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Ramnauth AD, Tippani M, Divecha HR, Papariello AR, Miller RA, Nelson ED, Thompson JR, Pattie EA, Kleinman JE, Maynard KR, Collado-Torres L, Hyde TM, Martinowich K, Hicks SC, Page SC. Spatiotemporal analysis of gene expression in the human dentate gyrus reveals age-associated changes in cellular maturation and neuroinflammation. Cell Rep 2025; 44:115300. [PMID: 40009515 DOI: 10.1016/j.celrep.2025.115300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 09/19/2024] [Accepted: 01/21/2025] [Indexed: 02/28/2025] Open
Abstract
The dentate gyrus of the hippocampus is important for many cognitive functions, including learning, memory, and mood. Here, we present transcriptome-wide spatial gene expression maps of the human dentate gyrus and investigate age-associated changes across the lifespan. Genes associated with neurogenesis and the extracellular matrix are enriched in infants and decline throughout development and maturation. Following infancy, inhibitory neuron markers increase, and cellular proliferation markers decrease. We also identify spatio-molecular signatures that support existing evidence for protracted maturation of granule cells during adulthood and age-associated increases in neuroinflammation-related gene expression. Our findings support the notion that the hippocampal neurogenic niche undergoes major changes following infancy and identify molecular regulators of brain aging in glial- and neuropil-enriched tissue.
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Affiliation(s)
- Anthony D Ramnauth
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Madhavi Tippani
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA
| | - Heena R Divecha
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA
| | - Alexis R Papariello
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA
| | - Ryan A Miller
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA
| | - Erik D Nelson
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA; Cellular and Molecular Medicine Graduate Program, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Jacqueline R Thompson
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Elizabeth A Pattie
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA
| | - Joel E Kleinman
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Kristen R Maynard
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Leonardo Collado-Torres
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Thomas M Hyde
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Keri Martinowich
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; Johns Hopkins Kavli Neuroscience Discovery Institute, Baltimore, MD 21205, USA
| | - Stephanie C Hicks
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA; Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; Center for Computational Biology, Johns Hopkins University, Baltimore, MD 21205, USA; Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Stephanie C Page
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
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Liu Y, Wang Y, Sun J, Kong D, Zhou B, Ding M, Meng Y, Duan G, Cui Y, Fan Z, Zhang YP, Zhao W, Tang B. iDog: a multi-omics resource for canids study. Nucleic Acids Res 2025; 53:D1039-D1046. [PMID: 39526388 PMCID: PMC11701671 DOI: 10.1093/nar/gkae1031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Revised: 10/14/2024] [Accepted: 10/17/2024] [Indexed: 11/16/2024] Open
Abstract
iDog (https://ngdc.cncb.ac.cn/idog/) is a comprehensive public resource for domestic dogs (Canis lupus familiaris) and wild canids, designed to integrate multi-omics data and provide data services for the worldwide canine research community. Notably, iDog 2.0 features a 15-fold increase in genomic samples, including 29.55 million single nucleotide polymorphisms (SNPs) and 16.54 million insertions/deletions (InDels) from 1929 modern samples and 29.09 million SNPs from 111 ancient Canis samples. Additionally, 43487 breed-specific SNPs and 530 disease/trait-associated variants have been identified and integrated. The platform also includes data from 141 BioProjects involving gene expression analyses and a single-cell transcriptome module containing data from 105 057 Beagle hippocampus cells. iDog 2.0 also includes an epignome module that evaluates DNA methylation patterns across 547 samples and chromatin accessibility across 87 samples for the analysis of gene expression regulation. Additionally, it provies phenotypic data for 897 dog diseases, 3207 genotype-to-phenotype (G2P) pairs, and 349 dog disease-associated genes, along with two newly constructed ontologies for breed and disease standardization. Finally, 13 new analytical tools have been added. Given these enhancements, the updated iDog 2.0 is an invaluable resource for the global cannie research community.
