51
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Scanning of selection signature provides a glimpse into important economic traits in goats (Capra hircus). Sci Rep 2016; 6:36372. [PMID: 27796358 PMCID: PMC5087083 DOI: 10.1038/srep36372] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 10/14/2016] [Indexed: 01/29/2023] Open
Abstract
Goats (Capra hircus) are one of the oldest livestock domesticated species, and have been used for their milk, meat, hair and skins over much of the world. Detection of selection footprints in genomic regions can provide potential insights for understanding the genetic mechanism of specific phenotypic traits and better guide in animal breeding. The study presented here has generated 192.747G raw data and identified more than 5.03 million single-nucleotide polymorphisms (SNPs) and 334,151 Indels (insertions and deletions). In addition, we identified 155 and 294 candidate regions harboring 86 and 97 genes based on allele frequency differences in Dazu black goats (DBG) and Inner Mongolia cashmere goats (IMCG), respectively. Populations differentiation reflected by Fst values detected 368 putative selective sweep regions including 164 genes. The top 1% regions of both low heterozygosity and high genetic differentiation contained 239 (135 genes) and 176 (106 genes) candidate regions in DBG and IMCG, respectively. These genes were related to reproductive and productive traits, such as "neurohypophyseal hormone activity" and "adipocytokine signaling pathway". These findings may be conducive to molecular breeding and the long-term preservation of the valuable genetic resources for this species.
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52
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Guo X, Fang Q, Ma C, Zhou B, Wan Y, Jiang R. Whole-genome resequencing of Xishuangbanna fighting chicken to identify signatures of selection. Genet Sel Evol 2016; 48:62. [PMID: 27565441 PMCID: PMC5000499 DOI: 10.1186/s12711-016-0239-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Accepted: 08/05/2016] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Selective breeding for genetic improvement is expected to leave distinctive selection signatures within genomes. The identification of selection signatures can help to elucidate the mechanisms of selection and accelerate genetic improvement. Fighting chickens have undergone extensive artificial selection, resulting in modifications to their morphology, physiology and behavior compared to wild species. Comparing the genomes of fighting chickens and wild species offers a unique opportunity for identifying signatures of artificial selection. RESULTS We identified selection signals in 100-kb windows sliding in 10-kb steps by using two approaches: the pooled heterozygosity [Formula: see text] and the fixation index [Formula: see text] between Xishuangbanna fighting chicken (YNLC) and Red Jungle Fowl. A total of 413 candidate genes were found to be putatively under selection in YNLC. These genes were related to traits such as growth, disease resistance, aggressive behavior and energy metabolism, as well as the morphogenesis and homeostasis of many tissues and organs. CONCLUSIONS This study reveals mechanisms and targets of artificial selection, which will contribute to improve our knowledge about the evolution of fighting chickens and facilitate future quantitative trait loci mapping.
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Affiliation(s)
- Xing Guo
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036 People’s Republic of China
| | - Qi Fang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036 People’s Republic of China
| | - Chendong Ma
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036 People’s Republic of China
| | - Bangyuan Zhou
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036 People’s Republic of China
| | - Yi Wan
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036 People’s Republic of China
| | - Runshen Jiang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036 People’s Republic of China
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53
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Wang Z, Chen Q, Liao R, Zhang Z, Zhang X, Liu X, Zhu M, Zhang W, Xue M, Yang H, Zheng Y, Wang Q, Pan Y. Genome-wide genetic variation discovery in Chinese Taihu pig breeds using next generation sequencing. Anim Genet 2016; 48:38-47. [PMID: 27461929 PMCID: PMC5248613 DOI: 10.1111/age.12465] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/06/2016] [Indexed: 12/24/2022]
Abstract
The Chinese Taihu pig breeds are an invaluable component of the world's pig genetic resources, and they are the most prolific breeds of swine in the world. In this study, the genomes of 252 pigs of the six indigenous breeds in the Taihu Lake region were sequenced using the genotyping by genome reducing and sequencing approach. A total of 950 million good reads were obtained using an Illumina Hiseq2000 at an average depth of 13× (for SNP calling) and an average coverage of 2.3%. In total, 122 632 indels, 31 444 insertions, 44 056 deletions and 455 CNVs (copy number variants) were identified in the genomes of the pigs. Approximately 2.3% of these genetic markers were mapped to gene exon regions, and 25% were in QTL regions related to economically important traits. The KEGG pathway or GO enrichment analyses revealed that genetic variants assumed to be large‐effect mutations were significantly overrepresented in 22 SNP, 56 indel, 26 insertion, 28 deletion and three CNV gene sets. A total of 343 breed‐specific SNPs were also identified in the six Chinese indigenous pigs. The findings from this study can contribute to future investigations of the genetic diversity, population structure, positive selection signals and molecular evolutionary history of these pigs at the genome level and can serve as a valuable reference for improving the breeding and cultivation of these pigs.
