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Hu Y, Wang X, Xu Y, Yang H, Tong Z, Tian R, Xu S, Yu L, Guo Y, Shi P, Huang S, Yang G, Shi S, Wei F. Molecular mechanisms of adaptive evolution in wild animals and plants. SCIENCE CHINA. LIFE SCIENCES 2023; 66:453-495. [PMID: 36648611 PMCID: PMC9843154 DOI: 10.1007/s11427-022-2233-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 08/30/2022] [Indexed: 01/18/2023]
Abstract
Wild animals and plants have developed a variety of adaptive traits driven by adaptive evolution, an important strategy for species survival and persistence. Uncovering the molecular mechanisms of adaptive evolution is the key to understanding species diversification, phenotypic convergence, and inter-species interaction. As the genome sequences of more and more non-model organisms are becoming available, the focus of studies on molecular mechanisms of adaptive evolution has shifted from the candidate gene method to genetic mapping based on genome-wide scanning. In this study, we reviewed the latest research advances in wild animals and plants, focusing on adaptive traits, convergent evolution, and coevolution. Firstly, we focused on the adaptive evolution of morphological, behavioral, and physiological traits. Secondly, we reviewed the phenotypic convergences of life history traits and responding to environmental pressures, and the underlying molecular convergence mechanisms. Thirdly, we summarized the advances of coevolution, including the four main types: mutualism, parasitism, predation and competition. Overall, these latest advances greatly increase our understanding of the underlying molecular mechanisms for diverse adaptive traits and species interaction, demonstrating that the development of evolutionary biology has been greatly accelerated by multi-omics technologies. Finally, we highlighted the emerging trends and future prospects around the above three aspects of adaptive evolution.
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Affiliation(s)
- Yibo Hu
- CAS Key Lab of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Xiaoping Wang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China
| | - Yongchao Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Hui Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
| | - Zeyu Tong
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Ran Tian
- College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China
| | - Shaohua Xu
- State Key Laboratory of Biocontrol, Guangdong Key Lab of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China.
| | - Yalong Guo
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
| | - Peng Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China.
| | - Shuangquan Huang
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China.
| | - Guang Yang
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
- College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China.
| | - Suhua Shi
- State Key Laboratory of Biocontrol, Guangdong Key Lab of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
| | - Fuwen Wei
- CAS Key Lab of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
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Yin D, Chen C, Lin D, Zhang J, Ying C, Liu Y, Liu W, Cao Z, Zhao C, Wang C, Liang L, Xu P, Jian J, Liu K. Gapless genome assembly of East Asian finless porpoise. Sci Data 2022; 9:765. [PMID: 36513679 PMCID: PMC9747978 DOI: 10.1038/s41597-022-01868-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 11/23/2022] [Indexed: 12/14/2022] Open
Abstract
In recent years, conservation efforts have increased for rare and endangered aquatic wildlife, especially cetaceans. However, the East Asian finless porpoise (Neophocaena asiaeorientalis sunameri), which has a wide distribution in China, has received far less attention and protection. As an endangered small cetacean, the lack of a chromosomal-level reference for the East Asian finless porpoise limits our understanding of its population genetics and conservation biology. To address this issue, we combined PacBio HiFi long reads and Hi-C sequencing data to generate a gapless genome of the East Asian finless porpoise that is approximately 2.5 Gb in size over its 21 autosomes and two sex chromosomes (X and Y). A total of 22,814 protein-coding genes were predicted where ~97.31% were functionally annotated. This high-quality genome assembly of East Asian finless porpoise will not only provide new resources for the comparative genomics of cetaceans and conservation biology of threatened species, but also lay a foundation for more speciation, ecology, and evolutionary studies. Measurement(s) Neophocaena asiaeorientalis sunameri • Gapless genome assembly • sequence annotation Technology Type(s) MGISEQ. 2000 • PacBio HiFi Sequencing • Hi-C Sample Characteristic - Organism Neophocaena asiaeorientalis sunameri Sample Characteristic - Environment seawater Sample Characteristic - Location Yellow Sea near Lianyungang City, Jiangsu Province, China.
