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Mohan K, Kumar P, Kundu A. Comparative analysis of the physical and phenotypic traits of native cattle ( Bos indicus) in the Tarai region of North Bihar for conservation. Vet World 2025; 18:95-101. [PMID: 40041518 PMCID: PMC11873396 DOI: 10.14202/vetworld.2025.95-101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 11/21/2024] [Indexed: 03/06/2025] Open
Abstract
Background and Aim The evaluation of the phenotypic and morphological characteristics of indigenous breeds may help to frame breeding policies and plans to implement breed conservation and improvement programs to increase the efficiency of the native breed of the Tarai region. This study aimed to determine the phenotypic and morphological characteristics of indigenous cattle of the Tarai region of North Bihar. Materials and Methods A field study was undertaken in 32 villages belonging to 13 blocks of the East and West Champaran districts of Bihar. Animals (n = 562) of different age groups were studied to evaluate their phenotypic and morphological characteristics. Results It revealed that cattle of the Tarai region are small breeds, and the heights at withers in the females and males were 104.2 ± 0.32 cm and 115 ± 0.27, respectively, with a significant (p = 0.000) difference between sexes. In addition, heart girth was significantly (p = 0.000) higher in males than females. Body length and chest girth were 101.6 ± 0.13 cm and 132.6 ± 0.25 in adult females and 114.8 ± 0.23 cm and 145.7 ± 0.15 cm in adult males, respectively. Body weight also differed significantly (p = 0.001), with 180.9 ± 1.12 and 208.7 ± 1.91 cm for females and males, respectively. Among the draught animals of India, the region cows were comparatively low milkers, with an average lactation yield of 680.2 ± 4.52 kg with a mean lactation length of 224.5 ± 2.06 days and a peak yield of 3.4 ± 0.06 kg/day. The age at first calving and calving interval of Tarai cattle was recorded 32.4 ± 0.22 months and 16.2 ± 0.12 months, respectively. Conclusion The results of this study could serve as a potential guide for the establishment and identification of new cattle breeds based on the phenotypic and morphometric characteristics of the cattle in Tarai region of North Bihar using baseline data. The data generated from this study can be useful for new Tarai breed identification and serve to establish long-term selective breeding programs for Tarai cattle in the region.
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Affiliation(s)
- Krishna Mohan
- Centre of Excellence on Indigenous Breed, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, India
| | - Pramod Kumar
- Centre of Excellence on Indigenous Breed, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, India
| | - Anandamoy Kundu
- Centre of Excellence on Indigenous Breed, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, India
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Du H, Zhou L, Liu Z, Zhuo Y, Zhang M, Huang Q, Lu S, Xing K, Jiang L, Liu JF. The 1000 Chinese Indigenous Pig Genomes Project provides insights into the genomic architecture of pigs. Nat Commun 2024; 15:10137. [PMID: 39578420 PMCID: PMC11584710 DOI: 10.1038/s41467-024-54471-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 11/11/2024] [Indexed: 11/24/2024] Open
Abstract
Pigs play a central role in human livelihoods in China, but a lack of systematic large-scale whole-genome sequencing of Chinese domestic pigs has hindered genetic studies. Here, we present the 1000 Chinese Indigenous Pig Genomes Project sequencing dataset, comprising 1011 indigenous individuals from 50 pig populations covering approximately two-thirds of China's administrative divisions. Based on the deep sequencing (~25.95×) of these pigs, we identify 63.62 million genomic variants, and provide a population-specific reference panel to improve the imputation performance of Chinese domestic pig populations. Using a combination of methods, we detect an ancient admixture event related to a human immigration climax in the 13th century, which may have contributed to the formation of southeast-central Chinese pig populations. Analyzing the haplotypes of the Y chromosome shows that the indigenous populations residing around the Taihu Lake Basin exhibit a unique haplotype. Furthermore, we find a 13 kb region in the THSD7A gene that may relate to high-altitude adaptation, and a 0.47 Mb region on chromosome 7 that is significantly associated with body size traits. These results highlight the value of our genomic resource in facilitating genomic architecture and complex traits studies in pigs.
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Affiliation(s)
- Heng Du
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lei Zhou
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Zhen Liu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yue Zhuo
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Meilin Zhang
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Qianqian Huang
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shiyu Lu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Kai Xing
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Li Jiang
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jian-Feng Liu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China.
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Brandon AA, Michael C, Carmona Baez A, Moore EC, Ciccotto PJ, Roberts NB, Roberts RB, Powder KE. Distinct genetic origins of eumelanin levels and barring patterns in cichlid fishes. PLoS One 2024; 19:e0306614. [PMID: 38976656 PMCID: PMC11230561 DOI: 10.1371/journal.pone.0306614] [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: 09/13/2023] [Accepted: 06/20/2024] [Indexed: 07/10/2024] Open
Abstract
Pigment patterns are incredibly diverse across vertebrates and are shaped by multiple selective pressures from predator avoidance to mate choice. A common pattern across fishes, but for which we know little about the underlying mechanisms, is repeated melanic vertical bars. To understand the genetic factors that modify the level or pattern of vertical barring, we generated a genetic cross of 322 F2 hybrids between two cichlid species with distinct barring patterns, Aulonocara koningsi and Metriaclima mbenjii. We identify 48 significant quantitative trait loci that underlie a series of seven phenotypes related to the relative pigmentation intensity, and four traits related to patterning of the vertical bars. We find that genomic regions that generate variation in the level of eumelanin produced are largely independent of those that control the spacing of vertical bars. Candidate genes within these intervals include novel genes and those newly-associated with vertical bars, which could affect melanophore survival, fate decisions, pigment biosynthesis, and pigment distribution. Together, this work provides insights into the regulation of pigment diversity, with direct implications for an animal's fitness and the speciation process.
