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Jung JH, Lee SM, Oh SH. A genome-wide association study on growth traits of Korean commercial pig breeds using Bayesian methods. Anim Biosci 2024; 37:807-816. [PMID: 38637973 PMCID: PMC11065719 DOI: 10.5713/ab.23.0443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/01/2023] [Accepted: 03/19/2024] [Indexed: 04/20/2024] Open
Abstract
OBJECTIVE This study aims to identify the significant regions and candidate genes of growth-related traits (adjusted backfat thickness [ABF], average daily gain [ADG], and days to 90 kg [DAYS90]) in Korean commercial GGP pig (Duroc, Landrace, and Yorkshire) populations. METHODS A genome-wide association study (GWAS) was performed using single-nucleotide polymorphism (SNP) markers for imputation to Illumina PorcineSNP60. The BayesB method was applied to calculate thresholds for the significance of SNP markers. The identified windows were considered significant if they explained ≥1% genetic variance. RESULTS A total of 28 window regions were related to genetic growth effects. Bayesian GWAS revealed 28 significant genetic regions including 52 informative SNPs associated with growth traits (ABF, ADG, DAYS90) in Duroc, Landrace, and Yorkshire pigs, with genetic variance ranging from 1.00% to 5.46%. Additionally, 14 candidate genes with previous functional validation were identified for these traits. CONCLUSION The identified SNPs within these regions hold potential value for future markerassisted or genomic selection in pig breeding programs. Consequently, they contribute to an improved understanding of genetic architecture and our ability to genetically enhance pigs. SNPs within the identified regions could prove valuable for future marker-assisted or genomic selection in pig breeding programs.
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Affiliation(s)
| | - Sang Min Lee
- National Institute of Animal Science, RDA, Cheonan, 31000,
Korea
| | - Sang-Hyon Oh
- Division of Animal Science, Gyeongsang National University, Jinju 52725,
Korea
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Liu S, Su J, Yang Q, Sun M, Wang Z, Yu J, Jafari H, Lei C, Sun Y, Dang R. Genome-wide analyses based on a novel donkey 40K liquid chip reveal the gene responsible for coat color diversity in Chinese Dezhou donkey. Anim Genet 2024; 55:140-146. [PMID: 37994172 DOI: 10.1111/age.13379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/28/2023] [Accepted: 11/10/2023] [Indexed: 11/24/2023]
Abstract
Dezhou donkey is one of the representative local breeds in China, which is mainly divided into two strains: Sanfen and Wutou. There are obvious differences in coat color between the two strains. The former shows light points around the eyes, around the muzzle and under the belly, while the latter is completely solid black. In this study, genome-wide association analysis was performed for the differences in coat color traits between the Sanfen (n = 97) and Wutou (n = 108) strains using a novel donkey 40K liquid chip developed based on GenoBaits technology, to identify genomic regions and causal genes that could explain this variation. We also used FST and The cross-population composite likelihood ratio test (XPCLR) analyses to explore selected regions related to coat color differences. We identified one significant region on chromosome 15, with the most significant SNP located within the agouti signaling protein (ASIP) gene. At the same time, both FST and XPCLR methods detected the same selected region on chromosome 15, and ASIP was the gene with the strongest signal. ASIP and melanocortin 1 receptor (MC1R) control the ratio of eumelanin to pheomelanin through their protein activity. They are deeply involved in the process of melanosome organation and melanogenesis, thus affecting mammals' coat color variation. We used a range of genome-wide approach to identify the genetic basis of coat color variation in Dezhou donkeys. The results provide a supplement to the color variation study in Chinese donkeys at the genome-wide level, and preliminarily verified the reliability of the Molbreeding Donkey No. 1 40K liquid chip.