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Affiliation(s)
- Yanhu Liu
- Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650091, China
| | - Yibo Wang
- National Genomics Data Center, China National Center for Bioinformation, Beijing 100049, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiani Sun
- National Genomics Data Center, China National Center for Bioinformation, Beijing 100049, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
| | - Demian Kong
- National Genomics Data Center, China National Center for Bioinformation, Beijing 100049, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bowen Zhou
- Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650091, China
| | - Mengting Ding
- Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650091, China
| | - Yuyan Meng
- National Genomics Data Center, China National Center for Bioinformation, Beijing 100049, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
| | - Guangya Duan
- National Genomics Data Center, China National Center for Bioinformation, Beijing 100049, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Cui
- National Genomics Data Center, China National Center for Bioinformation, Beijing 100049, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhuojing Fan
- National Genomics Data Center, China National Center for Bioinformation, Beijing 100049, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China
| | - Ya-Ping Zhang
- Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650091, China
| | - Wenming Zhao
- National Genomics Data Center, China National Center for Bioinformation, Beijing 100049, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bixia Tang
- National Genomics Data Center, China National Center for Bioinformation, Beijing 100049, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China
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Zhou T, Pu SY, Zhang SJ, Zhou QJ, Zeng M, Lu JS, Lu X, Wang YN, Wang GD. Dog10K: an integrated Dog10K database summarizing canine multi-omics. Nucleic Acids Res 2025; 53:D939-D947. [PMID: 39436034 PMCID: PMC11701641 DOI: 10.1093/nar/gkae928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 09/14/2024] [Accepted: 10/04/2024] [Indexed: 10/23/2024] Open
Abstract
The diversity observed in canine breed phenotypes, together with their risk for heritabily disorders of relevance to dogs and humans, makes the species an ideal subject for studies aimed at understanding the genetic basis of complex traits and human biomedical models. Dog10K is an ongoing international collaboration that aims to uncover the genetic basis of phenotypic diversity, disease, behavior, and domestication history of dogs. To best present and make the extensive data accessible and user friendly, we have established the Dog10K (http://dog10k.kiz.ac.cn/) database, a comprehensive-omics resource summarizing multiple types of data. This database integrates single nucleotide variants (SNVs) from 1987 canine genomes, de-novo mutations (DNMs) from 43 dog breeds with >40× sequence, RNA-seq data of 105057 single nuclei from hippocampus, 74067 single cells from leukocytes and 30 blood samples from published canid studies. We provide clear visualization, statistics, browse, searching, and downloading functions for all data. We have integrated three analysis tools, Selscan, LiftOver and AgeConversion, to aid researchers in custom exploration of the comprehensive-omics data. The Dog10K database will serve as a foundational platform for analyzing, presenting and utilizing canine multi-omics data.
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Affiliation(s)
- Tong Zhou
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Shao-Yan Pu
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Biodiversity Data Center of Kunming Institute of Zoology, Chinese Academy of sciences, Kunming, Yunnan 650201, China
- Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, The Chinese Academy of Sciences, Kunming 650201, China
| | - Shao-Jie Zhang
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Qi-Jun Zhou
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Min Zeng
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Jing-Sheng Lu
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Biodiversity Data Center of Kunming Institute of Zoology, Chinese Academy of sciences, Kunming, Yunnan 650201, China
- Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, The Chinese Academy of Sciences, Kunming 650201, China
| | - Xuemei Lu
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Biodiversity Data Center of Kunming Institute of Zoology, Chinese Academy of sciences, Kunming, Yunnan 650201, China
- Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, The Chinese Academy of Sciences, Kunming 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Ya-Nan Wang
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Biodiversity Data Center of Kunming Institute of Zoology, Chinese Academy of sciences, Kunming, Yunnan 650201, China
- Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, The Chinese Academy of Sciences, Kunming 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Guo-Dong Wang
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650201, China
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4
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Kim MC, Borcherding N, Song WJ, Kolb R, Zhang W. Leveraging single-cell transcriptomic data to uncover immune suppressive cancer cell subsets in triple-negative canine breast cancers. Front Vet Sci 2024; 11:1434617. [PMID: 39376916 PMCID: PMC11457229 DOI: 10.3389/fvets.2024.1434617] [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: 05/18/2024] [Accepted: 08/28/2024] [Indexed: 10/09/2024] Open
Abstract
Introduction Single-cell RNA sequencing (scRNA-seq) has become an essential tool for uncovering the complexities of various physiological and immunopathological conditions in veterinary medicine. However, there is currently limited information on immune-suppressive cancer subsets in canine breast cancers. In this study, we aimed to identify and characterize immune-suppressive subsets of triple-negative canine breast cancer (TNBC) by utilizing integrated scRNA-seq data from published datasets. Methods Published scRNA-seq datasets, including data from six groups of 30 dogs, were subjected to integrated bioinformatic analysis. Results Immune modulatory TNBC subsets were identified through functional enrichment analysis using immune-suppressive gene sets, including those associated with anti-inflammatory and M2-like macrophages. Key immune-suppressive signaling, such as viral infection, angiogenesis, and leukocyte chemotaxis, was found to play a role in enabling TNBC to evade immune surveillance. In addition, interactome analysis revealed significant interactions between distinct subsets of cancer cells and effector T cells, suggesting potential T-cell suppression. Discussion The present study demonstrates a versatile and scalable approach to integrating and analyzing scRNA-seq data, which successfully identified immune-modulatory subsets of canine TNBC. It also revealed potential mechanisms through which TNBC promotes immune evasion in dogs. These findings are crucial for advancing the understanding of the immune pathogenesis of canine TNBC and may aid in the development of new immune-based therapeutic strategies.
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Affiliation(s)
- Myung-Chul Kim
- Veterinary Laboratory Medicine, Clinical Pathology, College of Veterinary Medicine, Jeju National University, Jeju, Republic of Korea
- Research Institute of Veterinary Medicine, College of Veterinary Medicine, Jeju National University, Jeju, Republic of Korea
| | - Nicholas Borcherding
- Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Woo-Jin Song
- Research Institute of Veterinary Medicine, College of Veterinary Medicine, Jeju National University, Jeju, Republic of Korea
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Jeju National University, Jeju, Republic of Korea
| | - Ryan Kolb
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, United States
- UF Health Cancer Center, University of Florida, Gainesville, FL, United States
| | - Weizhou Zhang
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, United States
- UF Health Cancer Center, University of Florida, Gainesville, FL, United States
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5
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Wang SZ, Yan Y, Widlund M, Qian CC, Zhang LL, Zhang SJ, Li ZM, Cao P, Dai QY, Feng XT, Liu F, Wang L, Gao C, Fu QM, Hytönen MK, Lohi H, Savolainen P, Wang GD. Historic dog Furs Unravel the Origin and Artificial Selection of Modern Nordic Lapphund and Elkhound dog Breeds. Mol Biol Evol 2024; 41:msae108. [PMID: 38842255 PMCID: PMC11226788 DOI: 10.1093/molbev/msae108] [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: 01/31/2024] [Revised: 05/28/2024] [Accepted: 05/31/2024] [Indexed: 06/07/2024] Open
Abstract
The origins and extreme morphological evolution of the modern dog breeds are poorly studied because the founder populations are extinct. Here, we analyse eight 100 to 200 years old dog fur samples obtained from traditional North Swedish clothing, to explore the origin and artificial selection of the modern Nordic Lapphund and Elkhound dog breeds. Population genomic analysis confirmed the Lapphund and Elkhound breeds to originate from the local dog population, and showed a distinct decrease in genetic diversity in agreement with intense breeding. We identified eleven genes under positive selection during the breed development. In particular, the MSRB3 gene, associated with breed-related ear morphology, was selected in all Lapphund and Elkhound breeds, and functional assays showed that a SNP mutation in the 3'UTR region suppresses its expression through miRNA regulation. Our findings demonstrate analysis of near-modern dog artifacts as an effective tool for interpreting the origin and artificial selection of the modern dog breeds.