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Affiliation(s)
- Denghua Yin
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Chunhai Chen
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Danqing Lin
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Jialu Zhang
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Congping Ying
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, China
| | - Yan Liu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Wang Liu
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, China
| | - Zhichen Cao
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Chenxi Zhao
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Chenhe Wang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Liping Liang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Pao Xu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China.
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, China.
| | - Jianbo Jian
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
| | - Kai Liu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China.
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, China.
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China.
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3
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Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography. BMC Ecol Evol 2022; 22:88. [PMID: 35818031 PMCID: PMC9275043 DOI: 10.1186/s12862-022-02038-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 06/14/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
High levels of standing genomic variation in wide-ranging marine species may enhance prospects for their long-term persistence. Patterns of connectivity and adaptation in such species are often thought to be influenced by spatial factors, environmental heterogeneity, and oceanographic and geomorphological features. Population-level studies that analytically integrate genome-wide data with environmental information (i.e., seascape genomics) have the potential to inform the spatial distribution of adaptive diversity in wide-ranging marine species, such as many marine mammals. We assessed genotype-environment associations (GEAs) in 214 common dolphins (Delphinus delphis) along > 3000 km of the southern coast of Australia.
Results
We identified 747 candidate adaptive SNPs out of a filtered panel of 17,327 SNPs, and five putatively locally-adapted populations with high levels of standing genomic variation were disclosed along environmentally heterogeneous coasts. Current velocity, sea surface temperature, salinity, and primary productivity were the key environmental variables associated with genomic variation. These environmental variables are in turn related to three main oceanographic phenomena that are likely affecting the dispersal of common dolphins: (1) regional oceanographic circulation, (2) localised and seasonal upwellings, and (3) seasonal on-shelf circulation in protected coastal habitats. Signals of selection at exonic gene regions suggest that adaptive divergence is related to important metabolic traits.
Conclusion
To the best of our knowledge, this represents the first seascape genomics study for common dolphins (genus Delphinus). Information from the associations between populations and their environment can assist population management in forecasting the adaptive capacity of common dolphins to climate change and other anthropogenic impacts.
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Pratt EAL, Beheregaray LB, Bilgmann K, Zanardo N, Diaz-Aguirre F, Brauer C, Sandoval-Castillo J, Möller LM. Seascape genomics of coastal bottlenose dolphins along strong gradients of temperature and salinity. Mol Ecol 2022; 31:2223-2241. [PMID: 35146819 DOI: 10.1111/mec.16389] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 02/01/2022] [Accepted: 02/03/2022] [Indexed: 11/30/2022]
Abstract
Heterogeneous seascapes and strong environmental gradients in coastal waters are expected to influence adaptive divergence, particularly in species with large population sizes where selection is expected to be highly efficient. However, these influences might also extend to species characterized by strong social structure, natal philopatry and small home ranges. We implemented a seascape genomic study to test this hypothesis in Indo-Pacific bottlenose dolphins (Tursiops aduncus) distributed along the environmentally heterogeneous coast of southern Australia. The datasets included oceanographic and environmental variables thought to be good predictors of local adaptation in dolphins and 8,081 filtered single nucleotide polymorphisms (SNPs) genotyped for individuals sampled from seven different bioregions. From a neutral perspective, population structure and connectivity of the dolphins were generally influenced by habitat type and social structuring. Genotype-environment association analysis identified 241 candidate adaptive loci and revealed that sea surface temperature and salinity gradients influenced adaptive divergence in these animals at both large- (1,000s km) and fine-scales (<100 km). Enrichment analysis and annotation of candidate genes revealed functions related to sodium-activated ion transport, kidney development, adipogenesis and thermogenesis. The findings of spatial adaptive divergence and inferences of putative physiological adaptations challenge previous suggestions that marine megafauna is most likely to be affected by environmental and climatic changes via indirect, trophic effects. Our work contributes to conservation management of coastal bottlenose dolphins subjected to anthropogenic disturbance and to efforts of clarifying how seascape heterogeneity influences adaptive diversity and evolution in small cetaceans.