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Affiliation(s)
- A. Allyson Brandon
- Department of Biological Sciences, Clemson University, Clemson, South Carolina, United States of America
| | - Cassia Michael
- Department of Biological Sciences, Clemson University, Clemson, South Carolina, United States of America
| | - Aldo Carmona Baez
- Department of Biological Sciences, Genetics and Genomics Academy, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Emily C. Moore
- Department of Biological Sciences, Genetics and Genomics Academy, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Patrick J. Ciccotto
- Department of Biology, Warren Wilson College, Swannanoa, North Carolina, United States of America
| | - Natalie B. Roberts
- Department of Biological Sciences, Genetics and Genomics Academy, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Reade B. Roberts
- Department of Biological Sciences, Genetics and Genomics Academy, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Kara E. Powder
- Department of Biological Sciences, Clemson University, Clemson, South Carolina, United States of America
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Li Q, Hao M, Zhu J, Yi L, Cheng W, Xie Y, Zhao S. Comparison of differentially expressed genes in longissimus dorsi muscle of Diannan small ears, Wujin and landrace pigs using RNA-seq. Front Vet Sci 2024; 10:1296208. [PMID: 38249550 PMCID: PMC10796741 DOI: 10.3389/fvets.2023.1296208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 12/05/2023] [Indexed: 01/23/2024] Open
Abstract
Introduction Pig growth is an important economic trait that involves the co-regulation of multiple genes and related signaling pathways. High-throughput sequencing has become a powerful technology for establishing the transcriptome profiles and can be used to screen genome-wide differentially expressed genes (DEGs). In order to elucidate the molecular mechanism underlying muscle growth, this study adopted RNA sequencing (RNA-seq) to identify and compare DEGs at the genetic level in the longissimus dorsi muscle (LDM) between two indigenous Chinese pig breeds (Diannan small ears [DSE] pig and Wujin pig [WJ]) and one introduced pig breed (Landrace pig [LP]). Methods Animals under study were from two Chinese indigenous pig breeds (DSE pig, n = 3; WJ pig, n = 3) and one introduced pig breed (LP, n = 3) were used for RNA sequencing (RNA-seq) to identify and compare the expression levels of DEGs in the LDM. Then, functional annotation, Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and Protein-Protein Interaction (PPI) network analysis were performed on these DEGs. Then, functional annotation, Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and Protein-Protein Interaction (PPI) network analysis were performed on these DEGs. Results The results revealed that for the DSE, WJ, and LP libraries, more than 66, 65, and 71 million clean reads were generated by transcriptome sequencing, respectively. A total of 11,213 genes were identified in the LDM tissue of these pig breeds, of which 7,127 were co-expressed in the muscle tissue of the three samples. In total, 441 and 339 DEGs were identified between DSE vs. WJ and LP vs. DSE in the study, with 254, 193 up-regulated genes and 187, 193 down-regulated genes in DSE compared to WJ and LP. GO analysis and KEGG signaling pathway analysis showed that DEGs are significantly related to contractile fiber, sarcolemma, and dystrophin-associated glycoprotein complex, myofibril, sarcolemma, and myosin II complex, Glycolysis/Gluconeogenesis, Propanoate metabolism, and Pyruvate metabolism, etc. In combination with functional annotation of DEGs, key genes such as ENO3 and JUN were identified by PPI network analysis. Discussion In conclusion, the present study revealed key genes including DES, FLNC, PSMD1, PSMD6, PSME4, PSMB4, RPL11, RPL13A, ROS23, RPS29, MYH1, MYL9, MYL12B, TPM1, TPM4, ENO3, PGK1, PKM2, GPI, and the unannotated new gene ENSSSCG00000020769 and related signaling pathways that influence the difference in muscle growth and could provide a theoretical basis for improving pig muscle growth traits in the future.
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Affiliation(s)
- Qiuyan Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Meilin Hao
- College of Biology and Agriculture, Zunyi Normal University, Zunyi, China
| | - Junhong Zhu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Lanlan Yi
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Wenjie Cheng
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Yuxiao Xie
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
- College of Biology and Agriculture, Zunyi Normal University, Zunyi, China
| | - Sumei Zhao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
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Zheng H, Xiong SY, Xiao SJ, Zhang ZK, Tu JM, Cui DS, Yu NB, Huang ZY, Li LY, Guo YM. Association between MC1R gene and coat color segregation in Shanxia long black pig and Lulai black pig. BMC Genom Data 2023; 24:74. [PMID: 38036989 PMCID: PMC10691012 DOI: 10.1186/s12863-023-01161-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 09/20/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Coat color, as a distinct phenotypic characteristic of pigs, is often subject to preference and selection, such as in the breeding process of new breed. Shanxia long black pig was derived from an intercross between Berkshire boars and Licha black pig sows, and it was bred as a paternal strain with high-quality meat and black coat color. Although the coat color was black in the F1 generation of the intercross, it segregated in the subsequent generations. This study aims to decode the genetic basis of coat color segregation and develop a method to distinct black pigs from the spotted in Shanxia long black pig. RESULTS Only a QTL was mapped at the proximal end of chromosome 6, and MC1R gene was picked out as functional candidate gene. A total of 11 polymorphic loci were identified in MC1R gene, and only the c.67_68insCC variant was co-segregating with coat color. This locus isn't recognized by any restriction endonuclease, so it can't be genotyped by PCR-RFLP. The c.370G > A polymorphic locus was also significantly associated with coat color, and has been in tightly linkage disequilibrium with the c.67_68insCC. Furthermore, it is recognized by BspHI. Therefore, a PCR-RFLP method was set up to genotype this locus. Besides the 175 sequenced individuals, another more 1,391 pigs were genotyped with PCR-RFLP, and all of pigs with GG (one band) were black. CONCLUSION MC1R gene (c.67_68insCC) is the causative gene (mutation) for the coat color segregation, and the PCR-RFLP of c.370G > A could be used in the breeding program of Shanxia long black pig.