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Affiliation(s)
- Shuqin Liu
- College of Animal Science and Technology, Qingdao Agricultural University, Qingdao, China
| | - Jiangtian Su
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Qiwen Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Minhao Sun
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Zhaofei Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Jie Yu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Halima Jafari
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Yujiang Sun
- College of Animal Science and Technology, Qingdao Agricultural University, Qingdao, China
| | - Ruihua Dang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
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Zhang Y, Lai J, Wang X, Li M, Zhang Y, Ji C, Chen Q, Lu S. Genome-wide single nucleotide polymorphism (SNP) data reveal potential candidate genes for litter traits in a Yorkshire pig population. Arch Anim Breed 2023; 66:357-368. [PMID: 38111388 PMCID: PMC10726026 DOI: 10.5194/aab-66-357-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 10/10/2023] [Indexed: 12/20/2023] Open
Abstract
The litter trait is one of the most important economic traits, and increasing litter size is of great economic value in the pig industry. However, the molecular mechanisms underlying pig litter traits remain elusive. To identify molecular markers and candidate genes for pig litter traits, a genome-wide association study (GWAS) and selection signature analysis were conducted in a Yorkshire pig population. A total of 518 producing sows were genotyped with Illumina Porcine SNP 50 BeadChip, and 1969 farrowing records for the total number born (TNB), the number born alive (NBA), piglets born dead (PBD), and litter weight born alive (LWB) were collected. Then, a GWAS was performed for the four litter traits using a repeatability model. Based on the estimated breeding values (EBVs) of TNB, 15 high- and 15 low-prolificacy individuals were selected from the 518 sows to implement selection signature analysis. Subsequently, the selection signatures affecting the litter traits of sows were detected by using two methods including the fixation index (FST) and θ π . Combining the results of the GWAS and selection signature analysis, 20 promising candidate genes (NKAIN2, IGF1R, KISS1R, TYRO3, SPINT1, ADGRF5, APC2, PTBP1, CLCN3, CBR4, HPF1, FAM174A, SCP2, CLIC1, ZFYVE9, SPATA33, KIF5C, EPC2, GABRA2, and GABRA4) were identified. These findings provide novel insights into the genetic basis of pig litter traits and will be helpful for improving the reproductive performances of sows in pig breeding.
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Affiliation(s)
- Yu Zhang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, China
| | - Jinhua Lai
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, China
| | - Xiaoyi Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, China
| | - Mingli Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, China
| | - Yanlin Zhang
- Yunnan Fuyuefa Livestock and Poultry Feeding Company Limited, Kunming, 650300, China
| | - Chunlv Ji
- Yunnan Fuyuefa Livestock and Poultry Feeding Company Limited, Kunming, 650300, China
| | - Qiang Chen
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, China
| | - Shaoxiong Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, China
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4
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Bordonaro S, Chessari G, Mastrangelo S, Senczuk G, Chessa S, Castiglioni B, Tumino S, Marletta D, Criscione A. Genome-wide population structure, homozygosity, and heterozygosity patterns of Nero Siciliano pig in the framework of Italian and cosmopolitan breeds. Anim Genet 2023; 54:591-605. [PMID: 37381662 DOI: 10.1111/age.13344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 06/13/2023] [Accepted: 06/15/2023] [Indexed: 06/30/2023]
Abstract
Analysis of genomic data is becoming more and more common for the effective management of livestock breeding programmes, even in the case of local populations. In this work, the genome-wide data of Nero Siciliano pig breed were compared to that of wild boar, Italian local and cosmopolitan breeds to investigate its genetic structure, and runs of homozygosity (ROH) and heterozygosity patterns. The Nero Siciliano has been reported to have the highest rate of genetic diversity among the Italian breeds, and a genetic variability comparable to that of the cosmopolitan breeds. Analyses of genomic structure and relationships underlined its proximity to wild boar, and an internal substructure probably linked to different family lines. The breed showed a low value of inbreeding estimated from ROH, and the highest diversity index among the Italian breeds, even if lower than that of the cosmopolitans. Four ROH islands in three chromosomes (SSC8, SSC11, and SSC14) and one heterozygosity-rich region (SSC1) were identified in Nero Siciliano, highlighting genomic regions related to productive QTL. Across breeds, SSC8 and SSC14 were the chromosomes with most ROH islands, with Mora Romagnola and wild boar showing the highest level of autozygosity. Chromosomes SSC2, SSC6, SSC8 and SSC13 showed the majority of runs of heterozygosity regions, mainly found in the cosmopolitan pig breeds, which reported several genes associated with health-related QTL. The outlined results can help to better identify the genomic profile of this local breed in order to plan matings, maintain adequate internal diversity and exploit the production system.