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Affiliation(s)
- Eleanor A L Pratt
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Kerstin Bilgmann
- Department of Biological Sciences, Macquarie University, 2109, New South Wales, Australia
| | - Nikki Zanardo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Department of Environment and Water, Adelaide, 5000, South Australia, Australia
| | - Fernando Diaz-Aguirre
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Chris Brauer
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Jonathan Sandoval-Castillo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Luciana M Möller
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
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5
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Yin D, Lin D, Guo H, Gu H, Ying C, Zhang Y, Zhang J, Liu K, Tang W. Integrated analysis of blood mRNAs and microRNAs reveals immune changes with age in the Yangtze finless porpoise (Neophocaena asiaeorientalis). Comp Biochem Physiol B Biochem Mol Biol 2021; 256:110635. [PMID: 34119650 DOI: 10.1016/j.cbpb.2021.110635] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/31/2021] [Accepted: 06/07/2021] [Indexed: 12/13/2022]
Abstract
Populations of Yangtze finless porpoises (YFPs) have rapidly declined in recent decades, raising the specter of extinction. In order to protect YFPs, a greater understanding of their biology is needed, including studying how their immune functioning changes with age. Here, we systematically studied the hematologic and biochemical parameters, as well as mRNAs and miRNAs profiles of old, adult, and young YFPs. The lymphocyte (LYMPH), neutrophils (NEUT) and eosinophils (EOS) counts in old YFPs were lower than those in young or adult YFPs. When comparing old to adult YFPs, the latter showed higher expression of genes associated with the innate and adaptive immune systems, including complement components, major histocompatibility complex, interleukins, TNF receptors, and chemokines/cytokines. When comparing old to young YFPs, the most striking difference was in higher toll-like receptor signaling in the latter. When comparing adult to young YFPs, the former exhibited higher expression of genes related to adaptive immunity and the FoxO signaling pathway, but lower expression of genes associated with the PI3K-Akt signaling pathway. Negative miRNA-mRNA interactions were predicted in comparisons of the old and adult (326), old and young (316), adult and young (211) groups. Overall, these results delineate a progression from early innate immune function dominance to adaptive immune function enhancement (young to adult) and deterioration (adult to old), and the changes in miRNAs profile correlate with the effects of age on immune functions. This study is the first to observe the changes of immune function of Yangtze finless porpoise with age using transcriptome method, and the study's findings are of great significance for protecting this endangered species.
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Affiliation(s)
- Denghua Yin
- Shanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai 201306, China; Scientific Observing and Experimental Station of Fishery Resources and Environment in the Lower Reaches of the Changjiang River, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, CAFS, WuXi 214081, China
| | - Danqing Lin
- Scientific Observing and Experimental Station of Fishery Resources and Environment in the Lower Reaches of the Changjiang River, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, CAFS, WuXi 214081, China
| | - Hongyi Guo
- Shanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai 201306, China
| | - Hailong Gu
- Shanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai 201306, China
| | - Congping Ying
- Scientific Observing and Experimental Station of Fishery Resources and Environment in the Lower Reaches of the Changjiang River, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, CAFS, WuXi 214081, China
| | - Ya Zhang
- Shanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai 201306, China
| | - Jialu Zhang
- Scientific Observing and Experimental Station of Fishery Resources and Environment in the Lower Reaches of the Changjiang River, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, CAFS, WuXi 214081, China
| | - Kai Liu
- Scientific Observing and Experimental Station of Fishery Resources and Environment in the Lower Reaches of the Changjiang River, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, CAFS, WuXi 214081, China.
| | - Wenqiao Tang
- Shanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai 201306, China.