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Affiliation(s)
- Hao Zheng
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
- Jiangxi Shanxia Huaxi Pig Breeding Company Limited, Ganzhou, Jiangxi, 341000, China
| | - San-Ya Xiong
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Shi-Jun Xiao
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Ze-Kai Zhang
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Jin-Min Tu
- Jiangxi Shanxia Huaxi Pig Breeding Company Limited, Ganzhou, Jiangxi, 341000, China
| | - Deng-Shuai Cui
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Nai-Biao Yu
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Zhi-Yong Huang
- Jiangxi Shanxia Huaxi Pig Breeding Company Limited, Ganzhou, Jiangxi, 341000, China
| | - Long-Yun Li
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.
- The College of Life Science, Nanchang Normal University, Nanchang, Jiangxi, 330045, China.
| | - Yuan-Mei Guo
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.
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Chong Y, Tu X, Lu Y, Gao Z, He X, Hong J, Wu J, Wu D, Xi D, Deng W. Two High-Quality Cygnus Genome Assemblies Reveal Genomic Variations Associated with Plumage Color. Int J Mol Sci 2023; 24:16953. [PMID: 38069278 PMCID: PMC10707585 DOI: 10.3390/ijms242316953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 11/26/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
As an exemplary model for examining molecular mechanisms responsible for extreme phenotypic variations, plumage color has garnered significant interest. The Cygnus genus features two species, Cygnus olor and Cygnus atratus, that exhibit striking disparities in plumage color. However, the molecular foundation for this differentiation has remained elusive. Herein, we present two high-quality genomes for C. olor and C. atratus, procured using the Illumina and Nanopore technologies. The assembled genome of C. olor was 1.12 Gb in size with a contig N50 of 26.82 Mb, while its counterpart was 1.13 Gb in size with a contig N50 of 21.91 Mb. A comparative analysis unveiled three genes (TYR, SLC45A2, and SLC7A11) with structural variants in the melanogenic pathway. Notably, we also identified a novel gene, PWWP domain containing 2A (PWWP2A), that is related to plumage color, for the first time. Using targeted gene modification analysis, we demonstrated the potential genetic effect of the PWWP2A variant on pigment gene expression and melanin production. Finally, our findings offer insight into the intricate pattern of pigmentation and the role of polygenes in birds. Furthermore, these two high-quality genome references provide a comprehensive resource and perspective for comparative functional and genetic studies of evolution within the Cygnus genus.
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Affiliation(s)
- Yuqing Chong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Xiaolong Tu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China;
| | - Ying Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Zhendong Gao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Xiaoming He
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Jieyun Hong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Jiao Wu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Dongdong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China;
| | - Dongmei Xi
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Weidong Deng
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
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Brandon AA, Michael C, Carmona Baez A, Moore EC, Ciccotto PJ, Roberts NB, Roberts RB, Powder KE. Distinct genetic origins of eumelanin intensity and barring patterns in cichlid fishes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.02.547430. [PMID: 37461734 PMCID: PMC10349982 DOI: 10.1101/2023.07.02.547430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Pigment patterns are incredibly diverse across vertebrates and are shaped by multiple selective pressures from predator avoidance to mate choice. A common pattern across fishes, but for which we know little about the underlying mechanisms, is repeated melanic vertical bars. In order to understand genetic factors that modify the level or pattern of vertical barring, we generated a genetic cross of 322 F2 hybrids between two cichlid species with distinct barring patterns, Aulonocara koningsi and Metriaclima mbenjii. We identify 48 significant quantitative trait loci that underlie a series of seven phenotypes related to the relative pigmentation intensity, and four traits related to patterning of the vertical bars. We find that genomic regions that generate variation in the level of eumelanin produced are largely independent of those that control the spacing of vertical bars. Candidate genes within these intervals include novel genes and those newly-associated with vertical bars, which could affect melanophore survival, fate decisions, pigment biosynthesis, and pigment distribution. Together, this work provides insights into the regulation of pigment diversity, with direct implications for an animal's fitness and the speciation process.
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Affiliation(s)
- A. Allyson Brandon
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
| | - Cassia Michael
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
| | - Aldo Carmona Baez
- Department of Biological Sciences, and Genetics and Genomics Academy, North Carolina State University, Raleigh, NC 27695, USA
| | - Emily C. Moore
- Department of Biological Sciences, and Genetics and Genomics Academy, North Carolina State University, Raleigh, NC 27695, USA
- Department of Biological Sciences, University of Montana, Missoula, MT 59812, USA
| | | | - Natalie B. Roberts
- Department of Biological Sciences, and Genetics and Genomics Academy, North Carolina State University, Raleigh, NC 27695, USA
| | - Reade B. Roberts
- Department of Biological Sciences, and Genetics and Genomics Academy, North Carolina State University, Raleigh, NC 27695, USA
| | - Kara E. Powder
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
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Li C, Han J, Duan D, Liu C, Han X, Wang K, Qiao R, Li XL, Li XJ. Lymphoid enhancer binding factor 1 is associated with nose color in Yunong black pigs. Anim Genet 2023; 54:398-402. [PMID: 36649734 DOI: 10.1111/age.13292] [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: 07/16/2022] [Revised: 11/11/2022] [Accepted: 12/31/2022] [Indexed: 01/19/2023]
Abstract
Yunong black pig is an indigenous black pig breed being cultivated that has a pure black whole body. However, some individuals appear with a white spot on the nose. We performed case-control association studies and FST approaches in 76 animals with nose color records (26 white-nosed pigs vs. 50 black-nosed pigs) by Illumina Porcine SNP50 BeadChip data. In total, 76 SNPs, which included 2 genome-wide significant SNPs and 18 chromosome-wide suggestive SNPs, were identified by association study. The top-ranked 0.1% windows of FST results as signals under selection and 24 windows were selected. The lymphoid enhancer binding factor 1 was identified as candidate gene with strong signal in analyses of genome-wide association study and FST in black- and white-nosed pigs. Overall, our findings provide evidence that nose color is a heritable trait influenced by many loci. The results contribute to expand our understanding of pigmentation in pigs and provide SNP markers for skin color and related traits selection in Yunong black pigs. Additional research on the genetic link between nose pigmentation is needed.
