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Yang L, Lin X, Chen Y, Peng P, Lan Q, Zhao H, Wei H, Yin Y, Liu M. Association analysis of the sorting nexin 29 (SNX29) gene copy number variations with growth traits in Diannan small-ear (DSE) pigs. Anim Biotechnol 2024; 35:2309956. [PMID: 38315463 DOI: 10.1080/10495398.2024.2309956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
SNX29 is a potential functional gene associated with meat production traits. Previous studies have shown that SNX29 copy number variation (CNV) could be implicated with phenotype in goats. However, in Diannan small-ear (DSE) pigs, the genetic impact of SNX29 CNV on growth traits remains unclear. Therefore, this study investigated the associations between SNX29 CNVs (CNV10810 and CNV10811) and growth traits in 415 DSE pigs. The results revealed that the CNV10810 mutation was significantly associated with backfat thickness in DSE pigs at 12 and 15 months old (P < 0.05), while the CNV10811 mutation had significant effects on various growth traits at 6 and 12 months old, particularly for body weight, body height, back height and backfat thickness (P < 0.05 or P < 0.001). In conclusion, our results confirm that SNX29 CNV plays a role in regulating growth and development in pigs, thus suggesting its potential application for pig breeding programmes.
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Affiliation(s)
- Long Yang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Xiaoding Lin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Yuhan Chen
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Peiya Peng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Qun Lan
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Heng Zhao
- Yunnan Province Key Laboratory for Porcine Gene Editing and Xenotransplantation, Yunnan Agricultural University, Kunming, China
| | - Hongjiang Wei
- Yunnan Province Key Laboratory for Porcine Gene Editing and Xenotransplantation, Yunnan Agricultural University, Kunming, China
| | - Yulong Yin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Mei Liu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
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He L, Shi X, Han K, Huang W, Chen D, Lian Z, Ruan S. Molecular characterization of adenosine monophosphate deaminase 1 and the correlation analysis between its mRNA expression levels and inosine monophosphate content in large yellow croaker (Larimichthys crocea). Comp Biochem Physiol B Biochem Mol Biol 2024; 272:110966. [PMID: 38452850 DOI: 10.1016/j.cbpb.2024.110966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 03/04/2024] [Accepted: 03/04/2024] [Indexed: 03/09/2024]
Abstract
Declining flesh quality has drawn considerable attention in the farmed large yellow croaker (LYC; Larimichthys crocea) industry. Inosine monophosphate (IMP) is the primary flavor substance in aquatic animals. Adenosine monophosphate deaminase 1 (AMPD1) plays a critical role in IMP formation by catalyzing the deamination of AMP to IMP in the purine nucleotide cycle. To further evaluate the correlation between ampd1 mRNA expression levels and IMP content in the LYC muscle tissue, the relevant open reading frame (ORF) of L. crocea (Lcampd1) was cloned, and the IMP content and Lcampd1 mRNA expression in the muscles of LYCs of different sizes were examined. The ORF cDNA of Lcampd1 was 2211 bp in length and encoded a polypeptide of 736 amino acids (AAs). The deduced protein, LcAMPD1, possesses conserved AMPD active regions (SLSTDDP) and shows high homology with AMPD proteins of other teleost fishes. The genomic DNA sequence of Lcampd1 exhibits a high degree of evolutionary conservation in terms of structural organization among species. Phylogenetic analysis of the deduced AA sequence revealed that teleost fish and mammalian AMPD1 were separate from each other and formed a cluster with AMPD3, suggesting that AMPD1 and AMPD3 arose by duplication of a common primordial gene. In healthy LYC, Lcampd1 mRNA was expressed only in the muscle tissue. The IMP content in the muscle of LYCs with different average body weights was measured by high-performance liquid chromatography; the results showed that the IMP content in the muscle of LYCs with greater body weight was significantly higher than that in LYC with lower body weight. Moreover, a similar trend in Lcampd1 expression was observed in these muscle tissues. The Pearson correlation analysis further showed that the Lcampd1 mRNA expression was positively correlated with IMP content in the muscles of different-sized LYCs. These results suggest the potential function of Lcampd1 in determining the IMP content in LYC and provide a theoretical basis for flesh quality improvement, as well as a scientific basis for the development of the molecular breeding of LYC.
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Affiliation(s)
- Liangyin He
- College of Life Science, Ningde Normal University, Ningde 352100, China; Engineering Research Center of Mindong Aquatic Product Deep-Processing, Ningde Normal University, Ningde 352100, China; Fujian Xinyiding agricultural development Co., Ltd, Ningde 352100, China.
| | - Xiaoli Shi
- College of Life Science, Ningde Normal University, Ningde 352100, China; Engineering Research Center of Mindong Aquatic Product Deep-Processing, Ningde Normal University, Ningde 352100, China
| | - Kunhuang Han
- College of Life Science, Ningde Normal University, Ningde 352100, China; Engineering Research Center of Mindong Aquatic Product Deep-Processing, Ningde Normal University, Ningde 352100, China
| | - Weiqing Huang
- College of Life Science, Ningde Normal University, Ningde 352100, China; Engineering Research Center of Mindong Aquatic Product Deep-Processing, Ningde Normal University, Ningde 352100, China
| | - Delong Chen
- College of Life Science, Ningde Normal University, Ningde 352100, China
| | - Zhidi Lian
- College of Life Science, Ningde Normal University, Ningde 352100, China
| | - Shaojiang Ruan
- College of Life Science, Ningde Normal University, Ningde 352100, China; Engineering Research Center of Mindong Aquatic Product Deep-Processing, Ningde Normal University, Ningde 352100, China.
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Rizwan MZ, Kamstra K, Pretz D, Shepherd PR, Tups A, Grattan DR. Conditional Deletion of β-Catenin in the Mediobasal Hypothalamus Impairs Adaptive Energy Expenditure in Response to High-Fat Diet and Exacerbates Diet-Induced Obesity. J Neurosci 2024; 44:e1666232024. [PMID: 38395612 PMCID: PMC10993030 DOI: 10.1523/jneurosci.1666-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 01/23/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
β-Catenin is a bifunctional molecule that is an effector of the wingless-related integration site (Wnt) signaling to control gene expression and contributes to the regulation of cytoskeleton and neurotransmitter vesicle trafficking. In its former role, β-catenin binds transcription factor 7-like 2 (TCF7L2), which shows strong genetic associations with the pathogenesis of obesity and type-2 diabetes. Here, we sought to determine whether β-catenin plays a role in the neuroendocrine regulation of body weight and glucose homeostasis. Bilateral injections of adeno-associated virus type-2 (AAV2)-mCherry-Cre were placed into the arcuate nucleus of adult male and female β-catenin flox mice, to specifically delete β-catenin expression in the mediobasal hypothalamus (MBH-β-cat KO). Metabolic parameters were then monitored under conditions of low-fat (LFD) and high-fat diet (HFD). On LFD, MBH-β-cat KO mice showed minimal metabolic disturbances, but on HFD, despite having only a small difference in weekly caloric intake, the MBH-β-cat KO mice were significantly heavier than the control mice in both sexes (p < 0.05). This deficit seemed to be due to a failure to show an adaptive increase in energy expenditure seen in controls, which served to offset the increased calories by HFD. Both male and female MBH-β-cat KO mice were highly glucose intolerant when on HFD and displayed a significant reduction in both leptin and insulin sensitivity compared with controls. This study highlights a critical role for β-catenin in the hypothalamic circuits regulating body weight and glucose homeostasis and reveals potential mechanisms by which genetic variation in this pathway could impact on development of metabolic disease.
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Affiliation(s)
- Mohammed Z Rizwan
- Centre for Neuroendocrinology and Department of Anatomy, University of Otago School of Biomedical Sciences, Dunedin 9016, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, Auckland 1010, New Zealand
| | - Kaj Kamstra
- Centre for Neuroendocrinology and Department of Physiology, University of Otago School of Biomedical Sciences, Dunedin 9016, New Zealand
| | - Dominik Pretz
- Centre for Neuroendocrinology and Department of Physiology, University of Otago School of Biomedical Sciences, Dunedin 9016, New Zealand
| | - Peter R Shepherd
- Maurice Wilkins Centre for Molecular Biodiscovery, Auckland 1010, New Zealand
- Faculty of Medical and Health Sciences, University of Auckland, Auckland 1010, New Zealand
| | - Alexander Tups
- Maurice Wilkins Centre for Molecular Biodiscovery, Auckland 1010, New Zealand
- Centre for Neuroendocrinology and Department of Physiology, University of Otago School of Biomedical Sciences, Dunedin 9016, New Zealand
| | - David R Grattan
- Centre for Neuroendocrinology and Department of Anatomy, University of Otago School of Biomedical Sciences, Dunedin 9016, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, Auckland 1010, New Zealand
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Siegel PB, Honaker CF, Andersson L. Research Note: Phenotypic trends for the multigenerational advanced intercross of the Virginia body weight lines of chickens. Poult Sci 2024; 103:103480. [PMID: 38330887 PMCID: PMC10864792 DOI: 10.1016/j.psj.2024.103480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/05/2024] [Accepted: 01/15/2024] [Indexed: 02/10/2024] Open
Abstract
Random samples from generation S41 of the Virginia high and low 8-week body weight lines formed the base population for producing a multigenerational reciprocal intercross population. Although genetic mapping from this intercross has been reported, lacking are phenotypic trends across multiple generations. Here, we provide phenotypic information for the parental base population, the F1 reciprocal cross, and subsequent segregating recombinant generations F2 to F17. Heterosis for the selected trait in the F1 was negative for both reciprocal crosses. Phenotypic correlations for the selected trait in the recombinant generations were essentially nil for both males and females as was percent sexual dimorphism and coefficients of variation.
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Affiliation(s)
- P B Siegel
- School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA.
| | - C F Honaker
- School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA
| | - L Andersson
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, S-75123 Uppsala, Sweden; Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77843, USA
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5
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Wang J, Liu J, Lei Q, Liu Z, Han H, Zhang S, Qi C, Liu W, Li D, Li F, Cao D, Zhou Y. Elucidation of the genetic determination of body weight and size in Chinese local chicken breeds by large-scale genomic analyses. BMC Genomics 2024; 25:296. [PMID: 38509464 PMCID: PMC10956266 DOI: 10.1186/s12864-024-10185-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 03/04/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Body weight and size are important economic traits in chickens. While many growth-related quantitative trait loci (QTLs) and candidate genes have been identified, further research is needed to confirm and characterize these findings. In this study, we investigate genetic and genomic markers associated with chicken body weight and size. This study provides new insights into potential markers for genomic selection and breeding strategies to improve meat production in chickens. METHODS We performed whole-genome resequencing of and Wenshang Barred (WB) chickens (n = 596) and three additional breeds with varying body sizes (Recessive White (RW), WB, and Luxi Mini (LM) chickens; (n = 50)). We then used selective sweeps of mutations coupled with genome-wide association study (GWAS) to identify genomic markers associated with body weight and size. RESULTS We identified over 9.4 million high-quality single nucleotide polymorphisms (SNPs) among three chicken breeds/lines. Among these breeds, 287 protein-coding genes exhibited positive selection in the RW and WB populations, while 241 protein-coding genes showed positive selection in the LM and WB populations. Genomic heritability estimates were calculated for 26 body weight and size traits, including body weight, chest breadth, chest depth, thoracic horn, body oblique length, keel length, pelvic width, shank length, and shank circumference in the WB breed. The estimates ranged from 0.04 to 0.67. Our analysis also identified a total of 2,522 genome-wide significant SNPs, with 2,474 SNPs clustered around two genomic regions. The first region, located on chromosome 4 (7.41-7.64 Mb), was linked to body weight after ten weeks and body size traits. LCORL, LDB2, and PPARGC1A were identified as candidate genes in this region. The other region, located on chromosome 1 (170.46-171.53 Mb), was associated with body weight from four to eighteen weeks and body size traits. This region contained CAB39L and WDFY2 as candidate genes. Notably, LCORL, LDB2, and PPARGC1A showed highly selective signatures among the three breeds of chicken with varying body sizes. CONCLUSION Overall this study provides a comprehensive map of genomic variants associated with body weight and size in chickens. We propose two genomic regions, one on chromosome 1 and the other on chromosome 4, that could helpful for developing genome selection breeding strategies to enhance meat yield in chickens.
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Affiliation(s)
- Jie Wang
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Jie Liu
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Qiuxia Lei
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Zhihe Liu
- Sichuan agricultural university college of animal science and technology, Chengdu, 611130, China
| | - Haixia Han
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Shuer Zhang
- Shandong Animal Husbandry General Station, Jinan, 250023, China
| | - Chao Qi
- Shandong Animal Husbandry General Station, Jinan, 250023, China
| | - Wei Liu
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Dapeng Li
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Fuwei Li
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Dingguo Cao
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Yan Zhou
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China.
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China.