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Affiliation(s)
- Salvatore Bordonaro
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Giorgio Chessari
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Salvatore Mastrangelo
- Dipartimento Scienze Agrarie, Alimentari e Forestali, Università di Palermo, Palermo, Italy
| | - Gabriele Senczuk
- Dipartimento di Agricoltura, Ambiente e Alimenti, Università del Molise, Campobasso, Italy
| | - Stefania Chessa
- Dipartimento di Scienze Veterinarie, Università di Torino, Torino, Italy
| | - Bianca Castiglioni
- Istituto di Biologia e Biotecnologia Agraria, National Research Council, Lodi, Italy
| | - Serena Tumino
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Donata Marletta
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Andrea Criscione
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
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Floridia V, Giuffrè L, Giosa D, Arfuso F, Aragona F, Fazio F, Chen C, Song C, Romeo O, D'Alessandro E. Comparison of the Faecal Microbiota Composition Following a Dairy By-Product Supplemented Diet in Nero Siciliano and Large White × Landrace Pig Breeds. Animals (Basel) 2023; 13:2323. [PMID: 37508100 PMCID: PMC10376647 DOI: 10.3390/ani13142323] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 07/11/2023] [Accepted: 07/14/2023] [Indexed: 07/30/2023] Open
Abstract
The current study compared the faecal microbiota composition of two pig breeds (autochthonous vs. commercial) to understand what happens after the integration of liquid whey in the diet and what the role of the host genetic is. The trial was conducted for 60 days, and the faecal microbiota composition was investigated at three time points, T0, T1 (after 30 days) and T2 (after 60 days) in 30 female pigs (20 commercial crossbred and 10 Nero Siciliano pigs). The animals were divided into four groups (two control and two treatment groups). Generally, in both breeds, Firmicutes (51%) and Bacteroidota (36%) were the most abundant phylum whereas Prevotella, Treponema and Lactobacillus were the most abundant genera. The two breeds have a different reaction to a liquid whey diet. In fact, as shown by PERMANOVA analysis, the liquid whey significantly (p < 0.001) affects the microbiota composition of crossbreeds while not having an effect on the microbiota of the Nero Siciliano. Despite this, in both breeds Bifidobacterium and Ruminococcus have been positively influenced by liquid whey and they promote intestinal health, improve immunity, increase performance, and feed efficiency. In conclusion, the integration of liquid whey had a different effect on the Nero Siciliano and crossbred pig breeds, emphasizing the importance of the host genetic profile in determining the faecal bacterial composition.