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Affiliation(s)
- Z Wang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai, 200240, China
| | - Q Chen
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai, 200240, China
| | - R Liao
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai, 200240, China
| | - Z Zhang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai, 200240, China
| | - X Zhang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai, 200240, China
| | - X Liu
- Jiangshu Station of Animal Husbandry, Nanjing, 210036, China
| | - M Zhu
- Jiangshu Station of Animal Husbandry, Nanjing, 210036, China
| | - W Zhang
- Jiangshu Station of Animal Husbandry, Nanjing, 210036, China
| | - M Xue
- National Station of Animal Husbandry, Beijing, 100125, China
| | - H Yang
- National Station of Animal Husbandry, Beijing, 100125, China
| | - Y Zheng
- National Station of Animal Husbandry, Beijing, 100125, China
| | - Q Wang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai, 200240, China
| | - Y Pan
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai, 200240, China
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54
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Jeong H, Kim K, Caetano-Anollés K, Kim H, Kim BK, Yi JK, Ha JJ, Cho S, Oh DY. Whole genome sequencing of Gyeongbuk Araucana, a newly developed blue-egg laying chicken breed, reveals its origin and genetic characteristics. Sci Rep 2016; 6:26484. [PMID: 27215397 PMCID: PMC4877703 DOI: 10.1038/srep26484] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 05/03/2016] [Indexed: 01/15/2023] Open
Abstract
Chicken, Gallus gallus, is a valuable species both as a food source and as a model organism for scientific research. Here, we sequenced the genome of Gyeongbuk Araucana, a rare chicken breed with unique phenotypic characteristics including flight ability, large body size, and laying blue-shelled eggs, to identify its genomic features. We generated genomes of Gyeongbuk Araucana, Leghorn, and Korean Native Chicken at a total of 33.5, 35.82, and 33.23 coverage depth, respectively. Along with the genomes of 12 Chinese breeds, we identified genomic variants of 16.3 million SNVs and 2.3 million InDels in mapped regions. Additionally, through assembly of unmapped reads and selective sweep, we identified candidate genes that fall into heart, vasculature and muscle development and body growth categories, which provided insight into Gyeongbuk Araucana's phenotypic traits. Finally, genetic variation based on the transposable element insertion pattern was investigated to elucidate the features of transposable elements related to blue egg shell formation. This study presents results of the first genomic study on the Gyeongbuk Araucana breed; it has potential to serve as an invaluable resource for future research on the genomic characteristics of this chicken breed as well as others.