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Wei J, Shi Q, Xiong L, Xin G, Yi T, Xiao Y, Huang W. Transcriptome profiling of cells exposed to particular and intense electromagnetic radiation emitted by the "SG-III" prototype laser facility. Sci Rep 2021; 11:2017. [PMID: 33479397 PMCID: PMC7820428 DOI: 10.1038/s41598-021-81642-5] [Citation(s) in RCA: 3] [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: 06/04/2020] [Accepted: 01/05/2021] [Indexed: 02/05/2023] Open
Abstract
The experiment of inertial confinement fusion by the "ShengGuang (SG)-III" prototype laser facility is a transient and extreme reaction process within several nanoseconds, which could form a very complicated and intense electromagnetic field around the target chamber of the facility and may lead to harmful effect on people around. In particular, the biological effects arising from such specific environment field could hardly be ignored and have never been investigated yet, and thus, we reported on the investigation of the biological effects of radiation on HaCat cells and PC12 cells to preliminarily assess the biological safety of the target range of the "SG-III" prototype laser facility. The viability revealed that the damage of cells was dose-dependent. Then we compared the transcriptomes of exposed and unexposed PC12 cells by RNA-Seq analysis based on Illumina Novaseq 6000 platform and found that most significantly differentially expressed genes with corresponding Gene Ontology terms and pathways were strongly involved in proliferation, transformation, necrosis, inflammation response, apoptosis and DNA damage. Furthermore, we find increase in the levels of several proteins responsible for cell-cycle regulation and tumor suppression, suggesting that pathways or mechanisms regarding DNA damage repair was are quickly activated. It was found that "SG-III" prototype radiation could induce DNA damage and promote apoptotic necrosis.
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Affiliation(s)
- Jiangbin Wei
- College of Materials Science and Engineering, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Qiwu Shi
- College of Materials Science and Engineering, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Lidan Xiong
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Guang Xin
- Laboratory of Ethnopharmacology, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Tao Yi
- Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang, 621900, China
| | - Yunqing Xiao
- Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang, 621900, China
| | - Wanxia Huang
- College of Materials Science and Engineering, Sichuan University, Chengdu, 610065, Sichuan, China.
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7
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Zhuang S, Hong H, Zhang L, Luo Y. Spoilage‐related microbiota in fish and crustaceans during storage: Research progress and future trends. Compr Rev Food Sci Food Saf 2020; 20:252-288. [DOI: 10.1111/1541-4337.12659] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 09/24/2020] [Accepted: 09/29/2020] [Indexed: 02/06/2023]
Affiliation(s)
- Shuai Zhuang
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering China Agricultural University Beijing China
| | - Hui Hong
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering China Agricultural University Beijing China
| | - Longteng Zhang
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering China Agricultural University Beijing China
| | - Yongkang Luo
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering China Agricultural University Beijing China
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Zhou X, Guang X, Sun D, Xu S, Li M, Seim I, Jie W, Yang L, Zhu Q, Xu J, Gao Q, Kaya A, Dou Q, Chen B, Ren W, Li S, Zhou K, Gladyshev VN, Nielsen R, Fang X, Yang G. Population genomics of finless porpoises reveal an incipient cetacean species adapted to freshwater. Nat Commun 2018; 9:1276. [PMID: 29636446 PMCID: PMC5893588 DOI: 10.1038/s41467-018-03722-x] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 03/07/2018] [Indexed: 12/20/2022] Open
Abstract
Cetaceans (whales, dolphins, and porpoises) are a group of mammals adapted to various aquatic habitats, from oceans to freshwater rivers. We report the sequencing, de novo assembly and analysis of a finless porpoise genome, and the re-sequencing of an additional 48 finless porpoise individuals. We use these data to reconstruct the demographic history of finless porpoises from their origin to the occupation into the Yangtze River. Analyses of selection between marine and freshwater porpoises identify genes associated with renal water homeostasis and urea cycle, such as urea transporter 2 and angiotensin I-converting enzyme 2, which are likely adaptations associated with the difference in osmotic stress between ocean and rivers. Our results strongly suggest that the critically endangered Yangtze finless porpoises are reproductively isolated from other porpoise populations and harbor unique genetic adaptations, supporting that they should be considered a unique incipient species. Whales, dolphins and porpoises are adapted to various aquatic habitats. Here, Zhou et al. show that polymorphisms associated with renal function and the urea cycle have undergone selection in the freshwater Yangtze finless porpoise and provide genomic evidence of incipient speciation.