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Affiliation(s)
- Shi-Zhi Wang
- Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Yu Yan
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, China
| | - Malin Widlund
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Chen-Chang Qian
- Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | | | - Shao-Jie Zhang
- Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Zi-Mai Li
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Qing-Yan Dai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Xiao-Tian Feng
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Lu Wang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, China
| | - Chao Gao
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Qiao-Mei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Marjo K Hytönen
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Hannes Lohi
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Peter Savolainen
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Guo-Dong Wang
- Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
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6
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Zeng M, Zhou T, Li Z, Li G, Zhang S, Wang L, Huang Q, Li J, Samarawickrama PN, He Y, Wang G. Transcriptomic and intervention evidence reveals domestic dogs as a promising model for anti-inflammatory investigation. Aging Cell 2024; 23:e14127. [PMID: 38426629 PMCID: PMC11113267 DOI: 10.1111/acel.14127] [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: 12/15/2023] [Revised: 02/09/2024] [Accepted: 02/11/2024] [Indexed: 03/02/2024] Open
Abstract
Domestic dogs have great potential to expand our understanding of the determinants of aging. To understand the aging pattern of domestic dogs and evaluate whether they can be used as an aging model, we performed RNA sequencing on white blood cells from domestic dogs aged 1-9 years and treated aged dogs with classical antiaging approaches. We obtained 30 RNA sequencing libraries and identified 61 age-associated genes with dynamic changes, the majority of which were related to metabolism and immune function, which may be predominant biomarkers for aging in dogs. We next treated aged dogs with canine mesenchymal stem cells (cMSCs), nicotinamide mononucleotide, and rapamycin to determine whether and how they responded to the antiaging interventions. The results showed that these treatments can significantly reduce the level of inflammatory factors (IL-6 and TNF-α). MSCs effectively improved the heart functions of aged dogs. Three key potential age-related genes (PYCR1, CCRL2, and TOX) were reversed by MSC treatment, two of which (CCRL2 and TOX) are implicated in immunity. Overall, we profiled the transcriptomic pattern of domestic dogs and revealed that they may be a good model of aging, especially in anti-inflammatory investigations.
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Affiliation(s)
- Min Zeng
- Key Laboratory of Genetic Evolution & Animal ModelsKunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingChina
| | - Tong Zhou
- Key Laboratory of Genetic Evolution & Animal ModelsKunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
| | - Zhiyu Li
- State Key Laboratory for Conservation and Utilization of Bio‐Resources in YunnanYunnan UniversityKunmingChina
| | - Guimei Li
- Key Laboratory of Genetic Evolution & Animal ModelsKunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
| | - Shurun Zhang
- Key Laboratory of Genetic Evolution & Animal ModelsKunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
| | - Lu Wang
- State Key Laboratory for Conservation and Utilization of Bio‐Resources in YunnanYunnan UniversityKunmingChina
| | - Qing‐Guo Huang
- Kunming Police Dog Base of the Chinese Ministry of Public SecurityKunmingChina
| | - Ju‐Dong Li
- Kunming Police Dog Base of the Chinese Ministry of Public SecurityKunmingChina
| | - P. Nadeeshika Samarawickrama
- Key Laboratory of Genetic Evolution & Animal ModelsKunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingChina
- Key Laboratory of Healthy Aging Research of Yunnan ProvinceChinese Academy of SciencesKunmingChina
| | - Yonghan He
- Key Laboratory of Genetic Evolution & Animal ModelsKunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingChina
- Key Laboratory of Healthy Aging Research of Yunnan ProvinceChinese Academy of SciencesKunmingChina