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Affiliation(s)
- Hyeonsoo Jeong
- Department of Animal Sciences, University of Illinois, Urbana, IL 61801, USA
| | - Kwondo Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Kwan-ak Gu, Seoul, South Korea 151-741, Republic of Korea
- C&K genomics, Main Bldg. #514, SNU Research Park, Seoul 151-919, Republic of Korea
| | - Kelsey Caetano-Anollés
- Department of Agricultural Biotechnology, Animal Biotechnology Major, and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea
| | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Kwan-ak Gu, Seoul, South Korea 151-741, Republic of Korea
- Department of Agricultural Biotechnology, Seoul National University, Kwan-ak St. 599, Kwan-ak Gu, Seoul 151-742, Republic of Korea
| | - Byung-ki Kim
- Gyeongsangbuk-do Livestock Research Institute, 186, Daeryongsan-ro, Anjung-myon, Yeoungju, Gyeongsangbuk-do, Republic of Korea
| | - Jun-Koo Yi
- Gyeongsangbuk-do Livestock Research Institute, 186, Daeryongsan-ro, Anjung-myon, Yeoungju, Gyeongsangbuk-do, Republic of Korea
| | - Jae-Jung Ha
- Gyeongsangbuk-do Livestock Research Institute, 186, Daeryongsan-ro, Anjung-myon, Yeoungju, Gyeongsangbuk-do, Republic of Korea
| | - Seoae Cho
- C&K genomics, Main Bldg. #514, SNU Research Park, Seoul 151-919, Republic of Korea
| | - Dong Yep Oh
- Gyeongsangbuk-do Livestock Research Institute, 186, Daeryongsan-ro, Anjung-myon, Yeoungju, Gyeongsangbuk-do, Republic of Korea
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55
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Groenen MAM. A decade of pig genome sequencing: a window on pig domestication and evolution. Genet Sel Evol 2016; 48:23. [PMID: 27025270 PMCID: PMC4812630 DOI: 10.1186/s12711-016-0204-2] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 03/16/2016] [Indexed: 12/02/2022] Open
Abstract
Insight into how genomes change and adapt due to selection addresses key questions in evolutionary biology and in domestication of animals and plants by humans. In that regard, the pig and its close relatives found in Africa and Eurasia represent an excellent group of species that enables studies of the effect of both natural and human-mediated selection on the genome. The recent completion of the draft genome sequence of a domestic pig and the development of next-generation sequencing technology during the past decade have created unprecedented possibilities to address these questions in great detail. In this paper, I review recent whole-genome sequencing studies in the pig and closely-related species that provide insight into the demography, admixture and selection of these species and, in particular, how domestication and subsequent selection of Sus scrofa have shaped the genomes of these animals.
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Affiliation(s)
- Martien A M Groenen
- Animal Breeding and Genomics Centre, Wageningen University, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands.
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56
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Revidatti MA, Delgado Bermejo JV, Gama LT, Landi Periati V, Ginja C, Alvarez LA, Vega-Pla JL, Martínez AM. Genetic characterization of local Criollo pig breeds from the Americas using microsatellite markers. J Anim Sci 2015; 92:4823-32. [PMID: 25349337 DOI: 10.2527/jas.2014-7848] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Little is known about local Criollo pig genetic resources and relationships among the various populations. In this paper, genetic diversity and relationships among 17 Criollo pig populations from 11 American countries were assessed with 24 microsatellite markers. Heterozygosities, F-statistics, and genetic distances were estimated, and multivariate, genetic structure and admixture analyses were performed. The overall means for genetic variability parameters based on the 24 microsatellite markers were the following: mean number of alleles per locus of 6.25 ± 2.3; effective number of alleles per locus of 3.33 ± 1.56; allelic richness per locus of 4.61 ± 1.37; expected and observed heterozygosity of 0.62 ± 0.04 and 0.57 ± 0.02, respectively; within-population inbreeding coefficient of 0.089; and proportion of genetic variability accounted for by differences among breeds of 0.11 ± 0.01. Genetic differences were not significantly associated with the geographical location to which breeds were assigned or their country of origin. Still, the NeighborNet dendrogram depicted the clustering by geographic origin of several South American breeds (Criollo Boliviano, Criollo of northeastern Argentina wet, and Criollo of northeastern Argentina dry), but some unexpected results were also observed, such as the grouping of breeds from countries as distant as El Salvador, Mexico, Ecuador, and Cuba. The results of genetic structure and admixture analyses indicated that the most likely number of ancestral populations was 11, and most breeds clustered separately when this was the number of predefined populations, with the exception of some closely related breeds that shared the same cluster and others that were admixed. These results indicate that Criollo pigs represent important reservoirs of pig genetic diversity useful for local development as well as for the pig industry.