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Affiliation(s)
- Cong Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Jinyi Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Dongdong Duan
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Chuang Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Xuelei Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Kejun Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Ruimin Qiao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Xiu-Ling Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Xin-Jian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
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9
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Fontanesi L. Genetics and genomics of pigmentation variability in pigs: A review. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.105079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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10
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Liu Y, Fang C, Pi Y, Ke T, Chu J, Tang L, Zhang L, Wanchana S, Liao C. Brain structure analysis of different age groups of Diannan small-ear pigs. IBRAIN 2022; 8:314-323. [PMID: 37786734 PMCID: PMC10528979 DOI: 10.1002/ibra.12058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 07/22/2022] [Accepted: 07/26/2022] [Indexed: 10/04/2023]
Abstract
The objective of the study is to investigate the brain development and atrophy of Diannan small-ear pigs in different ages using magnetic resonance imaging (MRI). A total of 12 Diannan small-ear pigs were included and divided into the young group, adult group, and middle-and-old age (M&O) group according to their age. The brain structure of pigs was scanned using MRI, and the brain data obtained were statistically analyzed by signal conversion and image reconstruction. Compared with the young group, the signals of most brain structures in the adult group and M&O group were significantly decreased (p < 0.05). Compared with the adult group, the signal intensity of the right caudate nucleus and the right lateral ventricle in the M&O group was significantly increased, while the signal intensity of other regions was almost significantly decreased (p < 0.05). Compared with the young group, both adult and M&O groups had some degree of brain atrophy. Brain atrophy in the precuneus and the inferior temporal gyrus was more predominant in the M&O group in comparison with the adult group. The present study demonstrated that the brain signal of Diannan small-ear pigs gradually diminished with age, while the degree of brain atrophy was the opposite, providing the basic data on the brain of Diannan small-ear pigs.
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Affiliation(s)
- Yi‐Fan Liu
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical UniversityYunnan Cancer HospitalKunmingChina
| | - Chang‐Le Fang
- School of AnesthesiologySouthwest Medical UniversityLuzhouChina
| | - Yu Pi
- School of AnesthesiologySouthwest Medical UniversityLuzhouChina
| | - Teng‐Fei Ke
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical UniversityYunnan Cancer HospitalKunmingChina
| | - Ji‐Xiang Chu
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical UniversityYunnan Cancer HospitalKunmingChina
| | - Lin‐Na Tang
- School of AnesthesiologySouthwest Medical UniversityLuzhouChina
| | - Lan‐Chun Zhang
- Department of Laboratory Animal, Institute of NeuroscienceKunming Medical UniversityKunmingChina
| | | | - Cheng‐De Liao
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical UniversityYunnan Cancer HospitalKunmingChina
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11
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Liu Z, Yang J, Li H, Zhong Z, Huang J, Fu J, Zhao H, Liu X, Jiang S. Identifying Candidate Genes for Short Gestation Length Trait in Chinese Qingping Pigs by Whole-Genome Resequencing and RNA Sequencing. Front Genet 2022; 13:857705. [PMID: 35664295 PMCID: PMC9159352 DOI: 10.3389/fgene.2022.857705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/25/2022] [Indexed: 11/16/2022] Open
Abstract
Gestation length is a complex polygenic trait that affects pig fetal development. The Qingping (QP) pig, a Chinese native black pig breed, is characterized by short gestation length. However, the genetic architecture of short gestation length is still not clear. The present study aimed to explore the genetic architecture of short gestation length in QP pigs. In this study, selective sweep analyses were performed to detect selective sweep signatures for short gestation length traits between 100 QP pigs and 219 pigs from 15 other breeds. In addition, differentially expressed genes for the short gestation length between QP pigs and Large White pigs were detected by RNA sequencing. Comparing candidate genes from these methods with known genes for preterm birth in the database, we obtained 111 candidate genes that were known preterm birth genes. Prioritizing other candidate genes, 839 novel prioritized candidate genes were found to have significant functional similarity to preterm birth genes. In particular, we highlighted EGFR, which was the most prioritized novel candidate relative to preterm birth genes. Experimental validations in placental and porcine trophectoderm cells suggest that EGFR is highly expressed in the QP pigs with short gestation length and could regulate the NF-κΒ pathway and downstream expression of PTGS2. These findings comprehensively identified candidate genes for short gestation length trait at the genomic and transcriptomic levels. These candidate genes provide an important new resource for further investigation and genetic improvement of gestation length.