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Kieler IN, Persson SM, Hagman R, Marinescu VD, Hedhammar Å, Strandberg E, Lindblad-Toh K, Arendt ML. Genome wide association study in Swedish Labrador retrievers identifies genetic loci associated with hip dysplasia and body weight. Sci Rep 2024; 14:6090. [PMID: 38480780 PMCID: PMC10937653 DOI: 10.1038/s41598-024-56060-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/01/2024] [Indexed: 03/17/2024] Open
Abstract
Genome wide association studies (GWAS) have been utilized to identify genetic risk loci associated with both simple and complex inherited disorders. Here, we performed a GWAS in Labrador retrievers to identify genetic loci associated with hip dysplasia and body weight. Hip dysplasia scores were available for 209 genotyped dogs. We identified a significantly associated locus for hip dysplasia on chromosome 24, with three equally associated SNPs (p = 4.3 × 10-7) in complete linkage disequilibrium located within NDRG3, a gene which in humans has been shown to be differentially expressed in osteoarthritic joint cartilage. Body weight, available for 85 female dogs, was used as phenotype for a second analysis. We identified two significantly associated loci on chromosome 10 (p = 4.5 × 10-7) and chromosome 31 (p = 2.5 × 10-6). The most associated SNPs within these loci were located within the introns of the PRKCE and CADM2 genes, respectively. PRKCE has been shown to play a role in regulation of adipogenesis whilst CADM2 has been associated with body weight in multiple human GWAS. In summary, we identified credible candidate loci explaining part of the genetic inheritance for hip dysplasia and body weight in Labrador retrievers with strong candidate genes in each locus previously implicated in the phenotypes investigated.
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Affiliation(s)
- Ida Nordang Kieler
- Department of Veterinary Clinical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sofia Malm Persson
- Department for Breeding and Health, Swedish Kennel Club, Stockholm, Sweden
| | - Ragnvi Hagman
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Voichita D Marinescu
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- SciLifeLab, Uppsala, Sweden
| | - Åke Hedhammar
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Erling Strandberg
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Kerstin Lindblad-Toh
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- SciLifeLab, Uppsala, Sweden
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Maja Louise Arendt
- Department of Veterinary Clinical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
- SciLifeLab, Uppsala, Sweden.
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Soares BB, Brunes LC, Baldi FS, Carmo ASDO, Pereira LS, Carvalho RA, Narciso MG, Amorim ST, Sainz RD, Magnabosco CU. Genetic parameters for visual scores, growth and carcass traits in Nellore Cattle. AN ACAD BRAS CIENC 2024; 96:e20230010. [PMID: 38451594 DOI: 10.1590/0001-3765202420230010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 12/02/2023] [Indexed: 03/08/2024] Open
Abstract
Growth and carcass traits are essential selection criteria for beef cattle breeding programs. However, it is necessary to combine these measurements with body composition traits to meet the demand of the consumer market. This study aimed to estimate the genetic parameters for visual scores, growth (pre and post-weaning weights), and carcass (rib eye area (REA), back and rump fat thickness) traits in Nellore cattle using Bayesian inference. Data from 12,060 animals belonging to the HoRa Hofig Ramos herd were used. Morphological traits were evaluated by the MERCOS methodology. The heritability estimates obtained ranged from low to high magnitude, from 0.15 to 0.28 for visual scores, 0.13 to 0.44 for growth, and from 0.42 to 0.46 for carcass traits. Genetic correlations between visual scores and growth traits were generally of moderate to high magnitudes, however, visual scores showed low correlations with carcass traits, except between sacral bone and structure and REA. Selection for visual score traits can lead to favorable responses in body weight and vice versa, but the same is not true for carcass traits. Morphological categorical traits can be used as complementary tools that add value to selection.
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Affiliation(s)
- Byanka B Soares
- Universidade Federal de Goiás, Departamento de Produção Animal, Campus Samambaia, Rodovia Goiânia - Nova Veneza, Km 8, 74690-900 Goiânia, GO, Brazil
| | - Ludmilla C Brunes
- Embrapa Cerrados, Rodovia BR-020, Km 18, 73310-970 Planaltina, DF, Brazil
| | - Fernando Sebastian Baldi
- Universidade Estadual Paulista, Campus Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane, s/n, 14884-900 Jaboticabal, SP, Brazil
| | - Adriana S DO Carmo
- Universidade Federal de Goiás, Escola de Veterinária e Zootecnia, Campus Samambaia, Rodovia Goiânia - Nova Veneza, Km 8, 74690-900 Goiânia, GO, Brazil
| | - Letícia S Pereira
- Universidade Federal de Goiás, Departamento de Produção Animal, Campus Samambaia, Rodovia Goiânia - Nova Veneza, Km 8, 74690-900 Goiânia, GO, Brazil
| | - Rafael A Carvalho
- Universidade Federal de Goiás, Centro de Parasitologia Veterinária, Avenida Esperança, s/n, Campus Samambaia, 74045-155 Goiânia, GO, Brazil
| | - Marcelo G Narciso
- Embrapa Arroz e Feijão, Rodovia GO-462, Km 12, Fazenda Capivara, Zona Rural, 75375-000 Santo Antônio de Goiás, GO, Brazil
| | - Sabrina T Amorim
- Virginia Polytechnic Institute and State University, School of Animal Sciences, Department of Animal and Poultry Sciences, West Campus Dr. Blacksburg, VA, 24060, USA
| | - Roberto Daniel Sainz
- Universidade Federal de Goiás, Departamento de Produção Animal, Campus Samambaia, Rodovia Goiânia - Nova Veneza, Km 8, 74690-900 Goiânia, GO, Brazil
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Ma Z, Wang W, Zhang D, Zhang Y, Zhao Y, Li X, Zhao L, Cheng J, Xu D, Yang X, Liu J, He L, Chen Z, Gong P, Zhang X. Polymorphisms of PLIN1 and MOGAT1 genes and their association with feed efficiency in Hu sheep. Gene 2024; 897:148072. [PMID: 38081333 DOI: 10.1016/j.gene.2023.148072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/22/2023] [Accepted: 12/08/2023] [Indexed: 12/21/2023]
Abstract
Feed cost accounts for a high proportion of sheep production, and improving sheep's utilization of feed will reduce production costs and improve economic benefits. The purpose of this study was to investigate the expression characteristics of PLIN1 and MOGAT1 genes and the relationship between their polymorphisms and feed efficiency traits in Hu sheep, and to find molecular Genetic marker that can be used in breeding. The expression levels of PLIN1 and MOGAT1 genes in various tissues were determined using quantitative real-time PCR (qRT-PCR). The results showed that PLIN1 and MOGAT1 genes were widely expressed in heart, liver, spleen, lungs, kidneys, rumen, duodenum, muscle, lymph, and tail fat. The PLIN1 gene had the highest expression level in in the tail fat compared to the other nine tissues. The expression levels of MOGAT1 gene in liver, tail fat, lung and heart was significantly higher than in kidney, muscle and lymph. The expression level of MOGAT1 was lowest in muscle compared to the other tissues (heart, liver, spleen, lung, rumen and tail fat). We recorded the body weight (BW80 and BW180) and feed intake (FI) information of 985 male Hu sheep at 80 and 180 days of age, and calculated the daily average feed intake (ADFI), average daily gain (ADG), and feed conversion rate (FCR) from 80 to 180 days of age. Two intronic mutations, g.18517910 A > G and g.224856118 G > C, were identified in PLIN1 and MOGAT1 genes by PCR amplification and Sanger sequencing. MassARRAY ® SNP detection technology was used to genotype the DNA of 985 Hu sheep and analyze its association with feed efficiency traits. The results showed that the SNP g.18517910 A > G was significantly associated with BW80, BW180, FI, ADFI and FCR (P < 0.05), while SNP g.2248561118 G > C was significantly associated with FCR (P < 0.05). Meanwhile, significant differences were also observed in different combinations of genotypes (P < 0.05). Therefore, these two polymorphic loci can serve as candidate molecular markers for improving feed utilization efficiency in Hu sheep.
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Affiliation(s)
- Zongwu Ma
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Weimin Wang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Deyin Zhang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Yukun Zhang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Yuan Zhao
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Xiaolong Li
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Liming Zhao
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Jiangbo Cheng
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Dan Xu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Xiaobin Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Jia Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Lijuan He
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Zhanyu Chen
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Ping Gong
- Institute of Animal Husbandry Quality Standards, Xinjiang Academy of Animal Science, Urumqi, 830057, China.
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
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Ribeiro VMP, Gouveia GC, Toral FLB. Candidate genes for longitudinal traits under sequential sampling in beef cattle. J Anim Breed Genet 2024; 141:179-192. [PMID: 37917404 DOI: 10.1111/jbg.12833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 10/09/2023] [Accepted: 10/14/2023] [Indexed: 11/04/2023]
Abstract
Both the measurement age of a longitudinal trait and the common pre-sampling procedures used in beef cattle herds may affect the identification of a functional candidate gene (FCG) that is potentially associated with a trait. To identify the FCG that takes part in the genetic control of body weight at five different ages in a beef cattle population with and without sequential sampling, the animals were weighed at different measurement events, around 330, 385, 440, 495 and 550 days old. Genetic parameters were estimated for body weight at each age using a single trait (STM) and a random regression model (RRM). In addition, two different databases were used to estimate the genetic parameters: the first (DB100) was formed by all animals that were weighed in the five measurement events, and the second (DB70) has records of the same population, considering that 70% of the heaviest animals were selected after each measurement event. For DB100, genome-wide association studies (GWAS) were performed with 21,667 SNP markers to identify genomic windows that explained at least 1% of the genetic variance. Additionally, prioritization analyses were performed and FCGs were selected. We associated seven different FCGs with body weight at different ages. Among them, the gene DUSP10 was suggested as FCG in all five ages evaluated. Genetic parameters estimated for body weight using DB100 were similar when STM and RRM were applied. However, when DB70 was used as phenotypic data, there were differences between the two models. When the STM was applied, there were differences between the genetic parameters estimated for body weight when DB100 or DB70 were used as sources of phenotypes, but not for the estimates obtained with RRM. The importance of each gene for animal growth can change at different ages, and different genes may be more relevant to body weight at each different growth stage for beef cattle. Besides, sequential sampling can affect the GWAS results of a longitudinal trait. The age of the animal when a longitudinal trait is measured and pre-sampling can also contribute to inconsistencies in GWAS results for body weight in beef cattle, depending on the time when that data were collected, and consequently on the identification of FCG between studies, even when models that consider a covariance structure are used.
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Ghaderi‐Zefrehei M, Rafeie F, Zakizadeh S, Torshizi ME, Peters SO, Smith J. Genetic variance components of the growth curve for Isfahan indigenous chicken. Vet Med Sci 2024; 10:e1388. [PMID: 38379342 PMCID: PMC10879718 DOI: 10.1002/vms3.1388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 11/16/2023] [Accepted: 02/02/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND Being able to model a growth curve using three or four non-linear functional parameters could help explain the growth phenomenon in a precise way and would allow the comparison of an animal's development rate, optimize management and feeding strategies and guide animal production strategies. OBJECTIVE The goal of this study was to estimate the genetic parameters of growth traits of Isfahan indigenous chicken in Iran and to determine the best non-linear model describing the growth curve. METHODS The prediction of additive genetic parameters was performed using the REML method by WOMBAT. Direct heritability of the studied traits and genetic correlations between them were obtained. The Logistic, Gompertz, von Bertalanffy, Brody, Negative exponential, Weibull, Janoschek and Bridges models were compared based on the coefficient of determination (R2 ), mean square error (MSE) and akaike information criterion. RESULTS The Gompertz model was identified as the best model for describing the growth curve for Isfahan native chicken. The heritability of maturity weights (A), initial weight (B) and maturity rate (K) parameters were 0.223 ± 0.002, 0.016 ± 0.005 and 0.087 ± 0.001, respectively. CONCLUSION This study shows that Isfahan indigenous chicken has the genetic potential for improving growth and reproduction based on their desirable heritabilities and correlations using appropriate models.