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Affiliation(s)
- M A Revidatti
- Departamento de Producción Animal, Facultad de Ciencias Veterinarias, Universidad Nacional del Nordeste, 3400 Corrientes, Argentina
| | - J V Delgado Bermejo
- Departamento de Genética, Campus de Excelencia Internacional, Universidad de Córdoba, 14071 Córdoba, Spain
| | - L T Gama
- CIISA- Faculdade de Medicina Veterinária, Universidade de Lisboa, 1300-477 Lisboa, Portugal
| | - V Landi Periati
- Departamento de Genética, Campus de Excelencia Internacional, Universidad de Córdoba, 14071 Córdoba, Spain
| | - C Ginja
- Centro de Biologia Ambiental, Faculdade de Ciências da Universidade de Lisboa, 1749-016 Lisboa, Portugal The names and of scientists working with the BioPig Consortium are listed at http://biopig.jimdo.com/investigadores
| | - L A Alvarez
- Universidad Nacional de Colombia, Sede Palmira, CR 32 no. 12-00 Chapinero, Palmira, Valle del Cauca, Colombia. AA 237
| | - J L Vega-Pla
- Laboratorio de Investigación Aplicada, Cría Caballar de las Fuerzas Armadas, 14080 Córdoba, Spain
| | - A M Martínez
- Departamento de Genética, Campus de Excelencia Internacional, Universidad de Córdoba, 14071 Córdoba, Spain
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57
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Signatures of selection in tilapia revealed by whole genome resequencing. Sci Rep 2015; 5:14168. [PMID: 26373374 PMCID: PMC4570987 DOI: 10.1038/srep14168] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 08/18/2015] [Indexed: 02/06/2023] Open
Abstract
Natural selection and selective breeding for genetic improvement have left detectable signatures within the genome of a species. Identification of selection signatures is important in evolutionary biology and for detecting genes that facilitate to accelerate genetic improvement. However, selection signatures, including artificial selection and natural selection, have only been identified at the whole genome level in several genetically improved fish species. Tilapia is one of the most important genetically improved fish species in the world. Using next-generation sequencing, we sequenced the genomes of 47 tilapia individuals. We identified a total of 1.43 million high-quality SNPs and found that the LD block sizes ranged from 10–100 kb in tilapia. We detected over a hundred putative selective sweep regions in each line of tilapia. Most selection signatures were located in non-coding regions of the tilapia genome. The Wnt signaling, gonadotropin-releasing hormone receptor and integrin signaling pathways were under positive selection in all improved tilapia lines. Our study provides a genome-wide map of genetic variation and selection footprints in tilapia, which could be important for genetic studies and accelerating genetic improvement of tilapia.
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58
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Choi JW, Chung WH, Lee KT, Cho ES, Lee SW, Choi BH, Lee SH, Lim W, Lim D, Lee YG, Hong JK, Kim DW, Jeon HJ, Kim J, Kim N, Kim TH. Whole-genome resequencing analyses of five pig breeds, including Korean wild and native, and three European origin breeds. DNA Res 2015; 22:259-67. [PMID: 26117497 PMCID: PMC4535618 DOI: 10.1093/dnares/dsv011] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 05/27/2015] [Indexed: 12/30/2022] Open
Abstract
Pigs have been one of the most important sources of meat for humans, and their productivity has been substantially improved by recent strong selection. Here, we present whole-genome resequencing analyses of 55 pigs of five breeds representing Korean native pigs, wild boar and three European origin breeds. 1,673.1 Gb of sequence reads were mapped to the Swine reference assembly, covering ∼99.2% of the reference genome, at an average of ∼11.7-fold coverage. We detected 20,123,573 single-nucleotide polymorphisms (SNPs), of which 25.5% were novel. We extracted 35,458 of non-synonymous SNPs in 9,904 genes, which may contribute to traits of interest. The whole SNP sets were further used to access the population structures of the breeds, using multiple methodologies, including phylogenetic, similarity matrix, and population structure analysis. They showed clear population clusters with respect to each breed. Furthermore, we scanned the whole genomes to identify signatures of selection throughout the genome. The result revealed several promising loci that might underlie economically important traits in pigs, such as the CLDN1 and TWIST1 genes. These discoveries provide useful genomic information for further study of the discrete genetic mechanisms associated with economically important traits in pigs.
