Chordata) and how Myc could be employed to unlock the regenerative potential of non-regenerative tissues in humans for therapeutic purposes. Mastering the fine balance of harnessing the ability of Myc to promote transcription without triggering oncogenesis may open the door to many exciting opportunities for therapeutic development across a wide array of diseases.
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Affiliation(s)
| | | | - Catherine H. Wilson
- Department of Pharmacology, University of Cambridge, Cambridge, United Kingdom
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4
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Shi M, Chen F, Sahu SK, Wang Q, Yang S, Wang Z, Chen J, Liu H, Hou Z, Fang SG, Lan T. Haplotype-resolved chromosome-scale genomes of the Asian and African Savannah Elephants. Sci Data 2024; 11:63. [PMID: 38212399 PMCID: PMC10784532 DOI: 10.1038/s41597-023-02729-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 11/07/2023] [Indexed: 01/13/2024] Open
Abstract
The Proboscidea, which includes modern elephants, were once the largest terrestrial animals among extant species. They suffered mass extinction during the Ice Age. As a unique branch on the evolutionary tree, the Proboscidea are of great significance for the study of living animals. In this study, we generate chromosome-scale and haplotype-resolved genome assemblies for two extant Proboscidea species (Asian Elephant, Elephas maximus and African Savannah Elephant, Loxodonta africana) using Pacbio, Hi-C, and DNBSEQ technologies. The assembled genome sizes of the Asian and African Savannah Elephant are 3.38 Gb and 3.31 Gb, with scaffold N50 values of 130 Mb and 122 Mb, respectively. Using Hi-C technology ~97% of the scaffolds are anchored to 29 pseudochromosomes. Additionally, we identify ~9 Mb Y-linked sequences for each species. The high-quality genome assemblies in this study provide a valuable resource for future research on ecology, evolution, biology and conservation of Proboscidea species.
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Affiliation(s)
- Minhui Shi
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150040, China
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fei Chen
- Southwest Survey and Planning Institute of National Forestry and Grassland Administration, Kunming, 650031, China
- Asian Elephant Research Center of National Forestry and Grassland Administration, Kunming, 650031, China
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Qing Wang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Shangchen Yang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zhihong Wang
- Southwest Survey and Planning Institute of National Forestry and Grassland Administration, Kunming, 650031, China
- Asian Elephant Research Center of National Forestry and Grassland Administration, Kunming, 650031, China
| | - Jin Chen
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
- China National GeneBank, BGI Research, Shenzhen, 518083, China
| | - Huan Liu
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150040, China
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Zhijun Hou
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, 150040, China
| | - Sheng-Guo Fang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
| | - Tianming Lan
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150040, China.
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China.
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, 150040, China.
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5
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Shen X, Hu J, Yáñez JM, Bastos Gomes G, Poon ZWJ, Foster D, Alarcon JF, Shao L, Guo X, Shao Y, Huerlimann R, Li C, Goulden E, Anderson K, Fan G, Domingos JA. Exploring the cobia (Rachycentron canadum) genome: unveiling putative male heterogametic regions and identification of sex-specific markers. Gigascience 2024; 13:giae034. [PMID: 38995143 PMCID: PMC11240236 DOI: 10.1093/gigascience/giae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 04/19/2024] [Accepted: 05/22/2024] [Indexed: 07/13/2024] Open
Abstract
BACKGROUND Cobia (Rachycentron canadum) is the only member of the Rachycentridae family and exhibits considerable sexual dimorphism in growth rate. Sex determination in teleosts has been a long-standing basic biological question, and the molecular mechanisms of sex determination/differentiation in cobia are completely unknown. RESULTS Here, we reported 2 high-quality, chromosome-level annotated male and female cobia genomes with assembly sizes of 586.51 Mb (contig/scaffold N50: 86.0 kb/24.3 Mb) and 583.88 Mb (79.9 kb/22.5 Mb), respectively. Synteny inference among perciform genomes revealed that cobia and the remora Echeneis naucrates were sister groups. Further, whole-genome resequencing of 31 males and 60 females, genome-wide association study, and sequencing depth analysis identified 3 short male-specific regions within a 10.7-kb continuous genomic region on male chromosome 18, which hinted at an undifferentiated sex chromosome system with a putative XX/XY mode of sex determination in cobia. Importantly, the only 2 genes within/between the male-specific regions, epoxide hydrolase 1 (ephx1, renamed cephx1y) and transcription factor 24 (tcf24, renamed ctcf24y), showed testis-specific/biased gene expression, whereas their counterparts cephx1x and ctf24x, located in female chromosome 18, were similarly expressed in both sexes. In addition, male-specific PCR targeting the cephx1y gene revealed that this genomic feature is conserved in cobia populations from Panama, Brazil, Australia, and Japan. CONCLUSION The first comprehensive genomic survey presented here is a valuable resource for future studies on cobia population structure and dynamics, conservation, and evolutionary history. Furthermore, it establishes evidence of putative male heterogametic regions with 2 genes playing a potential role in the sex determination of the species, and it provides further support for the rapid evolution of sex-determining mechanisms in teleost fish.
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Affiliation(s)
- Xueyan Shen
- Tropical Futures Institute, James Cook University Singapore, 387380, Singapore
| | - Jie Hu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - José M Yáñez
- Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, 8820808 Santiago, Chile
| | - Giana Bastos Gomes
- Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, 117604, Singapore
| | | | | | | | - Libin Shao
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - Xinyu Guo
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - Yunchang Shao
- China National GeneBank, BGI-Shenzhen, Shenzhen, Guangdong 518120, China
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao 999078, China
- Geogia Tech Shenzhen Institute (GTSI), Tianjin University, Shen Zhen 518067, China
| | - Roger Huerlimann
- Marine Climate Change Unit, Okinawa Institute of Science and Technology (OIST), Okinawa, 904-0495, Japan
| | - Chengze Li
- Marine Climate Change Unit, Okinawa Institute of Science and Technology (OIST), Okinawa, 904-0495, Japan
| | - Evan Goulden
- Department of Agriculture and Fisheries, Queensland Government, Bribie Island Research Centre, Woorim, QLD 4507, Australia
| | - Kelli Anderson
- Department of Agriculture and Fisheries, Queensland Government, Bribie Island Research Centre, Woorim, QLD 4507, Australia
| | - Guangyi Fan
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, Guangdong 518120, China
- BGI-Shenzhen, Shenzhen, Guangdong 518083, China
| | - Jose A Domingos
- Tropical Futures Institute, James Cook University Singapore, 387380, Singapore
- Centre for Sustainable Tropical Fisheries and Aquaculture, James Cook University, Townsville QLD 4811, Australia
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6
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Scala M, Bradley CA, Howe JL, Trost B, Salazar NB, Shum C, Reuter MS, MacDonald JR, Ko SY, Frankland PW, Granger L, Anadiotis G, Pullano V, Brusco A, Keller R, Parisotto S, Pedro HF, Lusk L, McDonnell PP, Helbig I, Mullegama SV, Douine ED, Russell BE, Nelson SF, Zara F, Scherer SW. Genetic variants in DDX53 contribute to Autism Spectrum Disorder associated with the Xp22.11 locus. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.21.23300383. [PMID: 38234782 PMCID: PMC10793518 DOI: 10.1101/2023.12.21.23300383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Autism Spectrum Disorder (ASD) exhibits an ~4:1 male-to-female sex bias and is characterized by early-onset impairment of social/communication skills, restricted interests, and stereotyped behaviors. Disruption of the Xp22.11 locus has been associated with ASD in males. This locus includes the three-exon PTCHD1 gene, an adjacent multi-isoform long noncoding RNA (lncRNA) named PTCHD1-AS (spanning ~1Mb), and a poorly characterized single-exon RNA helicase named DDX53 that is intronic to PTCHD1-AS. While the relationship between PTCHD1/PTCHD1-AS and ASD is being studied, the role of DDX53 has not been examined, in part because there is no apparent functional murine orthologue. Through clinical testing, here, we identified 6 males and 1 female with ASD from 6 unrelated families carrying rare, predicted-damaging or loss-of-function variants in DDX53. Then, we examined databases, including the Autism Speaks MSSNG and Simons Foundation Autism Research Initiative, as well as population controls. We identified 24 additional individuals with ASD harboring rare, damaging DDX53 variations, including the same variants detected in two families from the original clinical analysis. In this extended cohort of 31 participants with ASD (28 male, 3 female), we identified 25 mostly maternally-inherited variations in DDX53, including 18 missense changes, 2 truncating variants, 2 in-frame variants, 2 deletions in the 3' UTR and 1 copy number deletion. Our findings in humans support a direct link between DDX53 and ASD, which will be important in clinical genetic testing. These same autism-related findings, coupled with the observation that a functional orthologous gene is not found in mouse, may also influence the design and interpretation of murine-modelling of ASD.
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Affiliation(s)
- Marcello Scala
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
- UOC Genetica Medica, IRCCS Giannina Gaslini, Genoa, Italy
| | - Clarrisa A. Bradley
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Program in Neurosciences and Mental Health, The Hospital for Sick Children and Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Jennifer L. Howe
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Brett Trost
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Nelson Bautista Salazar
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Carole Shum
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Miriam S. Reuter
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Jeffrey R. MacDonald
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Sangyoon Y. Ko
- Program in Neurosciences and Mental Health, The Hospital for Sick Children and Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Paul W. Frankland
- Program in Neurosciences and Mental Health, The Hospital for Sick Children and Department of Physiology, University of Toronto, Toronto, Ontario, Canada
- Department of Psychology and Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Leslie Granger
- Department of Genetics and Metabolism, Randall Children’s Hospital, Portland, OR 97227, USA
| | - George Anadiotis
- Department of Genetics and Metabolism, Randall Children’s Hospital, Portland, OR 97227, USA
| | - Verdiana Pullano
- Department of Medical Sciences, University of Torino, Torino, Italy
| | - Alfredo Brusco
- Department of Neurosciences Rita Levi-Montalcini, University of Turin, 10126 Turin, Italy
- Medical Genetics Unit, Città della Salute e della Scienza University Hospital, Torino, Italy
| | - Roberto Keller
- Adult Autism Centre DSM ASL Città di Torino, 10138 Turin, Italy
| | - Sarah Parisotto
- Center for Genetic and Genomic Medicine, Hackensack University Medical Center, Hackensack, New Jersey, USA
| | - Helio F. Pedro
- Center for Genetic and Genomic Medicine, Hackensack University Medical Center, Hackensack, New Jersey, USA
| | - Laina Lusk
- Epilepsy Neurogenetics Initiative, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Biomedical and Health Informatics (DBHi), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Pamela Pojomovsky McDonnell
- Epilepsy Neurogenetics Initiative, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ingo Helbig
- Epilepsy Neurogenetics Initiative, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Biomedical and Health Informatics (DBHi), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | | | - Emilie D. Douine
- Department of Human Genetics, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
| | - Bianca E. Russell
- Department of Human Genetics, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
| | - Stanley F. Nelson
- Department of Human Genetics, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
| | - Federico Zara
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
- UOC Genetica Medica, IRCCS Giannina Gaslini, Genoa, Italy
| | - Stephen W. Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- McLaughlin Centre, Toronto, ON M5G 0A4, Canada
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7
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Nestor BJ, Bayer PE, Fernandez CGT, Edwards D, Finnegan PM. Approaches to increase the validity of gene family identification using manual homology search tools. Genetica 2023; 151:325-338. [PMID: 37817002 PMCID: PMC10692271 DOI: 10.1007/s10709-023-00196-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/01/2023] [Indexed: 10/12/2023]
Abstract
Identifying homologs is an important process in the analysis of genetic patterns underlying traits and evolutionary relationships among species. Analysis of gene families is often used to form and support hypotheses on genetic patterns such as gene presence, absence, or functional divergence which underlie traits examined in functional studies. These analyses often require precise identification of all members in a targeted gene family. Manual pipelines where homology search and orthology assignment tools are used separately are the most common approach for identifying small gene families where accurate identification of all members is important. The ability to curate sequences between steps in manual pipelines allows for simple and precise identification of all possible gene family members. However, the validity of such manual pipeline analyses is often decreased by inappropriate approaches to homology searches including too relaxed or stringent statistical thresholds, inappropriate query sequences, homology classification based on sequence similarity alone, and low-quality proteome or genome sequences. In this article, we propose several approaches to mitigate these issues and allow for precise identification of gene family members and support for hypotheses linking genetic patterns to functional traits.
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Affiliation(s)
- Benjamin J Nestor
- School of Biological Sciences, University of Western Australia, Perth, WA, 6009, Australia.
- Centre for Applied Bioinformatics, University of Western Australia, Perth, WA, 6009, Australia.
| | - Philipp E Bayer
- School of Biological Sciences, University of Western Australia, Perth, WA, 6009, Australia
- Centre for Applied Bioinformatics, University of Western Australia, Perth, WA, 6009, Australia
| | - Cassandria G Tay Fernandez
- School of Biological Sciences, University of Western Australia, Perth, WA, 6009, Australia
- Centre for Applied Bioinformatics, University of Western Australia, Perth, WA, 6009, Australia
| | - David Edwards
- School of Biological Sciences, University of Western Australia, Perth, WA, 6009, Australia
- Centre for Applied Bioinformatics, University of Western Australia, Perth, WA, 6009, Australia
| | - Patrick M Finnegan
- School of Biological Sciences, University of Western Australia, Perth, WA, 6009, Australia
- Centre for Applied Bioinformatics, University of Western Australia, Perth, WA, 6009, Australia
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8
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Liu Y, Liu S, Tomar A, Yen FS, Unlu G, Ropek N, Weber RA, Wang Y, Khan A, Gad M, Peng J, Terzi E, Alwaseem H, Pagano AE, Heissel S, Molina H, Allwein B, Kenny TC, Possemato RL, Zhao L, Hite RK, Vinogradova EV, Mansy SS, Birsoy K. Autoregulatory control of mitochondrial glutathione homeostasis. Science 2023; 382:820-828. [PMID: 37917749 PMCID: PMC11170550 DOI: 10.1126/science.adf4154] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 10/18/2023] [Indexed: 11/04/2023]
Abstract
Mitochondria must maintain adequate amounts of metabolites for protective and biosynthetic functions. However, how mitochondria sense the abundance of metabolites and regulate metabolic homeostasis is not well understood. In this work, we focused on glutathione (GSH), a critical redox metabolite in mitochondria, and identified a feedback mechanism that controls its abundance through the mitochondrial GSH transporter, SLC25A39. Under physiological conditions, SLC25A39 is rapidly degraded by mitochondrial protease AFG3L2. Depletion of GSH dissociates AFG3L2 from SLC25A39, causing a compensatory increase in mitochondrial GSH uptake. Genetic and proteomic analyses identified a putative iron-sulfur cluster in the matrix-facing loop of SLC25A39 as essential for this regulation, coupling mitochondrial iron homeostasis to GSH import. Altogether, our work revealed a paradigm for the autoregulatory control of metabolic homeostasis in organelles.