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Affiliation(s)
| | - Farjad Rafeie
- Department of Agricultural BiotechnologyFaculty of Agricultural SciencesUniversity of GuilanRashtIran
| | - Sonia Zakizadeh
- Animal Sciences Research Institute of IranAgricultural ResearchEducation and Extension OrganizationKarajIran
| | | | - Sunday O Peters
- Department of Animal ScienceBerry CollegeMount BerryGeorgiaUSA
| | - Jacqueline Smith
- The Roslin Institute and Royal (Dick) School of Veterinary StudiesThe University of EdinburghEdinburghUK
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Du L, Ma W, Peng W, Zhao H, Zhao J, Wang J, Wang W, Lyu S, Zhang Z, Qi X, Wang E, Lei C, Huang Y. Impact of STAT5A-CNVs on growth traits in Chinese beef cattle breeds. Gene 2024; 896:148073. [PMID: 38086453 DOI: 10.1016/j.gene.2023.148073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/30/2023] [Accepted: 12/08/2023] [Indexed: 12/18/2023]
Abstract
CNVs, which are a type of structural variation, make a substantial impact on diverse characteristics in multiple species. Q-PCR and data association analysis were used for STAT5A gene copy in this study. This study aimed to investigate the copy number variation (CNV) of the STAT5A gene in seven Chinese cattle breeds, namely Qinchuan cattle, Xianan cattle, Yunling cattle, Ji'an cattle, Jiaxian Red cattle, Qaidam cattle, and Guyuan yellow cattle. Blood samples were collected for CNV typing, and the correlation between CNV type and growth traits was analyzed using SPSS 23.0 software and ANOVA. The findings revealed variations in the distribution of different copy number types among the different cattle breeds. Furthermore, association analysis demonstrated a positive impact of CNV in the STAT5A gene on cattle growth: in the JX, individuals with duplication types exhibited superior performance in terms of rump length (P < 0.05). Conversely, normal GY cattle demonstrated better body height and abdomen circumference (P < 0.05), while QD cattle exhibited a significant correlation between weight and body length with normal individuals (P < 0.05). Moreover, QC bovine duplication individuals outperformed other types, with copy number variation significantly associated with chest depth, chest width, and body length (P < 0.05). The results validate the correlation between copy number variation (CNV) of the STAT5A gene and growth characteristics in five different cattle breeds, providing a reliable benchmark for the purpose of cattle breeding.
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Affiliation(s)
- Lei Du
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Weidong Ma
- Shaanxi Agricultural and Animal Husbandry Seed Farm, Shaanxi, Fufeng 722203, People's Republic of China
| | - Wei Peng
- Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, People's Republic of China
| | - Huangqing Zhao
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Jiahao Zhao
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Jiamei Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Wusheng Wang
- Shaanxi Agricultural and Animal Husbandry Seed Farm, Shaanxi, Fufeng 722203, People's Republic of China
| | - Shijie Lyu
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Zijing Zhang
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Xingshan Qi
- Biyang County Xiananniu Technology Development Co., Ltd, 463700, People's Republic of China
| | - Eryao Wang
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
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12
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Zhao J, Liu Z, Wang X, Xin X, Du L, Zhao H, An Q, Ding X, Zhang Z, Wang E, Xu Z, Huang Y. The Identification of Goat KCNJ15 Gene Copy Number Variation and Its Association with Growth Traits. Genes (Basel) 2024; 15:250. [PMID: 38397239 PMCID: PMC10888278 DOI: 10.3390/genes15020250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
(1) Background: Copy number variation (CNV) is a critical component of genome structural variation and has garnered significant attention. High-throughput screening of the KCNJ15 gene has revealed a correlation between the CNV region and the growth traits of goats. We aimed to identify the CNV of the KCNJ15 gene in five goat breeds and analyze its association with growth characteristics. (2) Methods: We utilized 706 goats from five breeds: Guizhou black goat (GZB), Guizhou white goat (GZW), Bohuai goat (BH), Huai goat (HH), and Taihang goat (TH). To evaluate the number of copies of the KCNJ15 gene using qPCR, we analyzed the correlation between the CNV and growth characteristics and then used a universal linear model. The findings revealed variations in the distribution of different copy number types among the different goat breeds. (3) Results: Association analysis revealed a positive influence of the CNV in the KCNJ15 gene on goat growth. In GZB, individuals with duplication types exhibited superior performance in terms of cannon bone circumference (p < 0.05). In HH, individuals with duplication types exhibited superior performance in terms of body slanting length (p < 0.05). Conversely, normal TH demonstrated better body height and body weight (p < 0.05), while in GZW, when CN = 3, it performed better than other types in terms of body weight and chest circumference (p < 0.05). However, in BH, it had no significant effect on growth traits. (4) Conclusions: We confirmed that the CNV in the KCNJ15 gene significantly influences the growth characteristics of four distinct goat breeds. The correlation between KCNJ15 gene CNVs and goat growth traits offers valuable insights to breeders, enabling them to employ precise and efficient breeding methods that enhance livestock welfare, productivity, and overall economic benefits in the industry.
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Affiliation(s)
- Jiahao Zhao
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (J.Z.); (Z.L.); (L.D.); (H.Z.); (X.D.)
| | - Zhe Liu
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (J.Z.); (Z.L.); (L.D.); (H.Z.); (X.D.)
| | - Xianwei Wang
- Henan Provincial Animal Husbandry General Station, Zhengzhou 450008, China;
| | - Xiaoling Xin
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (X.X.); (Z.Z.); (E.W.)
| | - Lei Du
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (J.Z.); (Z.L.); (L.D.); (H.Z.); (X.D.)
| | - Huangqing Zhao
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (J.Z.); (Z.L.); (L.D.); (H.Z.); (X.D.)
| | - Qingming An
- College of Agriculture and Forestry Engineering, Tongren University, Tongren 554300, China;
| | - Xiaoting Ding
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (J.Z.); (Z.L.); (L.D.); (H.Z.); (X.D.)
| | - Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (X.X.); (Z.Z.); (E.W.)
| | - Eryao Wang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (X.X.); (Z.Z.); (E.W.)
| | - Zejun Xu
- Henan Provincial Animal Husbandry General Station, Zhengzhou 450008, China;
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (J.Z.); (Z.L.); (L.D.); (H.Z.); (X.D.)
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Pokushalov E, Ponomarenko A, Garcia C, Pak I, Shrainer E, Seryakova M, Johnson M, Miller R. The Impact of Glucomannan, Inulin, and Psyllium Supplementation (Soloways TM) on Weight Loss in Adults with FTO, LEP, LEPR, and MC4R Polymorphisms: A Randomized, Double-Blind, Placebo-Controlled Trial. Nutrients 2024; 16:557. [PMID: 38398881 PMCID: PMC10892568 DOI: 10.3390/nu16040557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 02/25/2024] Open
Abstract
This study aimed to determine the impact of a fiber supplement on body weight and composition in individuals with obesity with specific genetic polymorphisms. It involved 112 adults with obesity, each with at least one minor allele in the FTO, LEP, LEPR, or MC4R polymorphism. Participants were randomized to receive either a fiber supplement (glucomannan, inulin, and psyllium) or a placebo for 180 days. The experimental group showed significant reductions in body weight (treatment difference: -4.9%; 95% CI: -6.9% to -2.9%; p < 0.01) and BMI (treatment difference: -1.4 kg/m2; 95% CI: -1.7 to -1.2; p < 0.01) compared to placebo. Further significant decreases in fat mass (treatment difference: -13.0%; 95% CI: -14.4 to -11.7; p < 0.01) and visceral fat rating (treatment difference: -1.3; 95% CI: -1.6 to -1.0; p < 0.01) were noted. Homozygous minor allele carriers experienced greater decreases in body weight (treatment difference: -3.2%; 95% CI: -4.9% to -1.6%; p < 0.01) and BMI (treatment difference: -1.2 kg/m2; 95% CI: -2.0 to -0.4; p < 0.01) compared to heterozygous allele carriers. These carriers also had a more significant reduction in fat mass (treatment difference: -9.8%; 95% CI: -10.6 to -9.1; p < 0.01) and visceral fat rating (treatment difference: -0.9; 95% CI: -1.3 to -0.5; p < 0.01). A high incidence of gastrointestinal events was reported in the experimental group (74.6%), unlike the placebo group, which reported no side effects. Dietary supplementation with glucomannan, inulin, and psyllium effectively promotes weight loss and improves body composition in individuals with obesity, particularly those with specific genetic polymorphisms.
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Affiliation(s)
- Evgeny Pokushalov
- Center for New Medical Technologies, Novosibirsk 630090, Russia; (A.P.); (I.P.); (E.S.); (M.S.)
- Scientific Research Laboratory, Triangel Scientific, San Francisco, CA 94101, USA; (C.G.)
| | - Andrey Ponomarenko
- Center for New Medical Technologies, Novosibirsk 630090, Russia; (A.P.); (I.P.); (E.S.); (M.S.)
| | - Claire Garcia
- Scientific Research Laboratory, Triangel Scientific, San Francisco, CA 94101, USA; (C.G.)
| | - Inessa Pak
- Center for New Medical Technologies, Novosibirsk 630090, Russia; (A.P.); (I.P.); (E.S.); (M.S.)
| | - Evgenya Shrainer
- Center for New Medical Technologies, Novosibirsk 630090, Russia; (A.P.); (I.P.); (E.S.); (M.S.)
| | - Mariya Seryakova
- Center for New Medical Technologies, Novosibirsk 630090, Russia; (A.P.); (I.P.); (E.S.); (M.S.)
| | - Michael Johnson
- Scientific Research Laboratory, Triangel Scientific, San Francisco, CA 94101, USA; (C.G.)
| | - Richard Miller
- Scientific Research Laboratory, Triangel Scientific, San Francisco, CA 94101, USA; (C.G.)
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Kajbaf K, Overturf K, Kumar V. Integrated alternative approaches to select feed-efficient rainbow trout families to enhance the plant protein utilization. Sci Rep 2024; 14:3869. [PMID: 38365996 PMCID: PMC10873365 DOI: 10.1038/s41598-024-54218-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 02/09/2024] [Indexed: 02/18/2024] Open
Abstract
Improving feed utilization efficiency is a challenge in aquaculture. Therefore, we developed an indirect benchmark to use in selecting trout for improved efficiency of feed utilization on plant protein (soy)-based diets, with the long-term goal of reducing the cost of commercial trout production. We used a four-part integrative approach to identify feed efficient individuals among 1595 fish coming from 12 genetically selected families by establishing the phenotypic relationship between feed conversion ratio (FCR) and body weight variations using compensatory feeding regimes. Additionally, we examined the nutritional composition of fish filet for each efficiency phenotype during the compensatory regimen. Our findings showed that the fish with the lowest weight loss during a feed deprivation period and the highest weight gain during the refeeding period (FD-/RF +) demonstrated the lowest FCR (FCR = 0.99) and consisted of individuals from several lines. This finding confirms the possibility of improving feed efficiency in mixed lines. Although feeding period has an effect on nutritional composition of fillet, such selection criteria did not show an effect on groups. Overall, successful selection for the improvement of feed efficiency will have a broad application to commercial fish selective breeding programs, leading to increased aquaculture sustainability in the long run.
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Affiliation(s)
- Kimia Kajbaf
- Department of Animal, Veterinary and Food Sciences, Aquaculture Research Institute, University of Idaho, Moscow, 83844, USA
| | - Ken Overturf
- ARS-USDA, Hagerman Fish Culture Experiment Station, 3059-F National Fish Hatchery Road, Hagerman, 83332, USA
| | - Vikas Kumar
- Department of Animal, Veterinary and Food Sciences, Aquaculture Research Institute, University of Idaho, Moscow, 83844, USA.
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15
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Madsen MD, van der Werf JHJ, Clark S. Macro- and micro-genetic environmental sensitivity of yearling weight in Angus beef cattle. Animal 2024; 18:101068. [PMID: 38237477 DOI: 10.1016/j.animal.2023.101068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 12/17/2023] [Accepted: 12/18/2023] [Indexed: 02/26/2024] Open
Abstract
Australian beef cattle experience variable conditions, which may give rise to genotype-by-environment interactions depending on the genotypes' macro- and/or micro-genetic environmental sensitivity (GES). Macro-GES gives rise to genotype-by-environment interactions across definable and shared environments, while micro-GES causes heritable variation of phenotypes, e.g., the performance of progeny from one sire may be more variable than other sires. Yearling weight (YW) is a key trait in Australian Angus cattle that may be impacted by both macro- and micro-GES. Current models for genetic evaluation of YW attempt to account for macro-GES by fitting sire-by-herd interactions (S × H). Variation in micro-GES had not yet been estimated for YW in Australian Angus. The aim of this study was to estimate genetic variation due to macro- and micro-GES in YW of Australian Angus cattle. A reaction norm with contemporary group effects as the environmental covariate was fitted either as an alternative to or in combination with a random S × H effect to account for macro-GES. Double hierarchical generalised linear models (DHGLM), fitted as sire models, were used to estimate the genetic variance of the dispersion as a measure of micro-GES. Variation due to both macro- and micro-GES were found in YW. The variance of the slope of the reaction norm was 0.02-0.03 (SEs 0.00), while the S × H variance accounted for 7% of the phenotypic variance in all models. Results showed that both a random S × H effect and a reaction norm should be included to account for both macro-GES and the additional variation captured by an S × H effect. The heritability of the dispersion on the measurement scale ranged from 0.06 to 0.10 (SEs 0.00) depending on which model was used. It should therefore be possible to alter both macro- and micro-GES of YW in Australian Angus through selection. However, care should be taken to ensure an appropriate data structure when including sire-by-herd interactions in the mean part of a DHGLM; otherwise, it can cause biased estimates of micro-GES.