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Affiliation(s)
- Jung-Woo Choi
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea
| | - Won-Hyong Chung
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea
| | - Kyung-Tai Lee
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea
| | - Eun-Seok Cho
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea
| | - Si-Woo Lee
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea
| | - Bong-Hwan Choi
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea
| | - Sang-Heon Lee
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea Department of Bioinformatics, Korea University of Science and Technology, Daejeon 305-806, Republic of Korea
| | - Wonjun Lim
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea Department of Bioinformatics, Korea University of Science and Technology, Daejeon 305-806, Republic of Korea
| | - Dajeong Lim
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea
| | - Yun-Gyeong Lee
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea Department of Bioinformatics, Korea University of Science and Technology, Daejeon 305-806, Republic of Korea
| | - Joon-Ki Hong
- Swine Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Republic of Korea
| | - Doo-Wan Kim
- Swine Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Republic of Korea
| | - Hyeon-Jeong Jeon
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea
| | - Jiwoong Kim
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea
| | - Namshin Kim
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea Department of Bioinformatics, Korea University of Science and Technology, Daejeon 305-806, Republic of Korea
| | - Tae-Hun Kim
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea
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Dynamic transcriptome profiles of skeletal muscle tissue across 11 developmental stages for both Tongcheng and Yorkshire pigs. BMC Genomics 2015; 16:377. [PMID: 25962502 PMCID: PMC4437458 DOI: 10.1186/s12864-015-1580-7] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Accepted: 04/24/2015] [Indexed: 12/18/2022] Open
Abstract
Background The growth and development of skeletal muscle directly impacts the quantity and quality of pork production. Chinese indigenous pig breeds and exotic species vary greatly in terms of muscle production and performance traits. We present transcriptome profiles of 110 skeletal muscle samples from Tongcheng (TC) and Yorkshire (YK) pigs at 11 developmental periods (30, 40, 55, 63, 70, 90, and 105 days of gestation, and 0, 1, 3, and 5 weeks of age) using digital gene expression on Solexa/Illumina’s Genome Analyzer platform to investigate the differences in prenatal and postnatal skeletal muscle between the two breeds. Results Muscle morphological changes indicate the importance of primary fiber formation from 30 to 40 dpc (days post coitus), and secondary fiber formation from 55 to 70 dpc. We screened 4,331 differentially expressed genes in TC and 2,259 in YK (log2 ratio >1 and probability >0.7). Cluster analysis showed different gene expression patterns between TC and YK pigs. The transcripts were annotated in terms of Gene Ontology related to muscle development. We found that the genes CXCL10, EIF2B5, PSMA6, FBXO32, and LOC100622249 played vital roles in the muscle regulatory networks in the TC breed, whereas the genes SGCD, ENG, THBD, AQP4, and BTG2 played dominant roles in the YK breed. These genes showed breed-specific and development-dependent differential expression patterns. Furthermore, 984 genes were identified in myogenesis. A heat map showed that significantly enriched pathways (FDR <0.05) had stage-specific functional regulatory mechanisms. Finally, the differentially expressed genes from our sequencing results were confirmed by real-time quantitative polymerase chain reaction. Conclusions This study detected many functional genes and showed differences in the molecular mechanisms of skeletal muscle development between TC and YK pigs. TC pigs showed slower muscle growth and more complicated genetic regulation than YK pigs. Many differentially expressed genes showed breed-specific expression patterns. Our data provide a better understanding of skeletal muscle developmental differences and valuable information for improving pork quality. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1580-7) contains supplementary material, which is available to authorized users.