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Affiliation(s)
- Yuyang Liu
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Shanshan Liu
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Anju Tomar
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
- Department of Cellular, Computational and Integrative Biology, Università di Trento, Trento, TN, Italy
| | - Frederick S. Yen
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Gokhan Unlu
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Nathalie Ropek
- Laboratory of Chemical Immunology and Proteomics, The Rockefeller University, New York, NY, USA
| | - Ross A. Weber
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Ying Wang
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Artem Khan
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Mark Gad
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
- Structural Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Junhui Peng
- Laboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY, USA
| | - Erdem Terzi
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
| | - Hanan Alwaseem
- The Proteomics Resource Center, The Rockefeller University, New York, NY, USA
| | - Alexandra E. Pagano
- The Proteomics Resource Center, The Rockefeller University, New York, NY, USA
| | - Søren Heissel
- The Proteomics Resource Center, The Rockefeller University, New York, NY, USA
| | - Henrik Molina
- The Proteomics Resource Center, The Rockefeller University, New York, NY, USA
| | - Benjamin Allwein
- Structural Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Timothy C. Kenny
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Richard L. Possemato
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
| | - Li Zhao
- Laboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY, USA
| | - Richard K. Hite
- Structural Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Sheref S. Mansy
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Kıvanç Birsoy
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
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9
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Yang X, Song Y, Zhang R, Yu M, Guo X, Guo H, Du X, Sun S, Li C, Mao X, Fan G, Liu X. Unravelling the genomic features, phylogeny and genetic basis of tooth ontogenesis in Characiformes through analysis of four genomes. DNA Res 2023; 30:dsad022. [PMID: 37788574 PMCID: PMC10590162 DOI: 10.1093/dnares/dsad022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 09/27/2023] [Accepted: 10/02/2023] [Indexed: 10/05/2023] Open
Abstract
Characiformes is a diverse and evolutionarily significant order of freshwater fish encompassing over 2,300 species. Despite its diversity, our understanding of Characiformes' evolutionary relationships and adaptive mechanisms is limited due to insufficient genome sequences. In this study, we sequenced and assembled the genomes of four Characiformes species, three of which were chromosome-level assemblies. Our analyses revealed dynamic changes in gene family evolution, repeat sequences and variations in chromosomal collinearity within these genomes. With the assembled genomes, we were not only able to elucidate the evolutionary relationship of the four main orders in Otophysi but also indicated Characiformes as the paraphyletic group. Comparative genomic analysis with other available fish genomes shed light on the evolution of genes related to tooth development in Characiformes. Notably, variations in the copy number of secretory calcium-binding phosphoproteins (SCPP) genes were observed among different orders of Otophysi, indicating their potential contribution to the diversity of tooth types. Our study offers invaluable genome sequences and novel insights into Characiformes' evolution, paving the way for further genomic and evolutionary research in fish.
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Affiliation(s)
- Xianwei Yang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yue Song
- BGI Research, Qingdao 266555, China
| | | | | | | | | | - Xiao Du
- BGI Research, Qingdao 266555, China
- BGI Research, Shenzhen 518083, China
| | - Shuai Sun
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Qingdao 266555, China
| | | | | | - Guangyi Fan
- BGI Research, Qingdao 266555, China
- BGI Research, Shenzhen 518083, China
| | - Xin Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Shenzhen 518083, China
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10
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Zhang S, Song Y, Liu M, Yuan Z, Zhang M, Zhang H, Seim I, Fan G, Liu S, Liu X. Chromosome-level genome of butterflyfish unveils genomic features of unique colour patterns and morphological traits. DNA Res 2023; 30:dsad018. [PMID: 37590994 PMCID: PMC10468729 DOI: 10.1093/dnares/dsad018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/06/2023] [Accepted: 08/17/2023] [Indexed: 08/19/2023] Open
Abstract
Chaetodontidae, known as butterflyfishes, are typical fish in coral ecosystems, exhibiting remarkable interspecific differences including body colour patterns and feeding ecology. In this study, we report genomes of three butterflyfish species (Chelmon rostratus, Chaetodon trifasciatus and Chaetodon auriga) and a closely related species from the Pomacanthidae family, Centropyge bicolour, with an average genome size of 65,611 Mb. Chelmon rostratus, comprising 24 chromosomes assembled to the chromosome level, could be served as a reference genome for butterflyfish. By conducting a collinearity analysis between butterflyfishes and several fishes, we elucidated the specific and conserved genomic features of butterflyfish, with particular emphasis on novel genes arising from tandem duplications and their potential functions. In addition to the two melanocyte-specific tyr genes commonly found in fish, we found the gene tyrp3, a new tyrosinase-related proteins gene in the reef fish, including butterflyfish and clownfish, implicating their involvement in the pigmentation diversity of fish. Additionally, we observed a tandem duplication expansion of three copies of nell1 gene in C. rostratus genome, which likely contribute to its unique jaw development and distinctive morphology of its sharp mouth. These results provided valuable genomic resources for further investigations into the genetic diversity and evolutionary adaptations of reef fish.
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Affiliation(s)
- Suyu Zhang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Yue Song
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Meiru Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Zengbao Yuan
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Mengqi Zhang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - He Zhang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Inge Seim
- Integrative Biology Laboratory, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
- Comparative and Endocrine Biology Laboratory, Translational Research Institute-Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane 4102, Queensland, Australia
| | - Guangyi Fan
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Shanshan Liu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Xin Liu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
- BGI-Shenzhen, Shenzhen 518083, China
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11
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Song H, Li Z, Yang M, Shi P, Yu Z, Hu Z, Zhou C, Hu P, Zhang T. Chromosome-level genome assembly of the caenogastropod snail Rapana venosa. Sci Data 2023; 10:539. [PMID: 37587134 PMCID: PMC10432487 DOI: 10.1038/s41597-023-02459-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 08/09/2023] [Indexed: 08/18/2023] Open
Abstract
The carnivorous gastropod Rapana venosa (Valenciennes, 1846) is one of the most notorious ecological invaders worldwide. Here, we present the first high-quality chromosome-scale reference R. venosa genome obtained via PacBio sequencing, Illumina paired-end sequencing, and high-throughput chromosome conformation capture scaffolding. The assembled genome has a size of 2.30 Gb, with a scaffold N50 length of 64.63 Mb, and is anchored to 35 chromosomes. It contains 29,649 protein-coding genes, 77.22% of which were functionally annotated. Given its high heterozygosity (1.41%) and large proportion of repeat sequences (57.72%), it is one of the most complex genome assemblies. This chromosome-level genome assembly of R. venosa is an important resource for understanding molluscan evolutionary adaption and provides a genetic basis for its biological invasion control.
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Grants
- This research was supported by the National Natural Science Foundation of China (Grant No. 32002409, 42206086, 31972814, and 32002374), the China Postdoctoral Science Foundation (Grant No. 2021M703248), the China Agriculture Research System of MOF and MARA, and the Creative Team Project of the Laboratory for Marine Ecology and Environmental Science, Qingdao National for Marine Science and Technology (no. LMEESCTSP-2018). Hao Song was supported by the Young Elite Scientists Sponsorship Program by cst(Grant No. 2021QNRC001), and Youth Innovation Promotion Association by CAS. The funders had no role in the study design, data collection and analysis, decision to publish or preparation of the manuscript.
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Affiliation(s)
- Hao Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhuoqing Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Meijie Yang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Pu Shi
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhenglin Yu
- Research and Development Center for Efficient Utilization of Coastal Bioresources, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China
| | - Zhi Hu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Cong Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Pengpeng Hu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tao Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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12
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Lencer E, Rains A, Binne E, Prekeris R, Artinger KB. Mutations in cdon and boc affect trunk neural crest cell migration and slow-twitch muscle development in zebrafish. Development 2023; 150:dev201304. [PMID: 37390228 PMCID: PMC10357035 DOI: 10.1242/dev.201304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 06/22/2023] [Indexed: 07/02/2023]
Abstract
The transmembrane proteins cdon and boc are implicated in regulating hedgehog signaling during vertebrate development. Recent work showing roles for these genes in axon guidance and neural crest cell migration suggest that cdon and boc may play additional functions in regulating directed cell movements. We use newly generated and existing mutants to investigate a role for cdon and boc in zebrafish neural crest cell migration. We find that single mutant embryos exhibit normal neural crest phenotypes, but that neural crest migration is strikingly disrupted in double cdon;boc mutant embryos. We further show that this migration phenotype is associated with defects in the differentiation of slow-twitch muscle cells, and the loss of a Col1a1a-containing extracellular matrix, suggesting that neural crest defects may be a secondary consequence to defects in mesoderm development. Combined, our data add to a growing literature showing that cdon and boc act synergistically to promote hedgehog signaling during vertebrate development, and suggest that the zebrafish can be used to study the function of hedgehog receptor paralogs.
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Affiliation(s)
- Ezra Lencer
- Department of Cell and Developmental Biology, University of Colorado, Anschutz Medical Campus Aurora, CO 80045, USA
- Department of Craniofacial Biology, University of Colorado, Anschutz Medical Campus Aurora, CO 80045, USA
| | - Addison Rains
- Department of Craniofacial Biology, University of Colorado, Anschutz Medical Campus Aurora, CO 80045, USA
- Cell Biology, Stem Cells and Development Graduate Program, University of Colorado, Anschutz Medical Campus Aurora, CO 80045, USA
| | - Erin Binne
- Department of Craniofacial Biology, University of Colorado, Anschutz Medical Campus Aurora, CO 80045, USA
| | - Rytis Prekeris
- Department of Cell and Developmental Biology, University of Colorado, Anschutz Medical Campus Aurora, CO 80045, USA
| | - Kristin B. Artinger
- Department of Craniofacial Biology, University of Colorado, Anschutz Medical Campus Aurora, CO 80045, USA
- Department of Diagnostic and Biological Sciences, University of Minnesota School of Dentistry, Minneapolis, MN 55455, USA
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13
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Hao Y, Song G, Zhang YE, Zhai W, Jia C, Ji Y, Tang S, Lv H, Qu Y, Lei F. Divergent contributions of coding and noncoding sequences to initial high-altitude adaptation in passerine birds endemic to the Qinghai-Tibet Plateau. Mol Ecol 2023; 32:3524-3540. [PMID: 37000417 DOI: 10.1111/mec.16942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 02/27/2023] [Accepted: 03/27/2023] [Indexed: 04/01/2023]
Abstract
Early events in the evolution of an ancestral lineage can shape the adaptive patterns of descendant species, but the evolutionary mechanisms driving initial adaptation from an ancestor remain largely unexplored. High-altitude adaptations have been extensively explored from the viewpoint of protein-coding genes; however, the contribution of noncoding regions remains relatively neglected. Here, we integrate genomic and transcriptomic data to investigate adaptive evolution in the ancestor of three high-altitude snowfinch species endemic to the Qinghai-Tibet Plateau. Our genome-wide scan for adaptation in the snowfinch ancestor identifies strong adaptation signals in functions of development and metabolism for the coding genes, but in functions of the nervous system development for noncoding regions. This pattern is exclusive to the snowfinch ancestor compared to a control ancestral lineage subject to weak selection. Changes in noncoding regions in the snowfinch ancestor, especially those nearest to coding genes, may be disproportionately associated with the differential expression of genes in the brain tissue compared to other tissues. Extensive gene expression in the brain tissue can be further altered via genetic regulatory networks of transcription factors harbouring potential accelerated regulatory regions (e.g., the development-related transcription factor YEATS4). Altogether, our study provides new evidence concerning how coding and noncoding sequences work through decoupled pathways in initial adaptation to the selective pressure of high-altitude environments. The analysis highlights the idea that noncoding sequences may be promising elements in facilitating the rapid evolution and adaptation to high altitudes.
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Affiliation(s)
- Yan Hao
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Gang Song
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yong E Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Weiwei Zhai
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Chenxi Jia
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yanzhu Ji
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Shiyu Tang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Hongrui Lv
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Yanhua Qu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
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14
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Gong S, Ge Y, Wei Y, Gao Y. Genomic insights into the genetic basis of eagle-beak jaw, large head, and long tail in the big-headed turtle. Ecol Evol 2023; 13:e10361. [PMID: 37502307 PMCID: PMC10368965 DOI: 10.1002/ece3.10361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/15/2023] [Accepted: 07/14/2023] [Indexed: 07/29/2023] Open
Abstract
The big-headed turtle (Platysternon megacephalum) is an endemic chelonian species in Asia. Unlike most other turtles in the world, P. megacephalum is characterized with eagle-beak jaw, large head, and long tail. Although these unique characteristics are well recognized, the underlying genetic basis remains largely elusive. Here, we performed comparative genomic analysis between P. megacephalum and other representative species, aiming to reveal the genetic basis of the unique morphological features. Our results revealed that the eagle-beak jaw is most likely enabled by combined effects of expansion of SFRP5, extraction of FGF11, and mutation of both ZFYVE16 and PAX6. Large head is supported by mutations of SETD2 and FGRF2 and copy number variations of six head circumference modulation-related genes (TGFBR2, Twist2, Rdh10, Gas1, Chst11, and SNAP25). The long tail is probably involved in a genetic network comprising Gdf11, Lin 28, and HoxC12, two of which showed a consistent expression pattern with a model organism (mice). These findings suggest that expansion, extraction, and mutation of those genes may have profound effects on unique phenotypes of P. megacephalum.
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Affiliation(s)
- Shiping Gong
- College of Life Science and TechnologyJinan UniversityGuangzhouChina
| | - Yan Ge
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of ZoologyGuangdong Academy of SciencesGuangzhouChina
| | - Yufeng Wei
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of ZoologyGuangdong Academy of SciencesGuangzhouChina
| | - Yangchun Gao
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of ZoologyGuangdong Academy of SciencesGuangzhouChina
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15
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Liu Y, Chen X, Yin Y, Li X, He K, Zhao X, Li X, Luo X, Mei Y, Wang Z, Shu R, Cheng Z, Gebretsadik KG, Luo C, Wang R, Lv Y, Chen A, Li F. A chromosome-level genome assembly of tomato pinworm, Tuta absoluta. Sci Data 2023; 10:390. [PMID: 37330594 PMCID: PMC10276875 DOI: 10.1038/s41597-023-02299-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 06/09/2023] [Indexed: 06/19/2023] Open
Abstract
The tomato pinworm, Tuta absoluta, or Phthorimaea absouta, is native to South America, but quickly spread to other regions of world, including Europe, Africa, and Asia, devastating to global tomato production. However, a lack of high-quality genome resources makes it difficult to understand its high invasiveness and ecological adaptation. Here, we sequenced the genome of the tomato pinworm using Nanopore platforms, yielding a genome assembly of 564.5 Mb with contig N50 of 3.33 Mb. BUSCO analysis demonstrated that this genome assembly has a high-level completeness of 98.0% gene coverage. In total, 310 Mb are repeating sequences accounting for 54.8% of genome assembly, and 21,979 protein-coding genes are annotated. Next, we used the Hi-C technique to anchor 295 contigs to 29 chromosomes, yielding a chromosome-level genome assembly with a scaffold N50 of 20.7 Mb. In sum, the high-quality genome assembly of the tomato pinworm is a useful gene resource that contributes to a better understanding of the biological characteristics of its invasiveness and will help in developing an efficient control policy.