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Affiliation(s)
- M D Madsen
- School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
| | - J H J van der Werf
- School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
| | - S Clark
- School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
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16
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Yosief RHS, Lone IM, Nachshon A, Himmelbauer H, Gat‐Viks I, Iraqi FA. Identifying genetic susceptibility to Aspergillus fumigatus infection using collaborative cross mice and RNA-Seq approach. Animal Model Exp Med 2024; 7:36-47. [PMID: 38356021 PMCID: PMC10961901 DOI: 10.1002/ame2.12386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/15/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Aspergillus fumigatus (Af) is one of the most ubiquitous fungi and its infection potency is suggested to be strongly controlled by the host genetic background. The aim of this study was to search for candidate genes associated with host susceptibility to Aspergillus fumigatus (Af) using an RNAseq approach in CC lines and hepatic gene expression. METHODS We studied 31 male mice from 25 CC lines at 8 weeks old; the mice were infected with Af. Liver tissues were extracted from these mice 5 days post-infection, and next-generation RNA-sequencing (RNAseq) was performed. The GENE-E analysis platform was used to generate a clustered heat map matrix. RESULTS Significant variation in body weight changes between CC lines was observed. Hepatic gene expression revealed 12 top prioritized candidate genes differentially expressed in resistant versus susceptible mice based on body weight changes. Interestingly, three candidate genes are located within genomic intervals of the previously mapped quantitative trait loci (QTL), including Gm16270 and Stox1 on chromosome 10 and Gm11033 on chromosome 8. CONCLUSIONS Our findings emphasize the CC mouse model's power in fine mapping the genetic components underlying susceptibility towards Af. As a next step, eQTL analysis will be performed for our RNA-Seq data. Suggested candidate genes from our study will be further assessed with a human cohort with aspergillosis.
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Affiliation(s)
- Roa'a H. S. Yosief
- Department of Clinical Microbiology and Immunology, Sackler Faculty of MedicineTel‐Aviv UniversityTel‐AvivIsrael
| | - Iqbal M. Lone
- Department of Clinical Microbiology and Immunology, Sackler Faculty of MedicineTel‐Aviv UniversityTel‐AvivIsrael
| | - Aharon Nachshon
- School of Molecular Cell Biology and Biotechnology, George S. Wise Faculty of Life SciencesTel Aviv UniversityTel AvivIsrael
| | - Heinz Himmelbauer
- Institute of Computational Biology, Department of Biotechnology, University of Natural Resources and Life Sciences, Muthgasse 181190 ViennaAustria
| | - Irit Gat‐Viks
- School of Molecular Cell Biology and Biotechnology, George S. Wise Faculty of Life SciencesTel Aviv UniversityTel AvivIsrael
| | - Fuad A. Iraqi
- Department of Clinical Microbiology and Immunology, Sackler Faculty of MedicineTel‐Aviv UniversityTel‐AvivIsrael
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17
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Almeida KC, Bignardi AB, Mercadante MEZ, El Faro L, Cyrillo JNSG, Boligon AA, Carvalheiro R, Pereira RJ, Santana ML. Longitudinal genetic dynamics of weaning index and implications for cow-calf production efficiency. Animal 2024; 18:101064. [PMID: 38232659 DOI: 10.1016/j.animal.2023.101064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 12/12/2023] [Accepted: 12/15/2023] [Indexed: 01/19/2024] Open
Abstract
In beef cattle, the selection for higher weights at young ages has been questioned with the argument that this criterion may increase the adult weight of cows, resulting in higher costs. Therefore, selection criteria should be employed to increase weights at young ages with minimal impact on the adult weight of cows. Additionally, the relationship between measures of cow production efficiency and other well-established selection criteria in breeding programs remains poorly understood. The objective of this study was to longitudinally evaluate the relationship between the weaning index (WIndex) as a measure of efficiency and growth traits of the cows. Possible changes over time in WIndex due to selection applied for yearling weight (YW) were also investigated. The WIndex was proposed to maximize genetic response in the weaning weight of the calf while maintaining genetic gain in BW of the cow at zero. A random regression model was adopted to estimate correlations between WIndex, BW, hip height (HH), and body condition score (BCS) using records of Nelore cows from three lines. Genetic trends were calculated for the control line (NeC) and lines selected for greater YW (NeS and NeT). The age of 3 years was the most critical for the weaning efficiency of the cows. At this stage, young cows are still growing and wean lighter calves than their adult counterparts. The genetic correlation estimates between WIndex and BW (-0.58 to 0.04), HH (-0.05 to -0.34), and BCS (-0.51 to -0.17) were close to zero or negative. BW and HH were strongly correlated genetically across all ages (0.73-0.76). In general, HH exhibited a weak and negative genetic relationship with BCS. The genetic correlation between BW and BCS was stronger for advanced ages (0.45-0.68). In lines selected for YW, important increases in WIndex were observed. However, NeS has been selected since the 1980s until the present for YW, and thus, it showed a more pronounced trend of increasing BW and, consequently, a more modest trend of increasing WIndex compared to NeT. In contrast, WIndex exhibited a trend close to zero for NeC. In this context, monitoring HH and BCS can be useful to avoid losses in the weaning efficiency of cows. Furthermore, we suggest that one way to mitigate efficiency losses in calf production could involve stabilizing the BW of cows and increasing the weaning weight of calves using the WIndex.
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Affiliation(s)
- K C Almeida
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Rondonópolis (UFR), 78736-900 Rondonópolis, MT, Brazil
| | - A B Bignardi
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Rondonópolis (UFR), 78736-900 Rondonópolis, MT, Brazil
| | - M E Z Mercadante
- Instituto de Zootecnia (IZ), Centro Avançado de Pesquisa de Bovinos de Corte, CP 63, 14160-900 Sertãozinho, SP, Brazil
| | - L El Faro
- Instituto de Zootecnia (IZ), Centro Avançado de Pesquisa de Bovinos de Corte, CP 63, 14160-900 Sertãozinho, SP, Brazil
| | - J N S G Cyrillo
- Instituto de Zootecnia (IZ), Centro Avançado de Pesquisa de Bovinos de Corte, CP 63, 14160-900 Sertãozinho, SP, Brazil
| | - A A Boligon
- Departamento de Zootecnia, Universidade Federal de Pelotas (UFPEL), Campus Universitário Capão do Leão, s/n, 96160-000 Capão do Leão, RS, Brazil
| | - R Carvalheiro
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Agriculture and Food, Castray Esplanade, Hobart TAS 7001, Australia
| | - R J Pereira
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Rondonópolis (UFR), 78736-900 Rondonópolis, MT, Brazil
| | - M L Santana
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Rondonópolis (UFR), 78736-900 Rondonópolis, MT, Brazil.
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18
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Cavani L, Parker Gaddis KL, Baldwin RL, Santos JEP, Koltes JE, Tempelman RJ, VandeHaar MJ, White HM, Peñagaricano F, Weigel KA. Consistency of dry matter intake in Holstein cows: Heritability estimates and associations with feed efficiency. J Dairy Sci 2024; 107:1054-1067. [PMID: 37769947 DOI: 10.3168/jds.2023-23774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/31/2023] [Indexed: 10/03/2023]
Abstract
Resilience can be defined as the capacity to maintain performance or bounce back to normal functioning after a perturbation, and studying fluctuations in daily feed intake may be an effective way to identify resilient dairy cows. Our goal was to develop new phenotypes based on daily dry matter intake (DMI) consistency in Holstein cows, estimate genetic parameters and genetic correlations with feed efficiency and milk yield consistency, and evaluate their relationships with production, longevity, health, and reproduction traits. Data consisted of 397,334 daily DMI records of 6,238 lactating Holstein cows collected from 2007 to 2022 at 6 research stations across the United States. Consistency phenotypes were calculated based on the deviations from expected daily DMI for individual cows during their respective feeding trials, which ranged from 27 to 151 d in duration. Expected values were derived from different models, including simple average, quadratic and cubic quantile regression with a 0.5 quantile, and locally estimated scatterplot smoothing (LOESS) regression with span parameters 0.5 and 0.7. We then calculated the log of variance (log-Var-DMI) of daily deviations for each model as the consistency phenotype. Consistency of milk yield was also calculated, as a reference, using the same methods (log-Var-Milk). Genetic parameters were estimated using an animal model, including lactation, days in milk and cohort as fixed effects, and animal as random effect. Relationships between log-Var-DMI and traits currently considered in the US national genetic evaluation were evaluated using Spearman's rank correlations between sires' breeding values. Heritability estimates for log-Var-DMI ranged from 0.11 ± 0.02 to 0.14 ± 0.02 across models. Different methods (simple average, quantile regressions, and LOESS regressions) used to calculate log-Var-DMI yielded very similar results, with genetic correlations ranging from 0.94 to 0.99. Estimated genetic correlations between log-Var-DMI and log-Var-Milk ranged from 0.51 to 0.62. Estimated genetic correlations between log-Var-DMI and feed efficiency ranged from 0.55 to 0.60 with secreted milk energy, from 0.59 to 0.63 with metabolic body weight, and from 0.26 to 0.31 with residual feed intake (RFI). Relationships between log-Var-DMI and the traits in the national genetic evaluation were moderate and positive correlations with milk yield (0.20 to 0.21), moderate and negative correlations with female fertility (-0.07 to -0.20), no significant correlations with health and longevity, and favorable correlations with feed efficiency (-0.23 to -0.25 with feed saved and 0.21 to 0.26 with RFI). We concluded that DMI consistency is heritable and may be an indicator of resilience. Cows with lower variation in the difference between actual and expected daily DMI (more consistency) may be more effective in maintaining performance in the face of challenges or perturbations, whereas cows with greater variation in observed versus expected daily DMI (less consistency) are less feed efficient and may be less resilient.
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Affiliation(s)
- Ligia Cavani
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
| | | | - Ransom L Baldwin
- Animal Genomics and Improvement Laboratory, ARS, USDA, Beltsville, MD 20705
| | - José E P Santos
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - James E Koltes
- Department of Animal Science, Iowa State University, Ames, IA 50011
| | - Robert J Tempelman
- Department of Animal Science, Michigan State University, East Lansing, MI 48824
| | - Michael J VandeHaar
- Department of Animal Science, Michigan State University, East Lansing, MI 48824
| | - Heather M White
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706
| | - Francisco Peñagaricano
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706
| | - Kent A Weigel
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706
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19
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Hou H, Wang X, Li X, Cai X, Tu Y, Yang C, Yao J. Genome-wide association study of growth traits and validation of key mutations (MSTN c.C861T) associated with the muscle mass of meat pigeons. Anim Genet 2024; 55:110-122. [PMID: 38069460 DOI: 10.1111/age.13382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/03/2023] [Accepted: 11/21/2023] [Indexed: 01/04/2024]
Abstract
Selective breeding of meat pigeons is primarily based on growth traits, especially muscle mass (MM). Identification of functional genes and molecular markers of growth and slaughter traits through a genome-wide association study (GWAS) will help to elucidate the underlying molecular mechanisms and provide a theoretical basis for the selective breeding of meat pigeons. The phenotypic data of body weight (BW) and body size (BS) of 556 meat pigeons at 52 and 80 weeks of age were collected. In total, 160 434 high-quality single nucleotide polymorphism sites were obtained by restriction site-associated DNA sequencing. The GWAS analysis revealed that MSTN, IGF2BP3 and NCAPG/LCORL were important candidate genes affecting the growth traits of meat pigeons. IGF2BP3 and NCAPG/LCORL were highly correlated to BW and BS, which are related to overall growth and development, while MSTN was associated with pectoral thickness and BW. Phenotypic association validation with the use of two meat pigeon populations found that the MSTN mutation c.C861T determines the MM. These results provide new insights into the genetic mechanisms underlying phenotypic variations of growth traits and MM in commercial meat pigeons. The identified markers and genes provide a theoretical basis for the selective breeding of meat pigeons.
