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Hodge MJ, de las Heras-Saldana S, Rindfleish SJ, Stephen CP, Pant SD. Characterization of Breed Specific Differences in Spermatozoal Transcriptomes of Sheep in Australia. Genes (Basel) 2021; 12:genes12020203. [PMID: 33573244 PMCID: PMC7912062 DOI: 10.3390/genes12020203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/10/2021] [Accepted: 01/22/2021] [Indexed: 01/27/2023] Open
Abstract
Reduced reproductive efficiency results in economic losses to the Australian sheep industry. Reproductive success, particularly after artificial insemination, is dependent on a number of contributing factors on both ewe and ram sides. Despite considerable emphasis placed on characterising ewe side contributions, little emphasis has been placed on characterising ram side contributions to conception success. Over 14,000 transcripts are in spermatozoa of other species, which are transferred to the ova on fertilisation. These transcripts conceivably influence early embryonic development and whether conception is successful. Semen was collected (n = 45) across three breeds; Merino, Dohne, and Poll Dorset. Following collection, each ejaculate was split in two; an aliquot was assessed utilising Computer Assisted Semen Analysis (CASA) and the remaining was utilised for RNA extraction and subsequent next-generation sequencing. Overall, 754 differentially expressed genes were identified in breed contrasts and contrast between ejaculates of different quality. Downstream analysis indicated that these genes could play significant roles in a broad range of physiological functions, including maintenance of spermatogenesis, fertilisation, conception, embryonic development, and offspring production performance. Overall results provide evidence that the spermatozoal transcriptome could be a crucial contributing factor in improving reproductive performance as well as in the overall productivity and profitability of sheep industries.
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Affiliation(s)
- Marnie J. Hodge
- Graham Centre for Agricultural Innovation (Charles Sturt University and NSW Department of Primary Industries), Charles Sturt University, Wagga Wagga, NSW 2678, Australia; (M.J.H.); (C.P.S.)
- Apiam Animal Health, Apiam Genetic Services, Dubbo, NSW 2830, Australia;
| | - Sara de las Heras-Saldana
- School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia;
| | | | - Cyril P. Stephen
- Graham Centre for Agricultural Innovation (Charles Sturt University and NSW Department of Primary Industries), Charles Sturt University, Wagga Wagga, NSW 2678, Australia; (M.J.H.); (C.P.S.)
| | - Sameer D. Pant
- Graham Centre for Agricultural Innovation (Charles Sturt University and NSW Department of Primary Industries), Charles Sturt University, Wagga Wagga, NSW 2678, Australia; (M.J.H.); (C.P.S.)
- Correspondence:
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2
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Fan R, Gu Z, Guang X, Marín JC, Varas V, González BA, Wheeler JC, Hu Y, Li E, Sun X, Yang X, Zhang C, Gao W, He J, Munch K, Corbett-Detig R, Barbato M, Pan S, Zhan X, Bruford MW, Dong C. Genomic analysis of the domestication and post-Spanish conquest evolution of the llama and alpaca. Genome Biol 2020; 21:159. [PMID: 32616020 PMCID: PMC7331169 DOI: 10.1186/s13059-020-02080-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 06/21/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Despite their regional economic importance and being increasingly reared globally, the origins and evolution of the llama and alpaca remain poorly understood. Here we report reference genomes for the llama, and for the guanaco and vicuña (their putative wild progenitors), compare these with the published alpaca genome, and resequence seven individuals of all four species to better understand domestication and introgression between the llama and alpaca. RESULTS Phylogenomic analysis confirms that the llama was domesticated from the guanaco and the alpaca from the vicuña. Introgression was much higher in the alpaca genome (36%) than the llama (5%) and could be dated close to the time of the Spanish conquest, approximately 500 years ago. Introgression patterns are at their most variable on the X-chromosome of the alpaca, featuring 53 genes known to have deleterious X-linked phenotypes in humans. Strong genome-wide introgression signatures include olfactory receptor complexes into both species, hypertension resistance into alpaca, and fleece/fiber traits into llama. Genomic signatures of domestication in the llama include male reproductive traits, while in alpaca feature fleece characteristics, olfaction-related and hypoxia adaptation traits. Expression analysis of the introgressed region that is syntenic to human HSA4q21, a gene cluster previously associated with hypertension in humans under hypoxic conditions, shows a previously undocumented role for PRDM8 downregulation as a potential transcriptional regulation mechanism, analogous to that previously reported at high altitude for hypoxia-inducible factor 1α. CONCLUSIONS The unprecedented introgression signatures within both domestic camelid genomes may reflect post-conquest changes in agriculture and the breakdown of traditional management practices.