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Affiliation(s)
- Zezhang Liu
- Key Laboratory of Swine Genetics and Breeding of the Agricultural Ministry and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jun Yang
- College of Animal Science, Yangtze University, Jingzhou, China
| | - Hong Li
- Novogene Bioinformatics Institute, Beijing, China
| | - Zhuxia Zhong
- Key Laboratory of Swine Genetics and Breeding of the Agricultural Ministry and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jian Huang
- Key Laboratory of Swine Genetics and Breeding of the Agricultural Ministry and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jie Fu
- Key Laboratory of Swine Genetics and Breeding of the Agricultural Ministry and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Hucheng Zhao
- Key Laboratory of Swine Genetics and Breeding of the Agricultural Ministry and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiaolei Liu
- Key Laboratory of Swine Genetics and Breeding of the Agricultural Ministry and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University Hubei Hongshan Laboratory, Wuhan, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- *Correspondence: Xiaolei Liu, ; Siwen Jiang,
| | - Siwen Jiang
- Key Laboratory of Swine Genetics and Breeding of the Agricultural Ministry and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
- *Correspondence: Xiaolei Liu, ; Siwen Jiang,
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12
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Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia. Genet Sel Evol 2022; 54:30. [PMID: 35484510 PMCID: PMC9052598 DOI: 10.1186/s12711-022-00718-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 04/05/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The importance of local breeds as genetic reservoirs of valuable genetic variation is well established. Pig breeding in Central and South-Eastern Europe has a long tradition that led to the formation of several local pig breeds. In the present study, genetic diversity parameters were analysed in six autochthonous pig breeds from Slovenia, Croatia and Serbia (Banija spotted, Black Slavonian, Turopolje pig, Swallow-bellied Mangalitsa, Moravka and Krskopolje pig). Animals from each of these breeds were genotyped using microsatellites and single nucleotide polymorphisms (SNPs). The results obtained with these two marker systems and those based on pedigree data were compared. In addition, we estimated inbreeding levels based on the distribution of runs of homozygosity (ROH) and identified genomic regions under selection pressure using ROH islands and the integrated haplotype score (iHS). RESULTS The lowest heterozygosity values calculated from microsatellite and SNP data were observed in the Turopolje pig. The observed heterozygosity was higher than the expected heterozygosity in the Black Slavonian, Moravka and Turopolje pig. Both types of markers allowed us to distinguish clusters of individuals belonging to each breed. The analysis of admixture between breeds revealed potential gene flow between the Mangalitsa and Moravka, and between the Mangalitsa and Black Slavonian, but no introgression events were detected in the Banija spotted and Turopolje pig. The distribution of ROH across the genome was not uniform. Analysis of the ROH islands identified genomic regions with an extremely high frequency of shared ROH within the Swallow-bellied Mangalitsa, which harboured genes associated with cholesterol biosynthesis, fatty acid metabolism and daily weight gain. The iHS approach to detect signatures of selection revealed candidate regions containing genes with potential roles in reproduction traits and disease resistance. CONCLUSIONS Based on the estimation of population parameters obtained from three data sets, we showed the existence of relationships among the six pig breeds analysed here. Analysis of the distribution of ROH allowed us to estimate the level of inbreeding and the extent of homozygous regions in these breeds. The iHS analysis revealed genomic regions potentially associated with phenotypic traits and allowed the detection of genomic regions under selection pressure.
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13
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Islam MS, Yimer N, Haron AW, Abdullah FFJ, Han MHW, Mamat-Hamidi K, Zawawi HBM. First study on phenotypic and morphological characteristics of Malaysian Kedah-Kelantan cattle (Bos indicus) and method of estimating their body weight. Vet World 2022; 15:728-736. [PMID: 35497965 PMCID: PMC9047116 DOI: 10.14202/vetworld.2022.728-736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 01/16/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Aim: Indigenous Kedah-Kelantan (KK) cattle are well adapted with distinguished reproductive capabilities; they account for more than 70% of the domestic beef production in Malaysia. The published literature on the phenotypic and morphometric characteristics of KK cattle are sparse and require further improvement. Therefore, this study was aimed to determine the phenotypic and morphometric characteristics of Malaysian KK cattle and method of estimating live body weight (BW). Materials and Methods: Morphometric and phenotypic measurements were taken from 184 KK cattle (102 males and 82 females) sourced from three regions. Each animal’s color pattern was recorded for their coat, muzzle, face, eyelashes, horns, tail switch, hoof, and legs through visual observation. Length measurements were taken of the body, face, ear, horn, tail, and rump. Several morphological features such as length, width, and girth were measured using a measuring tape, while wither height and hip height were assessed with a measuring scale. Results: Brown is the predominant coat color in KK cattle (>82%). The overall means of head length, face width (FW), ear length, horn length, wither height, heart girth (HG), body length (BL), and rump length were 42.5±4.5, 17.3±2.9, 19.8±3.1, 9.9±4.4, 104.3±7.1, 127.4±13.2, 98.3±12.3, and 32.4±4.1 cm, respectively. Different morphometric parameters of length, width, and circumference were significantly ( p<0.01) larger in males than females, except for tail length and TG. Correlation coefficient and multiple regression analysis clearly revealed that BL is the best parameter for estimating live BW in KK cattle. Conclusion: Phenotypic and morphometric measurements in this study showed that Malaysian KK cattle generally possess a brown coat pattern with smaller body size, while BL revealed to be the best parameter to predict BW. The data generated from this study would be useful as baseline data for the identification and selection of KK cattle based on their phenotypical- and morphological-features for further improvement of this breed.
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Affiliation(s)
- Mohammed Sirajul Islam
- Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Animal Production Research Division, Bangladesh Livestock Research Institute, Savar, Dhaka- 1341, Bangladesh
| | - Nurhusien Yimer
- Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - Abd Wahid Haron
- Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - Faez Firdaus Jesse Abdullah
- Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - Mark Hiew Wen Han
- Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - Kamalludin Mamat-Hamidi
- Department of Animal Science, Faculty of Agriculture, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
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14
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Bâlteanu VA, Cardoso TF, Amills M, Luigi-Sierra MG, Egerszegi I, Anton I, Zsolnai A. Red and blond Mangalitza pigs display a signature of divergent directional selection in the SLC45A2 gene. Anim Genet 2020; 52:66-77. [PMID: 33316088 DOI: 10.1111/age.13031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/19/2020] [Indexed: 12/11/2022]
Abstract
The Mangalitza lard-type pig breed is well known for its fat appearance and curly hair, and it is mainly distributed in Eastern Europe. Four main lines were created in the nineteenth century by artificial selection: Blond Mangalitza, Black Mangalitza, Swallow-Belly Mangalitza and Red Mangalitza. The Swallow-Belly line has a black coat combined with yellow-blond throat and underbelly. In the current work, we aimed to investigate if the colourations of Mangalitza pigs are genetically determined by one or a few loci whose frequencies have been modified by artificial selection. The results of selection scans, with HapFLK and BayeScan, and of a GWAS for coat colour highlighted the existence of one region on SSC16 (18-20 Mb) with potential effects on hair pigmentation (Red vs. Blond contrast). The analysis of the gene content of this region allowed us to detect the solute carrier family 45 member 2 (SLC45A2) locus as a candidate gene for this trait. The polymorphism of the SLC45A2 locus has been associated with reduced levels or the absence of melanin in several mammalian species. The genotyping of four missense polymorphisms evidenced that rs341599992:G > A and rs693695020:G > A SNPs are strongly but not fully associated with the red and blond coat colours of Mangalitza pigs, a result that was confirmed by performing a haplotype association test. The near fixation of alternative SLC45A2 genotypes in Red and Blond Mangalitza pigs provides a compelling example of the consequences of a divergent directional selection for coat colour in a domestic species.