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Affiliation(s)
- Ying Liu
- Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests of Yunnan Province and Agricultural Environment/ Agriculture Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
| | - Xi Chen
- State Key Laboratory of Rice Biology & Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects & Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Yanqiong Yin
- Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests of Yunnan Province and Agricultural Environment/ Agriculture Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Xiaowei Li
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Kang He
- State Key Laboratory of Rice Biology & Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects & Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Xueqing Zhao
- Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests of Yunnan Province and Agricultural Environment/ Agriculture Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Xiangyong Li
- Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests of Yunnan Province and Agricultural Environment/ Agriculture Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Xiyan Luo
- Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests of Yunnan Province and Agricultural Environment/ Agriculture Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Yang Mei
- State Key Laboratory of Rice Biology & Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects & Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zuoqi Wang
- State Key Laboratory of Rice Biology & Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects & Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Runguo Shu
- State Key Laboratory of Rice Biology & Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects & Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Ziqi Cheng
- State Key Laboratory of Rice Biology & Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects & Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Kifle Gebreegziabiher Gebretsadik
- Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests of Yunnan Province and Agricultural Environment/ Agriculture Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
- Tigray Agricultural Research Institute (TARI), Mek'ele, Tigray, +492, Ethiopia
| | - Chen Luo
- Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Ran Wang
- Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Yaobin Lv
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
| | - Aidong Chen
- Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests of Yunnan Province and Agricultural Environment/ Agriculture Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
| | - Fei Li
- State Key Laboratory of Rice Biology & Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects & Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
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16
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Shao Y, Zhou L, Li F, Zhao L, Zhang BL, Shao F, Chen JW, Chen CY, Bi X, Zhuang XL, Zhu HL, Hu J, Sun Z, Li X, Wang D, Rivas-González I, Wang S, Wang YM, Chen W, Li G, Lu HM, Liu Y, Kuderna LFK, Farh KKH, Fan PF, Yu L, Li M, Liu ZJ, Tiley GP, Yoder AD, Roos C, Hayakawa T, Marques-Bonet T, Rogers J, Stenson PD, Cooper DN, Schierup MH, Yao YG, Zhang YP, Wang W, Qi XG, Zhang G, Wu DD. Phylogenomic analyses provide insights into primate evolution. Science 2023; 380:913-924. [PMID: 37262173 DOI: 10.1126/science.abn6919] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 01/26/2023] [Indexed: 06/03/2023]
Abstract
Comparative analysis of primate genomes within a phylogenetic context is essential for understanding the evolution of human genetic architecture and primate diversity. We present such a study of 50 primate species spanning 38 genera and 14 families, including 27 genomes first reported here, with many from previously less well represented groups, the New World monkeys and the Strepsirrhini. Our analyses reveal heterogeneous rates of genomic rearrangement and gene evolution across primate lineages. Thousands of genes under positive selection in different lineages play roles in the nervous, skeletal, and digestive systems and may have contributed to primate innovations and adaptations. Our study reveals that many key genomic innovations occurred in the Simiiformes ancestral node and may have had an impact on the adaptive radiation of the Simiiformes and human evolution.
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Affiliation(s)
- Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
| | - Long Zhou
- Center of Evolutionary & Organismal Biology, and Women's Hospital at Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Fang Li
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
- Institute of Animal Sex and Development, ZhejiangWanli University, Ningbo 315100, China
| | - Lan Zhao
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Bao-Lin Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
| | - Feng Shao
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Southwest University School of Life Sciences, Chongqing 400715, China
| | | | - Chun-Yan Chen
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an 710072, China
| | - Xupeng Bi
- Center of Evolutionary & Organismal Biology, and Women's Hospital at Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xiao-Lin Zhuang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming 650204, China
| | | | - Jiang Hu
- Grandomics Biosciences, Beijing 102206, China
| | - Zongyi Sun
- Grandomics Biosciences, Beijing 102206, China
| | - Xin Li
- Grandomics Biosciences, Beijing 102206, China
| | - Depeng Wang
- Grandomics Biosciences, Beijing 102206, China
| | | | - Sheng Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
| | - Yun-Mei Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
| | - Wu Chen
- Guangzhou Zoo & Guangzhou Wildlife Research Center, Guangzhou 510070, China
| | - Gang Li
- College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China
| | - Hui-Meng Lu
- School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Yang Liu
- College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China
| | - Lukas F K Kuderna
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, 08003 Barcelona, Spain
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA 92122, USA
| | - Kyle Kai-How Farh
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA 92122, USA
| | - Peng-Fei Fan
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
| | - Ming Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhi-Jin Liu
- College of Life Sciences, Capital Normal University, Beijing 100048, China
| | - George P Tiley
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Anne D Yoder
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Takashi Hayakawa
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan
- Japan Monkey Centre, Inuyama, Aichi 484-0081, Japan
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, 08003 Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010 Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Peter D Stenson
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | | | - Yong-Gang Yao
- Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming 650204, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an 710072, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
| | - Xiao-Guang Qi
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Guojie Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Center of Evolutionary & Organismal Biology, and Women's Hospital at Zhejiang University School of Medicine, Hangzhou 310058, China
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou 311121, China
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650204, China
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17
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Han R, Han L, Zhao X, Wang Q, Xia Y, Li H. Haplotype-resolved Genome of Sika Deer Reveals Allele-specific Gene Expression and Chromosome Evolution. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:470-482. [PMID: 36395998 PMCID: PMC10787017 DOI: 10.1016/j.gpb.2022.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 10/24/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022]
Abstract
Despite the scientific and medicinal importance of diploid sika deer (Cervus nippon), its genome resources are limited and haplotype-resolved chromosome-scale assembly is urgently needed. To explore mechanisms underlying the expression patterns of the allele-specific genes in antlers and the chromosome evolution in Cervidae, we report, for the first time, a high-quality haplotype-resolved chromosome-scale genome of sika deer by integrating multiple sequencing strategies, which was anchored to 32 homologous groups with a pair of sex chromosomes (XY). Several expanded genes (RET, PPP2R1A, PPP2R1B, YWHAB, YWHAZ, and RPS6) and positively selected genes (eIF4E, Wnt8A, Wnt9B, BMP4, and TP53) were identified, which could contribute to rapid antler growth without carcinogenesis. A comprehensive and systematic genome-wide analysis of allele expression patterns revealed that most alleles were functionally equivalent in regulating rapid antler growth and inhibiting oncogenesis. Comparative genomic analysis revealed that chromosome fission might occur during the divergence of sika deer and red deer (Cervus elaphus), and the olfactory sensation of sika deer might be more powerful than that of red deer. Obvious inversion regions containing olfactory receptor genes were also identified, which arose since the divergence. In conclusion, the high-quality allele-aware reference genome provides valuable resources for further illustration of the unique biological characteristics of antler, chromosome evolution, and multi-omics research of cervid animals.
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Affiliation(s)
- Ruobing Han
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Lei Han
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Xunwu Zhao
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Qianghui Wang
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Yanling Xia
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Heping Li
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.
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18
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Lu Y, Nagamori I, Kobayashi H, Kojima-Kita K, Shirane K, Chang HY, Nishimura T, Koyano T, Yu Z, Castañeda JM, Matsuyama M, Kuramochi-Miyagawa S, Matzuk MM, Ikawa M. ADAD2 functions in spermiogenesis and piRNA biogenesis in mice. Andrology 2023; 11:698-709. [PMID: 36698249 PMCID: PMC10073342 DOI: 10.1111/andr.13400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 01/17/2023] [Accepted: 01/21/2023] [Indexed: 01/27/2023]
Abstract
BACKGROUND Adenosine deaminase domain containing 2 (ADAD2) is a testis-specific protein composed of a double-stranded RNA binding domain and a non-catalytic adenosine deaminase domain. A recent study showed that ADAD2 is indispensable for the male reproduction in mice. However, the detailed functions of ADAD2 remain elusive. OBJECTIVES This study aimed to investigate the cause of male sterility in Adad2 mutant mice and to understand the molecular functions of ADAD2. MATERIALS AND METHODS Adad2 homozygous mutant mouse lines, Adad2-/- and Adad2Δ/Δ , were generated by CRISPR/Cas9. Western blotting and immunohistochemistry were used to reveal the expression and subcellular localization of ADAD2. Co-immunoprecipitation tandem mass spectrometry was employed to determine the ADAD2-interacting proteins in mouse testes. RNA-sequencing analyses were carried out to analyze the transcriptome and PIWI-interacting RNA (piRNA) populations in wildtype and Adad2 mutant testes. RESULTS Adad2-/- and Adad2Δ/Δ mice exhibit male-specific sterility because of abnormal spermiogenesis. ADAD2 interacts with multiple RNA-binding proteins involved in piRNA biogenesis, including MILI, MIWI, RNF17, and YTHDC2. ADAD2 co-localizes and forms novel granules with RNF17 in spermatocytes. Ablation of ADAD2 impairs the formation of RNF17 granules, decreases the number of cluster-derived pachytene piRNAs, and increases expression of ping-pong-derived piRNAs. DISCUSSION AND CONCLUSION In collaboration with RNF17 and other RNA-binding proteins in spermatocytes, ADAD2 directly or indirectly functions in piRNA biogenesis.
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Affiliation(s)
- Yonggang Lu
- Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan
- Department of Experimental Genome Research, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Ippei Nagamori
- Department of Pathology, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Hisato Kobayashi
- Department of Embryology, Nara Medical University, Kashihara, Nara 634-0813, Japan
| | - Kanako Kojima-Kita
- Department of Pathology, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Kenjiro Shirane
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Hsin-Yi Chang
- Department of Experimental Genome Research, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
- Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Toru Nishimura
- Graduate School of Frontier Biosciences, Osaka University, Osaka 565-0871, Japan
| | - Takayuki Koyano
- Division of Molecular Genetics, Shigei Medical Research Institute, Okayama 701-0202, Japan
| | - Zhifeng Yu
- Center for Drug Discovery and Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States
| | - Julio M. Castañeda
- Department of Experimental Genome Research, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Makoto Matsuyama
- Division of Molecular Genetics, Shigei Medical Research Institute, Okayama 701-0202, Japan
| | - Satomi Kuramochi-Miyagawa
- Department of Pathology, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
- Graduate School of Frontier Biosciences, Osaka University, Osaka 565-0871, Japan
| | - Martin M. Matzuk
- Center for Drug Discovery and Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States
| | - Masahito Ikawa
- Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan
- Department of Experimental Genome Research, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
- Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
- Laboratory of Reproductive Systems Biology, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
- Center for Infectious Disease Education and Research, Osaka University, Osaka 565-0871, Japan
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19
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Zhao L, Zou M, Deng K, Xia C, Jiang S, Zhang C, Ma Y, Dong X, He M, Na T, Wang J, Xia Z, Wang F. Insights into the genetic determination of tuber shape and eye depth in potato natural population based on autotetraploid potato genome. FRONTIERS IN PLANT SCIENCE 2023; 14:1080666. [PMID: 37056497 PMCID: PMC10086151 DOI: 10.3389/fpls.2023.1080666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 03/15/2023] [Indexed: 06/19/2023]
Abstract
Potato is one of the world's most important food crops, with a time-consuming breeding process. In this study, we performed a genome-wide association (GWAS) analysis of the two important traits of potato tuber shape and eye depth, using the tetraploid potato genome (2n=4x=48) as a reference. A total of 370 potatoes were divided into three subgroups based on the principal component analysis and evolutionary tree analysis. The genetic diversity within subgroups is low (5.18×10-5, 4.36×10-5 and 4.24×10-5). Genome-wide linkage disequilibrium (LD) analysis showed that their LD is about 60 Kb. GWAS analysis identified that 146 significant single nucleotide polymorphism (SNP) loci at Chr01A1:34.44-35.25 Mb and Chr02A1:28.35-28.54 Mb regions are significantly associated with potato tuber shape, and that three candidate genes that might be related to potato tuber traits, PLATZ transcription factor, UTP-glucose-1-phosphate uridylyltransferase and FAR1 DNA-binding domain, are in the association region of Chr02A1. GWAS analysis identified 53 significant SNP loci at Chr05A2: 49.644-50.146 Mb and Chr06A2: 25.866-26.384 Mb regions with robust associations with potato tuber eye depth. Hydrolase and methyltransferases are present in the association region of Chr05A2, and three CYPs are present in the association region of Chr06A2. Our findings suggested that these genes are closely associated with potato tuber shape and eye depth. Our study identified molecular markers and candidate genes for improving tetraploid potato tuber shape and eye depth and provided ideas and insights for tetraploid potato breeding.
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Affiliation(s)
- Long Zhao
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Meiling Zou
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Ke Deng
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Chengcai Xia
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Sirong Jiang
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Chenji Zhang
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Yongzhen Ma
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
| | - Xiaorui Dong
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Miaohua He
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Tiancang Na
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- Key Laboratory of Qinghai-Tibet Plateau Biotechnology Ministry of Education, Qinghai University, Xining, China
- Qinghai Provincial Key Laboratory of Potato Breeding, Qinghai University, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining, China
| | - Jian Wang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- Key Laboratory of Qinghai-Tibet Plateau Biotechnology Ministry of Education, Qinghai University, Xining, China
- Qinghai Provincial Key Laboratory of Potato Breeding, Qinghai University, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining, China
| | - Zhiqiang Xia
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Fang Wang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- Key Laboratory of Qinghai-Tibet Plateau Biotechnology Ministry of Education, Qinghai University, Xining, China
- Qinghai Provincial Key Laboratory of Potato Breeding, Qinghai University, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining, China
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20
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Watanabe T, Kure A, Horiike T. OrthoPhy: A Program to Construct Ortholog Data Sets Using Taxonomic Information. Genome Biol Evol 2023; 15:7044703. [PMID: 36799928 PMCID: PMC9991595 DOI: 10.1093/gbe/evad026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 01/30/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
Species phylogenetic trees represent the evolutionary processes of organisms, and they are fundamental in evolutionary research. Therefore, new methods have been developed to obtain more reliable species phylogenetic trees. A highly reliable method is the construction of an ortholog data set based on sequence information of genes, which is then used to infer the species phylogenetic tree. However, although methods for constructing an ortholog data set for species phylogenetic analysis have been developed, they cannot remove some paralogs, which is necessary for reliable species phylogenetic inference. To address the limitations of current methods, we developed OrthoPhy, a program that excludes paralogs and constructs highly accurate ortholog data sets using taxonomic information dividing analyzed species into monophyletic groups. OrthoPhy can remove paralogs, detecting inconsistencies between taxonomic information and phylogenetic trees of candidate ortholog groups clustered by sequence similarity. Performance tests using evolutionary simulated sequences and real sequences of 40 bacteria revealed that the precision of ortholog inference by OrthoPhy is higher than that of existing programs. Additionally, the phylogenetic analysis of species was more accurate when performed using ortholog data sets constructed by OrthoPhy than that performed using data sets constructed by existing programs. Furthermore, we performed a benchmark test of the Quest for Orthologs using real sequence data and found that the concordance rate between the phylogenetic trees of orthologs inferred by OrthoPhy and those of species was higher than the rates obtained by other ortholog inference programs. Therefore, ortholog data sets constructed using OrthoPhy enabled a more accurate phylogenetic analysis of species than those constructed using the existing programs, and OrthoPhy can be used for the phylogenetic analysis of species even for distantly related species that have experienced many evolutionary events.