| | - Guo‐Dong Wang
- Key Laboratory of Genetic Evolution & Animal ModelsKunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingChina
- Yunnan Key Laboratory of Molecular Biology of Domestic AnimalsChinese Academy of SciencesKunmingChina
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7
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Siegler PN, Shaughnessy EK, Horman B, Vierling TT, King DH, Patisaul HB, Huhman KL, Alexander GM, Dudek SM. Identification of hippocampal area CA2 in hamster and vole brain. J Comp Neurol 2024; 532:e25603. [PMID: 38497661 PMCID: PMC10950058 DOI: 10.1002/cne.25603] [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: 06/01/2023] [Revised: 01/24/2024] [Accepted: 02/27/2024] [Indexed: 03/19/2024]
Abstract
Prairie voles (Microtus ochrogaster) and Syrian, or golden, hamsters (Mesocricetus auratus) are closely related to mice (Mus musculus) and are commonly used in studies of social behavior including social interaction, social memory, and aggression. Hippocampal area CA2 is known to play a key role in these behaviors in mice and responds to social stimuli in rats, but CA2 has yet to be characterized in hamsters or voles, which are also used in studies of social behaviors. Here, we used immunofluorescence to determine whether CA2 could be molecularly identified in tissue from voles and hamsters. We found that staining for many CA2 markers was similar in these three species, with labeling seen in neurons at the distal end of the mossy fibers . In contrast, although perineuronal nets (PNNs) surround CA2 cells in mice, PNN staining differed across species. In voles, both CA2 and CA3 were labeled, whereas in hamsters, labeling was seen primarily in CA3. These results demonstrate that CA2 can be molecularly distinguished from neighboring CA1 and CA3 areas in voles and hamsters with several antibodies commonly used in mice. However, PNN staining is not useful for identifying CA2 in voles or hamsters, suggestive of differing roles for either PNNs or for the hippocampal subregions in social behavior. These findings reveal commonalities across species in the molecular profile of CA2 and should facilitate future studies of CA2 in these species.
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Affiliation(s)
- Preston Nicole Siegler
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
- Neuroscience Center, University of North Carolina, Chapel Hill, NC
| | | | - Brian Horman
- Department of Biological Sciences, North Carolina State University, Raleigh, NC
| | - Tia T. Vierling
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
| | - Darron H. King
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
| | - Heather B. Patisaul
- Department of Biological Sciences, North Carolina State University, Raleigh, NC
| | - Kim L. Huhman
- Neuroscience Institute, Georgia State University, Atlanta, GA
| | - Georgia M. Alexander
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
| | - Serena M. Dudek
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
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8
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Siegler PN, Shaughnessy EK, Horman B, Vierling TT, King DH, Patisaul HB, Huhman KL, Alexander GM, Dudek SM. Identification of hippocampal area CA2 in hamster and vole brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.12.579957. [PMID: 38405991 PMCID: PMC10888814 DOI: 10.1101/2024.02.12.579957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Prairie voles (Microtus ochrogaster) and Syrian, or golden, hamsters (Mesocricetus auratus) are closely related to mice (Mus musculus) and rats (Rattus norvegicus, for example) and are commonly used in studies of social behavior including social interaction, social memory, and aggression. The CA2 region of the hippocampus is known to play a key role in social memory and aggression in mice and responds to social stimuli in rats, likely owing to its high expression of oxytocin and vasopressin 1b receptors. However, CA2 has yet to be identified and characterized in hamsters or voles. In this study, we sought to determine whether CA2 could be identified molecularly in vole and hamster. To do this, we used immunofluorescence with primary antibodies raised against known molecular markers of CA2 in mice and rats to stain hippocampal sections from voles and hamsters in parallel with those from mice. Here, we report