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Affiliation(s)
- Ruiwen Fan
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi China
| | - Zhongru Gu
- CAS Key Lab of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Cardiff University – Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | | | - Juan Carlos Marín
- Departamento de Ciencias Básicas, Facultad de Ciencias, Universidad del Bio Bio, Chillán, Chile
| | - Valeria Varas
- Programa de Doctorado en Ciencias mención Ecología y Evolución, Escuela de Graduados, Facultad de Ciencias., Universidad Austral de Chile, Valdivia, Chile
| | - Benito A. González
- Facultad de Ciencias Forestales y de la Conservación de la Naturaleza, Universidad de Chile, Santiago, Chile
| | - Jane C. Wheeler
- CONOPA-Instituto de Investigación y Desarrollo de Camélidos Sudamericanos, Pachacamac, Lima, Peru
| | - Yafei Hu
- BGI Genomics, BGI, Shenzhen, China
| | - Erli Li
- BGI Genomics, BGI, Shenzhen, China
| | | | | | | | - Wenjun Gao
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi China
| | - Junping He
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi China
| | - Kasper Munch
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Russel Corbett-Detig
- Department of Biomolecular Engineering and Genomics Institute, UC Santa Cruz, Santa Cruz, CA USA
| | - Mario Barbato
- Department of Animal Science, Food and Technology – DIANA, Università Cattolica del Sacro Cuore, Piacenza, Italy
| | - Shengkai Pan
- CAS Key Lab of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Cardiff University – Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, Beijing, China
| | - Xiangjiang Zhan
- CAS Key Lab of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Cardiff University – Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, Beijing, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Michael W. Bruford
- Cardiff University – Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, Beijing, China
- School of Biosciences and Sustainable Places Institute, Cardiff University, Cardiff, Wales UK
| | - Changsheng Dong
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi China
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3
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Discovery of genes and proteins possibly regulating mean wool fibre diameter using cDNA microarray and proteomic approaches. Sci Rep 2020; 10:7726. [PMID: 32382132 PMCID: PMC7206055 DOI: 10.1038/s41598-020-64903-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 03/30/2020] [Indexed: 01/06/2023] Open
Abstract
Wool fibre diameter (WFD) is one of the wool traits with higher economic impact. However, the main genes specifically regulating WFD remain unidentified. In this current work we have used Agilent Sheep Gene Expression Microarray and proteomic technology to investigate the gene expression patterns of body side skin, bearing more wool, in Aohan fine wool sheep, a Chinese indigenous breed, and compared them with that of small tail Han sheep, a sheep bread with coarse wool. Microarray analyses showed that most of the genes likely determining wool diameter could be classified into a few categories, including immune response, regulation of receptor binding and growth factor activity. Certain gene families might play a role in hair growth regulation. These include growth factors, immune cytokines, solute carrier families, cellular respiration and glucose transport amongst others. Proteomic analyses also identified scores of differentially expressed proteins.