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Affiliation(s)
- Tomoaki Watanabe
- United Graduate School of Agricultural Science, Gifu University, Gifu, Japan
| | - Akinori Kure
- Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan
| | - Tokumasa Horiike
- Department of Bioresource Sciences, Shizuoka University, Shizuoka, Japan
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21
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Zhao X, Yi L, Ren Y, Li J, Ren W, Hou Z, Su S, Wang J, Zhang Y, Dong Q, Yang X, Cheng Y, Lu Z. Chromosome-scale Genome Assembly of the Yellow Nutsedge (Cyperus esculentus). Genome Biol Evol 2023; 15:7049323. [PMID: 36807517 PMCID: PMC9998029 DOI: 10.1093/gbe/evad027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/23/2023] [Accepted: 01/28/2023] [Indexed: 02/23/2023] Open
Abstract
The yellow nutsedge (Cyperus esculentus L. 1753) is an unconventional oil plant with oil-rich tubers, and a potential alternative for traditional oil crops. Here, we reported the first high-quality and chromosome-level genome assembly of the yellow nutsedge generated by combining PacBio HiFi long reads, Novaseq short reads, and Hi-C data. The final genome size is 225.6 Mb with an N50 of 4.3 Mb. More than 222.9 Mb scaffolds were anchored to 54 pseudochromosomes with a BUSCO score of 96.0%. We identified 76.5 Mb (33.9%) repetitive sequences across the genome. A total of 23,613 protein-coding genes were predicted in this genome, of which 22,847 (96.8%) were functionally annotated. A whole-genome duplication event was found after the divergence of Carex littledalei and Rhynchospora breviuscula, indicating the rich genetic resources of this species for adaptive evolution. Several significantly enriched GO terms were related to invasiveness of the yellow nutsedge, which may explain its plastic adaptability. In addition, several enriched Kyoto Encyclopedia of Genes and Genomes pathways and expanded gene families were closely related with substances in tubers, partially explaining the genomic basis of characteristics of this oil-rich tuber.
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Affiliation(s)
- Xiaoqing Zhao
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, Inner Mongolia, China.,School of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, China.,Key Laboratory of Black Soil Protection and Utilization (Hohhot), Ministry of Agriculture and Rural Affairs, PR China, Hohhot, Inner Mongolia, China.,Inner Mongolia Key Laboratory of Degradation Farmland Ecological Restoration and Pollution Control, Hohhot, Inner Mongolia, China
| | - Liuxi Yi
- College of Agronomy, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
| | - Yongfeng Ren
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, Inner Mongolia, China.,School of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, China.,Key Laboratory of Black Soil Protection and Utilization (Hohhot), Ministry of Agriculture and Rural Affairs, PR China, Hohhot, Inner Mongolia, China
| | - Juan Li
- School of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, China
| | - Wei Ren
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Zhihui Hou
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, Inner Mongolia, China
| | - Shaofeng Su
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, Inner Mongolia, China
| | - Jianguo Wang
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, Inner Mongolia, China
| | - Yuanyu Zhang
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Qi Dong
- School of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, China
| | - Xiangdong Yang
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Yuchen Cheng
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, Inner Mongolia, China.,Key Laboratory of Black Soil Protection and Utilization (Hohhot), Ministry of Agriculture and Rural Affairs, PR China, Hohhot, Inner Mongolia, China.,Inner Mongolia Key Laboratory of Degradation Farmland Ecological Restoration and Pollution Control, Hohhot, Inner Mongolia, China
| | - Zhanyuan Lu
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, Inner Mongolia, China.,School of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, China.,Key Laboratory of Black Soil Protection and Utilization (Hohhot), Ministry of Agriculture and Rural Affairs, PR China, Hohhot, Inner Mongolia, China.,Inner Mongolia Key Laboratory of Degradation Farmland Ecological Restoration and Pollution Control, Hohhot, Inner Mongolia, China
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22
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Li A, Yang Q, Li R, Dai X, Cai K, Lei Y, Jia K, Jiang Y, Zan L. Chromosome-level genome assembly for takin (Budorcas taxicolor) provides insights into its taxonomic status and genetic diversity. Mol Ecol 2023; 32:1323-1334. [PMID: 35467052 DOI: 10.1111/mec.16483] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 03/29/2022] [Accepted: 04/17/2022] [Indexed: 11/29/2022]
Abstract
The takin (Budorcas taxicolor) is one of the largest bovid herbivores in the subfamily Caprinae. The takin is at high risk of extinction, but its taxonomic status and genetic diversity remain unclear. In this study, we constructed the first reference genome of Bu. taxicolor using PacBio long High-Fidelity reads and Hi-C technology. The assembled genome is ~2.95 Gb with a contig N50 of 68.05 Mb, which were anchored onto 25+XY chromosomes. We found that the takin was more closely related to muskox than to other Caprinae species. Compared to the common ancestral karyotype of bovidae (2n = 60), we found the takin (2n = 52) experienced four chromosome fusions and one large translocation. Furthermore, we resequenced nine golden takins from the main distribution area, the Qinling Mountains, and identified 3.3 million single nucleotide polymorphisms. The genetic diversity of takin was very low (θπ = 0.00028 and heterozygosity =0.00038), among the lowest detected in domestic and wild mammals. Takin genomes showed a high inbreeding coefficient (FROH =0.217), suggesting severe inbreeding depression. The demographic history showed that the effective population size of takins declined significantly from ~100,000 years ago. Our results provide valuable information for protection of takins and insights into their evolution.
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Affiliation(s)
- Anning Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Qimeng Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Center for Ruminant Genetic and Evolution, Northwest A&F University, Yangling, Shaanxi, China
| | - Ran Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Center for Ruminant Genetic and Evolution, Northwest A&F University, Yangling, Shaanxi, China
| | - Xuelei Dai
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Center for Ruminant Genetic and Evolution, Northwest A&F University, Yangling, Shaanxi, China
| | - Keli Cai
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Yinghu Lei
- Research Center for the Qinling Giant Panda (Shaanxi Rare Wildlife Rescue Base), Shaanxi Academy of Forestry Sciences, Zhouzhi, Shaanxi, China
| | - Kangsheng Jia
- Research Center for the Qinling Giant Panda (Shaanxi Rare Wildlife Rescue Base), Shaanxi Academy of Forestry Sciences, Zhouzhi, Shaanxi, China
| | - Yu Jiang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Center for Ruminant Genetic and Evolution, Northwest A&F University, Yangling, Shaanxi, China
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Research Center for the Qinling Giant Panda (Shaanxi Rare Wildlife Rescue Base), Shaanxi Academy of Forestry Sciences, Zhouzhi, Shaanxi, China
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23
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Kang H, Liu Q, Seim I, Zhang W, Li H, Gao H, Lin W, Lin M, Zhang P, Zhang Y, Gao H, Wang Y, Qin Y, Liu M, Dong L, Yang Z, Zhang Y, Han L, Fan G, Li S. A genome and single-nucleus cerebral cortex transcriptome atlas of the short-finned pilot whale Globicephala macrorhynchus. Mol Ecol Resour 2023. [PMID: 36826393 DOI: 10.1111/1755-0998.13775] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 02/09/2023] [Accepted: 02/22/2023] [Indexed: 02/25/2023]
Abstract
Cetaceans (dolphins, whales, and porpoises) have large and anatomically sophisticated brains. To expand our understanding of the cellular makeup of cetacean brains and the similarities and divergence between the brains of cetaceans and terrestrial mammals, we report a short-finned pilot whale (Globicephala macrorhynchus) single-nucleus transcriptome atlas. To achieve this goal, we assembled a chromosome-scale reference genome spanning 2.25 Gb on 22 chromosomes and profiled the gene expression of five major anatomical cortical regions of the short-finned pilot whale by single-nucleus RNA-sequencing (snRNA-seq). We identified six major cell lineages in the cerebral cortex (excitatory neurons, inhibitory neurons, oligodendrocytes, oligodendrocyte precursor cells, astrocytes, and endothelial cells), eight molecularly distinct subclusters of excitatory neurons, and four subclusters of inhibitory neurons. Finally, a comparison of snRNA-seq data from the short-finned pilot whale, human, and rhesus macaque revealed a broadly conserved cellular makeup of brain cell types. Our study provides genomic resources and molecular insights into cetacean brain evolution.
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Affiliation(s)
- Hui Kang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Qun Liu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China.,Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, China.,Department of Biology, University of Copenhagen, Copenhagen, Denmark.,Qingdao Key Laboratory of Marine Genomics, BGI-Qingdao, Qingdao, China
| | - Inge Seim
- Integrative Biology Laboratory, College of Life Sciences, Nanjing Normal University, Nanjing, China
| | - Wenwei Zhang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
| | - Hanbo Li
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China.,Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, China
| | - Haiyu Gao
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Wenzhi Lin
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Mingli Lin
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Peijun Zhang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | | | | | - Yang Wang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China
| | - Yating Qin
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China
| | - Mingming Liu
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Lijun Dong
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Zixin Yang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | | | - Lei Han
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
| | - Guangyi Fan
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China.,State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
| | - Songhai Li
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
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24
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Lu Y, Shimada K, Tang S, Zhang J, Ogawa Y, Noda T, Shibuya H, Ikawa M. 1700029I15Rik orchestrates the biosynthesis of acrosomal membrane proteins required for sperm-egg interaction. Proc Natl Acad Sci U S A 2023. [PMID: 36787362 DOI: 10.1101/2022.04.15.488448] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023] Open
Abstract
Sperm acrosomal membrane proteins, such as Izumo sperm-egg fusion 1 (IZUMO1) and sperm acrosome-associated 6 (SPACA6), play essential roles in mammalian gamete binding or fusion. How their biosynthesis is regulated during spermiogenesis has largely remained elusive. Here, we show that 1700029I15Rik knockout male mice are severely subfertile and their spermatozoa do not fuse with eggs. 1700029I15Rik is a type-II transmembrane protein expressed in early round spermatids but not in mature spermatozoa. It interacts with proteins involved in N-linked glycosylation, disulfide isomerization, and endoplasmic reticulum (ER)-Golgi trafficking, suggesting a potential role in nascent protein processing. The ablation of 1700029I15Rik destabilizes non-catalytic subunits of the oligosaccharyltransferase (OST) complex that are pivotal for N-glycosylation. The knockout testes exhibit normal expression of sperm plasma membrane proteins, but decreased abundance of multiple acrosomal membrane proteins involved in fertilization. The knockout sperm show upregulated chaperones related to ER-associated degradation (ERAD) and elevated protein ubiquitination; strikingly, SPACA6 becomes undetectable. Our results support for a specific, 1700029I15Rik-mediated pathway underpinning the biosynthesis of acrosomal membrane proteins during spermiogenesis.
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Affiliation(s)
- Yonggang Lu
- Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan
- Department of Experimental Genome Research, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Kentaro Shimada
- Department of Experimental Genome Research, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
- Graduate School of Pharmaceutical Sciences, Osaka University, Osaka 565-0871, Japan
| | - Shaogeng Tang
- Sarafan ChEM-H, Stanford University, Stanford, CA 94305
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305
| | - Jingjing Zhang
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg SE-41390, Sweden
| | - Yo Ogawa
- Department of Experimental Genome Research, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
- Graduate School of Pharmaceutical Sciences, Osaka University, Osaka 565-0871, Japan
| | - Taichi Noda
- Department of Experimental Genome Research, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
- Division of Reproductive Biology, Institute of Resource Development and Analysis, Kumamoto University, Kumamoto 860-0811, Japan
- Priority Organization for Innovation and Excellence, Kumamoto University, Kumamoto 860-8555, Japan
| | - Hiroki Shibuya
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg SE-41390, Sweden
| | - Masahito Ikawa
- Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan
- Department of Experimental Genome Research, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
- Graduate School of Pharmaceutical Sciences, Osaka University, Osaka 565-0871, Japan
- Laboratory of Reproductive Systems Biology, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
- Center for Infectious Disease Education and Research, Osaka University, Osaka 565-0871, Japan
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25
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Yang JH, Hayano M, Griffin PT, Amorim JA, Bonkowski MS, Apostolides JK, Salfati EL, Blanchette M, Munding EM, Bhakta M, Chew YC, Guo W, Yang X, Maybury-Lewis S, Tian X, Ross JM, Coppotelli G, Meer MV, Rogers-Hammond R, Vera DL, Lu YR, Pippin JW, Creswell ML, Dou Z, Xu C, Mitchell SJ, Das A, O'Connell BL, Thakur S, Kane AE, Su Q, Mohri Y, Nishimura EK, Schaevitz L, Garg N, Balta AM, Rego MA, Gregory-Ksander M, Jakobs TC, Zhong L, Wakimoto H, El Andari J, Grimm D, Mostoslavsky R, Wagers AJ, Tsubota K, Bonasera SJ, Palmeira CM, Seidman JG, Seidman CE, Wolf NS, Kreiling JA, Sedivy JM, Murphy GF, Green RE, Garcia BA, Berger SL, Oberdoerffer P, Shankland SJ, Gladyshev VN, Ksander BR, Pfenning AR, Rajman LA, Sinclair DA. Loss of epigenetic information as a cause of mammalian aging. Cell 2023; 186:305-326.e27. [PMID: 36638792 PMCID: PMC10166133 DOI: 10.1016/j.cell.2022.12.027] [Citation(s) in RCA: 180] [Impact Index Per Article: 180.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 08/09/2022] [Accepted: 12/15/2022] [Indexed: 01/13/2023]
Abstract
All living things experience an increase in entropy, manifested as a loss of genetic and epigenetic information. In yeast, epigenetic information is lost over time due to the relocalization of chromatin-modifying proteins to DNA breaks, causing cells to lose their identity, a hallmark of yeast aging. Using a system called "ICE" (inducible changes to the epigenome), we find that the act of faithful DNA repair advances aging at physiological, cognitive, and molecular levels, including erosion of the epigenetic landscape, cellular exdifferentiation, senescence, and advancement of the DNA methylation clock, which can be reversed by OSK-mediated rejuvenation. These data are consistent with the information theory of aging, which states that a loss of epigenetic information is a reversible cause of aging.