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Affiliation(s)
- V A Bâlteanu
- Institute of Life Sciences, University of Agricultural Sciences and Veterinary Medicine, Calea Mănăştur 3-5, Cluj-Napoca, 400372, Romania
| | - T F Cardoso
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Bellaterra, 08193, Spain.,CAPES Foundation, Ministry of Education of Brazil, Brasilia, 7004020, Brazil
| | - M Amills
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Bellaterra, 08193, Spain.,Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - M G Luigi-Sierra
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Bellaterra, 08193, Spain
| | - I Egerszegi
- Szent István University, Páter Károly u. 1, Gödöllő, 2100, Hungary
| | - I Anton
- NARIC-Research Institute for Animal Breeding, Nutrition and Meat Science, Gesztenyés u. 1, Herceghalom, 2053, Hungary
| | - A Zsolnai
- NARIC-Research Institute for Animal Breeding, Nutrition and Meat Science, Gesztenyés u. 1, Herceghalom, 2053, Hungary
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15
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Wu F, Sun H, Lu S, Gou X, Yan D, Xu Z, Zhang Z, Qadri QR, Zhang Z, Wang Z, Chen Q, Li M, Wang X, Dong X, Wang Q, Pan Y. Genetic Diversity and Selection Signatures Within Diannan Small-Ear Pigs Revealed by Next-Generation Sequencing. Front Genet 2020; 11:733. [PMID: 32849777 PMCID: PMC7406676 DOI: 10.3389/fgene.2020.00733] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 06/16/2020] [Indexed: 12/26/2022] Open
Abstract
Genetic characterization of Chinese indigenous pig breeds is essential to promote scientific conservation and sustainable development of pigs. Here, we systematically surveyed the genomes of 75 unrelated Diannan small-ear (DSE) pigs from three diverse regions (Yingjiang County, Jinping County, and Sipsongpanna in Yunnan Province) to describe their population structures, genetic diversity, inbreeding coefficients, and selection signatures. First, these individuals were sequenced and genotyped using the genome reducing and sequencing (GGRS) protocol. A total of 438,038 autosomal single-nucleotide polymorphisms (SNPs) were obtained and used for subsequent statistical analysis. The results showed that these DSE pigs were clearly differentiated into three separate clades revealed by the population structure and principal component analysis, which is consistent with their geographical origins. Diannan small-ear pigs owned lower genetic diversity when compared with some other pig breeds, which demonstrated the need to strengthen the conservation strategies for DSE pigs. In addition, the inbreeding coefficients based on runs of homozygosity (ROH) length (F ROH) were calculated in each ROH length categories, respectively. And the results indicated that the ancient (up to 50 generations ago) inbreeding had greater impacts than recent (within the last five generations) inbreeding within DSE pigs. Some candidate selection signatures within the DSE pig population were detected through the ROH islands and integrated haplotype homozygosity score (iHS) methods. And genes associated with meat quality (COL15A1, RPL3L, and SLC9A3R2), body size (PALM2-AKAP2, NANS, TRAF7, and PACSIN1), adaptability (CLDN9 and E4F1), and appetite (GRM4) were identified. These findings can help to understand the genetic characteristics and provide insights into the molecular background of special phenotypes of DSE pigs to promote conservation and sustainability of the breed.
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Affiliation(s)
- Fen Wu
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Hao Sun
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Shaoxiong Lu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xiao Gou
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Dawei Yan
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Zhong Xu
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Zhenyang Zhang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Qamar Raza Qadri
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Zhe Zhang
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Zhen Wang
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Qiang Chen
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Mingli Li
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xiaoyi Wang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xinxing Dong
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Qishan Wang
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Yuchun Pan
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
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16
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Schiavo G, Bovo S, Tinarelli S, Gallo M, Dall'Olio S, Fontanesi L. Genome-wide association analyses for coat colour patterns in the autochthonous Nero Siciliano pig breed. Livest Sci 2020. [DOI: 10.1016/j.livsci.2020.104015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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17
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Moscatelli G, Bovo S, Schiavo G, Mazzoni G, Bertolini F, Dall'Olio S, Fontanesi L. Genome-wide association studies for iris pigmentation and heterochromia patterns in Large White pigs. Anim Genet 2020; 51:409-419. [PMID: 32232994 DOI: 10.1111/age.12930] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/06/2020] [Indexed: 01/13/2023]
Abstract
Eye colour genetics have been extensively studied in humans since the rediscovery of Mendel's laws. This trait was first interpreted using simplistic genetic models but soon it was realised that it is more complex. In this study, we analysed eye colour variability in a Large White pig population (n = 897) and report the results of GWASs based on several comparisons including pigs having four main eye colour categories (three with both pigmented eyes of different brown grades: pale, 17.9%; medium, 14.8%; and dark, 54.3%; another one with both eyes completely depigmented, 3.8%) and heterochromia patterns (heterochromia iridis - depigmented iris sectors in pigmented irises, 3.2%; heterochromia iridum - one whole eye iris of depigmented phenotype and the other eye with the iris completely pigmented, 5.9%). Pigs were genotyped with the Illumina PorcineSNP60 BeadChip and GEMMA was used for the association analyses. The results indicated that SLC45A2 (on chromosome 16, SSC16), EDNRB (SSC11) and KITLG (SSC5) affect the different grades of brown pigmentation of the eyes, the bilateral eye depigmentation defect and the heterochromia iridis defect recorded in this white pig population respectively. These genes are involved in several mechanisms affecting pigmentation. Significant associations for the eye depigmented patterns were also identified for SNPs on two SSC4 regions (including two candidate genes: NOTCH2 and PREX2) and on SSC6, SSC8 and SSC14 (including COL17A1 as candidate gene). This study provided useful information to understand eye pigmentation mechanisms, further valuing the pig as animal model to study complex phenotypes in humans.