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4
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Ji G, Zhang M, Liu Y, Shan Y, Tu Y, Ju X, Zou J, Shu J, Wu J, Xie J. A gene co‐expression network analysis of the candidate genes and molecular pathways associated with feather follicle traits of chicken skin. J Anim Breed Genet 2020; 138:122-134. [DOI: 10.1111/jbg.12481] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 03/23/2020] [Accepted: 04/03/2020] [Indexed: 12/23/2022]
Affiliation(s)
- Gai‐ge Ji
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province Institute of Poultry Science Chinese Academy of Agricultural Science Yangzhou China
| | - Ming Zhang
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province Institute of Poultry Science Chinese Academy of Agricultural Science Yangzhou China
| | - Yi‐fan Liu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province Institute of Poultry Science Chinese Academy of Agricultural Science Yangzhou China
| | - Yan‐ju Shan
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province Institute of Poultry Science Chinese Academy of Agricultural Science Yangzhou China
| | - Yun‐jie Tu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province Institute of Poultry Science Chinese Academy of Agricultural Science Yangzhou China
| | - Xiao‐jun Ju
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province Institute of Poultry Science Chinese Academy of Agricultural Science Yangzhou China
| | - Jian‐min Zou
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province Institute of Poultry Science Chinese Academy of Agricultural Science Yangzhou China
| | - Jing‐ting Shu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province Institute of Poultry Science Chinese Academy of Agricultural Science Yangzhou China
| | - Jun‐feng Wu
- Jiangsu Li‐hua Animal Husbandry Company Jiangsu China
| | - Jin‐fang Xie
- Jiangxi Academy of Agricultural Sciences Nanchang China
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5
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Fortes MRS, Zacchi LF, Nguyen LT, Raidan F, Weller MMDCA, Choo JJY, Reverter A, Rego JPA, Boe-Hansen GB, Porto-Neto LR, Lehnert SA, Cánovas A, Schulz BL, Islas-Trejo A, Medrano JF, Thomas MG, Moore SS. Pre- and post-puberty expression of genes and proteins in the uterus of Bos indicus heifers: the luteal phase effect post-puberty. Anim Genet 2018; 49:539-549. [PMID: 30192028 DOI: 10.1111/age.12721] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2018] [Indexed: 12/17/2022]
Abstract
Progesterone signaling and uterine function are crucial in terms of pregnancy establishment. To investigate how the uterine tissue and its secretion changes in relation to puberty, we sampled tissue and uterine fluid from six pre- and six post-pubertal Brahman heifers. Post-pubertal heifers were sampled in the luteal phase. Gene expression of the uterine tissue was investigated with RNA-sequencing, whereas the uterine fluid was used for protein profiling with mass spectrometry. A total of 4034 genes were differentially expressed (DE) at a nominal P-value of 0.05, and 26 genes were significantly DE after Bonferroni correction (P < 3.1 × 10-6 ). We also identified 79 proteins (out of 230 proteins) that were DE (P < 1 × 10-5 ) in the uterine fluid. When we compared proteomics and transcriptome results, four DE proteins were identified as being encoded by DE genes: OVGP1, GRP, CAP1 and HBA. Except for CAP1, the other three had lower expression post-puberty. The function of these four genes hypothetically related to preparation of the uterus for a potential pregnancy is discussed in the context of puberty. All DE genes and proteins were also used in pathway and ontology enrichment analyses to investigate overall function. The DE genes were enriched for terms related to ribosomal activity. Transcription factors that were deemed key regulators of DE genes are also reported. Transcription factors ZNF567, ZNF775, RELA, PIAS2, LHX4, SOX2, MEF2C, ZNF354C, HMG20A, TCF7L2, ZNF420, HIC1, GTF3A and two novel genes had the highest regulatory impact factor scores. These data can help to understand how puberty influences uterine function.
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Affiliation(s)
- M R S Fortes
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - L F Zacchi
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - L T Nguyen
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia.,Faculty of Biotechnology, Vietnam National University of Agriculture, Gialam, Hanoi, Vietnam
| | - F Raidan
- Animal Science Department, Universidade Federal de Viçosa, Vicosa, Minas Gerais, 36570-900, Brazil
| | - M M D C A Weller
- CSIRO Agriculture and Food, Queensland Bioscience Precinct, Brisbane, QLD 4072, Australia
| | - J J Y Choo
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - A Reverter
- Animal Science Department, Universidade Federal de Viçosa, Vicosa, Minas Gerais, 36570-900, Brazil
| | - J P A Rego
- Instituto Federal de Educação, Ciência e Tecnologia do Ceara, Fortaleza, Ceará, 62930-000, Brazil
| | - G B Boe-Hansen
- School of Veterinary Sciences, The University of Queensland, Gatton, QLD 4343, Australia
| | - L R Porto-Neto
- Animal Science Department, Universidade Federal de Viçosa, Vicosa, Minas Gerais, 36570-900, Brazil
| | - S A Lehnert
- Animal Science Department, Universidade Federal de Viçosa, Vicosa, Minas Gerais, 36570-900, Brazil
| | - A Cánovas
- Department of Animal Biosciences, Centre of Genetic Improvement for Livestock, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - B L Schulz
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - A Islas-Trejo