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Affiliation(s)
- Jae-Hyun Yang
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA.
| | - Motoshi Hayano
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA; Department of Ophthalmology, Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Patrick T Griffin
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - João A Amorim
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA; IIIUC-Institute of Interdisciplinary Research, University of Coimbra, Coimbra, Portugal
| | - Michael S Bonkowski
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - John K Apostolides
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Elias L Salfati
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | | | | | - Mital Bhakta
- Cantata/Dovetail Genomics, Scotts Valley, CA, USA
| | | | - Wei Guo
- Zymo Research Corporation, Irvine, CA, USA
| | | | - Sun Maybury-Lewis
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Xiao Tian
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Jaime M Ross
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Giuseppe Coppotelli
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Margarita V Meer
- Department of Medicine, Brigham and Women's Hospital, HMS, Boston, MA, USA
| | - Ryan Rogers-Hammond
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Daniel L Vera
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Yuancheng Ryan Lu
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Jeffrey W Pippin
- Division of Nephrology, University of Washington, Seattle, WA, USA
| | - Michael L Creswell
- Division of Nephrology, University of Washington, Seattle, WA, USA; Georgetown University School of Medicine, Washington, DC, USA
| | - Zhixun Dou
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Caiyue Xu
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Abhirup Das
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA; Department of Pharmacology, UNSW, Sydney, NSW, Australia
| | | | - Sachin Thakur
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Alice E Kane
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Qiao Su
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Yasuaki Mohri
- Department of Stem Cell Biology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Emi K Nishimura
- Department of Stem Cell Biology, Tokyo Medical and Dental University, Tokyo, Japan
| | | | - Neha Garg
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Ana-Maria Balta
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Meghan A Rego
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | | | - Tatjana C Jakobs
- Schepens Eye Research Institute, Massachusetts Eye and Ear Infirmary, HMS, Boston, MA, USA
| | - Lei Zhong
- The Massachusetts General Hospital Cancer Center, HMS, Boston, MA, USA
| | | | - Jihad El Andari
- Department of Infectious Diseases/Virology, Section Viral Vector Technologies, Medical Faculty, University of Heidelberg, BioQuant, Heidelberg, Germany
| | - Dirk Grimm
- Department of Infectious Diseases/Virology, Section Viral Vector Technologies, Medical Faculty, University of Heidelberg, BioQuant, Heidelberg, Germany
| | - Raul Mostoslavsky
- The Massachusetts General Hospital Cancer Center, HMS, Boston, MA, USA
| | - Amy J Wagers
- Paul F. Glenn Center for Biology of Aging Research, Harvard Stem Cell Institute, Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - Kazuo Tsubota
- Department of Ophthalmology, Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Stephen J Bonasera
- Division of Geriatrics, University of Nebraska Medical Center, Durham Research Center II, Omaha, NE, USA
| | - Carlos M Palmeira
- Department of Life Sciences, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal
| | | | | | - Norman S Wolf
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Jill A Kreiling
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI, USA
| | - John M Sedivy
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI, USA
| | - George F Murphy
- Department of Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard E Green
- Department of Biomolecular Engineering, UCSC, Santa Cruz, CA, USA
| | - Benjamin A Garcia
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Shelley L Berger
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Vadim N Gladyshev
- Department of Medicine, Brigham and Women's Hospital, HMS, Boston, MA, USA
| | - Bruce R Ksander
- Schepens Eye Research Institute, Massachusetts Eye and Ear Infirmary, HMS, Boston, MA, USA
| | - Andreas R Pfenning
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Luis A Rajman
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - David A Sinclair
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA.
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26
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Zaytseva O, Mitchell NC, Muckle D, Delandre C, Nie Z, Werner JK, Lis JT, Eyras E, Hannan RD, Levens DL, Marshall OJ, Quinn LM. Psi promotes Drosophila wing growth via direct transcriptional activation of cell cycle targets and repression of growth inhibitors. Development 2023; 150:286725. [PMID: 36692218 PMCID: PMC10110491 DOI: 10.1242/dev.201563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 01/03/2023] [Indexed: 01/25/2023]
Abstract
The first characterised FUSE Binding Protein family member, FUBP1, binds single-stranded DNA to activate MYC transcription. Psi, the sole FUBP protein in Drosophila, binds RNA to regulate P-element and mRNA splicing. Our previous work revealed pro-growth functions for Psi, which depend, in part, on transcriptional activation of Myc. Genome-wide functions for FUBP family proteins in transcriptional control remain obscure. Here, through the first genome-wide binding and expression profiles obtained for a FUBP family protein, we demonstrate that, in addition to being required to activate Myc to promote cell growth, Psi also directly binds and activates stg to couple growth and cell division. Thus, Psi knockdown results in reduced cell division in the wing imaginal disc. In addition to activating these pro-proliferative targets, Psi directly represses transcription of the growth inhibitor tolkin (tok, a metallopeptidase implicated in TGFβ signalling). We further demonstrate tok overexpression inhibits proliferation, while tok loss of function increases mitosis alone and suppresses impaired cell division caused by Psi knockdown. Thus, Psi orchestrates growth through concurrent transcriptional activation of the pro-proliferative genes Myc and stg, in combination with repression of the growth inhibitor tok.
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Affiliation(s)
- Olga Zaytseva
- John Curtin School of Medical Research, The Australian National University, Canberra, ACT 2600, Australia
| | - Naomi C Mitchell
- John Curtin School of Medical Research, The Australian National University, Canberra, ACT 2600, Australia
| | - Damien Muckle
- John Curtin School of Medical Research, The Australian National University, Canberra, ACT 2600, Australia
| | - Caroline Delandre
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Zuqin Nie
- National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | | | - John T Lis
- Cornell University, Ithaca, NY 14850, USA
| | - Eduardo Eyras
- John Curtin School of Medical Research, The Australian National University, Canberra, ACT 2600, Australia
| | - Ross D Hannan
- John Curtin School of Medical Research, The Australian National University, Canberra, ACT 2600, Australia
| | | | - Owen J Marshall
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Leonie M Quinn
- John Curtin School of Medical Research, The Australian National University, Canberra, ACT 2600, Australia
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27
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Li S, Li W, Jiang S, Jing Y, Xiao L, Yu Y, Liu Y, Li Y, Wang D, Li J, Peng C, Chen J, Lu D, Wu B, Guang X, Ma J, You X, Yang Y, Liu S, Fang X, Gao Q, Shi Q, Lin H, Schartl M, Yue Z, Zhang Y. Mechanisms of sex differentiation and sex reversal in hermaphrodite fish as revealed by the Epinephelus coioides genome. Mol Ecol Resour 2023; 23:920-932. [PMID: 36631404 DOI: 10.1111/1755-0998.13753] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 12/13/2022] [Accepted: 12/28/2022] [Indexed: 01/13/2023]
Abstract
Most grouper species are functional protogynous hermaphrodites, but the genetic basis and the molecular mechanisms underlying the regulation of this unique reproductive strategy remain enigmatic. In this study, we report a high-quality chromosome-level genome assembly of the representative orange-spotted grouper (Epinephelus coioides). No duplication or deletion of sex differentiation-related genes was found in the genome, suggesting that sex development in this grouper may be related to changes in regulatory sequences or environmental factors. Transcriptomic analyses showed that aromatase and retinoic acid are probably critical to promoting ovarian fate determination, and follicle-stimulating hormone triggers the female-to-male sex change. Socially controlled sex-change studies revealed that, in sex-changing fish, the brain's response to the social environment may be mediated by activation of the phototransduction cascade and the melatonin synthesis pathway. In summary, our genomic and experimental results provide novel insights into the molecular mechanisms of sex differentiation and sex change in the protogynous groupers.
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Affiliation(s)
- Shuisheng Li
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | | | - Shoujia Jiang
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.,Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, Shenzhen, China
| | - Yi Jing
- BGI-Shenzhen, Shenzhen, China.,BGI-Sanya, BGI-Shenzhen, Sanya, China
| | - Ling Xiao
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | | | - Yun Liu
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Yanhong Li
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Dengdong Wang
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Jiang Li
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Cheng Peng
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Jiaxing Chen
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Danqi Lu
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Bin Wu
- BGI-Shenzhen, Shenzhen, China
| | | | - Junping Ma
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Xinxin You
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, Shenzhen, China
| | - Yuqing Yang
- Marine Fisheries Development Center of Guangdong Province, Huizhou, China
| | - Su Liu
- Marine Fisheries Development Center of Guangdong Province, Huizhou, China
| | | | - Qiang Gao
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Qiong Shi
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, Shenzhen, China
| | - Haoran Lin
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Manfred Schartl
- Developmental Biochemistry, University of Würzburg, Biozentrum, Am Hubland, Würzburg, and Comprehensive Cancer Center, University Clinic Würzburg, Würzburg, Germany.,Hagler Institute for Advanced Study and Department of Biology, Texas A&M University, College Station, Texas, USA
| | - Zhen Yue
- BGI-Shenzhen, Shenzhen, China.,BGI-Sanya, BGI-Shenzhen, Sanya, China
| | - Yong Zhang
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
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28
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Wang Q, He F, Huang RY, Yang X, Yang D, Ngatia JN, Gong Y, Xu Y, Huang S, Liu H. Draft genome of the oriental garden lizard ( Calotes versicolor). Front Genet 2023; 14:1091544. [PMID: 36891152 PMCID: PMC9986473 DOI: 10.3389/fgene.2023.1091544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 02/10/2023] [Indexed: 02/22/2023] Open
Affiliation(s)
- Qing Wang
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Fengping He
- College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Ru-Yi Huang
- Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, China
| | - Xueke Yang
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou, China
| | - Diancheng Yang
- Anhui Province Key Laboratory of the Conservation and Exploitation of Biological Resource, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Jacob Njaramba Ngatia
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.,Taita Hills Wildlife Sanctuary, Taita-Taveta, Kenya
| | - Yanan Gong
- Anhui Province Key Laboratory of the Conservation and Exploitation of Biological Resource, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Yanchun Xu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Song Huang
- Anhui Province Key Laboratory of the Conservation and Exploitation of Biological Resource, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Hui Liu
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou, China
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29
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Kuang M, Zhang Y, Lam TW, Ting HF. MLProbs: A Data-Centric Pipeline for Better Multiple Sequence Alignment. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023; 20:524-533. [PMID: 35120007 DOI: 10.1109/tcbb.2022.3148382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
In this paper, we explore using the data-centric approach to tackle the Multiple Sequence Alignment (MSA) construction problem. Unlike the algorithm-centric approach, which reduces the construction problem to a combinatorial optimization problem based on an abstract mathematical model, the data-centric approach explores using classification models trained from existing benchmark data to guide the construction. We identified two simple classifications to help us choose a better alignment tool and determine whether and how much to carry out realignment. We show that shallow machine-learning algorithms suffice to train sensitive models for these classifications. Based on these models, we implemented a new multiple sequence alignment pipeline, called MLProbs. Compared with 10 other popular alignment tools over four benchmark databases (namely, BAliBASE, OXBench, OXBench-X and SABMark), MLProbs consistently gives the highest TC score. More importantly, MLProbs shows non-trivial improvement for protein families with low similarity; in particular, when evaluated against the 1,356 protein families with similarity ≤ 50%, MLProbs achieves a TC score of 56.93, while the next best three tools are in the range of [55.41, 55.91] (increased by more than 1.8%). We also compared the performance of MLProbs and other MSA tools in two real-life applications - Phylogenetic Tree Construction Analysis and Protein Secondary Structure Prediction - and MLProbs also had the best performance. In our study, we used only shallow machine-learning algorithms to train our models. It would be interesting to study whether deep-learning methods can help make further improvements, so we suggest some possible research directions in the conclusion section.
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30
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Chromosome-Level Genome Assembly of the Speckled Blue Grouper ( Epinephelus cyanopodus) Provides Insight into Its Adaptive Evolution. BIOLOGY 2022; 11:biology11121810. [PMID: 36552321 PMCID: PMC9775623 DOI: 10.3390/biology11121810] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/09/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022]
Abstract
Epinephelus cyanopodus is a coral reef-dwelling grouper with important economic and ecological value and is widely distributed in the western Pacific Ocean. The lack of genomic resources for E. cyanopodus hinders its adaptive evolution and phylogeny research. We constructed the first high-quality genome of E. cyanopodus based on DNBSEQ, PacBio, and Hic sequencing technologies, with a genome size of 998.82 Mb, contig N50 of 5.855 Mb, and scaffold N50 of 41.98 Mb. More than 99.7% of contigs were anchored to 24 pseudochromosomes, and 94.2% of BUSCO genes were found in the E. cyanopodus genome, indicating a high genome assembly completeness. A total of 26,337 protein-coding genes were predicted, of which 98.77% were functionally annotated. Phylogenetic analysis showed that E. cyanopodus separated from its closely related species Epinephelus akaara about 11.5-26.5 million years ago, and the uplift of the Indo-Australian archipelago may have provided an opportunity for its rapid radiation. Moreover, several gene families associated with innate and adaptive immunity were significantly expanded in speckled blue grouper compared to other teleost genomes. Additionally, we identified several genes associated with immunity, growth and reproduction that are under positive selection in E. cyanopodus compared to other groupers, suggesting that E. cyanopodus has evolved broad adaptability in response to complex survival environment, which may provide the genetic basis for its rapid radiation. In brief, the high-quality reference genome of the speckled blue grouper provides a foundation for research on its biological traits and adaptive evolution and will be an important genetic tool to guide aquaculture and resolve its taxonomic controversies in future studies.
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31
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Functional genomics analysis reveals the evolutionary adaptation and demographic history of pygmy lorises. Proc Natl Acad Sci U S A 2022; 119:e2123030119. [PMID: 36161902 DOI: 10.1073/pnas.2123030119] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Lorises are a group of globally threatened strepsirrhine primates that exhibit many unusual physiological and behavioral features, including a low metabolic rate, slow movement, and hibernation. Here, we assembled a chromosome-level genome sequence of the pygmy loris (Xanthonycticebus pygmaeus) and resequenced whole genomes from 50 pygmy lorises and 6 Bengal slow lorises (Nycticebus bengalensis). We found that many gene families involved in detoxification have been specifically expanded in the pygmy loris, including the GSTA gene family, with many newly derived copies functioning specifically in the liver. We detected many genes displaying evolutionary convergence between pygmy loris and koala, including PITRM1. Significant decreases in PITRM1 enzymatic activity in these two species may have contributed to their characteristic low rate of metabolism. We also detected many evolutionarily convergent genes and positively selected genes in the pygmy loris that are involved in muscle development. Functional assays demonstrated the decreased ability of one positively selected gene, MYOF, to up-regulate the fast-type muscle fiber, consistent with the lower proportion of fast-twitch muscle fibers in the pygmy loris. The protein product of another positively selected gene in the pygmy loris, PER2, exhibited weaker binding to the key circadian core protein CRY, a finding that may be related to this species' unusual circadian rhythm. Finally, population genomics analysis revealed that these two extant loris species, which coexist in the same habitat, have exhibited an inverse relationship in terms of their demography over the past 1 million years, implying strong interspecies competition after speciation.