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60
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Reduced Representation Libraries from DNA Pools Analysed with Next Generation Semiconductor Based-Sequencing to Identify SNPs in Extreme and Divergent Pigs for Back Fat Thickness. Int J Genomics 2015; 2015:950737. [PMID: 25821781 PMCID: PMC4364060 DOI: 10.1155/2015/950737] [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: 11/18/2014] [Accepted: 02/10/2015] [Indexed: 11/18/2022] Open
Abstract
The aim of this study was to identify single nucleotide polymorphisms (SNPs) that could be associated with back fat thickness (BFT) in pigs. To achieve this goal, we evaluated the potential and limits of an experimental design that combined several methodologies. DNA samples from two groups of Italian Large White pigs with divergent estimating breeding value (EBV) for BFT were separately pooled and sequenced, after preparation of reduced representation libraries (RRLs), on the Ion Torrent technology. Taking advantage from SNAPE for SNPs calling in sequenced DNA pools, 39,165 SNPs were identified; 1/4 of them were novel variants not reported in dbSNP. Combining sequencing data with Illumina PorcineSNP60 BeadChip genotyping results on the same animals, 661 genomic positions overlapped with a good approximation of minor allele frequency estimation. A total of 54 SNPs showing enriched alleles in one or in the other RRLs might be potential markers associated with BFT. Some of these SNPs were close to genes involved in obesity related phenotypes.
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61
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Kim J, Cho S, Caetano-Anolles K, Kim H, Ryu YC. Genome-wide detection and characterization of positive selection in Korean Native Black Pig from Jeju Island. BMC Genet 2015; 16:3. [PMID: 25634476 PMCID: PMC4314801 DOI: 10.1186/s12863-014-0160-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Accepted: 12/30/2014] [Indexed: 01/01/2023] Open
Abstract
Background In the 1980s, Korean native black pigs from Jeju Island (Jeju black pigs) served as representative sample of Korean native black pigs, and efforts were made to help the species rebound from the brink of extinction, which occurred as a result of the introduction of Western pig breeds. Geographical separation of Jeju Island from the Korean peninsula has allowed Jeju black pigs not only to acquire unique characteristics but also to retain merits of rare Korean native black pigs. Results To further analyze the Jeju black pig genome, we performed whole-genome re-sequencing (average read depth of 14×) of 8 Jeju black pig and 6 Korean pigs (which live on the Korean peninsula) to compare and identify putative signatures of positive selection in Jeju black pig, the true and pure Korean native black pigs. The candidate genes potentially under positive selection in Jeju black pig support previous reports of high marbling score, rare occurrence of pale, soft, exudative (PSE) meat, but low growth rate and carcass weight compared to Western breeds. Conclusions Several candidate genes potentially under positive selection were involved in fatty acid transport and may have contributed to the unique characteristics of meat quality in JBP. Jeju black pigs can offer a unique opportunity to investigate the true genetic resource of once endangered Korean native black pigs. Further genome-wide analyses of Jeju black pigs on a larger population scale are required in order to define a conservation strategy and improvement of native pig resources. Electronic supplementary material The online version of this article (doi:10.1186/s12863-014-0160-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jaemin Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 151-742, Korea.
| | - Seoae Cho
- CHO&KIM genomics, Main Bldg. #514, SNU Research Park, Seoul National University Mt.4-2, NakSeoungDae, Gwanakgu, Seoul, 151-919, Republic of Korea.
| | | | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 151-742, Korea. .,CHO&KIM genomics, Main Bldg. #514, SNU Research Park, Seoul National University Mt.4-2, NakSeoungDae, Gwanakgu, Seoul, 151-919, Republic of Korea. .,Department of Agricultural Biotechnology and Research Institute of Population Genomics, Seoul National University, Seoul, 151-742, Republic of Korea.
| | - Youn-Chul Ryu
- Division of Biotechnology, The Research Institute for Subtropical Agriculture and Biotechnology, Jeju National University, Jeju, 690-756, Republic of Korea.