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Affiliation(s)
- Haobin Hou
- Shanghai Academy of Agricultural Sciences, Shanghai, China
- National Poultry Engineer Research Center, Shanghai, China
| | - Xiaoliang Wang
- Shanghai Academy of Agricultural Sciences, Shanghai, China
- National Poultry Engineer Research Center, Shanghai, China
| | - Xin Li
- Shanghai Academy of Agricultural Sciences, Shanghai, China
- National Poultry Engineer Research Center, Shanghai, China
| | - Xia Cai
- Shanghai Academy of Agricultural Sciences, Shanghai, China
- National Poultry Engineer Research Center, Shanghai, China
| | - Yingying Tu
- National Poultry Engineer Research Center, Shanghai, China
| | - Changsuo Yang
- Shanghai Academy of Agricultural Sciences, Shanghai, China
- National Poultry Engineer Research Center, Shanghai, China
| | - Junfeng Yao
- Shanghai Academy of Agricultural Sciences, Shanghai, China
- National Poultry Engineer Research Center, Shanghai, China
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20
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Hua J, Zhong C, Chen W, Fu J, Wang J, Wang Q, Zhu G, Li Y, Tao Y, Zhang M, Dong Y, Lu S, Liu W, Qiang J. Single nucleotide polymorphism SNP19140160 A > C is a potential breeding locus for fast-growth largemouth bass (Micropterus salmoides). BMC Genomics 2024; 25:64. [PMID: 38229016 DOI: 10.1186/s12864-024-09962-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/02/2024] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Largemouth bass (Micropterus salmoides) has significant economic value as a high-yielding fish species in China's freshwater aquaculture industry. Determining the major genes related to growth traits and identifying molecular markers associated with these traits serve as the foundation for breeding strategies involving gene pyramiding. In this study, we screened restriction-site associated DNA sequencing (RAD-seq) data to identify single nucleotide polymorphism (SNP) loci potentially associated with extreme growth differences between fast-growth and slow-growth groups in the F1 generation of a largemouth bass population. RESULTS We subsequently identified associations between these loci and specific candidate genes related to four key growth traits (body weight, body length, body height, and body thickness) based on SNP genotyping. In total, 4,196,486 high-quality SNPs were distributed across 23 chromosomes. Using a population-specific genotype frequency threshold of 0.7, we identified 30 potential SNPs associated with growth traits. Among the 30 SNPs, SNP19140160, SNP9639603, SNP9639605, and SNP23355498 showed significant associations; three of them (SNP9639603, SNP9639605, and SNP23355498) were significantly associated with one trait, body length, in the F1 generation, and one (SNP19140160) was significantly linked with four traits (body weight, height, length, and thickness) in the F1 generation. The markers SNP19140160 and SNP23355498 were located near two growth candidate genes, fam174b and ppip5k1b, respectively, and these candidate genes were closely linked with growth, development, and feeding. The average body weight of the group with four dominant genotypes at these SNP loci in the F1 generation population (703.86 g) was 19.63% higher than that of the group without dominant genotypes at these loci (588.36 g). CONCLUSIONS Thus, these four markers could be used to construct a population with dominant genotypes at loci related to fast growth. These findings demonstrate how markers can be used to identify genes related to fast growth, and will be useful for molecular marker-assisted selection in the breeding of high-quality largemouth bass.
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Grants
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- No. JBGS [2021] 130 Project of Seed Industry Revitalization in Jiangsu Province, China
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- 2022-ZYXT-07 Major Technology Collaborative Promotion Plan for Largemouth bass Industry in Jiangsu Province
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- NO. 2023JBFR02 the central public-interest scientific institution basal research fund, freshwater fisheries research center, CAFS
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
- No. SNG2021009 the Suzhou Science and Technology Program
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Affiliation(s)
- Jixiang Hua
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, China
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Chunyi Zhong
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, China
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Wenhua Chen
- Suzhou Aquatic Technology Extension Station, Suzhou, 215004, China
| | - Jianjun Fu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Jian Wang
- Guangxi Xinjian Investment Group Limited Company, Hechi, 530201, China
| | - Qingchun Wang
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, China
| | - Geyan Zhu
- Suzhou Aquatic Technology Extension Station, Suzhou, 215004, China
| | - Yan Li
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Yifan Tao
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Maoyou Zhang
- Suzhou Aquatic Technology Extension Station, Suzhou, 215004, China
| | - Yalun Dong
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Siqi Lu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Wenting Liu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Jun Qiang
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, China.
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China.
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21
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Hibberd MC, Webber DM, Rodionov DA, Henrissat S, Chen RY, Zhou C, Lynn HM, Wang Y, Chang HW, Lee EM, Lelwala-Guruge J, Kazanov MD, Arzamasov AA, Leyn SA, Lombard V, Terrapon N, Henrissat B, Castillo JJ, Couture G, Bacalzo NP, Chen Y, Lebrilla CB, Mostafa I, Das S, Mahfuz M, Barratt MJ, Osterman AL, Ahmed T, Gordon JI. Bioactive glycans in a microbiome-directed food for children with malnutrition. Nature 2024; 625:157-165. [PMID: 38093016 PMCID: PMC10764277 DOI: 10.1038/s41586-023-06838-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 11/06/2023] [Indexed: 12/26/2023]
Abstract
Evidence is accumulating that perturbed postnatal development of the gut microbiome contributes to childhood malnutrition1-4. Here we analyse biospecimens from a randomized, controlled trial of a microbiome-directed complementary food (MDCF-2) that produced superior rates of weight gain compared with a calorically more dense conventional ready-to-use supplementary food in 12-18-month-old Bangladeshi children with moderate acute malnutrition4. We reconstructed 1,000 bacterial genomes (metagenome-assembled genomes (MAGs)) from the faecal microbiomes of trial participants, identified 75 MAGs of which the abundances were positively associated with ponderal growth (change in weight-for-length Z score (WLZ)), characterized changes in MAG gene expression as a function of treatment type and WLZ response, and quantified carbohydrate structures in MDCF-2 and faeces. The results reveal that two Prevotella copri MAGs that are positively associated with WLZ are the principal contributors to MDCF-2-induced expression of metabolic pathways involved in utilizing the component glycans of MDCF-2. The predicted specificities of carbohydrate-active enzymes expressed by their polysaccharide-utilization loci are correlated with (1) the in vitro growth of Bangladeshi P. copri strains, possessing varying degrees of polysaccharide-utilization loci and genomic conservation with these MAGs, in defined medium containing different purified glycans representative of those in MDCF-2, and (2) the levels of faecal carbohydrate structures in the trial participants. These associations suggest that identifying bioactive glycan structures in MDCFs metabolized by growth-associated bacterial taxa will help to guide recommendations about their use in children with acute malnutrition and enable the development of additional formulations.
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Affiliation(s)
- Matthew C Hibberd
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Daniel M Webber
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Dmitry A Rodionov
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Suzanne Henrissat
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
- Architecture et Fonction des Macromolécules Biologiques, CNRS, Aix-Marseille University, Marseille, France
| | - Robert Y Chen
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
| | - Cyrus Zhou
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
| | - Hannah M Lynn
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
| | - Yi Wang
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
| | - Hao-Wei Chang
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
| | - Evan M Lee
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
| | - Janaki Lelwala-Guruge
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
| | - Marat D Kazanov
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey
| | - Aleksandr A Arzamasov
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Semen A Leyn
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Vincent Lombard
- Architecture et Fonction des Macromolécules Biologiques, CNRS, Aix-Marseille University, Marseille, France
| | - Nicolas Terrapon
- Architecture et Fonction des Macromolécules Biologiques, CNRS, Aix-Marseille University, Marseille, France
| | - Bernard Henrissat
- Department of Biotechnology and Biomedicine (DTU Bioengineering), Technical University of Denmark, Lyngby, Denmark
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Juan J Castillo
- Department of Chemistry, University of California, Davis, Davis, CA, USA
| | - Garret Couture
- Department of Chemistry, University of California, Davis, Davis, CA, USA
| | - Nikita P Bacalzo
- Department of Chemistry, University of California, Davis, Davis, CA, USA
| | - Ye Chen
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
- Department of Chemistry, University of California, Davis, Davis, CA, USA
| | - Carlito B Lebrilla
- Department of Chemistry, University of California, Davis, Davis, CA, USA
| | - Ishita Mostafa
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Subhasish Das
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Mustafa Mahfuz
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Michael J Barratt
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Andrei L Osterman
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Tahmeed Ahmed
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Jeffrey I Gordon
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA.
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St Louis, MO, USA.
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA.
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22
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da Silva Morales D, Silva DO, Ayres DR, Junior MLS, Bignardi AB, Ventura RV, de Oliveira Menezes GR, Carvalheiro R, Piccoli ML, Roso VM, Pereira RJ. Genetic associations between stayability to consecutive calvings and traits of economic interest in taurine and zebu breeds. J Anim Breed Genet 2024; 141:83-95. [PMID: 37789663 DOI: 10.1111/jbg.12827] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 09/18/2023] [Accepted: 09/20/2023] [Indexed: 10/05/2023]
Abstract
Stayability (STAY) is a way to evaluate the productive longevity of females. Measuring the STAY at each cow calving allows earlier indicators of longevity to be obtained. Our objective with this study was to verify the association between STAY and consecutive calvings and traits potentially used as selection criteria in beef cattle, such as age at first calving (AFC), days to calving (DC), weaning weight (WW), and yearling weight (YW). Data from the Nelore, Angus/Brangus, and Hereford/Braford breeds were used. The estimation of variance components and subsequent prediction of breeding values were performed for all traits. The estimated breeding values (EBV) were used to analyse the association between STAY and the other traits. The Pearson's correlation estimated between the EBV for the intercept coefficient for STAY to consecutive calvings and those of AFC, DC, WW (direct and maternal effects), and YW was favourable and of low magnitude (<0.25) depending on the breed studied. The influence of the genetic merit of AFC on the chance of selection for STAY was favourable and relevant regardless of the intensity of selection and breed. DC and WW (maternal effect) traits were favourably influenced by the chance of selection for STAY, irrespective of breed. The WW (direct effect) did not affect the chance of selection for STAY for the Nelore and Hereford/Braford breeds and negatively influenced, but to a small extent, the Angus/Brangus breed. For YW, an increase in genetic merit affected the chances of selection for STAY, depending on the breed and selection intensity evaluated. The influence of the genetic merit for AFC, DC, and WW (maternal effect) on the chance of selection for STAY to consecutive calvings was favourable and relevant regardless of the selection intensity scenario evaluated. The WW (direct effect) did not influence the chance of selection for STAY. For the scenario with high selection intensity, the selection for YW favourably influenced the chance of selection for STAY in Angus/Brangus and Hereford/Braford breeds but not in Nelore.
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Affiliation(s)
- Débora da Silva Morales
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Universidade Federal de Rondonopolis, Rondonópolis, Brazil
| | - Diogo Osmar Silva
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Universidade Federal de Rondonopolis, Rondonópolis, Brazil
| | - Denise Rocha Ayres
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Universidade Federal de Rondonopolis, Rondonópolis, Brazil
| | - Mário Luiz Santana Junior
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Universidade Federal de Rondonopolis, Rondonópolis, Brazil
| | - Annaiza Braga Bignardi
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Universidade Federal de Rondonopolis, Rondonópolis, Brazil
| | - Ricardo Vieira Ventura
- Universidade de São Paulo (USP)-Faculdade de Medicina Veterinário e Zootecnia (FMVZ), Pirassununga, Brazil
| | | | - Roberto Carvalheiro
- School of Agricultural and Veterinarian Sciences, São Paulo State University (UNESP), Jaboticabal, Brazil
| | | | | | - Rodrigo Junqueira Pereira
- Grupo de Melhoramento Animal de Mato Grosso (GMAT), Universidade Federal de Rondonopolis, Rondonópolis, Brazil
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Alboali H, Moradi MH, Khaltabadi Farahani AH, Mohammadi H. Genome-wide association study for body weight and feed consumption traits in Japanese quail using Bayesian approaches. Poult Sci 2024; 103:103208. [PMID: 37980758 PMCID: PMC10663954 DOI: 10.1016/j.psj.2023.103208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 11/21/2023] Open
Abstract
The aim of this study was to perform a genome-wide association study (GWAS) based on Bayes A and Bayes B statistical methods to identify genomic loci and candidate genes associated with body weight gain, feed intake, and feed conversion ratio in Japanese quail. For this purpose, genomic data obtained from Illumina iSelect 4K quail SNP chip were utilized. After implementing various quality control steps, genotype data from a total of 875 birds for 2,015 SNP markers were used for subsequent analyses. The Bayesian analyses were performed using hibayes package in R (version 4.3.1) and Gibbs sampling algorithm. The results of the analyses showed that Bayes A accounted for 11.43, 11.65, and 11.39% of the phenotypic variance for body weight gain, feed intake, and feed conversion ratio, respectively, while the variance explained by Bayes B was 7.02, 8.61, and 6.48%, respectively. Therefore, in the current study, results obtained from Bayes A were used for further analyses. In order to perform the gene enrichment analysis and to identify the functional pathways and classes of genes that are over-represented in a large set of genes associated with each trait, all markers that accounted for more than 0.1% of the phenotypic variance for each trait were used. The results of this analysis revealed a total of 23, 38, and 14 SNP markers associated with body weight gain, feed intake, and feed conversion ratio in Japanese quail, respectively. The results of the gene enrichment analysis led to the identification of biological pathways (and candidate genes) related to lipid phosphorylation (TTC7A gene) and cell junction (FGFR4 and FLRT2 genes) associated with body weight gain, calcium signaling pathway (ADCY2 and CAMK1D genes) associated with feed intake, and glycerolipid metabolic process (LIPC gene), lipid metabolic process (ADGRF5 and ESR1 genes), and glutathione transferase (GSTK1 gene) associated with feed conversion ratio. Overall, the findings of this study can provide valuable insights into the genetic architecture of growth and feed consumption traits in Japanese quail.