that, like in mouse and rat, staining for many CA2 proteins in vole and hamster hippocampus reveals a population of neurons that express regulator of G protein signaling 14 (RGS14), Purkinje cell protein 4 (PCP4) and striatal-enriched protein tyrosine phosphatase (STEP), which together delineate the borders with CA3 and CA1. These cells were located at the distal end of the mossy fiber projections, marked by the presence of Zinc Transporter 3 (ZnT-3) and calbindin in all three species. In addition to staining the mossy fibers, calbindin also labeled a layer of CA1 pyramidal cells in mouse and hamster but not in vole. However, Wolframin ER transmembrane glycoprotein (WFS1) immunofluorescence, which marks all CA1 neurons, was present in all three species and abutted the distal end of CA2, marked by RGS14 immunofluorescence. Staining for two stress hormone receptors-the glucocorticoid (GR) and mineralocorticoid (MR) receptors-was also similar in all three species, with GR staining found primarily in CA1 and MR staining enriched in CA2. Interestingly, although perineuronal nets (PNNs) are known to surround CA2 cells in mouse and rat, we found that staining for PNNs differed across species in that both CA2 and CA3 showed staining in voles and primarily CA3 in hamsters with only some neurons in proximal CA2 showing staining. These results demonstrate that, like in mouse, CA2 in voles and hamsters can be molecularly distinguished from neighboring CA1 and CA3 areas, but PNN staining is less useful for identifying CA2 in the latter two species. These findings reveal commonalities across species in molecular profile of CA2, which will facilitate future studies of CA2 in these species. Yet to be determined is how differences in PNNs might relate to differences in social behavior across species.
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Affiliation(s)
- Preston Nicole Siegler
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
- Neuroscience Center, University of North Carolina, Chapel Hill, NC
| | | | - Brian Horman
- Department of Biological Sciences, North Carolina State University, Raleigh, NC
| | - Tia T. Vierling
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
| | - Darron H. King
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
| | - Heather B. Patisaul
- Department of Biological Sciences, North Carolina State University, Raleigh, NC
| | - Kim L. Huhman
- Neuroscience Institute, Georgia State University, Atlanta, GA
| | - Georgia M. Alexander
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
| | - Serena M. Dudek
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709 USA
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London CA, Gardner H, Zhao S, Knapp DW, Utturkar SM, Duval DL, Chambers MR, Ostrander E, Trent JM, Kuffel G. Leading the pack: Best practices in comparative canine cancer genomics to inform human oncology. Vet Comp Oncol 2023; 21:565-577. [PMID: 37778398 DOI: 10.1111/vco.12935] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 08/17/2023] [Accepted: 08/18/2023] [Indexed: 10/03/2023]
Abstract
Pet dogs develop spontaneous cancers at a rate estimated to be five times higher than that of humans, providing a unique opportunity to study disease biology and evaluate novel therapeutic strategies in a model system that possesses an intact immune system and mirrors key aspects of human cancer biology. Despite decades of interest, effective utilization of pet dog cancers has been hindered by a limited repertoire of necessary cellular and molecular reagents for both in vitro and in vivo studies, as well as a dearth of information regarding the genomic landscape of these cancers. Recently, many of these critical gaps have been addressed through the generation of a highly annotated canine reference genome, the creation of several tools necessary for multi-omic analysis of canine tumours, and the development of a centralized repository for key genomic and associated clinical information from canine cancer patients, the Integrated Canine Data Commons. Together, these advances have catalysed multidisciplinary efforts designed to integrate the study of pet dog cancers more effectively into the translational continuum, with the ultimate goal of improving human outcomes. The current review summarizes this recent progress and provides a guide to resources and tools available for comparative study of pet dog cancers.