- Department of Animal Science, University of California Davis, Davis, CA, 95616, USA
| | - J F Medrano
- Department of Animal Science, University of California Davis, Davis, CA, 95616, USA
| | - M G Thomas
- Department of Animal Science, Colorado State University, Fort Collins, CO, 80523, USA
| | - S S Moore
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD 4072, Australia
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6
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Zhao J, Liu N, Liu K, He J, Yu J, Bu R, Cheng M, De W, Liu J, Li H. Identification of genes and proteins associated with anagen wool growth. Anim Genet 2016; 48:67-79. [PMID: 27611105 DOI: 10.1111/age.12480] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2016] [Indexed: 02/03/2023]
Abstract
Identifying genes of major effect for wool growth would offer strategies for improving the quality and increasing the yield of fine wool. In this study, we employed the Agilent Sheep Gene Expression Microarray and proteomic technology to investigate the gene expression patterns of body side skin (more wool growing) in Aohan fine wool sheep (a Chinese indigenous breed) in comparison with groin skin (no wool growing) at the anagen stage of the wool follicle. A microarray study revealed that 4772 probes were differentially expressed, including 2071 upregulated and 2701 downregulated probes, in the comparisons of body side skin vs. groin skin (S/G). The microarray results were verified by means of quantitative PCR. A total of 1099 probes were assigned to unique genes/transcripts. The number of distinct genes/transcripts (annotated) was 926, of which 352 were upregulated and 574 were downregulated. In S/G, 13 genes were upregulated by more than 10 fold, whereas 60 genes were downregulated by more than 10 fold. Further analysis revealed that the majority of the genes possibly related to the wool growth could be assigned to categories including regulation of cell division, intermediate filament, cytoskeletal part and growth factor activity. Several potential gene families may participate in hair growth regulation, including fibroblast growth factors, transforming growth factor-β, WNTs, insulin-like growth factor, vascular endothelial growth factors and so on. Proteomic analysis also revealed 196 differentially expressed protein points, of which 121 were identified as single protein points.
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Affiliation(s)
- J Zhao
- Qingdao Agricultural University, Qingdao, 266109, China.,Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China.,China Agricultural University, Beijing, 100193, China
| | - N Liu
- Qingdao Agricultural University, Qingdao, 266109, China
| | - K Liu
- Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China
| | - J He
- Qingdao Agricultural University, Qingdao, 266109, China
| | - J Yu
- Qingdao Agricultural University, Qingdao, 266109, China
| | - R Bu
- Qingdao Agricultural University, Qingdao, 266109, China
| | - M Cheng
- Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China
| | - W De
- Nanjing Medical University, Nanjing, 210029, China
| | - J Liu
- Qingdao Agricultural University, Qingdao, 266109, China
| | - H Li
- Qingdao Agricultural University, Qingdao, 266109, China.,Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China
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7
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Yue Y, Guo T, Liu J, Guo J, Yuan C, Feng R, Niu C, Sun X, Yang B. Exploring Differentially Expressed Genes and Natural Antisense Transcripts in Sheep (Ovis aries) Skin with Different Wool Fiber Diameters by Digital Gene Expression Profiling. PLoS One 2015; 10:e0129249. [PMID: 26076016 PMCID: PMC4468096 DOI: 10.1371/journal.pone.0129249] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Accepted: 05/06/2015] [Indexed: 11/18/2022] Open
Abstract
Wool fiber diameter (WFD) is the most important economic trait of wool. However, the genes specifically controlling WFD remain elusive. In this study, the expression profiles of skin from two groups of Gansu Alpine merino sheep with different WFD (a super-fine wool group [FD = 18.0 ± 0.5 μm, n=3] and a fine wool group [FD=23.0 ± 0.5 μm, n=3]) were analyzed using next-generation sequencing-based digital gene expression profiling. A total of 40 significant differentially expressed genes (DEGs) were detected, including 9 up-regulated genes and 31 down-regulated genes. Further expression profile analysis of natural antisense transcripts (NATs) showed that more than 30% of the genes presented in sheep skin expression profiles had NATs. A total of 7 NATs with significant differential expression were detected, and all were down-regulated. Among of 40 DEGs, 3 DEGs (AQP8, Bos d2, and SPRR) had significant NATs which were all significantly down-regulated in the super-fine wool group. In total of DEGs and NATs were summarized as 3 main GO categories and 38 subcategories. Among the molecular functions, cellular components and biological processes categories, binding, cell part and metabolic process were the most dominant subcategories, respectively. However, no significant enrichment of GO terms was found (corrected P-value >0.05). The pathways that were significantly enriched with significant DEGs and NATs were mainly the lipoic acid metabolism, bile secretion, salivary secretion and ribosome and phenylalanine metabolism pathways (P < 0.05). The results indicated that expression of NATs and gene transcripts were correlated, suggesting a role in gene regulation. The discovery of these DEGs and NATs could facilitate enhanced selection for super-fine wool sheep through gene-assisted selection or targeted gene manipulation in the future.