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Affiliation(s)
- Hassan Alboali
- Department of Animal Science, Faculty of Agriculture and Environment, Arak University, 38156-8-8349 Arak, Iran
| | - Mohammad Hossein Moradi
- Department of Animal Science, Faculty of Agriculture and Environment, Arak University, 38156-8-8349 Arak, Iran.
| | | | - Hossein Mohammadi
- Department of Animal Science, Faculty of Agriculture and Environment, Arak University, 38156-8-8349 Arak, Iran
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Zhao X, Yan J, Chu H, Wu Z, Li W, Zhang Q, Zhang Y, Guo Y, Fan Z. The polymorphism of the ovine insulin like growth factor-2 (IGF2) gene and their associations with growth related traits in Tibetan sheep. Trop Anim Health Prod 2023; 56:19. [PMID: 38110604 DOI: 10.1007/s11250-023-03858-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 12/07/2023] [Indexed: 12/20/2023]
Abstract
In the current study, the role of the ovine IGF2 as a potential candidate gene was investigated as though marker-assisted selection in Chinese Tibetan sheep. The Sanger DNA sequencing method explored five single nucleotide polymorphisms (SNPs) in 5'UTR of the ovine IGF2 gene (C15640T, G15801A, G15870A, C15982G and G15991A) in Chinese Tibetan sheep. The frequencies of four SNPs were within the Hardy-Weinberg Equilibrium (chi-square test) except C15982G. The statistical analysis indicated that the C15640T and G15801A were significantly associated with body height, body length, chest circumference, and body weight (P < 0.05 or P < 0.01). Furthermore, C15982G variant exhibited significant correlation with the body weight (P < 0.01). These findings suggests that the promoter variants of IGF2 gene could be used as a candidate gene through marker-assisted selection for the body weight and body measurement traits in Tibetan sheep breeding program.
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Affiliation(s)
- Xianlin Zhao
- College of Pharmacy, Heze University, Heze, Shandong Province, 274000, People's Republic of China
| | - Jinyun Yan
- Gaoqing County Black Cattle Industry Development Center, Gaoqing County Bureau of Agriculture and Rural Affairs, Zibo, Shandong Province, 255000, People's Republic of China
| | - Hanping Chu
- College of Pharmacy, Heze University, Heze, Shandong Province, 274000, People's Republic of China
| | - Zhenling Wu
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai Province, 810016, People's Republic of China
| | - Wendi Li
- College of Pharmacy, Heze University, Heze, Shandong Province, 274000, People's Republic of China
| | - Qing Zhang
- College of Pharmacy, Heze University, Heze, Shandong Province, 274000, People's Republic of China
| | - Yu Zhang
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai Province, 810016, People's Republic of China
| | - Yanmin Guo
- College of Pharmacy, Heze University, Heze, Shandong Province, 274000, People's Republic of China.
| | - Zhaobin Fan
- College of Pharmacy, Heze University, Heze, Shandong Province, 274000, People's Republic of China.
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Balasundaram B, Muralidharan J, Murali N, Cauveri D, Raja A, Okpeku M, Thiruvenkadan AK. Development of selection strategies for genetic improvement in production traits of Mecheri sheep based on a Bayesian multi trait evaluation. PLoS One 2023; 18:e0289460. [PMID: 38096270 PMCID: PMC10721189 DOI: 10.1371/journal.pone.0289460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
The progression of genetic selection techniques to enhance farm animal performance traits is guided by the present level of genetic variation and maternal impact in each trait, as well as the genetic association between traits. This study was conducted on a population of Mecheri sheep maintained from 1980 to 2018 at Mecheri Sheep Research Station, Pottaneri, India, to determine variance and covariance components, as well as genetic parameters for various production performance traits. A total of 2616 lambs, produced by 1044 dams and 226 sires, were examined in the study and the production traits of Mecheri sheep assessed include birth weight (BW), weaning weight (WW), six-month weight (SMW), nine-month weight (NMW), and yearling weight (YW). The Bayesian approach, using the Gibbs sampler, analyzed six animal models with different combinations of additive direct and maternal additive effects. Direct genetics, maternal genetics, and residual effects models were the major contributors to total phenotypic variation for all the production traits studied. Direct heritability estimates of birth weight, WW, SMW, NMW, and YW were 0.25, 0.20, 0.12, 0.14, and 0.13, respectively. The maternal heritability estimated for BW, WW, SMW, NMW, and YW were 0.17, 0.10, 0.12, 0.14, and 0.14, respectively. The maternal effects had a major impact on the pre-weaning production traits. The genetic correlations estimated between different pairs of production traits studied ranged from 0.19 to 0.93. The body weight at birth exhibited a higher genetic relationship with weaning weight than post-weaning growth characteristics, and the genetic correlation between weaning weight and post-weaning attributes was moderate to high (0.52 to 0.72). Based on the additive genetic variance in weaning weight and the correlation estimates of weaning weight with post-weaning traits, weaning weight was proposed as a selection criterion for improving growth traits in Mecheri sheep.
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Affiliation(s)
- Balakrishnan Balasundaram
- Department of Animal Genetics and Breeding, Veterinary College and Research Institute, Tamil Nadu Veterinary and Animal Sciences University, Orathanadu, Tamil Nadu, India
| | - Jaganadhan Muralidharan
- Mecheri Sheep Research Station, Tamil Nadu Veterinary and Animal Sciences University, Salem, Tamil Nadu, India
| | - Nagarajan Murali
- Department of Animal Genetics and Breeding, Veterinary College and Research Institute, Tamil Nadu Veterinary and Animal Sciences University, Namakkal, Tamil Nadu, India
| | - Doraiswamy Cauveri
- Department of Animal Genetics and Breeding, Madras Veterinary College, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu, India
| | - Angamuthu Raja
- Department of Animal Genetics and Breeding, Veterinary College and Research Institute, Tamil Nadu Veterinary and Animal Sciences University, Namakkal, Tamil Nadu, India
| | - Moses Okpeku
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban, South Africa
| | - Aranganoor Kannan Thiruvenkadan
- Department of Animal Genetics and Breeding, Veterinary College and Research Institute, Tamil Nadu Veterinary and Animal Sciences University, Namakkal, Tamil Nadu, India
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Xu D, Wang X, Wang W, Zhang D, Li X, Zhang Y, Zhao Y, Cheng J, Zhao L, Wang J, Lin C, Yang X, Weng X, Zhang X, Zheng W. Detection of single nucleotide polymorphism in HTR4 and its relationship with growth traits in sheep. Anim Biotechnol 2023; 34:4600-4607. [PMID: 36780324 DOI: 10.1080/10495398.2023.2174877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
In this study, a single nucleotide polymorphism of HTR4 (hydroxytryptamine receptor 4) was detected using DNA sequencing and KASPar (Kompetitive Allele-Specific PCR) technique with the aim of analyzing its effect on growth traits in 1102 sheep. A synonymous mutation g.101220 C > T located on the fifth intron of the ovis HTR4 gene was detected, and association analysis showed that this mutation was significantly associated with growth traits in sheep (p <.05), with TT genotypes having significantly lower body weight, height, length and chest circumference than TC and CC genotypes. It showed that the polymorphism of this locus was significantly associated with growth traits in sheep. In addition, qRT-PCR results showed that HTR4 was expressed in different tissues of sheep. It is highly expressed in the liver, spleen and duodenum. As important metabolic, immune and digestive absorption organs in animals, the above tissues can regulate the excitability of intestinal smooth muscle by participating in the body metabolism and nutrient metabolism of sheep, so that sheep can show better growth characteristics. In conclusion, the polymorphic locus identified in HTR4 gene can be used as candidate molecular marker in sheep breeding.
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Affiliation(s)
- Dan Xu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiaojuan Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Weimin Wang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Deyin Zhang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Xiaolong Li
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Yukun Zhang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Yuan Zhao
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Jiangbo Cheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Liming Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Jianghui Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Changchun Lin
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiaobin Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiuxiu Weng
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Wenxin Zheng
- Institute of Animal Husbandry Quality Standards, Xinjiang Academy of Animal Sciences, Urumqi, Xinjiang, China
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27
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Mahmoud BY, Semida DA, El-Full EA, Emam AM. Genetic evaluation for survival traits in Japanese quail line selected for fast growth rate. Anim Biotechnol 2023; 34:2414-2419. [PMID: 35801402 DOI: 10.1080/10495398.2022.2094800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
The main objectives of this study were to estimate genetic parameters for the survival, longevity and evaluate risk factors for the occurrence of mortality in a Japanese quail line selected for high growth rate during the period from hatch to 21 days of age (GR1-21) for eight generations and its control. Total number of 1095, 2289 and 16,506 for sires, dams and progeny, respectively, was used to estimate genetic parameters, a separate hatch of 687 chicks was used to examine the risk factors of quails in the selected (SL, 438) and control (CL, 249) lines. The proportion of censored quails until 42 days of age was 82.20 and 87.14 for SL and CL, respectively. The CL showed higher longevity than SL (38.42 vs. 36.86 days). In the two tested lines, mortality% significantly declined when body weight at death increased, however, the CL had a higher reduction of mortality% than the SL (50 vs. 42%). Survival and longevity had low heritability values, low genetic and phenotypic correlations between survival and longevity with GR1-21 and ranging from 0.025 to 0.208. The survival tended to be less correlated with GR1-21 and body weight at marketing age than the longevity.
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Affiliation(s)
- Bothaina Y Mahmoud
- Poultry Production Department, Faculty of Agriculture, Fayoum University, Fayoum, Egypt
| | - Doaa A Semida
- Poultry Production Department, Faculty of Agriculture, Fayoum University, Fayoum, Egypt
| | - Ensaf A El-Full
- Poultry Production Department, Faculty of Agriculture, Fayoum University, Fayoum, Egypt
| | - Ahmed M Emam
- Poultry Production Department, Faculty of Agriculture, Fayoum University, Fayoum, Egypt
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28
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Zhai R, Wang W, Zhang D, Li X, Zhang Y, Zhao Y, Zhao L, Wang J, Xu D, Cheng J, Li W, Zhou B, Lin C, Zeng X, Yang X, Ma Z, Liu J, Cui P, Zhang XX. Novel polymorphism at KLF15 gene and its association with growth traits in Hu sheep. Anim Biotechnol 2023; 34:3287-3293. [PMID: 36346056 DOI: 10.1080/10495398.2022.2138413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Growth traits are important economic characteristics of livestock and poultry. In the present study, the expression features of KLF15 and the relationship between KLF15 gene polymorphisms and growth traits in Hu sheep were investigated by using real-time quantitative PCR technology (qPCR), Sanger sequencing, and Kaspar genotyping technology. The qPCR results showed that the KLF15 gene is expressed widely in the tested tissues of Hu sheep, and the expression level of the KLF15 gene in the heart and the muscle was significantly higher than in other tissues (p < 0.05). Missense mutation c.62565119 A > G was found in KLF15, and an association analysis showed that it was correlated with the growth traits (body weight, body height, and body length) of Hu sheep (p < 0.05). The body weight, body height, and body length of the sheep carrying the AA genotype were remarkably higher than those of the GG and AG genotypes (p < 0.05). These results showed that novel polymorphisms at the KLF15 gene can be used as a genetic marker of growth traits of Hu sheep.
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Affiliation(s)
- Rui Zhai
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Weimin Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Deyin Zhang
- The State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Xiaolong Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Yukun Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Yuan Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Liming Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Jianghui Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Dan Xu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Jiangbo Cheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Wenxin Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Bubo Zhou
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Changchun Lin
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Xiwen Zeng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Xiaobin Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Zongwu Ma
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Jia Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Panpan Cui
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Xiao Xue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
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Zuo P, Zhang C, Gao Y, Zhao L, Guo J, Yang Y, Yu Q, Li Y, Wang Z, Yang H. Genome-wide unraveling SNP pairwise epistatic effects associated with sheep body weight. Anim Biotechnol 2023; 34:3416-3427. [PMID: 36495095 DOI: 10.1080/10495398.2022.2152349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Epistatic effects are an important part of the genetic effect of complex traits in livestock. In this study, we used 218 synthetic ewes from the Xinjiang Academy of Agricultural Reclamation in China to identify interacting paired with genome-wide single nucleotide polymorphisms (SNPs) associated with birth weight, weaning weight, and one-yearling weight. We detected 2 and 66 SNP-SNP interactions of sheep birth weight and weaning weight, respectively. No significant epistatic interaction of one-year-old body weight was detected. The genetic interaction of sheep body weight is dynamic and time-dependent. Most significant interactions of weaning body weight contributed 1% or higher. In the weaning weight trait, 66 significant SNP pairs consisted of 98 single SNPs covering 23 chromosomes, 5 of which were nonsynonymous SNPs (nsSNPs), resulting in single amino acid substitution. We found that genes that interact with transcription factors (TFs) are target genes for the corresponding TFs. Four epitron networks affecting weaning weight, including subnetworks of HIVEP3 and BACH2 transcription factors, constructed using significant SNP pairs, were also analyzed and annotated. These results suggest that transcription factors may play an important role in explaining epistatic effects. It provides a new idea to study the genetic mechanism of weight developing.