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Affiliation(s)
- Viviana Floridia
- Animal Production Unit, Department of Veterinary Sciences, University of Messina, Viale Palatucci 13, 98168 Messina, Italy
| | - Letterio Giuffrè
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno D'Alcontres 31, 98166 Messina, Italy
| | - Domenico Giosa
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno D'Alcontres 31, 98166 Messina, Italy
| | - Francesca Arfuso
- Animal Production Unit, Department of Veterinary Sciences, University of Messina, Viale Palatucci 13, 98168 Messina, Italy
| | - Francesca Aragona
- Animal Production Unit, Department of Veterinary Sciences, University of Messina, Viale Palatucci 13, 98168 Messina, Italy
| | - Francesco Fazio
- Animal Production Unit, Department of Veterinary Sciences, University of Messina, Viale Palatucci 13, 98168 Messina, Italy
| | - Cai Chen
- College of Animal Science & Technology, Yangzhou University, Yangzhou 225009, China
| | - Chengy Song
- College of Animal Science & Technology, Yangzhou University, Yangzhou 225009, China
| | - Orazio Romeo
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno D'Alcontres 31, 98166 Messina, Italy
| | - Enrico D'Alessandro
- Animal Production Unit, Department of Veterinary Sciences, University of Messina, Viale Palatucci 13, 98168 Messina, Italy
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Characterization of the Nero Siciliano Pig Fecal Microbiota after a Liquid Whey-Supplemented Diet. Animals (Basel) 2023; 13:ani13040642. [PMID: 36830429 PMCID: PMC9951753 DOI: 10.3390/ani13040642] [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: 01/04/2023] [Revised: 01/31/2023] [Accepted: 02/08/2023] [Indexed: 02/15/2023] Open
Abstract
The utilization of dairy by-products as animal feed, especially in swine production, is a strategy to provide functional ingredients to improve gut health. This study explored the potential effect of a liquid whey-supplemented diet on the fecal microbiota of eleven pigs belonging to the Nero Siciliano breed. Five pigs were assigned to the control group and fed with a standard formulation feed, whereas six pigs were assigned to the experimental group and fed with the same feed supplemented with liquid whey. Fecal samples were collected from each individual before the experimental diet (T0), and one (T1) and two (T2) months after the beginning of the co-feed supplementation. Taxonomic analysis, based on the V3-V4 region of the bacterial 16S rRNA, showed that pig feces were populated by a complex microbial community with a remarkable abundance of Firmicutes, Bacteroidetes, and Spirochaetes phyla and Prevotella, Lactobacillus, Clostridium, and Treponema genera. Alpha and beta diversity values suggested that the experimental diet did not significantly affect the overall fecal microbiota diversity. However, analysis of abundance at different time points revealed significant variation in several bacterial genera, suggesting that the experimental diet potentially affected some genera of the microbial community.
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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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D'Alessandro E, Arfuso F, Floridia V, Tardiolo G, Fazio F, Giannetto C, Piccione G, Zumbo A. Different genotype and a liquid whey-supplemented diet influence the resilience of pigs through immune-modulation and anti-inflammatory response. Front Vet Sci 2022; 9:1046101. [PMID: 36439344 PMCID: PMC9683634 DOI: 10.3389/fvets.2022.1046101] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/13/2022] [Indexed: 07/30/2023] Open
Abstract
This study evaluated (i) whether weight gain and levels of inflammatory and immune markers including white blood cells (WBC), serum haptoglobin, C-reactive protein, albumin, and globulin fractions change between the Nero Siciliano pig breed and the crossbreed Landrace x Large White (LxLW) reared under the same environmental and farming conditions; and (ii) whether a liquid whey diet supplementation affects the investigated parameters in both genotypes. In this study, 10 crossbreed LxLW and 10 Nero Siciliano pigs were given control feed, representing the control groups (CTRC and CTRNS), whereas 10 crossbreed LxLW and 10 Nero Siciliano pigs were given control feed supplemented with liquid whey for 2 months, representing the experimental groups (WC and WNS). From each pig, body weight and blood were collected before experimental diet supplementation (T0), and one (T1) and two (T2) months after the start of the diet supplemented with whey. The white blood cell count (WBC), serum haptoglobin, C-reactive protein, total proteins, albumin and globulin fraction concentration were assessed. Two-way analysis of variance showed an increasing trend of body weight both in the control and experimental groups of the two pig genotypes throughout the monitoring period (p < 0.01) without a significant effect of genotype and diet (p > 0.05). The concentration of haptoglobin, β1- and β2-globulins was affected by pig genotype, diet supplementation, and time (p < 0.01). The values of WBC, C-reactive protein, albumin, α-globulins, and A/G ratio were affected by diet supplementation (p < 0.01) and time (p < 0.01) without an influence of genotype (p > 0.05). Nero Siciliano pigs showed lower levels of haptoglobin, β1-globulin, and β2-globulin compared to crossbreed LxLW. Nero Siciliano pigs and crossbred LxLW fed with liquid whey showed lower levels of WBC, haptoglobin, C-reactive protein, α-, β1-, and β2-globulins and higher values of albumin compared to control groups. The results reinforced the hypothesis that autochthonous breeds possess higher resilience to farming conditions when compared to allochthonous breeds. Moreover, an immune-modulatory and an anti-inflammatory power of liquid whey dietary supplementation is suggested probably thanks to its content in natural bioactive substances including anti-inflammatory cytokines and anti-oxidative factors.