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Affiliation(s)
- Yaojing Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Jiangouyan Street, Lanzhou, China
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Jiangouyan Street, Lanzhou, China
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Jiangouyan Street, Lanzhou, China
| | - Jian Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Jiangouyan Street, Lanzhou, China
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Jiangouyan Street, Lanzhou, China
| | - Ruilin Feng
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Jiangouyan Street, Lanzhou, China
| | - Chune Niu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Jiangouyan Street, Lanzhou, China
| | - Xiaoping Sun
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Jiangouyan Street, Lanzhou, China
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Jiangouyan Street, Lanzhou, China
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8
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Liu N, Li H, Liu K, Yu J, Bu R, Cheng M, De W, Liu J, He G, Zhao J. Identification of skin-expressed genes possibly associated with wool growth regulation of Aohan fine wool sheep. BMC Genet 2014; 15:144. [PMID: 25511509 PMCID: PMC4272822 DOI: 10.1186/s12863-014-0144-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Accepted: 12/03/2014] [Indexed: 11/25/2022] Open
Abstract
Background Sheep are valuable resources for the animal fibre industry. Therefore, identifying genes which regulate wool growth would offer strategies for improving the quality of fine wool. In this study, we employed Agilent sheep gene expression microarray and proteomic technology to compare the gene expression patterns of the body side (hair-rich) and groin (hairless) skins of Aohan fine wool sheep (a Chinese indigenous breed). Results Comparing the body side to the groin skins (S/G) of Aohan fine wool sheep, the microarray study revealed that 1494 probes were differentially expressed, including 602 more highly expressed and 892 less highly expressed probes. The microarray results were verified by means of quantitative PCR. Cluster analysis could distinguish the body side skin and the groin skin. Based on the Database for Annotation, Visualization and Integrated Discovery (DAVID), 38 of the differentially expressed genes were classified into four categories, namely regulation of receptor binding, multicellular organismal process, protein binding and macromolecular complex. Proteomic study revealed that 187 protein spots showed significant (p < 0.05) differences in their respective expression levels. Among them, 46 protein entries were further identified by MALDI-TOF/MS analyses. Conclusions Microarray analysis revealed thousands of differentially expressed genes, many of which were possibly associated with wool growth. Several potential gene families might participate in hair growth regulation. Proteomic analysis also indentified hundreds of differentially expressed proteins. Electronic supplementary material The online version of this article (doi:10.1186/s12863-014-0144-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nan Liu
- Qingdao Agricultural University, Qingdao, 266109, China.
| | - Hegang Li
- Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China.
| | - Kaidong Liu
- Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China.
| | - Juanjuan Yu
- Qingdao Agricultural University, Qingdao, 266109, China.
| | - Ran Bu
- Qingdao Agricultural University, Qingdao, 266109, China.
| | - Ming Cheng
- Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China.
| | - Wei De
- Nanjing Medical University, Nanjing, 210002, China.
| | - Jifeng Liu
- Qingdao Agricultural University, Qingdao, 266109, China.
| | - Guangling He
- State key Laboratory of Hydroscience and Engineering, Beijing, 100084, China.
| | - Jinshan Zhao
- Qingdao Agricultural University, Qingdao, 266109, China. .,Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China. .,China Agricultural University, Beijing, 100193, China.