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Affiliation(s)
- Peng Zuo
- College of Science, Northeast Agricultural University, Harbin
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Chaoxin Zhang
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yupeng Gao
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Engineering, Northeast Agricultural University, Harbin, China
| | - Lijunyi Zhao
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Information and Electrical Engineering, Northeast Agricultural University, Harbin, China
| | - Jiaxu Guo
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Life Sciences, Northeast Agricultural University, Harbin, China
| | - Yonglin Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China
| | - Qian Yu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China
| | - Yunna Li
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Zhipeng Wang
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China
| | - Hua Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China
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30
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Wen Y, Wang E, Wang X, Qing S, Chaogetu B, Wang C, Xu Z, Zhang Z, Huang Y. Copy number variations of LRRFIP1 gene and the relationship with growth traits in four Chinese sheep. Anim Biotechnol 2023; 34:3008-3015. [PMID: 36170043 DOI: 10.1080/10495398.2022.2126981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
CNVs (copy number variations) are the novel and common structural variants that could cover entire genes found in plenty of species. CNV may influence economically important traits or disease susceptibility in livestock species. Based on the whole genome resequencing results, we found that there was a CNV region on the LRRFIP1 gene. Then we used qPCR to detect the copy number type distribution in 553 individuals of four sheep breeds and used them for association analysis. The results showed that: (1) In the CKS, the sheep with gain type had a larger heart girth (p = 0.049). (2) For the HS, the CNV could significantly affect rump breadth (p = 0.037) and circumference of the cannon (p = 0.035). And the sheep with median type showed better performance in rump breadth and circumference of cannon. (3) At the STHS, the CNV was significantly correlated with chest width (p = 0.000) with loss type as the most favorable CNV type. Meanwhile, the best was the loss type, and the lowest was the median. (4) This CNV had no significant effect on the LTHS. So, the CNV of LRRFIP1 was related to the growth traits of these three sheep breeds and it may be used as a molecular marker for sheep.
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Affiliation(s)
- Yifan Wen
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Eryao Wang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Xianwei Wang
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan, China
| | - Si Qing
- Quality and Safety Inspection and Testing Center for Agricultural and Livestock Products of Haixi Mongolian and Tibetan Autonomous Prefecture, Delingha, Qinghai, China
| | - Buren Chaogetu
- Agricultural and Animal Husbandry Technology Promotion Service Center of Haixi Mongolian and Tibetan Autonomous Prefecture, Delingha, Qinghai, China
| | - Chenglin Wang
- Agricultural and Animal Husbandry Technology Promotion Service Center of Haixi Mongolian and Tibetan Autonomous Prefecture, Delingha, Qinghai, China
| | - Zejun Xu
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan, China
| | - Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
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31
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Lassen J, Thomasen JR, Borchersen S. Repeatabilities of individual measures of feed intake and body weight on in-house commercial dairy cattle using a 3-dimensional camera system. J Dairy Sci 2023; 106:9105-9114. [PMID: 37678774 DOI: 10.3168/jds.2022-23177] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 07/17/2023] [Indexed: 09/09/2023]
Abstract
In this study a 3-dimensional (3D) camera system was set up to measure individual feed intake of dairy cows in a commercial in-house setting. The system was developed to identify the cows while eating, predict body weight based on the curvature of the back of the cow, and quantify the amount of feed eaten by the cow at each visit of eating. The identification of the cow was based on recognizing the patterns, colors, and curvatures of the back from a reference database obtained in a corridor after milking, where images were taken of all cows with a simultaneous reading of the electronic ear tag. Body weight is predicted using the curvatures of the back of the cow. Feed intake is quantified as the difference in surface of the feed a cow can reach before and after a visit is initiated. This estimate is in liters but converted to kilograms, using the density of the feed in the specific herd. A total of 9,142 cows were measured in 19 herds across 3 breeds: Jersey (2,513 cows), Red Dairy Cattle (2,813 cows), and Holstein (3,816 cows). Mean daily feed intake was higher for Red Dairy Cattle (61.72 kg) and Holstein (64.59 kg) than for Jersey (55.74 kg). Repeatability estimates for daily feed intake as a weekly average was 0.62, 0.65, and 0.63 for Jersey, Red Dairy, and Holstein cattle, respectively. Mean body weight was higher for Red Dairy (647.9 kg) and Holstein (683.8 kg) than for Jersey (469.6 kg). Repeatability estimates for body weight as a weekly average was 0.83, 0.85, and 0.88 for Jersey, Red Dairy, and Holstein, respectively. The perspectives in having such records available is huge both for the farmer and for the dairy industry. The records can both be used for improving management in farms on an individual cow level and herd level, but also for genetic evaluation and selection as well as testing feeding regimens. Feed intake can be measured on an individual level using a 3D camera system.
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Affiliation(s)
- J Lassen
- VikingGenetics, Ebeltoftvej 16, 8960 Randers, Denmark.
| | - J R Thomasen
- VikingGenetics, Ebeltoftvej 16, 8960 Randers, Denmark
| | - S Borchersen
- VikingGenetics, Ebeltoftvej 16, 8960 Randers, Denmark
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Talebi R, Ghaffari MR, Fabre S, Mardi M, Kazemi Alamouti M. Comparison of the growth performance between pure Moghani sheep and crosses with Texel or Booroola sheep carrying major genes contributing to muscularity and prolificacy. Anim Biotechnol 2023; 34:3495-3506. [PMID: 36633454 DOI: 10.1080/10495398.2023.2165933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
This study aimed to compare growth performance between Moghani sheep and crossbred lambs resulting from crossbreeding between Moghani pure breed ewes and the lines of rams e.g., Texel Tamlet, Texel Dalzell, Booroola Merino, and Booroola Romney. The first visible phenotypic characteristic was the presence of lean tail in all F1 crossbred lambs, whereas Moghani pure sheep is a well-known large fat-tailed breed. Moreover, the first generation of backcross (BC1) lambs from mating four types of F1 crossbred rams with Moghani pure ewes revealed lean-tailed to short fat-tailed. Comparative results showed that the F1 crossbred lambs had significantly (p < 0.0001) greater birth weight (BW) than the Moghani pure breed lambs. Despite no significant differences observed between Moghani pure breed sheep and its F1 crossbred lambs for body weight at pre-weaning, but F1 crossbred lambs achieved significantly (p < 0.0001) greater body weight after weaning compared to Moghani sheep. The growth performance of BC1 lambs was outperformed than F1 crossbred and Moghani sheep. These results encourage the continuation of the Moghani sheep crossbreeding programs to improve overall lamb growth, particularly post-weaning and to benefit from a better reproductive efficiency by elimination or reduction of the fat tail.
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Affiliation(s)
- Reza Talebi
- Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
- Department of Animal Sciences, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran
| | - Mohammad Reza Ghaffari
- Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Stéphane Fabre
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan, France
| | - Mohsen Mardi
- Seed and Plant Certification and Registration Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Mehrbano Kazemi Alamouti
- Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
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Aljubouri TRS, Al-Shuhaib MBS. A missense SNP in the proopiomelanocortin (POMC) gene is associated with growth traits in Awassi and Karakul sheep. Anim Biotechnol 2023; 34:4837-4850. [PMID: 37071507 DOI: 10.1080/10495398.2023.2197469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
This study was conducted to assess the association between proopiomelanocortin (POMC) gene and growth traits in Awassi and Karakul sheep. PCR-single strand conformation polymorphism (SSCP) method was utilized to assess the polymorphism of POMC PCR amplicons with body weight and length, wither and rump height, chest and abdominal circumference measured at birth, 3, 6, 9, and 12 months intervals. Only one missense SNP (rs424417456:C > A) was detected in exon-2, in which glycine was converted to cysteine in the 65th position in POMC (p.65Gly > Cys). rs424417456 SNP showed significant associations with all growth traits in the third, sixth, ninth, and twelfth months. At the age of 3 months onward, lambs with CC genotype showed higher body weight, body length, wither and rump heights, and chest and abdominal circumferences than lambs with CA and AA genotypes, respectively. Prediction analyses indicated a deleterious effect of p.65Gly > Cys on POMC structure, function, and stability. Owing to the strong correlation between rs424417456:CC and better growth characteristics, this genotype is proposed as a promising marker to enhance growth traits in Awassi and Karakul sheep. The predicted damaging effects caused by rs424417456:CA and rs424417456:AA genotypes may entail a putative mechanism through which lambs with these genotypes exhibit lower growth traits.
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Affiliation(s)
- Thamer R S Aljubouri
- Department of Animal Production, College of Agriculture, Al-Qasim Green University, Babil, Iraq
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Alipanah M, Roudbari Z, Momen M, Esmailizadeh A. Impact of inclusion non-additive effects on genome-wide association and variance's components in Scottish black sheep. Anim Biotechnol 2023; 34:3765-3773. [PMID: 37343283 DOI: 10.1080/10495398.2023.2224845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/23/2023]
Abstract
CONTEXT It's well-documented that most economic traits have a complex genetic structure that is controlled by additive and non-additive gene actions. Hence, knowledge of the underlying genetic architecture of such complex traits could aid in understanding how these traits respond to the selection in breeding and mating programs. Computing and having estimates of the non-additive effect for economic traits in sheep using genome-wide information can be important because; non-additive genes play an important role in the prediction accuracy of genomic breeding values and the genetic response to the selection. AIM This study aimed to assess the impact of non-additive effects (dominance and epistasis) on the estimation of genetic parameters for body weight traits in sheep. METHODS This study used phenotypic and genotypic belonging to 752 Scottish Blackface lambs. Three live weight traits considered in this study were included in body weight at 16, 20, and 24 weeks). Three genetic models including additive (AM), additive + dominance (ADM), and additive + dominance + epistasis (ADEM), were used. KEY RESULTS The narrow sense heritability for weight at 16 weeks of age (BW16) were 0.39, 0.35, and 0.23, for 20 weeks of age (BW20) were 0.55, 0.54, and 0.42, and finally for 24 weeks of age (BW24) were 0.16, 0.12, and 0.02, using the AM, ADM, and ADEM models, respectively. The additive genetic model significantly outperformed the non-additive genetic model (p < 0.01). The dominance variance of the BW16, BW20, and BW24 accounted for 38, 6, and 30% of the total phenotypic, respectively. Moreover, the epistatic variance accounted for 39, 0.39, and 47% of the total phenotypic variances of these traits, respectively. In addition, our results indicated that the most important SNPs for live weight traits are on chromosomes 3 (three SNPS including s12606.1, OAR3_221188082.1, and OAR3_4106875.1), 8 (OAR8_16468019.1, OAR8_18067475.1, and OAR8_18043643.1), and 19 (OAR19_18010247.1), according to the genome-wide association analysis using additive and non-additive genetic model. CONCLUSIONS The results emphasized that the non-additive genetic effects play an important role in controlling body weight variation at the age of 16-24 weeks in Scottish Blackface lambs. IMPLICATIONS It is expected that using a high-density SNP panel and the joint modeling of both additive and non-additive effects can lead to better estimation and prediction of genetic parameters.
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Affiliation(s)
- Masoud Alipanah
- Department of Plant Production, University of Torbat Heydarieh, Torbat-e Heydarieh, Iran
| | - Zahra Roudbari
- Department of Animal Science, University of Jiroft, Jiroft, Iran
| | - Mehdi Momen
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Ali Esmailizadeh
- Department of Animal Science, Shahid Bahonar University of Kerman, Kerman, Iran
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Alex P, Kanakkaparambil R, Gopalakrishnan R, Ramasamy C, Thazhathuveettil A. The effect of insulin-like growth factor 1 receptor gene single nucleotide polymorphism on growth and milk production traits in two native Indian tropical goat breeds. Anim Biotechnol 2023; 34:4828-4836. [PMID: 37029727 DOI: 10.1080/10495398.2023.2197468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2023]
Abstract
Insulin like growth factor1(IGF-1) is an essential growth factor that mediates the growth-promoting functions of pituitary growth hormone. Insulin like growth factor 1 receptor (IGF1R) is a tyrosine kinase receptor that mediates the actions of IGF1. Therefore, IGF1R is a candidate gene for examining SNPs linked with growth and production traits. The objective of this study was to detect the c.546 + 179170A > T transversion in intron 2 of the gene encoding IGF1R in two goat breeds, Attappady Black and Malabari, and examine the association of this polymorphism with growth and milk production. For the identification of the SNP, the T-ARMS-PCR was utilized. All three genotypes were present in the two investigated breeds. The polymorphism was found to be significantly (p < 0.05) linked with growth traits. At birth, 3 and 6 months of age, Attappady goats with the AT genotype had significantly (p < 0.05) higher body weights than those with the AA and TT genotypes. Malabari goats with the AT genotype had significantly (p < 0.05) higher body weights at birth and at 3 months of age. The genotypes of the IGF1R gene had no effect on total or peak milk production. Therefore, this SNP could be used as a molecular marker in selection of meat-producing goat breeds.HIGHLIGHTSc.546 + 179170A > T IGF1R transversion was detected using T-ARMS-PCR in two indigenous goat breeds from Kerala.Attappady Black and Malabari goat breeds of Kerala possessed all the three genotypesIn these breeds, there was a significant correlation between this SNP, c.546 + 179170A > T IGF1R, and body weight.In both the breeds, there was no association between this SNP and milk production traits.
