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Zhang L, Yin SJ, Zheng X, Chen X, Wang Q, Park YD, Qian GY, Si YX. Screening and analysis of agouti signaling protein interaction partners in Pelodiscus sinensis suggests a role in lipid metabolism. Int J Biol Macromol 2020; 157:695-705. [PMID: 31794826 DOI: 10.1016/j.ijbiomac.2019.11.229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 11/28/2019] [Accepted: 11/28/2019] [Indexed: 11/25/2022]
Abstract
Agouti signaling protein (ASP) is a secreted paracrine protein that has been widely reported to function in melanogenesis and obesity and could potentially be a core protein that regulates the color and fatty phenotype of P. sinensis. In this study, we screened out interacting proteins of ASP by combined co-immunoprecipitation mass spectrometry (CoIP-MS), yeast two hybrid (Y2H) analysis, and computational predictions. We performed docking of ASP with its well-known receptor melanocortin receptor 4 (MC4R) to predict the binding capacity and to screen out actual ASP interacting proteins, CoIP-MS was performed where identified 32 proteins that could bind with ASP and Y2H confirmed seven proteins binding with ASP directly. CoIP-MS and Y2H screening results including PPI prediction revealed that vitronectin (VTN), apolipoprotein A1 (APOA1), apolipoprotein B (APOB), and filamin B (FLNB) were the key interacting proteins of ASP. VTN, APOA1, and APOB are functional proteins in lipid metabolism and various skin disorders, suggesting ASP may function in lipid metabolism through these partners. This study provided protein-protein interaction information of ASP, and the results will promote further research into the diverse roles of ASP, as well as its binding partners, and their function in different strains of P. sinensis.
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Affiliation(s)
- Lili Zhang
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, PR China; College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, PR China
| | - Shang-Jun Yin
- College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, PR China
| | - Xiaoying Zheng
- College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, PR China
| | - Xuanwei Chen
- College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, PR China
| | - Qian Wang
- College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, PR China
| | - Yong-Doo Park
- College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, PR China; Skin Diseases Research Center, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, PR China; Department of Dermatology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul 135-710, Republic of Korea
| | - Guo-Ying Qian
- College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, PR China.
| | - Yue-Xiu Si
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, PR China.
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Friedrich J, Talenti A, Arvelius P, Strandberg E, Haskell MJ, Wiener P. Unravelling selection signatures in a single dog breed suggests recent selection for morphological and behavioral traits. ADVANCED GENETICS (HOBOKEN, N.J.) 2020; 1:e10024. [PMID: 36619250 PMCID: PMC9744541 DOI: 10.1002/ggn2.10024] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 03/18/2020] [Accepted: 03/18/2020] [Indexed: 01/11/2023]
Abstract
Strong selection has resulted in substantial morphological and behavioral diversity across modern dog breeds, which makes dogs interesting model animals to study the underlying genetic architecture of these traits. However, results from between-breed analyses may confound selection signatures for behavior and morphological features that were coselected during breed development. In this study, we assess population genetic differences in a unique resource of dogs of the same breed but with systematic behavioral selection in only one population. We exploit these different breeding backgrounds to identify signatures of recent selection. Selection signatures within populations were found on chromosomes 4 and 19, with the strongest signals in behavior-related genes. Regions showing strong signals of divergent selection were located on chromosomes 1, 24, and 32, and include candidate genes for both physical features and behavior. Some of the selection signatures appear to be driven by loci associated with coat color (Chr 24; ASIP) and length (Chr 32; FGF5), while others showed evidence of association with behavior. Our findings suggest that signatures of selection within dog breeds have been driven by selection for morphology and behavior. Furthermore, we demonstrate that combining selection scans with association analyses is effective for dissecting the traits under selection.
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Affiliation(s)
- Juliane Friedrich
- Division of Genetics and GenomicsThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of EdinburghMidlothianUK
| | - Andrea Talenti
- Division of Genetics and GenomicsThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of EdinburghMidlothianUK
| | - Per Arvelius
- Swedish Armed Forces Dog Training CenterMärstaSweden
| | - Erling Strandberg
- Department of Animal Breeding and GeneticsSwedish University of Agricultural SciencesUppsalaSweden
| | - Marie J. Haskell
- Animal & Veterinary SciencesScotland's Rural College (SRUC)EdinburghUK
| | - Pamela Wiener
- Division of Genetics and GenomicsThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of EdinburghMidlothianUK
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3
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Wang Q, Wu H, Zhou J, Pei S, Li J, Cai Y, Shang J. Involvement of the central hypothalamic-pituitary-adrenal axis in hair growth and melanogenesis among different mouse strains. PLoS One 2018; 13:e0202955. [PMID: 30356231 PMCID: PMC6200183 DOI: 10.1371/journal.pone.0202955] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 08/13/2018] [Indexed: 11/26/2022] Open
Abstract
Stress has been demonstrated to play an important role in hair follicle function and the pathogenesis of some hair disorders. The central hypothalamic-pituitary-adrenal (HPA) axis is activated by stress stimuli, synthesizes and releases various components and eventually induces the pathogenesis and recurrence of peripheral diseases. Our aim is to compare the different responses under exposure of stress in hair follicle function among different mouse strains, and to detect the involvement of the central HPA axis after stress in hair follicle growth and melanogenesis. In this study, we exposed different mouse strains (C57BL/6, CBA/J, C3H/HeN, BALB/c and ICR) to a 21-day chronic restraint stress protocol and selected C57BL/6, CBA/J and BALB/c mice for further study because of their significant behavioral alterations. Then, we evaluated and compared the different responses and sensitivity to chronic restraint stress in hair follicle function and central HPA axis among the selected strains. The results showed that expression of POMC, CRF and GR mRNA and protein and serum levels of corticosterone were inhibited in response to stress. These findings suggested that chronic restraint stress may inhibit hair follicle growth and melanogenesis via regulating the key elements of the central HPA axis. In addition, the results revealed different mouse strains exhibit different responses in the central HPA axis and hair follicle after stress exposure. C57BL/6 might be the most sensitive strain among the three strains tested as well as an appropriate strain to study possible pathophysiological mechanisms by which the nervous system influences skin function and screen dermatological drugs suitable for psychotherapy. We believe the current study will provide some useful information for researchers who are interested in the bidirectional communication between the nervous and skin systems and the management of stress-induced cutaneous diseases.