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Shen Q, Zhou J, Li J, Zhao X, Zheng L, Bao H, Wu C. Genome-Wide Association Study Identifies Candidate Genes for Stripe Pattern Feather Color of Rhode Island Red Chicks. Genes (Basel) 2022; 13:genes13091511. [PMID: 36140679 PMCID: PMC9498448 DOI: 10.3390/genes13091511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/17/2022] [Accepted: 08/20/2022] [Indexed: 11/17/2022] Open
Abstract
Feather colors of chickens are not only characteristics of breeds but also as phenotypic markers in chicken breeding. Pure-bred Rhode Island Red (RIR) chicks have a stripe pattern and a non-stripe pattern on the back. The stripe pattern of RIR is generally shown as four longitudinal black stripes on the back and is more likely to appear in females. In this study, we performed a genome-wide association study (GWAS) to identify candidate genes controlling the stripe pattern of RIR chicks, and then, based on physical location and biological functions, quantitative RT-PCR analysis was used to validate the differential expression of candidate genes between stripe pattern and non-stripe pattern back skin tissue. The GWAS showed that a major signal contains 768 significant single nucleotide polymorphisms (SNPs) and 87 significant small insertions-deletions (INDELs) spanning 41.78 to 43.05 Mb (~1.27 Mb) on GGA1, corresponding to 16 genes associated with stripe pattern phenotype. Among these 16 genes, KITLG and TMTC3 could be considered candidate genes as they showed different expressions between back skin tissues of stripe pattern and non-stripe pattern chicks in value (p = 0.062) and the significant level (p < 0.05), respectively. This study provided novel insight into the mechanisms underlying feather pigmentation and stripe formation in RIR chicks.
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Affiliation(s)
- Qingmiao Shen
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jieke Zhou
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Junying Li
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaoyu Zhao
- Dawu Breeding Company, Baoding 072550, China
| | - Lijie Zheng
- Dawu Breeding Company, Baoding 072550, China
| | - Haigang Bao
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
- Correspondence:
| | - Changxin Wu
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
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Berghöfer J, Khaveh N, Mundlos S, Metzger J. Simultaneous testing of rule- and model-based approaches for runs of homozygosity detection opens up a window into genomic footprints of selection in pigs. BMC Genomics 2022; 23:564. [PMID: 35933356 PMCID: PMC9357325 DOI: 10.1186/s12864-022-08801-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Past selection events left footprints in the genome of domestic animals, which can be traced back by stretches of homozygous genotypes, designated as runs of homozygosity (ROHs). The analysis of common ROH regions within groups or populations displaying potential signatures of selection requires high-quality SNP data as well as carefully adjusted ROH-defining parameters. In this study, we used a simultaneous testing of rule- and model-based approaches to perform strategic ROH calling in genomic data from different pig populations to detect genomic regions under selection for specific phenotypes. RESULTS Our ROH analysis using a rule-based approach offered by PLINK, as well as a model-based approach run by RZooRoH demonstrated a high efficiency of both methods. It underlined the importance of providing a high-quality SNP set as input as well as adjusting parameters based on dataset and population for ROH calling. Particularly, ROHs ≤ 20 kb were called in a high frequency by both tools, but to some extent covered different gene sets in subsequent analysis of ROH regions common for investigated pig groups. Phenotype associated ROH analysis resulted in regions under potential selection characterizing heritage pig breeds, known to harbour a long-established breeding history. In particular, the selection focus on fitness-related traits was underlined by various ROHs harbouring disease resistance or tolerance-associated genes. Moreover, we identified potential selection signatures associated with ear morphology, which confirmed known candidate genes as well as uncovered a missense mutation in the ABCA6 gene potentially supporting ear cartilage formation. CONCLUSIONS The results of this study highlight the strengths and unique features of rule- and model-based approaches as well as demonstrate their potential for ROH analysis in animal populations. We provide a workflow for ROH detection, evaluating the major steps from filtering for high-quality SNP sets to intersecting ROH regions. Formula-based estimations defining ROHs for rule-based method show its limits, particularly for efficient detection of smaller ROHs. Moreover, we emphasize the role of ROH detection for the identification of potential footprints of selection in pigs, displaying their breed-specific characteristics or favourable phenotypes.