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32
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Lan T, Li H, Yang S, Shi M, Han L, Sahu SK, Lu Y, Wang J, Zhou M, Liu H, Huang J, Wang Q, Zhu Y, Wang L, Xu Y, Lin C, Liu H, Hou Z. The chromosome-scale genome of the raccoon dog: Insights into its evolutionary characteristics. iScience 2022; 25:105117. [PMID: 36185367 PMCID: PMC9523411 DOI: 10.1016/j.isci.2022.105117] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 07/07/2022] [Accepted: 09/08/2022] [Indexed: 11/28/2022] Open
Affiliation(s)
- Tianming Lan
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin 150040, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Haimeng Li
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shangchen Yang
- College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Minhui Shi
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lei Han
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Yaxian Lu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Jiangang Wang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Mengchao Zhou
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Hui Liu
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou 570228, China
| | - Junxuan Huang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Qing Wang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yixin Zhu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Li Wang
- College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yanchun Xu
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin 150040, China
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
- Corresponding author
| | - Chuyu Lin
- Shenzhen Zhong Nong Jing Yue Biotech Company Limited, Shenzhen 518120, China
- Corresponding author
| | - Huan Liu
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin 150040, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
- Corresponding author
| | - Zhijun Hou
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin 150040, China
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
- Corresponding author
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33
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Zhou Q, Chen Y, Chen Z, Wang L, Ma X, Wang J, Zhang Q, Chen S. Genomics and transcriptomics reveal new molecular mechanism of vibriosis resistance in fish. Front Immunol 2022; 13:974604. [PMID: 36304468 PMCID: PMC9592550 DOI: 10.3389/fimmu.2022.974604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/05/2022] [Indexed: 11/23/2022] Open
Abstract
Infectious diseases have caused dramatic production decline and economic loss for fish aquaculture. However, the poor understanding of fish disease resistance severely hampered disease prevention. Chinese tongue sole (Cynoglossus semilaevis) is an important economic flatfish suffering from vibriosis. Here we used genomic, transcriptomic and experimental approaches to investigate the molecular genetic mechanisms underlying fish vibriosis resistance. A genome-wide comparison revealed that the genes under selective sweeps were enriched for glycosaminoglycan (GAG) chondroitin sulfate (CS)/dermatan sulfate (DS) metabolism. Transcriptomic analyses prioritized synergic gene expression patterns in this pathway, which may lead to an increased CS/DS content in the resistant family. Further experimental evidence showed that carbohydrate sulfotransferases 12 (Chst12), a key enzyme for CS/DS biosynthesis, has a direct antibacterial activity. To the best of our knowledge, this is the first report that the chst12 gene has a bactericidal effect. In addition, CS/DS is a major component of the extracellular matrix (ECM) and the selection signatures and fine-tuned gene expressions of ECM-receptor interaction genes indicated a modification in the ECM structure with an enhancement of the barrier function. Furthermore, functional studies conducted on Col6a2, encoding a collagen gene which constitutes the ECM, pointed to that it may act as a cellular receptor for Vibrio pathogens, thus plays an important role for the Vibrio invasion. Taken together, these findings provide new insights into the molecular protective mechanism underlying vibriosis resistance in fish, which offers crucial genomic resources for the resistant germplasm breeding and infectious disease control in fish culturing.
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Affiliation(s)
- Qian Zhou
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao, China
- Shandong Key Laboratory for Marine Fishery Biotechnology and Genetic Breeding, Qingdao, China
| | - Yadong Chen
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Zhangfan Chen
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Lei Wang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Xinran Ma
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Jie Wang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Qihao Zhang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Songlin Chen
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao, China
- Shandong Key Laboratory for Marine Fishery Biotechnology and Genetic Breeding, Qingdao, China
- College of Life Science, Qingdao University, Qingdao, China
- *Correspondence: Songlin Chen,
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34
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Liu Y, Fu Y, Yang Y, Yi G, Lian J, Xie B, Yao Y, Chen M, Niu Y, Liu L, Wang L, Zhang Y, Fan X, Tang Y, Yuan P, Zhu M, Li Q, Zhang S, Chen Y, Wang B, He J, Lu D, Liachko I, Sullivan ST, Pang B, Chen Y, He X, Li K, Tang Z. Integration of multi-omics data reveals cis-regulatory variants that are associated with phenotypic differentiation of eastern from western pigs. GENETICS SELECTION EVOLUTION 2022; 54:62. [PMID: 36104777 PMCID: PMC9476355 DOI: 10.1186/s12711-022-00754-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 09/02/2022] [Indexed: 11/10/2022]
Abstract
Abstract
Background
The genetic mechanisms that underlie phenotypic differentiation in breeding animals have important implications in evolutionary biology and agriculture. However, the contribution of cis-regulatory variants to pig phenotypes is poorly understood. Therefore, our aim was to elucidate the molecular mechanisms by which non-coding variants cause phenotypic differences in pigs by combining evolutionary biology analyses and functional genomics.
Results
We obtained a high-resolution phased chromosome-scale reference genome with a contig N50 of 18.03 Mb for the Luchuan pig breed (a representative eastern breed) and profiled potential selective sweeps in eastern and western pigs by resequencing the genomes of 234 pigs. Multi-tissue transcriptome and chromatin accessibility analyses of these regions suggest that tissue-specific selection pressure is mediated by promoters and distal cis-regulatory elements. Promoter variants that are associated with increased expression of the lysozyme (LYZ) gene in the small intestine might enhance the immunity of the gastrointestinal tract and roughage tolerance in pigs. In skeletal muscle, an enhancer-modulating single-nucleotide polymorphism that is associated with up-regulation of the expression of the troponin C1, slow skeletal and cardiac type (TNNC1) gene might increase the proportion of slow muscle fibers and affect meat quality.
Conclusions
Our work sheds light on the molecular mechanisms by which non-coding variants shape phenotypic differences in pigs and provides valuable resources and novel perspectives to dissect the role of gene regulatory evolution in animal domestication and breeding.
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Fu N, Li J, Ren L, Li X, Wang M, Li F, Zong S, Luo Y. Chromosome-level genome assembly of Monochamus saltuarius reveals its adaptation and interaction mechanism with pine wood nematode. Int J Biol Macromol 2022; 222:325-336. [PMID: 36115455 DOI: 10.1016/j.ijbiomac.2022.09.108] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/22/2022] [Accepted: 09/10/2022] [Indexed: 11/05/2022]
Abstract
Monochamus saltuarius (Coleoptera: Cerambycidae) was reported as the vector beetle of the pine wood nematode (PWN, Bursaphelenchus xylophilus) in Japan and Europe. It was first reported to transmitted the PWN to native Pinus species in 2018 in Liaoning Province, China. However, the lack of genomic resources has limited the in-depth understanding of its interspecific relationship with PWN. Here, we obtained a chromosome-level reference genome of M. saltuarius combining Illumina, Nanopore and Hi-C sequencing technologies. We assembled the scaffolds into ten chromosomes (including an X chromosome) and obtained a 682.23 Mb chromosome-level genome with a N50 of 73.69 Mb. In total, 427.67 Mb (62.69 %) repeat sequences were identified and 14, 492 protein-coding genes were predicted, of which 93.06 % were annotated. We described the mth/mthl, P450, OBP and OR gene families associated with the vector beetle's development and resistance, as well as the host selection and adaptation, which serve as a valuable resource for understanding the host adaptation in insects during evolution. This high quality reference genome of M. saltuarius also provide new avenues for researching the mechanism of this synergistic damage between vector beetles and PWN.
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Affiliation(s)
- Ningning Fu
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
| | - Jiaxing Li
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
| | - Lili Ren
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China.
| | | | - Ming Wang
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
| | - Fengqi Li
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, Guizhou 550025, China
| | - Shixiang Zong
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
| | - Youqing Luo
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China.
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He M, He Y, Zhang K, Lu X, Zhang X, Gao B, Fan Y, Zhao H, Jha R, Huda MN, Tang Y, Wang J, Yang W, Yan M, Cheng J, Ruan J, Dulloo E, Zhang Z, Georgiev MI, Chapman MA, Zhou M. Comparison of buckwheat genomes reveals the genetic basis of metabolomic divergence and ecotype differentiation. THE NEW PHYTOLOGIST 2022; 235:1927-1943. [PMID: 35701896 DOI: 10.1111/nph.18306] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/22/2022] [Indexed: 05/09/2023]
Abstract
Golden buckwheat (Fagopyrum dibotrys or Fagopyrum cymosum) and Tartary buckwheat (Fagopyrum tataricum) belong to the Polygonaceae and the Fagopyrum genus is rich in flavonoids. Golden buckwheat is a wild relative of Tartary buckwheat, yet golden buckwheat is a traditional Chinese herbal medicine and Tartary buckwheat is a food crop. The genetic basis of adaptive divergence between these two buckwheats is poorly understood. Here, we assembled a high-quality chromosome-level genome of golden buckwheat and found a one-to-one syntenic relationship with the chromosomes of Tartary buckwheat. Two large inversions were identified that differentiate golden buckwheat and Tartary buckwheat. Metabolomic and genetic comparisons of golden buckwheat and Tartary buckwheat indicate an amplified copy number of FdCHI, FdF3H, FdDFR, and FdLAR gene families in golden buckwheat, and a parallel increase in medicinal flavonoid content. Resequencing of 34 wild golden buckwheat accessions across the two morphologically distinct ecotypes identified candidate genes, including FdMYB44 and FdCRF4, putatively involved in flavonoid accumulation and differentiation of plant architecture, respectively. Our comparative genomic study provides abundant genomic resources of genomic divergent variation to improve buckwheat with excellent nutritional and medicinal value.
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Affiliation(s)
- Ming He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yuqi He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
| | - Kaixuan Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
| | - Xiang Lu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Xuemei Zhang
- Annoroad Gene Technology (Beijing) Co. Ltd, Beijing, 100176, China
| | - Bin Gao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
| | - Yu Fan
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Hui Zhao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
| | - Rintu Jha
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
| | - Md Nurul Huda
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
| | - Yu Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
| | - Junzhen Wang
- Research Station of Alpine Crop, Xichang Institute of Agricultural Sciences, Liangshan, 616150, Sichuan, China
| | - Weifei Yang
- Annoroad Gene Technology (Beijing) Co. Ltd, Beijing, 100176, China
| | - Mingli Yan
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Jianping Cheng
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Jingjun Ruan
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Ehsan Dulloo
- The Alliance of Bioversity International and CIAT, Via di San Domenico, 100153, Rome, Italy
| | - Zongwen Zhang
- The Alliance of Bioversity International and CIAT, Via di San Domenico, 100153, Rome, Italy
| | - Milen I Georgiev
- Group of Plant Cell Biotechnology and Metabolomics, The Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, 4002, Plovdiv, Bulgaria
- Center of Plant Systems Biology and Biotechnology, 4002, Plovdiv, Bulgaria
| | - Mark A Chapman
- Biological Sciences, University of Southampton, Life Sciences Building 85, Highfield Campus, Southampton, SO17 1BJ, UK
| | - Meiliang Zhou
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Genebank Building, Zhongguancun South Street no. 12, Haidian District, Beijing, 100081, China
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Liu Z, Xing L, Huang W, Liu B, Wan F, Raffa KF, Hofstetter RW, Qian W, Sun J. Chromosome-level genome assembly and population genomic analyses provide insights into adaptive evolution of the red turpentine beetle, Dendroctonus valens. BMC Biol 2022; 20:190. [PMID: 36002826 PMCID: PMC9400205 DOI: 10.1186/s12915-022-01388-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 08/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Biological invasions are responsible for substantial environmental and economic losses. The red turpentine beetle (RTB), Dendroctonus valens LeConte, is an important invasive bark beetle from North America that has caused substantial tree mortality in China. The lack of a high-quality reference genome seriously limits deciphering the extent to which genetic adaptions resulted in a secondary pest becoming so destructive in its invaded area. RESULTS Here, we present a 322.41 Mb chromosome-scale reference genome of RTB, of which 98% of assembled sequences are anchored onto fourteen linkage groups including the X chromosome with a N50 size of 24.36 Mb, which is significantly greater than other Coleoptera species. Repetitive sequences make up 45.22% of the genome, which is higher than four other Coleoptera species, i.e., Mountain pine beetle Dendroctonus ponderosae, red flour beetle Tribolium castaneum, blister beetle Hycleus cichorii, and Colorado potato beetle Leptinotarsa decemlineata. We identify rapidly expanded gene families and positively selected genes in RTB, which may be responsible for its rapid environmental adaptation. Population genetic structure of RTB was revealed by genome resequencing of geographic populations in native and invaded regions, suggesting substantial divergence of the North American population and illustrates the possible invasion and spread route in China. Selective sweep analysis highlighted the enhanced ability of Chinese populations in environmental adaptation. CONCLUSIONS Overall, our high-quality reference genome represents an important resource for genomics study of invasive bark beetles, which will facilitate the functional study and decipher mechanism underlying invasion success of RTB by integrating the Pinus tabuliformis genome.
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Affiliation(s)
- Zhudong Liu
- College of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, 071002, China.,State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 1000101, China
| | - Longsheng Xing
- College of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, 071002, China.,Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | | | - Bo Liu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Fanghao Wan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Kenneth F Raffa
- Department of Entomology, University of Wisconsin, Madison, WI, 53706, USA
| | | | - Wanqiang Qian
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
| | - Jianghua Sun
- College of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, 071002, China. .,State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 1000101, China.
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38
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Li M, Yang X, Fan F, Ge Y, Hong D, Wang Z, Lu C, Chen S, Wei G. De novo genome assembly of Bradysia cellarum (Diptera: Sciaridae), a notorious pest in traditional special vegetables in China. INSECT MOLECULAR BIOLOGY 2022; 31:508-518. [PMID: 35389542 DOI: 10.1111/imb.12776] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 02/28/2022] [Accepted: 04/04/2022] [Indexed: 06/14/2023]
Abstract
Bradysia cellarum (Diptera: Sciaridae) is a destructive vegetable insect pest infesting more than 30 species of host plants from seven families in Asia and Europe. B. cellarum causes grave problems in Chinese chive, which originated in China and is cultivated widely in East Asia. The B. cellarum infestation results in economic losses and subsequent severe food safety problems in farm productions, insecticide resistance and environmental pollution. The genomic and molecular information of B. cellarum to delineate the biological features, insecticide resistance, evolution remains poorly understood. Herein, we decode the whole genome of B. cellarum to delineate the underlying molecular mechanisms causing insecticide resistance. We constructed a highly reliable genome for B. cellarum using PacBio, Illumina and 10X Genomics sequencing platforms. The genome size of B. cellarum was 375.91 Mb with a contig N50 of 1.57 Mb. A total of 16,231 genes were identified, among which 93.8% were functionally annotated, and 42.06% were repeat sequences. According to phylogenetic analysis, B. cellarum diverged from the common ancestor of Drosophila melanogaster and Musca domestica ~139.3-191.0 million years ago. Moreover, some important genes responsible for significant insecticide resistance, such as cytochrome P450s, ABC transporters and those involved in glutathione metabolism, were expanded in B. cellarum. We assembled a high-quality B. cellarum genome to provide valuable insights into their life history strategies, insecticide resistance and biological behaviours. It also lays the foundation for exploring gene structure and functional evolution, as well as comparative genomics of B. cellarum and other model insect species.