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Affiliation(s)
- G Moscatelli
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
| | - S Bovo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
| | - G Schiavo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
| | - G Mazzoni
- Department of Health Technology, Technical University of Denmark, Lyngby, 2800, Denmark
| | - F Bertolini
- National Institute of Aquatic Resources, Technical University of Denmark, Lyngby, 2800, Denmark
| | - S Dall'Olio
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
| | - L Fontanesi
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
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18
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Ma C, Khederzadeh S, Adeola AC, Han XM, Xie HB, Zhang YP. Whole genome resequencing reveals an association of ABCC4 variants with preaxial polydactyly in pigs. BMC Genomics 2020; 21:268. [PMID: 32228435 PMCID: PMC7106734 DOI: 10.1186/s12864-020-6690-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 03/20/2020] [Indexed: 11/28/2022] Open
Abstract
Background Polydactyly is one of the most common congenital limb dysplasia in many animal species. Although preaxial polydactyly (PPD) has been comprehensively studied in humans as a common abnormality, the genetic variations in other animal species have not been fully understood. Herein, we focused on the pig, as an even-toed ungulate mammal model with its unique advantages in medical and genetic researches, two PPD families consisting of four affected and 20 normal individuals were sequenced. Results Our results showed that the PPD in the sampled pigs were not related to previously reported variants. A strong association was identified at ABCC4 and it encodes a transmembrane protein involved in ciliogenesis. We found that the affected and normal individuals were highly differentiated at ABCC4, and all the PPD individuals shared long haplotype stretches as compared with the unaffected individuals. A highly differentiated missense mutation (I85T) in ABCC4 was observed at a residue from a transmembrane domain highly conserved among a variety of organisms. Conclusions This study reports ABCC4 as a new candidate gene and identifies a missense mutation for PPD in pigs. Our results illustrate a putative role of ciliogenesis process in PPD, coinciding with an earlier observation of ciliogenesis abnormality resulting in pseudo-thumb development in pandas. These results expand our knowledge on the genetic variations underlying PPD in animals.
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Affiliation(s)
- Cheng Ma
- 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.,University of Chinese Academy of Sciences, Beijing, China
| | - Saber Khederzadeh
- 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.,University of Chinese Academy of Sciences, Beijing, 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
| | - Xu-Man Han
- 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
| | - Hai-Bing 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.
| | - 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.
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19
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Ma YF, Han XM, Huang CP, Zhong L, Adeola AC, Irwin DM, Xie HB, Zhang YP. Population Genomics Analysis Revealed Origin and High-altitude Adaptation of Tibetan Pigs. Sci Rep 2019; 9:11463. [PMID: 31391504 PMCID: PMC6685962 DOI: 10.1038/s41598-019-47711-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 06/05/2019] [Indexed: 12/03/2022] Open
Abstract
Tibetan pig is native to the Qinghai-Tibet Plateau and has adapted to the high-altitude environmental condition such as hypoxia. However, its origin and genetic mechanisms underlying high-altitude adaptation still remain controversial and enigmatic. Herein, we analyze 229 genomes of wild and domestic pigs from Eurasia, including 63 Tibetan pigs, and detect 49.6 million high-quality variants. Phylogenomic and structure analyses show that Tibetan pigs have a close relationship with low-land domestic pigs in China, implying a common domestication origin. Positively selected genes in Tibetan pigs involved in high-altitude physiology, such as hypoxia, cardiovascular systems, UV damage, DNA repair. Three of loci with strong signals of selection are associated with EPAS1, CYP4F2, and THSD7A genes, related to hypoxia and circulation. We validated four non-coding mutations nearby EPAS1 and CYP4F2 showing reduced transcriptional activity in Tibetan pigs. A high-frequency missense mutation is found in THSD7A (Lys561Arg) in Tibetan pigs. The selective sweeps in Tibetan pigs was found in association with selection against non-coding variants, indicating an important role of regulatory mutations in Tibetan pig evolution. This study is important in understanding the evolution of Tibetan pigs and advancing our knowledge on animal adaptation to high-altitude environments.
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Affiliation(s)
- Yun-Fei Ma
- State Key Laboratory of Genetic Resources and Evolution, and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xu-Man Han
- State Key Laboratory of Genetic Resources and Evolution, and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Cui-Ping Huang
- State Key Laboratory of Genetic Resources and Evolution, and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Li Zhong
- State Key Laboratory of Genetic Resources and Evolution, and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Laboratory for Conservation and Utilization of Bio-resource, and Key Laboratory for Animal Genetic Diversity and Evolution of High Education in Yunnan Province, Yunnan University, Kunming, 650091, China
| | - Adeniyi C Adeola
- State Key Laboratory of Genetic Resources and Evolution, and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - David M Irwin
- State Key Laboratory of Genetic Resources and Evolution, and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Ontario, M5S 1A8, Canada
| | - Hai-Bing Xie
- State Key Laboratory of Genetic Resources and Evolution, and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China. .,Laboratory for Conservation and Utilization of Bio-resource, and Key Laboratory for Animal Genetic Diversity and Evolution of High Education in Yunnan Province, Yunnan University, Kunming, 650091, China.