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Affiliation(s)
- Xuming Zhou
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 210023, Nanjing, China.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard Medical School, Boston, MA, 02115, USA
| | - Xuanmin Guang
- BGI-Shenzhen, 518083, Shenzhen, China.,The Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, College of Life Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Di Sun
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 210023, Nanjing, China
| | - Shixia Xu
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 210023, Nanjing, China
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China
| | - Inge Seim
- Comparative and Endocrine Biology Laboratory, Translational Research Institute-Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Woolloongabba, QLD, 4102, Australia
| | | | | | | | - Jiabao Xu
- BGI-Shenzhen, 518083, Shenzhen, China
| | - Qiang Gao
- BGI-Shenzhen, 518083, Shenzhen, China
| | - Alaattin Kaya
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard Medical School, Boston, MA, 02115, USA
| | - Qianhui Dou
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard Medical School, Boston, MA, 02115, USA
| | - Bingyao Chen
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 210023, Nanjing, China
| | - Wenhua Ren
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 210023, Nanjing, China
| | - Shuaicheng Li
- Department of Computer Sciences, City University of Hong Kong, 999077, Hong Kong, China
| | - Kaiya Zhou
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 210023, Nanjing, China
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard Medical School, Boston, MA, 02115, USA
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California, Berkeley, CA, 94720, USA.
| | | | - Guang Yang
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 210023, Nanjing, China.
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9
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Li W, Suwanwela NC, Patumraj S. Curcumin prevents reperfusion injury following ischemic stroke in rats via inhibition of NF‑κB, ICAM-1, MMP-9 and caspase-3 expression. Mol Med Rep 2017; 16:4710-4720. [PMID: 28849007 PMCID: PMC5647023 DOI: 10.3892/mmr.2017.7205] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2016] [Accepted: 06/06/2017] [Indexed: 12/21/2022] Open
Abstract
Reperfusion is the only approved therapy for acute ischemic stroke; however, it can cause excessive inflammation responses and aggravate brain damage. Therefore, supplementary treatment against inflammation caused by reperfusion is required. In a previous study from our group, curcumin was demonstrated to decrease infarction volume, brain edema and blood-brain barrier (BBB) disruption against cerebral ischemia/reperfusion (I/R) injury. However, the underlying mechanisms remain unclear. The present study was conducted to understand whether curcumin protects against cerebral I/R injury through anti-inflammatory and antiapoptotic properties. Ischemia for 1 h was induced in vivo in Wistar rats by middle cerebral artery occlusion (MCAO), followed by reperfusion for 24 h, and curcumin was injected intraperitoneally at 30 min prior to reperfusion. Immunohistochemistry was performed to analyze the expression levels of nuclear factor (NF)-κB, intercellular adhesion molecule (ICAM)-1, matrix metalloproteinase (MMP)-9 and caspase-3. The findings revealed that inflammation (NF-κB, ICAM-1 and MMP-9) and apoptosis (caspase-3)-related markers were significantly downregulated in the curcumin-treated MCAO group compared with the vehicle-treated MCAO group. Furthermore, brain infarction size, brain edema and neurological dysfunction were attenuated in the curcumin-treated MCAO group compared with the vehicle-treated MCAO group. Taken together, the present results provided evidence that the protective effect of curcumin against cerebral I/R injury might be mediated by anti-inflammatory and anti-apoptotic properties. Therefore, curcumin may be a promising supplementary agent against cerebral I/R injury in the future.