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Affiliation(s)
- Mengyao Li
- College of Plant Protection, Hebei Agricultural University, Baoding, China
| | - Xiaofan Yang
- Plant protection Institute, Hebei Academy of Agricultural and Forestry Sciences, Baoding, China
| | - Fan Fan
- College of Plant Protection, Hebei Agricultural University, Baoding, China
| | - Yafei Ge
- College of Plant Protection, Hebei Agricultural University, Baoding, China
| | - Dawei Hong
- College of Plant Science, Tibet Agricultural and Animal Husbandry University, Nyingchi, Tibet, China
| | - Zhongyan Wang
- The Technical Education Centre of Nangong City, Xingtai, China
| | - Chenyan Lu
- College of Plant Science&Technology, Huazhong Agricultural University, Wuhan, China
| | - Suyi Chen
- College of Plant Protection, China Agricultural University, Beijing, China
| | - Guoshu Wei
- College of Plant Protection, Hebei Agricultural University, Baoding, China
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39
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Deák G, Cook AG. Missense Variants Reveal Functional Insights Into the Human ARID Family of Gene Regulators. J Mol Biol 2022; 434:167529. [PMID: 35257783 PMCID: PMC9077328 DOI: 10.1016/j.jmb.2022.167529] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/10/2022] [Accepted: 03/01/2022] [Indexed: 11/16/2022]
Abstract
Missense variants are alterations to protein coding sequences that result in amino acid substitutions. They can be deleterious if the amino acid is required for maintaining structure or/and function, but are likely to be tolerated at other sites. Consequently, missense variation within a healthy population can mirror the effects of negative selection on protein structure and function, such that functional sites on proteins are often depleted of missense variants. Advances in high-throughput sequencing have dramatically increased the sample size of available human variation data, allowing for population-wide analysis of selective pressures. In this study, we developed a convenient set of tools, called 1D-to-3D, for visualizing the positions of missense variants on protein sequences and structures. We used these tools to characterize human homologues of the ARID family of gene regulators. ARID family members are implicated in multiple cancer types, developmental disorders, and immunological diseases but current understanding of their mechanistic roles is incomplete. Combined with phylogenetic and structural analyses, our approach allowed us to characterise sites important for protein-protein interactions, histone modification recognition, and DNA binding by the ARID proteins. We find that comparing missense depletion patterns among paralogs can reveal sub-functionalization at the level of domains. We propose that visualizing missense variants and their depletion on structures can serve as a valuable tool for complementing evolutionary and experimental findings.
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Affiliation(s)
- Gauri Deák
- Wellcome Centre for Cell Biology, University of Edinburgh, Michael Swann Building, Max Born Crescent, Edinburgh EH9 3BF, United Kingdom. https://twitter.com/GauriDeak
| | - Atlanta G Cook
- Wellcome Centre for Cell Biology, University of Edinburgh, Michael Swann Building, Max Born Crescent, Edinburgh EH9 3BF, United Kingdom.
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40
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Genomic signatures of high-altitude adaptation and chromosomal polymorphism in geladas. Nat Ecol Evol 2022; 6:630-643. [PMID: 35332281 PMCID: PMC9090980 DOI: 10.1038/s41559-022-01703-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/15/2022] [Indexed: 01/31/2023]
Abstract
Primates have adapted to numerous environments and lifestyles, but very few species are native to high elevations. Here, we investigated high-altitude adaptations in the gelada (Theropithecus gelada), a monkey endemic to the Ethiopian Plateau. We examined genome-wide variation in conjunction with measurements of hematological and morphological traits. Our new gelada reference genome is highly intact and assembled at chromosome-length levels. Unexpectedly, we identified a chromosomal polymorphism in geladas that could potentially contribute to reproductive barriers between populations. Compared to baboons at low altitude, we found that high-altitude geladas exhibit significantly expanded chest circumferences, potentially allowing for greater lung surface area for increased oxygen diffusion. We identified gelada-specific amino acid substitutions in the alpha-chain subunit of adult hemoglobin but found that gelada hemoglobin does not exhibit markedly altered oxygenation properties compared to lowland primates. We also found that geladas at high altitude do not exhibit elevated blood hemoglobin concentrations, in contrast to the normal acclimatization response to hypoxia in lowland primates. The absence of altitude-related polycythemia suggests that geladas are able to sustain adequate tissue-oxygen delivery despite environmental hypoxia. Finally, we identified numerous genes and genomic regions exhibiting accelerated rates of evolution, as well as gene families exhibiting expansions in the gelada lineage, potentially reflecting altitude-related selection. Our findings lend insight into putative mechanisms of high-altitude adaptation while suggesting promising avenues for functional hypoxia research.
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41
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Chen Y, Zhang T, Xian M, Zhang R, Yang W, Su B, Yang G, Sun L, Xu W, Xu S, Gao H, Xu L, Gao X, Li J. A draft genome of Drung cattle reveals clues to its chromosomal fusion and environmental adaptation. Commun Biol 2022; 5:353. [PMID: 35418663 PMCID: PMC9008013 DOI: 10.1038/s42003-022-03298-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 03/21/2022] [Indexed: 12/02/2022] Open
Abstract
Drung cattle (Bos frontalis) have 58 chromosomes, differing from the Bos taurus 2n = 60 karyotype. To date, its origin and evolution history have not been proven conclusively, and the mechanisms of chromosome fusion and environmental adaptation have not been clearly elucidated. Here, we assembled a high integrity and good contiguity genome of Drung cattle with 13.7-fold contig N50 and 4.1-fold scaffold N50 improvements over the recently published Indian mithun assembly, respectively. Speciation time estimation and phylogenetic analysis showed that Drung cattle diverged from Bos taurus into an independent evolutionary clade. Sequence evidence of centromere regions provides clues to the breakpoints in BTA2 and BTA28 centromere satellites. We furthermore integrated a circulation and contraction-related biological process involving 43 evolutionary genes that participated in pathways associated with the evolution of the cardiovascular system. These findings may have important implications for understanding the molecular mechanisms of chromosome fusion, alpine valleys adaptability and cardiovascular function.
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Affiliation(s)
- Yan Chen
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Tianliu Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Ming Xian
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Rui Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Weifei Yang
- 1 Gene Co., Ltd, 310051, Hangzhou, P.R. China
- Annoroad Gene Technology (Beijing) Co., Ltd, 100176, Beijing, P.R. China
| | - Baqi Su
- Drung Cattle Conservation Farm in Jiudang Wood, Drung and Nu Minority Autonomous County, Gongshan, 673500, Kunming, Yunnan, P.R. China
| | - Guoqiang Yang
- Livestock and Poultry Breed Improvement Center, Nujiang Lisu Minority Autonomous Prefecture, 673199, Kunming, Yunnan, P.R. China
| | - Limin Sun
- Yunnan Animal Husbandry Service, 650224, Kunming, Yunnan, P.R. China
| | - Wenkun Xu
- Yunnan Animal Husbandry Service, 650224, Kunming, Yunnan, P.R. China
| | - Shangzhong Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Huijiang Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Lingyang Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Xue Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China.
| | - Junya Li
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China.
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Engel SR, Wong ED, Nash RS, Aleksander S, Alexander M, Douglass E, Karra K, Miyasato SR, Simison M, Skrzypek MS, Weng S, Cherry JM. New data and collaborations at the Saccharomyces Genome Database: updated reference genome, alleles, and the Alliance of Genome Resources. Genetics 2022; 220:iyab224. [PMID: 34897464 PMCID: PMC9209811 DOI: 10.1093/genetics/iyab224] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 11/11/2021] [Indexed: 02/03/2023] Open
Abstract
Saccharomyces cerevisiae is used to provide fundamental understanding of eukaryotic genetics, gene product function, and cellular biological processes. Saccharomyces Genome Database (SGD) has been supporting the yeast research community since 1993, serving as its de facto hub. Over the years, SGD has maintained the genetic nomenclature, chromosome maps, and functional annotation, and developed various tools and methods for analysis and curation of a variety of emerging data types. More recently, SGD and six other model organism focused knowledgebases have come together to create the Alliance of Genome Resources to develop sustainable genome information resources that promote and support the use of various model organisms to understand the genetic and genomic bases of human biology and disease. Here we describe recent activities at SGD, including the latest reference genome annotation update, the development of a curation system for mutant alleles, and new pages addressing homology across model organisms as well as the use of yeast to study human disease.
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Affiliation(s)
- Stacia R Engel
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Edith D Wong
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Robert S Nash
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Suzi Aleksander
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Micheal Alexander
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Eric Douglass
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Kalpana Karra
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Stuart R Miyasato
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Matt Simison
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Marek S Skrzypek
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - Shuai Weng
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
| | - J Michael Cherry
- Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
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43
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Pan C, Wu Q, Feng N. A systematic pan-cancer study demonstrates the oncogenic function of heterogeneous nuclear ribonucleoprotein C. Aging (Albany NY) 2022; 14:2880-2901. [PMID: 35344508 PMCID: PMC9004556 DOI: 10.18632/aging.203981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/14/2022] [Indexed: 12/24/2022]
Abstract
Although complex links between heterogeneous nuclear ribonucleoprotein C (HNRNPC) and numerous types of cancer have been shown in both cell and animal models, a comprehensive pan-cancer investigation on the features and activities of HNRNPC is still lacking. Based on the Cancer Genome Atlas and Gene Expression Omnibus datasets, we investigated the possible oncogenic effects of HNRNPC in thirty-three cancers. HNRNPC expression was detected in the majority of cancers, and its expression level was shown to be significantly linked with cancer patient prognosis. HNRNPC increased the phosphorylation of S220, which was detected in various cancers, including ovarian cancer and colon cancer. HNRNPC expression was also shown to be related to cancer-associated cell infiltration, most notably in uveal melanoma, testicular germ cell tumors, and thymoma. Additionally, the signaling pathway for vascular endothelial growth factors and RNA transport were implicated in HNRNPC's functioning processes. In short, HNRNPC may further influence cancer progression through gene mutation, protein phosphorylation, cancer associated fibroblasts infiltration and related molecular pathways. This work was intended to provide a relatively thorough knowledge of the oncogenic activities of HNRNPC across a variety of tumor types by performing a systematic pan-cancer investigation.
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Affiliation(s)
- Chenxi Pan
- Key Laboratory of Fermentation Engineering (Ministry of Education), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei Key Laboratory of Industrial Microbiology, Hubei Research Center of Food Fermentation Engineering and Technology, Hubei University of Technology, Wuhan 430068, China.,The Second Affiliated Hospital of Dalian Medical University, Dalian 116027, China
| | - Qian Wu
- Key Laboratory of Fermentation Engineering (Ministry of Education), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei Key Laboratory of Industrial Microbiology, Hubei Research Center of Food Fermentation Engineering and Technology, Hubei University of Technology, Wuhan 430068, China
| | - Nianjie Feng
- Key Laboratory of Fermentation Engineering (Ministry of Education), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei Key Laboratory of Industrial Microbiology, Hubei Research Center of Food Fermentation Engineering and Technology, Hubei University of Technology, Wuhan 430068, China
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44
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Lan T, Fang D, Li H, Sahu SK, Wang Q, Yuan H, Zhu Y, Yang Z, Zhang L, Yang S, Lu H, Han L, Zhang S, Yu J, Mahmmod YS, Xu Y, Hua Y, He F, Yuan Z, Liu H. Chromosome-Scale Genome of Masked Palm Civet (Paguma larvata) Shows Genomic Signatures of Its Biological Characteristics and Evolution. Front Genet 2022; 12:819493. [PMID: 35126472 PMCID: PMC8815822 DOI: 10.3389/fgene.2021.819493] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 12/08/2021] [Indexed: 12/22/2022] Open
Abstract
The masked palm civet (Paguma larvata) is a small carnivore with distinct biological characteristics, that likes an omnivorous diet and also serves as a vector of pathogens. Although this species is not an endangered animal, its population is reportedly declining. Since the severe acute respiratory syndrome (SARS) epidemic in 2003, the public has been particularly concerned about this species. Here, we present the first genome of the P. larvata, comprising 22 chromosomes assembled using single-tube long fragment read (stLFR) and Hi-C technologies. The genome length is 2.41 Gb with a scaffold N50 of 105.6 Mb. We identified the 107.13 Mb X chromosome and one 1.34 Mb Y-linked scaffold and validated them by resequencing 45 P. larvata individuals. We predicted 18,340 protein-coding genes, among which 18,333 genes were functionally annotated. Interestingly, several biological pathways related to immune defenses were found to be significantly expanded. Also, more than 40% of the enriched pathways on the positively selected genes (PSGs) were identified to be closely related to immunity and survival. These enriched gene families were inferred to be essential for the P. larvata for defense against the pathogens. However, we did not find a direct genomic basis for its adaptation to omnivorous diet despite multiple attempts of comparative genomic analysis. In addition, we evaluated the susceptibility of the P. larvata to the SARS-CoV-2 by screening the RNA expression of the ACE2 and TMPRSS2/TMPRSS4 genes in 16 organs. Finally, we explored the genome-wide heterozygosity and compared it with other animals to evaluate the population status of this species. Taken together, this chromosome-scale genome of the P. larvata provides a necessary resource and insights for understanding the genetic basis of its biological characteristics, evolution, and disease transmission control.