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Chen L, Jin L, Li M, Tian S, Che T, Tang Q, Lan J, Jiang Z, Li R, Gu Y, Li X, Wang J. Snapshot of structural variations in the Tibetan wild boar genome at single-nucleotide resolution. J Genet Genomics 2014; 41:653-7. [PMID: 25527106 DOI: 10.1016/j.jgg.2014.10.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Revised: 10/07/2014] [Accepted: 10/11/2014] [Indexed: 01/28/2023]
Affiliation(s)
- Lei Chen
- Chongqing Academy of Animal Sciences, Rongchang, Chongqing 402460, China; Key Laboratory of Pig Industry Sciences, Ministry of Agriculture, Rongchang, Chongqing 402460, China
| | - Long Jin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Ya'an, Sichuan 625014, China
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Ya'an, Sichuan 625014, China.
| | - Shilin Tian
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Tiandong Che
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Ya'an, Sichuan 625014, China
| | - Qianzi Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Ya'an, Sichuan 625014, China
| | - Jing Lan
- Chongqing Academy of Animal Sciences, Rongchang, Chongqing 402460, China; Key Laboratory of Pig Industry Sciences, Ministry of Agriculture, Rongchang, Chongqing 402460, China
| | - Zhi Jiang
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Ruiqiang Li
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Yiren Gu
- Sichuan Animal Science Academy, Chengdu 610066, China
| | - Xuewei Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Ya'an, Sichuan 625014, China
| | - Jinyong Wang
- Chongqing Academy of Animal Sciences, Rongchang, Chongqing 402460, China; Key Laboratory of Pig Industry Sciences, Ministry of Agriculture, Rongchang, Chongqing 402460, China.
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Wang Z, Chen Q, Yang Y, Yang H, He P, Zhang Z, Chen Z, Liao R, Tu Y, Zhang X, Wang Q, Pan Y. A genome-wide scan for selection signatures in Yorkshire and Landrace pigs based on sequencing data. Anim Genet 2014; 45:808-16. [PMID: 25327778 PMCID: PMC4276287 DOI: 10.1111/age.12229] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2014] [Indexed: 01/12/2023]
Abstract
Pigs have experienced dramatic selection due to domestication, which has led to many different phenotypes when compared to their wild counterparts, especially in the last several decades. Currently, genome-wide scans in both cattle and humans showing positive selection footprints have been investigated. However, few studies have focused on porcine selection footprints, particularly on a genome-wide scale. Surveying for selection footprints across porcine genomes can be quite valuable for revealing the genetic mechanisms of phenotypic diversity. Here, we employed a medium sequencing depth (5–20x/site per individual, on average) approach called genotyping by genome reducing and sequencing (GGRS) to detect genome-wide selection signatures of two domestic pig breeds (Yorkshire and Landrace) that have been under intensive selection for traits of muscle development, growth and behavior. The relative extended haplotype homozygosity test, which identifies selection signatures by measuring the characteristics of haplotypes’ frequency distribution within a single population, was also applied to identify potential positively selected regions. As a result, signatures of positive selection were found in each breed. However, most selection signatures were population specific and related to genomic regions containing genes for biological categories including brain development, metabolism, growth and olfaction. Furthermore, the result of the gene set enrichment analysis indicated that selected regions of the two breeds presented a different over-representation of genes in the Gene Ontology annotations and Kyoto Encyclopedia of Genes and Genomes pathways. Our results revealed a genome-wide map of selection footprints in pigs and may help us better understand the mechanisms of selection in pig breeding.
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Affiliation(s)
- Zhen Wang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China; Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai, 200240, China
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