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Affiliation(s)
- Cheryl A London
- Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA
| | - Heather Gardner
- Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA
| | - Shaying Zhao
- University of Georgia Cancer Center, University of Georgia, Athens, Georgia, USA
| | - Deborah W Knapp
- College of Veterinary Medicine, Purdue University, West Lafayette, Indiana, USA
| | - Sagar M Utturkar
- Purdue Institute for Cancer Research, Purdue University, West Lafayette, Indiana, USA
| | - Dawn L Duval
- College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, USA
| | | | - Elaine Ostrander
- Cancer Genetics and Comparative Genomics Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - Jeffrey M Trent
- Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Gina Kuffel
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
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Li WL, Liu YH, Li JX, Ding MT, Adeola AC, Isakova J, Aldashev AA, Peng MS, Huang X, Xie G, Chen X, Yang WK, Zhou WW, Ghanatsaman ZA, Olaogun SC, Sanke OJ, Dawuda PM, Hytönen MK, Lohi H, Esmailizadeh A, Poyarkov AD, Savolainen P, Wang GD, Zhang YP. Multiple Origins and Genomic Basis of Complex Traits in Sighthounds. Mol Biol Evol 2023; 40:msad158. [PMID: 37433053 PMCID: PMC10401622 DOI: 10.1093/molbev/msad158] [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: 01/28/2023] [Revised: 06/24/2023] [Accepted: 06/27/2023] [Indexed: 07/13/2023] Open
Abstract
Sighthounds, a distinctive group of hounds comprising numerous breeds, have their origins rooted in ancient artificial selection of dogs. In this study, we performed genome sequencing for 123 sighthounds, including one breed from Africa, six breeds from Europe, two breeds from Russia, and four breeds and 12 village dogs from the Middle East. We gathered public genome data of five sighthounds and 98 other dogs as well as 31 gray wolves to pinpoint the origin and genes influencing the morphology of the sighthound genome. Population genomic analysis suggested that sighthounds originated from native dogs independently and were comprehensively admixed among breeds, supporting the multiple origins hypothesis of sighthounds. An additional 67 published ancient wolf genomes were added for gene flow detection. Results showed dramatic admixture of ancient wolves in African sighthounds, even more than with modern wolves. Whole-genome scan analysis identified 17 positively selected genes (PSGs) in the African population, 27 PSGs in the European population, and 54 PSGs in the Middle Eastern population. None of the PSGs overlapped in the three populations. Pooled PSGs of the three populations were significantly enriched in "regulation of release of sequestered calcium ion into cytosol" (gene ontology: 0051279), which is related to blood circulation and heart contraction. In addition, ESR1, JAK2, ADRB1, PRKCE, and CAMK2D were under positive selection in all three selected groups. This suggests that different PSGs in the same pathway contributed to the similar phenotype of sighthounds. We identified an ESR1 mutation (chr1: g.42,177,149 T > C) in the transcription factor (TF) binding site of Stat5a and a JAK2 mutation (chr1: g.93,277,007 T > A) in the TF binding site of Sox5. Functional experiments confirmed that the ESR1 and JAK2 mutation reduced their expression. Our results provide new insights into the domestication history and genomic basis of sighthounds.
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Affiliation(s)
- Wu-Lue Li
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Jin-Xiu Li
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Meng-Ting Ding
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Adeniyi C Adeola
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
| | - Jainagul Isakova
- Laboratory of Molecular and Cell Biology, Institute of Molecular Biology and Medicine, Bishkek, Kyrgyzstan
| | - Almaz A Aldashev
- Laboratory of Molecular and Cell Biology, Institute of Molecular Biology and Medicine, Bishkek, Kyrgyzstan
| | - Min-Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Xuezhen Huang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Guoli Xie
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Xi Chen
- Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, China
- Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Wei-Kang Yang
- Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Wei-Wei Zhou
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Zeinab Amiri Ghanatsaman
- Animal Science Research Department, Fars Agricultural and Natural Resources research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Shiraz, Iran
| | - Sunday C Olaogun
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oscar J Sanke
- Ministry of Agriculture and Natural Resources, Taraba State Government, Jalingo, Nigeria
| | - Philip M Dawuda
- Department of Animal Science, Faculty of Agriculture, National University of Lesotho, Roma, Southern Africa
| | - Marjo K Hytönen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Hannes Lohi
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Ali Esmailizadeh
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Andrey D Poyarkov
- Severtsov Institute of Ecology and Evolution, Russian Academy of Science, Moscow, Russia
| | - Peter Savolainen
- KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, Science for Life Laboratory, Solna, Sweden
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
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