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9
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Liu N, Li H, Liu K, Yu J, Cheng M, De W, Liu J, Shi S, He Y, Zhao J. Differential expression of genes and proteins associated with wool follicle cycling. Mol Biol Rep 2014; 41:5343-9. [PMID: 24847760 DOI: 10.1007/s11033-014-3405-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2014] [Accepted: 05/06/2014] [Indexed: 01/31/2023]
Abstract
Sheep are valuable resources for the wool industry. Wool growth of Aohan fine wool sheep has cycled during different seasons in 1 year. Therefore, identifying genes that control wool growth cycling might lead to ways for improving the quality and yield of fine wool. In this study, we employed Agilent sheep gene expression microarray and proteomic technology to compare the gene expression patterns of the body side skins at August and December time points in Aohan fine wool sheep (a Chinese indigenous breed). Microarray study revealed that 2,223 transcripts were differentially expressed, including 1,162 up-regulated and 1,061 down-regulated transcripts, comparing body side skin at the August time point to the December one (A/D) in Aohan fine wool sheep. Then seven differentially expressed genes were selected to validated the reliability of the gene chip data. The majority of the genes possibly related to follicle development and wool growth could be assigned into the categories including regulation of receptor binding, extracellular region, protein binding and extracellular space. Proteomic study revealed that 84 protein spots showed significant differences in expression levels. Of the 84, 63 protein spots were upregulated and 21 were downregulated in A/D. Finally, 55 protein points were determined through MALDI-TOF/MS analyses. Furthermore, the regulation mechanism of hair follicle might resemble that of fetation.
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Affiliation(s)
- Nan Liu
- Qingdao Agricultural University, Qingdao, 266109, China,
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10
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Peñagaricano F, Zorrilla P, Naya H, Robello C, Urioste JI. Gene expression analysis identifies new candidate genes associated with the development of black skin spots in Corriedale sheep. J Appl Genet 2011; 53:99-106. [PMID: 21952730 DOI: 10.1007/s13353-011-0066-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2011] [Revised: 08/25/2011] [Accepted: 09/14/2011] [Indexed: 10/17/2022]
Abstract
The white coat colour of sheep is an important economic trait. For unknown reasons, some animals are born with, and others develop with time, black skin spots that can also produce pigmented fibres. The presence of pigmented fibres in the white wool significantly decreases the fibre quality. The aim of this work was to study gene expression in black spots (with and without pigmented fibres) and white skin by microarray techniques, in order to identify the possible genes involved in the development of this trait. Five unrelated Corriedale sheep were used and, for each animal, the three possible comparisons (three different hybridisations) between the three samples of interest were performed. Differential gene expression patterns were analysed using different t-test approaches. Most of the major genes with well-known roles in skin pigmentation, e.g. ASIP, MC1R and C-KIT, showed no significant difference in the gene expression between white skin and black spots. On the other hand, many of the differentially expressed genes (raw P-value < 0.005) detected in this study, e.g. C-FOS, KLF4 and UFC1, fulfil biological functions that are plausible to be involved in the formation of black spots. The gene expression of C-FOS and KLF4, transcription factors involved in the cellular response to external factors such as ultraviolet light, was validated by quantitative polymerase chain reaction (PCR). This exploratory study provides a list of candidate genes that could be associated with the development of black skin spots that should be studied in more detail. Characterisation of these genes will enable us to discern the molecular mechanisms involved in the development of this feature and, hence, increase our understanding of melanocyte biology and skin pigmentation. In sheep, understanding this phenomenon is a first step towards developing molecular tools to assist in the selection against the presence of pigmented fibres in white wool.
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Affiliation(s)
- Francisco Peñagaricano
- Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la Republica, Montevideo, Uruguay.
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Pariset L, Chillemi G, Bongiorni S, Romano Spica V, Valentini A. Microarrays and high-throughput transcriptomic analysis in species with incomplete availability of genomic sequences. N Biotechnol 2009; 25:272-9. [PMID: 19446516 DOI: 10.1016/j.nbt.2009.03.013] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Microarrays produce a measurement of gene expression based on the relative measures of dye intensities that correspond to the amount of target RNA. This technology is fast developing and its application is expanding from Homo sapiens to a wide number of species, where enough information on sequences and annotations exist. Anyway, the number of species for which a dedicated platform exists is not high. The use of heterologous array hybridization, screening for gene expression in one species using an array developed for another one, is still quite frequent, even though cross-species microarray hybridization has raised many arguments. Some methods which are high throughput and do not rely on knowledge of the DNA/RNA sequence exist, namely serial analysis of gene expression (SAGE), Massively Parallel Signature Sequencing (MPSS) and deep sequencing of full transcriptome. Although very powerful, particularly the latter, they are still quite costly and cumbersome methods. In some species where genome sequences are largely unknown, several anonymous sequences are deposited in gene banks as a result of Expressed Sequence Tags (ESTs) sequencing projects. The ESTs databases represent a valuable knowledge that can be exploited with some bioinformatic effort to build species-specific microarrays. We present here a method of high-density in situ synthesized microarrays starting from available EST sequences in, Ovis aries. Our data indicate that the method is very efficient and can be easily extended to other species of which genetic sequences are present in public databases, but neglected so far with advanced devices like microarrays. As a perspective, the approach can be applied also to species of which no sequences are available to date, thanks to high-throughput deep sequencing methods.