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Affiliation(s)
- Jan Berghöfer
- Research Group Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Department of Biology, Chemistry and Pharmacy, Institute of Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany
| | - Nadia Khaveh
- Research Group Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Stefan Mundlos
- Research Group Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Institute of Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Charité-Universitätsmedizin Berlin, BCRT, Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Julia Metzger
- Research Group Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany. .,Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Hannover, Germany.
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Tao L, Wang X, Zhong Y, Liu Q, Xia Q, Chen S, He X, Di R, Chu M. Combined approaches identify known and novel genes associated with sheep litter size and non-seasonal breeding. Anim Genet 2021; 52:857-867. [PMID: 34494299 DOI: 10.1111/age.13138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/26/2021] [Indexed: 01/29/2023]
Abstract
Improvement of ewe reproduction is considerable by appropriately increasing litter size and sustaining non-seasonal breeding. However, their genetic makeups have not been entirely elucidated. Genome-wide analyses of 821 individuals were performed by combining three genomic approaches (genome-wide association study, XP-nSL, and runs of homozygosity). Consequently, 35 candidate genes including three domestication genes (TSHR, GTF2A1, and KITLG) were identified. Other than the FecB mutation at BMPR1B, we described a significant association of a missense mutation rs406686139 at seasonal lambing-associated TSHR gene with litter size. Some promising novel genes may be relevant for sheep reproduction by multitude biological processes, such as FETUB functioning in fertilization, HNRNPA1 in oogenesis, DCUN1D1 in spermatogenesis, and HRG in fertility outcome. The present study suggests that improvement of ewe reproduction is attributed to selective breeding, and casts light on the genetic basis and improvement of sheep reproduction.
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Affiliation(s)
- Lin Tao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xiangyu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Yingjie Zhong
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Qiuyue Liu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Qing Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Si Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xiaoyun He
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Ran Di
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Mingxing Chu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
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Giuffrè L, Giosa D, Galeano G, Aiese Cigliano R, Paytuví-Gallart A, Sutera AM, Tardiolo G, Zumbo A, Romeo O, D’Alessandro E. Whole-metagenome shotgun sequencing of pig faecal microbiome. ITALIAN JOURNAL OF ANIMAL SCIENCE 2021. [DOI: 10.1080/1828051x.2021.1952910] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Letterio Giuffrè
- Dipartimento di Scienze Veterinarie, Università di Messina, Messina, Italy
| | - Domenico Giosa
- Dipartimento di Medicina Clinica e Sperimentale, Università di Messina, Messina, Italy
| | - Grazia Galeano
- Dipartimento di Scienze Veterinarie, Università di Messina, Messina, Italy
| | | | | | - Anna Maria Sutera
- Dipartimento di Scienze Veterinarie, Università di Messina, Messina, Italy
| | - Giuseppe Tardiolo
- Dipartimento di Scienze Veterinarie, Università di Messina, Messina, Italy
| | - Alessandro Zumbo
- Dipartimento di Scienze Veterinarie, Università di Messina, Messina, Italy
| | - Orazio Romeo
- Dipartimento di Scienze Chimiche, Farmaceutiche ed Ambientali, Università di Messina, Biologiche, Messina, Italy
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Tracing selection signatures in the pig genome gives evidence for selective pressures on a unique curly hair phenotype in Mangalitza. Sci Rep 2020; 10:22142. [PMID: 33335158 PMCID: PMC7747725 DOI: 10.1038/s41598-020-79037-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/02/2020] [Indexed: 12/30/2022] Open
Abstract