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Affiliation(s)
- Qian Wang
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Huali Wu
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Jia Zhou
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Siran Pei
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Jing Li
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Yuanyuan Cai
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Jing Shang
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China Pharmaceutical University, Nanjing, Jiangsu, China
- Qinghai Key Laboratory of Tibetan Medicine Pharmacology and Safety Evaluation, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China
- * E-mail:
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Freedman AH, Schweizer RM, Ortega-Del Vecchyo D, Han E, Davis BW, Gronau I, Silva PM, Galaverni M, Fan Z, Marx P, Lorente-Galdos B, Ramirez O, Hormozdiari F, Alkan C, Vilà C, Squire K, Geffen E, Kusak J, Boyko AR, Parker HG, Lee C, Tadigotla V, Siepel A, Bustamante CD, Harkins TT, Nelson SF, Marques-Bonet T, Ostrander EA, Wayne RK, Novembre J. Demographically-Based Evaluation of Genomic Regions under Selection in Domestic Dogs. PLoS Genet 2016; 12:e1005851. [PMID: 26943675 PMCID: PMC4778760 DOI: 10.1371/journal.pgen.1005851] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 01/18/2016] [Indexed: 12/31/2022] Open
Abstract
Controlling for background demographic effects is important for accurately identifying loci that have recently undergone positive selection. To date, the effects of demography have not yet been explicitly considered when identifying loci under selection during dog domestication. To investigate positive selection on the dog lineage early in the domestication, we examined patterns of polymorphism in six canid genomes that were previously used to infer a demographic model of dog domestication. Using an inferred demographic model, we computed false discovery rates (FDR) and identified 349 outlier regions consistent with positive selection at a low FDR. The signals in the top 100 regions were frequently centered on candidate genes related to brain function and behavior, including LHFPL3, CADM2, GRIK3, SH3GL2, MBP, PDE7B, NTAN1, and GLRA1. These regions contained significant enrichments in behavioral ontology categories. The 3rd top hit, CCRN4L, plays a major role in lipid metabolism, that is supported by additional metabolism related candidates revealed in our scan, including SCP2D1 and PDXC1. Comparing our method to an empirical outlier approach that does not directly account for demography, we found only modest overlaps between the two methods, with 60% of empirical outliers having no overlap with our demography-based outlier detection approach. Demography-aware approaches have lower-rates of false discovery. Our top candidates for selection, in addition to expanding the set of neurobehavioral candidate genes, include genes related to lipid metabolism, suggesting a dietary target of selection that was important during the period when proto-dogs hunted and fed alongside hunter-gatherers.
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Affiliation(s)
- Adam H. Freedman
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America
- * E-mail:
| | - Rena M. Schweizer
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Diego Ortega-Del Vecchyo
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Eunjung Han
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Brian W. Davis
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Ilan Gronau
- Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America
| | | | | | - Zhenxin Fan
- Key Laboratory of Bioresources and Ecoenvironment, Sichuan University, Chengdu, China
| | - Peter Marx
- Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary
| | - Belen Lorente-Galdos
- ICREA at Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Oscar Ramirez
- ICREA at Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Farhad Hormozdiari
- Department of Computer Science, University of California, Los Angeles, Los Angeles, California, United States of America
| | | | - Carles Vilà
- Estación Biológia de Doñana EBD-CSIC, Sevilla, Spain
| | - Kevin Squire
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Eli Geffen
- Department of Zoology, Tel Aviv University, Tel Aviv, Israel
| | - Josip Kusak
- Department of Biology, University of Zagreb, Zagreb, Croatia
| | - Adam R. Boyko
- Department of Biomedical Sciences, Cornell University, Ithaca, New York, United States of America
| | - Heidi G. Parker
- ICREA at Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Clarence Lee
- Life Technologies, Foster City, California, United States of America
| | - Vasisht Tadigotla
- Life Technologies, Foster City, California, United States of America
| | - Adam Siepel
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | | | | | - Stanley F. Nelson
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Tomas Marques-Bonet
- ICREA at Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
- Centro Nacional de Analisis Genomico (CNAG/PCB), Baldiri Reixach 4–8, Barcelona, Spain
| | - Elaine A. Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Robert K. Wayne
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America
| | - John Novembre
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America
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