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Affiliation(s)
- Lorraine Pariset
- Department of Animal Production, Università della Tuscia, Viterbo, Italy
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Watkins C, McKellar A, Jensen K, George A, Jones D, Sharp MJ, Stevenson K, Hopkins J. Development and validation of an oligonucleotide microarray for immuno-inflammatory genes of ruminants. Vet Res Commun 2008; 32:647-57. [DOI: 10.1007/s11259-008-9066-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2008] [Accepted: 04/22/2008] [Indexed: 11/29/2022]
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Fleece rot and dermatophilosis in sheep. Vet Microbiol 2007; 128:217-30. [PMID: 18055136 DOI: 10.1016/j.vetmic.2007.10.024] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2007] [Revised: 10/24/2007] [Accepted: 10/26/2007] [Indexed: 12/31/2022]
Abstract
Fleece rot and dermatophilosis reduce health and production of sheep and predispose them to blow fly strike. This paper reviews aetiology, prevalence, pathogenesis, resistance, attempts to develop vaccines and prospects for new control strategies to these important skin diseases. Although the severity of fleece rot is associated with the abundance of Pseudomonas aeruginosa on skin, microbial ecology studies are providing new insights into the contribution of other bacteria to the disease. Wool traits and body conformation traits that predispose sheep to fleece rot and dermatophilosis are heritable and have been used as indirect selection criteria for resistance for many years. Selection against BoLA-DRB3-DQB class II haplotype in cattle can substantially reduce the prevalence of dermatophilosis and holds promise for identification of gene markers for resistance to these bacterial diseases in sheep. Immune responses in skin and systemic antibody responses to bacterial antigens are acquired through natural infection and contribute to resistance; however, prototype antibacterial vaccines have to date failed to provide protection against the diversity of isolates of Dermatophilus congolensis and Pseudomonas species present in the field. Opportunities for future control through breeding for resistance, vaccines and non-vaccine strategies for controlling the microbial ecology of fleece are discussed. In combination, control strategies need to reduce the risk of transmission, minimise exposure of animals to stressors that enhance the risk of infection, and enhance resistance though genetics or vaccines.
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Wang YH, Reverter A, Kemp D, McWilliam SM, Ingham A, Davis CA, Moore RJ, Lehnert SA. Gene expression profiling of Hereford Shorthorn cattle following challenge with Boophilus microplus tick larvae. ACTA ACUST UNITED AC 2007. [DOI: 10.1071/ea07012] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The ability of cattle to resist tick infestations is partly genetically determined. In order to better define the nature of Bos taurus resistance to the cattle tick Boophilus microplus, skin gene expression was studied using a cattle skin derived cDNA microarray. Expression profiles were determined in skin biopsies sampled from three highly tick resistant animals (HR) and two animals with lower tick resistance (LR) at time 0, immediately before challenge, and again 24 h after challenge. The analysis of the resulting expression data addressed two biological questions: first, for any animal exposed to ticks, which genes are differentially expressed in the 24 h following challenge; and second, which genes are differentially expressed between animals of high and low resistance at 24 h after challenge? In total, 214 genes were found to be differentially expressed in response to larval challenge across all the animals. Seventy-two genes were upregulated and 76 were downregulated at 24 h after challenge. Genes with significantly altered gene expression levels following tick infestation were predominantly keratin genes or mitochondrial genes, as well as odorant binding protein (OBP) and Bos taurus major allergen BDA20. In addition, we identified 66 genes with differential expression between HR and LR animals at 24 h. Of these, genes representing the extracellular matrix and immunoglobulin gene expression pathways were overrepresented. Three differentially expressed genes, OBP, Bos taurus major allergen BDA20 and dendritic cell protein HFL-B5 were further analysed by quantitative reverse transcription PCR (qRT-PCR). The qRT-PCR assay results closely mirrored the expression profiles found in the microarray experiment.
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