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20
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Bondurand N, Dufour S, Pingault V. News from the endothelin-3/EDNRB signaling pathway: Role during enteric nervous system development and involvement in neural crest-associated disorders. Dev Biol 2018; 444 Suppl 1:S156-S169. [PMID: 30171849 DOI: 10.1016/j.ydbio.2018.08.014] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 08/27/2018] [Accepted: 08/27/2018] [Indexed: 01/08/2023]
Abstract
The endothelin system is a vertebrate-specific innovation with important roles in regulating the cardiovascular system and renal and pulmonary processes, as well as the development of the vertebrate-specific neural crest cell population and its derivatives. This system is comprised of three structurally similar 21-amino acid peptides that bind and activate two G-protein coupled receptors. In 1994, knockouts of the Edn3 and Ednrb genes revealed their crucial function during development of the enteric nervous system and melanocytes, two neural-crest derivatives. Since then, human and mouse genetics, combined with cellular and developmental studies, have helped to unravel the role of this signaling pathway during development and adulthood. In this review, we will summarize the known functions of the EDN3/EDNRB pathway during neural crest development, with a specific focus on recent scientific advances, and the enteric nervous system in normal and pathological conditions.
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Affiliation(s)
- Nadege Bondurand
- Laboratory of Embryology and Genetics of Congenital Malformations, INSERM U1163, Institut Imagine, Paris, France; Paris Descartes-Sorbonne Paris Cité University, Institut Imagine, Paris, France.
| | - Sylvie Dufour
- INSERM, U955, Equipe 06, Créteil 94000, France; Université Paris Est, Faculté de Médecine, Créteil 94000, France
| | - Veronique Pingault
- Laboratory of Embryology and Genetics of Congenital Malformations, INSERM U1163, Institut Imagine, Paris, France; Paris Descartes-Sorbonne Paris Cité University, Institut Imagine, Paris, France; Service de Génétique Moléculaire, Hôpital Necker-Enfants Malades, Assistance Publique - Hôpitaux de Paris, Paris, France
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Wang C, Wang X, Tang J, Chen H, Zhang J, Li Y, Lei S, Ji H, Yang B, Ren J, Ding N. Genome-wide association studies for two exterior traits in Chinese Dongxiang spotted pigs. Anim Sci J 2018; 89:868-875. [DOI: 10.1111/asj.13003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 01/11/2018] [Indexed: 12/29/2022]
Affiliation(s)
- Chengbin Wang
- State Key Laboratory of Pig Genetic Improvement and Production Technology; Jiangxi Agricultural University; Nanchang China
| | - Xiaopeng Wang
- State Key Laboratory of Pig Genetic Improvement and Production Technology; Jiangxi Agricultural University; Nanchang China
| | - Jianhong Tang
- State Key Laboratory of Pig Genetic Improvement and Production Technology; Jiangxi Agricultural University; Nanchang China
| | - Hao Chen
- State Key Laboratory of Pig Genetic Improvement and Production Technology; Jiangxi Agricultural University; Nanchang China
| | - Junjie Zhang
- State Key Laboratory of Pig Genetic Improvement and Production Technology; Jiangxi Agricultural University; Nanchang China
| | - Yiping Li
- State Key Laboratory of Pig Genetic Improvement and Production Technology; Jiangxi Agricultural University; Nanchang China
| | - Shengrong Lei
- National Conservation Farm of Dongxiang Spotted Pigs; Dongxiang China
| | - Huayuan Ji
- Institute of Animal Husbandry and Veterinary; Jiangxi Academy of Agricultural Science; Nanchang China
| | - Bin Yang
- State Key Laboratory of Pig Genetic Improvement and Production Technology; Jiangxi Agricultural University; Nanchang China
| | - Jun Ren
- State Key Laboratory of Pig Genetic Improvement and Production Technology; Jiangxi Agricultural University; Nanchang China
| | - Nengshui Ding
- State Key Laboratory of Pig Genetic Improvement and Production Technology; Jiangxi Agricultural University; Nanchang China
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Song X, Xu C, Liu Z, Yue Z, Liu L, Yang T, Cong B, Yang F. Comparative Transcriptome Analysis of Mink (Neovison vison) Skin Reveals the Key Genes Involved in the Melanogenesis of Black and White Coat Colour. Sci Rep 2017; 7:12461. [PMID: 28963476 PMCID: PMC5622100 DOI: 10.1038/s41598-017-12754-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 09/14/2017] [Indexed: 11/24/2022] Open
Abstract
Farmed mink (Neovison vison) is one of the most important fur-bearing species worldwide, and coat colour is a crucial qualitative characteristic that contributes to the economic value of the fur. To identify additional genes that may play important roles in coat colour regulation, Illumina/Solexa high-throughput sequencing technology was used to catalogue the global gene expression profiles in mink skin with two different coat colours (black and white). RNA-seq analysis indicated that a total of 12,557 genes were differentially expressed in black versus white minks, with 3,530 genes up-regulated and 9,027 genes down-regulated in black minks. Significant differences were not observed in the expression of MC1R and TYR between the two different coat colours, and the expression of ASIP was not detected in the mink skin of either coat colour. The expression levels of KITLG, LEF1, DCT, TYRP1, PMEL, Myo5a, Rab27a and SLC7A11 were validated by qRT-PCR, and the results were consistent with RNA-seq analysis. This study provides several candidate genes that may be associated with the development of two coat colours in mink skin. These results will expand our understanding of the complex molecular mechanisms underlying skin physiology and melanogenesis in mink and will provide a foundation for future studies.
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Affiliation(s)
- Xingchao Song
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Chao Xu
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Zongyue Liu
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Zhigang Yue
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Linling Liu
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Tongao Yang
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Bo Cong
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Fuhe Yang
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
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