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Affiliation(s)
- Wei Li
- Department of Physiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Nijasri Charnnarong Suwanwela
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Suthiluk Patumraj
- Center of Excellence for Microcirculation, Department of Physiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
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Cammen KM, Andrews KR, Carroll EL, Foote AD, Humble E, Khudyakov JI, Louis M, McGowen MR, Olsen MT, Van Cise AM. Genomic Methods Take the Plunge: Recent Advances in High-Throughput Sequencing of Marine Mammals. J Hered 2016; 107:481-95. [PMID: 27511190 DOI: 10.1093/jhered/esw044] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 07/12/2016] [Indexed: 12/18/2022] Open
Abstract
The dramatic increase in the application of genomic techniques to non-model organisms (NMOs) over the past decade has yielded numerous valuable contributions to evolutionary biology and ecology, many of which would not have been possible with traditional genetic markers. We review this recent progression with a particular focus on genomic studies of marine mammals, a group of taxa that represent key macroevolutionary transitions from terrestrial to marine environments and for which available genomic resources have recently undergone notable rapid growth. Genomic studies of NMOs utilize an expanding range of approaches, including whole genome sequencing, restriction site-associated DNA sequencing, array-based sequencing of single nucleotide polymorphisms and target sequence probes (e.g., exomes), and transcriptome sequencing. These approaches generate different types and quantities of data, and many can be applied with limited or no prior genomic resources, thus overcoming one traditional limitation of research on NMOs. Within marine mammals, such studies have thus far yielded significant contributions to the fields of phylogenomics and comparative genomics, as well as enabled investigations of fitness, demography, and population structure. Here we review the primary options for generating genomic data, introduce several emerging techniques, and discuss the suitability of each approach for different applications in the study of NMOs.
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Affiliation(s)
- Kristina M Cammen
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise).
| | - Kimberly R Andrews
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Emma L Carroll
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Andrew D Foote
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Emily Humble
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Jane I Khudyakov
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Marie Louis
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Michael R McGowen
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Morten Tange Olsen
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Amy M Van Cise
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
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Yang H, Xu XL, Ma HM, Jiang J. Integrative analysis of transcriptomics and proteomics of skeletal muscles of the Chinese indigenous Shaziling pig compared with the Yorkshire breed. BMC Genet 2016; 17:80. [PMID: 27296698 PMCID: PMC4906580 DOI: 10.1186/s12863-016-0389-y] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Accepted: 06/02/2016] [Indexed: 11/08/2022] Open
Abstract
Background The Shaziling pig (Sus scrofa) is a well-known indigenous breed in China. One of its main advantages over European breeds is its high meat quality. However, little genetic information is available for the Shaziling pig. To screen for differentially expressed genes and proteins that might be responsible for the meat quality, the longissimus dorsi muscles from Shaziling and Yorkshire pig breeds were investigated using an integrative analysis of transcriptomics and proteomics, involving high-throughput sequencing, the two-dimensional gel electrophoresis, and mass spectrometry. Results Sequencing produced 79,320 unigenes by de novo assembly, and 488 differentially expressed genes in the longissimus dorsi muscle of Shaziling pig compared with the Yorkshire breed were identified. Gene Ontology term enrichment of biological functions and Kyoto Encyclopedia of Genes and Genomes analysis showed that the gene products were mainly involved in metabolism, protein binding, and regulation of skeletal muscle development. At the protein level, 23 differentially expressed proteins were identified, which were potentially associated with fatty acid metabolism, the glycolytic pathway, and skeletal muscle growth. Eight differentially expressed genes were confirmed by real-time PCR. These results give an insight into the mechanisms underlying the formation of skeletal muscle in the Shaziling pig. Conclusions Certain differentially expressed genes and proteins are involved in fatty acid metabolism, intramuscular fat deposition, and skeletal muscle growth in the Shaziling pig. These results provide candidate genes for improving meat quality and will promote further transcriptomic research in Shaziling pigs. Electronic supplementary material The online version of this article (doi:10.1186/s12863-016-0389-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hu Yang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, People's Republic of China.,College of Life Science and Resource Environment, Yichun University, Yichun, 336000, People's Republic of China
| | - Xing-Li Xu
- College of Life Science and Resource Environment, Yichun University, Yichun, 336000, People's Republic of China
| | - Hai-Ming Ma
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, People's Republic of China.
| | - Jun Jiang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, People's Republic of China
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