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Affiliation(s)
- Tianming Lan
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
| | - Dongming Fang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
| | - Haimeng Li
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
| | - Qing Wang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Hao Yuan
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
| | - Yixin Zhu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Zipeng Yang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
| | - Le Zhang
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Shangchen Yang
- College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Haorong Lu
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, China
| | - Lei Han
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Shaofang Zhang
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, China
| | - Jieyao Yu
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, China
| | - Yasser S. Mahmmod
- Department of Veterinary Sciences, Faculty of Health Sciences, Higher Colleges of Technology, Al Ain, United Arab Emirates
- Division of Infectious Diseases, Department of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt
| | - Yanchun Xu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Yan Hua
- Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou, China
| | - Fengping He
- College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
- *Correspondence: Huan Liu, ; Ziguo Yuan, ; Fengping He,
| | - Ziguo Yuan
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
- *Correspondence: Huan Liu, ; Ziguo Yuan, ; Fengping He,
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, China
- *Correspondence: Huan Liu, ; Ziguo Yuan, ; Fengping He,
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45
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Cornejo-Paramo P, Roper K, Degnan S, Degnan B, Wong ES. Distal regulation, silencers, and a shared combinatorial syntax are hallmarks of animal embryogenesis. Genome Res 2022; 32:474-487. [PMID: 35045977 PMCID: PMC8896464 DOI: 10.1101/gr.275864.121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 01/12/2022] [Indexed: 11/25/2022]
Abstract
The chromatin environment plays a central role in regulating developmental gene expression in metazoans. Yet, the ancestral regulatory landscape of metazoan embryogenesis is unknown. Here, we generate chromatin accessibility profiles for six embryonic, plus larval and adult stages in the sponge Amphimedon queenslandica. These profiles are reproducible within stages, reflect histone modifications, and identify transcription factor (TF) binding sequence motifs predictive of cis-regulatory elements operating during embryogenesis in other metazoans, but not the unicellular relative Capsaspora. Motif analysis of chromatin accessibility profiles across Amphimedon embryogenesis identifies three major developmental periods. As in bilaterian embryogenesis, early development in Amphimedon involves activating and repressive chromatin in regions both proximal and distal to transcription start sites. Transcriptionally repressive elements (“silencers”) are prominent during late embryogenesis. They coincide with an increase in cis-regulatory regions harboring metazoan TF binding motifs, as well as an increase in the expression of metazoan-specific genes. Changes in chromatin state and gene expression in Amphimedon suggest the conservation of distal enhancers, dynamically silenced chromatin, and TF-DNA binding specificity in animal embryogenesis.
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46
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Li S, Liu K, Cui A, Hao X, Wang B, Wang HY, Jiang Y, Wang Q, Feng B, Xu Y, Shao C, Liu X. A Chromosome-Level Genome Assembly of Yellowtail Kingfish (Seriola lalandi). Front Genet 2022; 12:825742. [PMID: 35126476 PMCID: PMC8807568 DOI: 10.3389/fgene.2021.825742] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 12/22/2021] [Indexed: 11/25/2022] Open
Abstract
Yellowtail kingfish (Seriola lalandi) is a pelagic marine piscivore with a circumglobal distribution. It is particularly suitable for open ocean aquaculture owing to its large body size, fast swimming, rapid growth, and high economic value. A high-precision genome is of great significance for future genetic breeding research and large-scale aquaculture in the open ocean. PacBio, Illumina, and Hi-C data were combined to assemble chromosome-level reference genome with the size of 648.34 Mb (contig N50: 28.52 Mb). 175 contigs was anchored onto 24 chromosomes with lengths ranging from 12.28 to 34.59 Mb, and 99.79% of the whole genome sequence was covered. The BUSCOs of genome and gene were 94.20 and 95.70%, respectively. Gene families associated with adaptive behaviors, such as olfactory receptors and HSP70 gene families, expanded in the genome of S. lalandi. An analysis of selection pressure revealed 652 fast-evolving genes, among which mkxb, popdc2, dlx6, and ifitm5 may be related to rapid growth traits. The data generated in this study provide a valuable resource for understanding the genetic basis of S. lalandi traits.
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Affiliation(s)
- Shuo Li
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- China State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts, Ningbo University, Ningbo, China
| | - Kaiqiang Liu
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Aijun Cui
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Xiancai Hao
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Bin Wang
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Hong-Yan Wang
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Yan Jiang
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Qian Wang
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Bo Feng
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Yongjiang Xu
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- *Correspondence: Yongjiang Xu, ; Changwei Shao,
| | - Changwei Shao
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- *Correspondence: Yongjiang Xu, ; Changwei Shao,
| | - Xuezhou Liu
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
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47
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Xue DX, Xing TF, Liu JX. A high-quality chromosome-level genome of the endangered roughskin sculpin provides insights into its evolution and adaptation. Mol Ecol Resour 2022; 22:1892-1905. [PMID: 35007382 DOI: 10.1111/1755-0998.13582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 12/22/2021] [Accepted: 01/05/2022] [Indexed: 11/30/2022]
Abstract
The cottids (Cottidae) are a taxonomically diverse and ecologically important component of many marine and freshwater ecosystems. Despite recent breakthroughs in long-read sequencing, high quality genomic resources are still limited for studies of ecological and evolutionary processes in cottids. Here we generated a high-quality, chromosome-scale genome assembly (521.26 Mb) of the catadromous roughskin sculpin (Trachidermus fasciatus Heckel) with a contig N50 of 2.93 Mb and a scaffold N50 of 24.06 Mb. Approximately 21.97% of the genome was composed of repetitive elements. A total of 21,872 protein-coding genes were predicted, of which 19,900 genes (90.98%) were functionally annotated. Phylogenetic analysis supported the validity of Scorpaenoidei and Cottioidei as two suborders of the Perciformes. Chromosome-scale collinearity analyses identified four chromosome fusions leading to the reduction of chromosome number in T. fasciatus. Gene families related to cell apoptosis and cell death were expanded and those related to immune system were contracted, suggesting that these gene families might be relevant to a host of phenotypic differences between T. fasciatus and other teleosts. Gene families associated with osmoregulation were also expanded, which might be associated with its catadromous life history. A total of 50 aging-associated genes were found to be under positive selection, which might be associated with the short lifespan of T. fasciatus. The high-quality genome assembly and annotation will promote researches into the evolution of catadromous life history and short lifespan for T. fasciatus and facilitate comparative genomic studies of cottids in the near future.
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Affiliation(s)
- Dong-Xiu Xue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Teng-Fei Xing
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Jin-Xian Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
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48
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Wu B, Chen X, Yu M, Ren J, Hu J, Shao C, Zhou L, Sun X, Yu T, Zheng Y, Wang Y, Wang Z, Zhang H, Fan G, Liu Z. Chromosome-level genome and population genomic analysis provide insights into the evolution and environmental adaptation of Jinjiang oyster Crassostrea ariakensis. Mol Ecol Resour 2021; 22:1529-1544. [PMID: 34800349 DOI: 10.1111/1755-0998.13556] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 10/18/2021] [Accepted: 11/02/2021] [Indexed: 01/08/2023]
Abstract
The Jinjiang oyster Crassostrea ariakensis, naturally distributing in estuarine regions with low salinity, is an important economic and ecological species in China. However, studies on its genomics and population genetics remain lacking. Here, we assembled the chromosome-level genome of a female C. ariakensis and re-sequenced 261 individuals from five locations in China representing three typical habitats. The C. ariakensis genome was 662.9 Mb with contig N50 length of 5.9 Mb using PacBio HiFi-CCS long reads, and 99.83% sequences were anchored onto 10 pseudochromosomes using Hi-C data. A total of 26,354 protein-coding genes were predicted. We identified three significantly expanded gene families which are closely associated with osmotic pressure regulation, including CDO, SLC13 and SDR. Population structure analysis revealed that the C. ariakensis from five locations were clustered into three typical groups (northern, southern and Shanghai) (K = 3) and their phylogenetic relationship was consistently correlated to their geographical distribution. Furtherly, the differentiation between northern and southern groups was clearly demonstrated by estimated population differentiation coefficient (FST = 0.1154), and the PSMC distribution showed the two groups of effective population size separated at 0.1 Ma. Meanwhile gene flow from southern to Shanghai was detected. Selective sweep analysis between northern and southern group detected genes associated with heat response and salinity adaptation. This study could provide valuable genomic resources and information for further research on the molecular evolution, genetic breeding, biological function and evolutionary adaptation of C. ariakensis.
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Affiliation(s)
- Biao Wu
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Xi Chen
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China.,National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, China
| | - Mengjun Yu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China
| | - Jianfeng Ren
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, China
| | - Jie Hu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China
| | - Changwei Shao
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Liqing Zhou
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Xiujun Sun
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Tao Yu
- Changdao Enhancement and Experiment Station, Chinese Academy of Fishery Sciences, Yantai, China
| | - Yanxin Zheng
- Changdao Enhancement and Experiment Station, Chinese Academy of Fishery Sciences, Yantai, China
| | - Yan Wang
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China.,National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, China
| | - Zhenyuan Wang
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China.,National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, China
| | - He Zhang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China
| | - Guangyi Fan
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China.,State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China
| | - Zhihong Liu
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
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49
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Xie D, Chen G, Meng X, Wang H, Bi X, Fang M, Yang C, Zhou Y, Long E, Feng S. Comparable Number of Genes Having Experienced Positive Selection among Great Ape Species. Animals (Basel) 2021; 11:ani11113264. [PMID: 34827995 PMCID: PMC8614513 DOI: 10.3390/ani11113264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 10/29/2021] [Accepted: 11/10/2021] [Indexed: 11/29/2022] Open
Abstract
Simple Summary It is of great interest to quantify adaptive evolution in human lineage by studying genes under positive selection, since these genes could reveal insights into our own adaptive evolutionary history compared to our closely related species and often these genes are functionally important. We used the great apes as the subjects to detect gene-level adaptive evolution signals in all the great ape lineages and investigated the evolutionary patterns and functional relevance of these adaptive evolution signals. Even the differences in population size among these closely related great apes have resulted in differences in their ability to remove deleterious alleles and to adapt to changing environments, we found that they experienced comparable numbers of positive selection. Notably, we identified several genes that offer insights into great ape and human evolution. For example, SOD1, a gene associated with aging in humans, experienced positive selection in the common ancestor of the great ape and this positive selection may contribute to the aging evolution in great apes. Overall, an updated list of positively selected genes reported by this study not only informs us of adaptive evolution during great ape evolution, but is also helpful to the further study of non-human primate models for disease and other fields. Abstract Alleles that cause advantageous phenotypes with positive selection contribute to adaptive evolution. Investigations of positive selection in protein-coding genes rely on the accuracy of orthology, models, the quality of assemblies, and alignment. Here, based on the latest genome assemblies and gene annotations, we present a comparative analysis on positive selection in four great ape species and identify 211 high-confidence positively selected genes (PSGs). Even the differences in population size among these closely related great apes have resulted in differences in their ability to remove deleterious alleles and to adapt to changing environments, we found that they experienced comparable numbers of positive selection. We also uncovered that more than half of multigene families exhibited signals of positive selection, suggesting that imbalanced positive selection resulted in the functional divergence of duplicates. Moreover, at the expression level, although positive selection led to a more non-uniform pattern across tissues, the correlation between positive selection and expression patterns is diverse. Overall, this updated list of PSGs is of great significance for the further study of the phenotypic evolution in great apes.
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Affiliation(s)
- Duo Xie
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
- Correspondence: (D.X.); (S.F.)
| | - Guangji Chen
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Xiaoyu Meng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; (X.M.); (H.W.)
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650223, China
| | - Haotian Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; (X.M.); (H.W.)
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650223, China
| | - Xupeng Bi
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Miaoquan Fang
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Chentao Yang
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Yang Zhou
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Erping Long
- Laboratory of Translational Genomics, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20850, USA;
| | - Shaohong Feng
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
- Correspondence: (D.X.); (S.F.)
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50
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Xiao L, Yu M, Zhang Y, Hu J, Zhang R, Wang J, Guo H, Zhang H, Guo X, Deng T, Lv S, Li X, Huang J, Fan G. Chromosome-scale assembly reveals asymmetric paleo-subgenome evolution and targets for the acceleration of fungal resistance breeding in the nut crop, pecan. PLANT COMMUNICATIONS 2021; 2:100247. [PMID: 34778752 PMCID: PMC8577110 DOI: 10.1016/j.xplc.2021.100247] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/18/2021] [Accepted: 09/22/2021] [Indexed: 05/16/2023]
Abstract
Pecan (Carya illinoinensis) is a tree nut crop of worldwide economic importance that is rich in health-promoting factors. However, pecan production and nut quality are greatly challenged by environmental stresses such as the outbreak of severe fungal diseases. Here, we report a high-quality, chromosome-scale genome assembly of the controlled-cross pecan cultivar 'Pawnee' constructed by integrating Nanopore sequencing and Hi-C technologies. Phylogenetic and evolutionary analyses reveal two whole-genome duplication (WGD) events and two paleo-subgenomes in pecan and walnut. Time estimates suggest that the recent WGD event and considerable genome rearrangements in pecan and walnut account for expansions in genome size and chromosome number after the divergence from bayberry. The two paleo-subgenomes differ in size and protein-coding gene sets. They exhibit uneven ancient gene loss, asymmetrical distribution of transposable elements (especially LTR/Copia and LTR/Gypsy), and expansions in transcription factor families (such as the extreme pecan-specific expansion in the far-red impaired response 1 family), which are likely to reflect the long evolutionary history of species in the Juglandaceae. A whole-genome scan of resequencing data from 86 pecan scab-associated core accessions identified 47 chromosome regions containing 185 putative candidate genes. Significant changes were detected in the expression of candidate genes associated with the chitin response pathway under chitin treatment in the scab-resistant and scab-susceptible cultivars 'Excell' and 'Pawnee'. These findings enable us to identify key genes that may be important susceptibility factors for fungal diseases in pecan. The high-quality sequences are valuable resources for pecan breeders and will provide a foundation for the production and quality improvement of tree nut crops.
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Affiliation(s)
- Lihong Xiao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, No. 666 Wusu St. Lin'an District, Hangzhou 311300, China
- Corresponding author
| | - Mengjun Yu
- BGI-Qingdao, BGI-Shenzhen, No. 2 Hengyunshan Rd. Huangdao District, Qingdao 266555, China
| | - Ying Zhang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, No. 666 Wusu St. Lin'an District, Hangzhou 311300, China
| | - Jie Hu
- BGI-Qingdao, BGI-Shenzhen, No. 2 Hengyunshan Rd. Huangdao District, Qingdao 266555, China
| | - Rui Zhang
- BGI-Qingdao, BGI-Shenzhen, No. 2 Hengyunshan Rd. Huangdao District, Qingdao 266555, China
| | - Jianhua Wang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, No. 666 Wusu St. Lin'an District, Hangzhou 311300, China
| | - Haobing Guo
- BGI-Qingdao, BGI-Shenzhen, No. 2 Hengyunshan Rd. Huangdao District, Qingdao 266555, China
| | - He Zhang
- BGI-Qingdao, BGI-Shenzhen, No. 2 Hengyunshan Rd. Huangdao District, Qingdao 266555, China
| | - Xinyu Guo
- BGI-Qingdao, BGI-Shenzhen, No. 2 Hengyunshan Rd. Huangdao District, Qingdao 266555, China
| | | | - Saibin Lv
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, No. 666 Wusu St. Lin'an District, Hangzhou 311300, China
| | - Xuan Li
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, No. 666 Wusu St. Lin'an District, Hangzhou 311300, China
| | - Jianqin Huang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, No. 666 Wusu St. Lin'an District, Hangzhou 311300, China
| | - Guangyi Fan
- BGI-Qingdao, BGI-Shenzhen, No. 2 Hengyunshan Rd. Huangdao District, Qingdao 266555, China
- Corresponding author
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