Selection for desirable traits and breed-specific phenotypes has left distinctive footprints in the genome of pigs. As representative of a breed with strong selective traces aiming for robustness, health and performance, the Mangalitza pig, a native curly-haired pig breed from Hungary, was investigated in this study. Whole genome sequencing and SNP chip genotyping was performed to detect runs of homozygosity (ROH) in Mangalitza and Mangalitza-crossbreeds. We identified breed specific ROH regions harboring genes associated with the development of the curly hair type and further characteristics of this breed. Further analysis of two matings of Mangalitza with straight-coated pig breeds confirmed an autosomal dominant inheritance of curly hair. Subsequent scanning of the genome for variant effects on this trait revealed two variants potentially affecting hair follicle development and differentiation. Validation in a large sample set as well as in imputed SNP data confirmed these variants to be Mangalitza-specific. Herein, we demonstrated how strong artificial selection has shaped the genome in Mangalitza pigs and left traces in the form of selection signatures. This knowledge on genomic variation promoting unique phenotypes like curly hair provides an important resource for futures studies unraveling genetic effects for special characteristics in livestock.
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Zumbo A, Sutera AM, Tardiolo G, D’Alessandro E. Sicilian Black Pig: An Overview. Animals (Basel) 2020; 10:ani10122326. [PMID: 33297476 PMCID: PMC7762396 DOI: 10.3390/ani10122326] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/02/2020] [Accepted: 12/02/2020] [Indexed: 01/18/2023] Open
Abstract
Simple Summary The conservation of the genetic variability of animals used for food production and non-food raw materials and services is a problem of primary importance at a global level. In recent years, conservation of biodiversity in livestock species has been favoring the need to preserve genetic variability of the autochthonous breeds, exploiting them in the context of production systems. In this context, a precious genetic reserve is represented by autochthonous breeds used for the production of typical products used in Italian gastronomic traditions, of which some organoleptic properties of their meats that could disappear due to severe selection programs are being recovered. Currently, the survival of autochthonous breeds is linked to various reasons such as their rusticity, i.e., the adaptability to difficult environmental conditions, and to the higher market value of their productions obtained according to traditional methods compared to the industrial production types. As information on autochthonous Italian pigs is limited, further research aims at making better use of these breeds and at increasing the knowledge of their genetic variability. Abstract The Sicilian black pig (SB) (Nero Siciliano), also known as the Nero dei Nebrodi, Nero delle Madonie, or Nero dell’Etna pig ecotype, is an autochthonous Italian breed. The origins of this breed date back to Greek and Carthaginian dominations. In ancient times, its breeding was fairly common throughout Sicily, registering only a temporary reduction during the Arab domination. This breed is known primarily for its distinctive black coat, although some individuals display wattles and a partially or wholly white face. The SB pig has a birth rate with an average per sow of 7.6 piglets, each of 1.4 kg live body weight, showing an average daily gain (ADG) of 346 g/day during the fattening period. Slaughter generally takes place at an average age of 390 days, with an average live weight of 95 kg. This breed also appears to withstand adverse climatic conditions and resist disease. The purpose of this manuscript is to offer a general overview regarding the Sicilian Black pig and to consider the recent findings related to genome investigation. The recent application of Next Generation Sequencing (NGS) technologies in the study of the genome of autochthonous breeds showed that polymorphisms of some candidate genes for production performance and phenotypic traits represent important information for selection processes. The protection of autochthonous breeds, intended as sources of genomic diversity for the further improvements of pigs for commercial use, constitutes a valuable opportunity to create new sustainable pig chains.
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