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Affiliation(s)
- Philip Alex
- School of Applied Animal Production and Biotechnology, College of Veterinary and Animal Sciences, Kerala Veterinary and Animal Sciences University, Thrissur, India
| | - Raji Kanakkaparambil
- Department of Veterinary Physiology, College of Veterinary and Animal Sciences, Kerala Veterinary and Animal Sciences University, Wayanad, India
| | - Radhika Gopalakrishnan
- Department of Animal Breeding, Genetics and Biostatistics, College of Veterinary and Animal Sciences, Thrissur, India
| | - Chitra Ramasamy
- Department of Animal Genetics and Breeding, Veterinary College and Research Institute, Tamil Nadu Veterinary and Animal Sciences University, Salem, India
| | - Aravindakshan Thazhathuveettil
- School of Applied Animal Production and Biotechnology, College of Veterinary and Animal Sciences, Kerala Veterinary and Animal Sciences University, Thrissur, India
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Cheng J, Wang W, Zhang D, Zhang Y, Li X, Zhao Y, Xu D, Zhao L, Li W, Wang J, Zhou B, Lin C, Yang X, Zhang X. Identification of polymorphic loci in OSMR and GHR genes and analysis of their association with growth traits in sheep. Anim Biotechnol 2023; 34:2546-2553. [PMID: 35913774 DOI: 10.1080/10495398.2022.2105227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
The aim of this study was to analyze the effect of OSMR and GHR genes polymorphisms on growth traits in sheep. The single nucleotide polymorphisms of sheep OSMR and GHR genes were identified by DNA sequencing technology. A total of two intronic mutations g.2443 T > C and g.170196 A > G were identified in OSMR and GHR, respectively. Correlation analysis was carried out between the obtained genotypes and the growth traits of sheep. The results showed that at the OSMR g.2443 T > C locus, the body weight, chest circumference and cannon circumference of the TT genotype sheep were significantly higher than those of the CC genotype sheep (p < .05). At the GHR g.170196 A > G locus, the body weight, body length, chest circumference and cannon circumference of the AA genotype sheep were significantly higher than those of the AG genotype and GG genotype sheep (p < .05). Moreover, the body weight of sheep of combination TTOSMR/AAGHR genotype was significantly higher than that of other combination genotypes (p < .05). Therefore, we believe that the polymorphic sites identified in the OSMR and GHR genes can be used as candidate molecular markers for breeding good traits in sheep.
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Affiliation(s)
- Jiangbo Cheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Weimin Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Deyin Zhang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Yukun Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiaolong Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Yuan Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Dan Xu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Liming Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Wenxin Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Jianghui Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Bubo Zhou
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Changchun Lin
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiaobin Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
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Sanad SE, Reda FM, Ashour EA, El Nagar AG. Genetic analysis of post-weaning growth traits in a simple crossbreeding experiment between Gabali and Hyplus line rabbits. Anim Biotechnol 2023; 34:4448-4456. [PMID: 36520025 DOI: 10.1080/10495398.2022.2155832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
A simple crossbreeding experiment between Gabali (G) bucks and Hyplus (H) does was performed to estimate crossbreeding effects for post-weaning growth traits (body weight at 5 (BW5), 7 (BW7), 9 (BW9), 11 (BW11), and 13 (BW13) weeks of age and daily weight gains (DG) during (DG5-7), (DG7-9), (DG9-11), (DG11-13) and (DG5-13), weeks of age). Estimates of heritability were mostly low or moderate for growth traits and ranged from 0.12 to 0.35 for body weights and 0.05 to 0.66 for daily weight gains. The percentages of direct additive genetic effects on body weights favored (p ≤ 0.01) the Gabali breed by 22.1, 31.2, 32.8, 31.1, and 25.2% at 5, 7, 9, 11, and 13 weeks and by 35.4, 38.1, 21.9, 3.7, and 27% for DG5-7, DG7-9, DG9-11, DG11-13, and DG5-13, respectively. The percentages of maternal effects ranged from 22 to 34.8% for body weights and ranged from 4.7 to 43.4% for daily weight gains. The percentages of direct heterosis were significantly positive by 11, 19.1, 20.3, 19.7, and 16.5% for body weights at 5, 7, 9, 11, and 13 weeks and by 25.6, 27.2, 17.3, 3.5, and 17.9% for DG5-7, DG7-9, DG9-11, DG11-13, and DG5-13, respectively. These results suggest that the Gabali breed could be used as a sire-group and the Hyplus line could be used as a dam-group to create new high growth rabbit lines in Egypt.
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Affiliation(s)
- S E Sanad
- Poultry Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - F M Reda
- Poultry Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - E A Ashour
- Poultry Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - Ayman G El Nagar
- Department of Animal Production, Faculty of Agriculture, Benha University, Toukh, Egypt
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Ma Z, Chang Y, Brito LF, Li Y, Yang T, Wang Y, Yang N. Multitrait meta-analyses identify potential candidate genes for growth-related traits in Holstein heifers. J Dairy Sci 2023; 106:9055-9070. [PMID: 37641329 DOI: 10.3168/jds.2023-23462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 06/20/2023] [Indexed: 08/31/2023]
Abstract
Understanding the underlying pleiotropic relationships among growth and body size traits is important for refining breeding strategies in dairy cattle for optimal body size and growth rate. Therefore, we performed single-trait GWAS for monthly-recorded body weight (BW), hip height, body length, and chest girth from birth to 12 mo of age in Holstein animals, followed by stepwise multiple regression of independent or lowly-linked markers from GWAS loci using conditional and joint association analyses (COJO). Subsequently, we conducted a multitrait meta-analysis to detect pleiotropic markers. Based on the single-trait GWAS, we identified 170 significant SNPs, in which 59 of them remained significant after the COJO analyses. The most significant SNP, located at BTA7:3,676,741, explained 2.93% of the total phenotypic variance for BW6 (BW at 6 mo of age). We identified 17 SNPs with potential pleiotropic effects based on the multitrait meta-analyses, which resulted in 3 additional SNPs in comparison to those detected based on the single-trait GWAS. The identified quantitative trait loci regions overlap with genes known to influence human growth-related traits. According to positional and functional analyses, we proposed HMGA2, HNF4G, MED13L, BHLHE40, FRZB, DMP1, TRIB3, and GATAD2A as important candidate genes influencing the studied traits. The combination of single-trait GWAS and meta-analyses of GWAS results improved the efficiency of detecting associated SNPs, and provided new insights into the genetic mechanisms of growth and development in Holstein cattle.
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Affiliation(s)
- Z Ma
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China; Beijing Sunlon Livestock Development Co. Ltd., 100029, Beijing, China
| | - Y Chang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Y Li
- Beijing Sunlon Livestock Development Co. Ltd., 100029, Beijing, China
| | - T Yang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China
| | - Y Wang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China.
| | - N Yang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China.
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Chen F, Sarver DC, Saqib M, Zhou M, Aja S, Seldin MM, Wong GW. CTRP13 ablation improves systemic glucose and lipid metabolism. Mol Metab 2023; 78:101824. [PMID: 37844630 PMCID: PMC10598410 DOI: 10.1016/j.molmet.2023.101824] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/30/2023] [Accepted: 10/11/2023] [Indexed: 10/18/2023] Open
Abstract
OBJECTIVE Tissue crosstalk mediated by secreted hormones underlies the integrative control of metabolism. We previously showed that CTRP13/C1QL3, a secreted protein of the C1q family, can improve glucose metabolism and insulin action in vitro and reduce food intake and body weight in mice when centrally delivered. A role for CTRP13 in regulating insulin secretion in isolated islets has also been demonstrated. It remains unclear, however, whether the effects of CTRP13 on cultured cells and in mice reflect the physiological function of the protein. Here, we use a loss-of-function mouse model to address whether CTRP13 is required for metabolic homeostasis. METHODS WT and Ctrp13 knockout (KO) mice fed a standard chow or a high-fat diet were subjected to comprehensive metabolic phenotyping. Transcriptomic analyses were carried out on visceral and subcutaneous fat, liver, and skeletal muscle to identify pathways altered by CTRP13 deficiency. RNA-seq data was further integrated with the Metabolic Syndrome in Man (METSIM) cohort data. Adjusted regression analysis was used to demonstrate that genetic variation of CTRP13 expression accounts for a significant proportion of variance between differentially expressed genes (DEGs) in adipose tissue and metabolic traits in humans. RESULTS Contrary to expectation, chow-fed Ctrp13-KO male mice had elevated physical activity, lower body weight, and improved lipid handling. On a high-fat diet (HFD), Ctrp13-KO mice of either sex were consistently more active and leaner. Loss of CTRP13 reduced hepatic glucose output and improved glucose tolerance, insulin sensitivity, and triglyceride clearance, though with notable sex differences. Consistent with the lean phenotype, transcriptomic analyses revealed a lower inflammatory profile in visceral fat and liver. Reduced hepatic steatosis was correlated with the suppression of lipid synthesis and enhanced lipid catabolism gene expression. Visceral fat had the largest number of DEGs and mediation analyses on the human orthologs of the DEGs suggested the potential causal contribution of CTRP13 to human metabolic syndrome. CONCLUSIONS Our results suggest that CTRP13 is a negative metabolic regulator, and its deficiency improves systemic metabolic profiles. Our data also suggest the reduction in circulating human CTRP13 levels seen in obesity and diabetes may reflect a compensatory physiologic response to counteract insulin resistance.
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Affiliation(s)
- Fangluo Chen
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Center for Metabolism and Obesity Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dylan C Sarver
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Center for Metabolism and Obesity Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Muzna Saqib
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Center for Metabolism and Obesity Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mingqi Zhou
- Department of Biological Chemistry, University of California, Irvine, Irvine, USA; Center for Epigenetics and Metabolism, University of California, Irvine, Irvine, USA
| | - Susan Aja
- Center for Metabolism and Obesity Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marcus M Seldin
- Department of Biological Chemistry, University of California, Irvine, Irvine, USA; Center for Epigenetics and Metabolism, University of California, Irvine, Irvine, USA
| | - G William Wong
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Center for Metabolism and Obesity Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Rouabhi Y, Guo DF, Zhao Y, Rahmouni K. Metabolic consequences of skeletal muscle- and liver-specific BBSome deficiency. Am J Physiol Endocrinol Metab 2023; 325:E711-E722. [PMID: 37909854 PMCID: PMC10864019 DOI: 10.1152/ajpendo.00174.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 10/04/2023] [Accepted: 10/19/2023] [Indexed: 11/03/2023]
Abstract
The BBSome is a protein complex composed of eight Bardet-Biedl syndrome (BBS) proteins including BBS1. Humans and mice lacking a functional BBSome display obesity and type 2 diabetes, highlighting the importance of this protein complex for metabolic regulation. However, the contribution of the BBSome in insulin-sensitive tissues such as skeletal muscle and liver to metabolic regulation is ill-defined. Here, we show that disruption of the BBSome through Bbs1 gene deletion in the skeletal muscle had no effect on body weight or glucose handling, but improved insulin sensitivity of female mice without changing insulin receptor signaling. Interestingly, when fed an obesogenic diet, male mice lacking the Bbs1 gene in skeletal muscle exhibited heightened insulin sensitivity despite the comparable weight gain and glucose tolerance relative to controls. On the other hand, normal chow-fed mice missing the Bbs1 gene in hepatocytes displayed increased body weight, as well as impaired glucose handling and insulin sensitivity. This was associated with attenuated insulin signaling in liver and hepatocytes, but not skeletal muscle and white adipose tissue. Moreover, hepatocytes lacking the Bbs1 gene displayed significant reduction in plasma membrane insulin receptor levels due to the mitochondrial dysfunction evoked by loss of the BBSome. Together, these findings demonstrate that myocyte BBSome is minimally involved in metabolic regulation, whereas the hepatic BBSome plays a critical role in the control of energy homeostasis and insulin sensitivity through its requirement for insulin receptor trafficking.NEW & NOTEWORTHY The ongoing epidemic of obesity and associated illnesses highlights the need to understand the biological processes that regulate energy balance. Here, we identified an important role for a protein complex called BBSome in the control of hepatic function. We show that the liver BBSome is necessary to maintain body weight and blood glucose levels due to its requirements to generate energy and detect insulin, a hormone that is essential for metabolic regulation.
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Affiliation(s)
- Younes Rouabhi
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States
| | - Deng-Fu Guo
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States
- Veterans Affairs Health Care System, Iowa City, Iowa, United States
| | - Yuying Zhao
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States
| | - Kamal Rahmouni
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States
- Veterans Affairs Health Care System, Iowa City, Iowa, United States
- Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States
- Fraternal Order of Eagles Diabetes Research Center, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States
- Obesity Research and Education Initiative, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States
- Iowa Neuroscience Institute, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States
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Manzanilla-Pech CIV, Stephansen RB, Lassen J. Genetic parameters for feed intake and body weight in dairy cattle using high-throughput 3-dimensional cameras in Danish commercial farms. J Dairy Sci 2023; 106:9006-9015. [PMID: 37641284 DOI: 10.3168/jds.2023-23405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/08/2023] [Indexed: 08/31/2023]
Abstract
Recording complex phenotypes on a large scale is becoming possible with the incorporation of recently developed new technologies. One of these new technologies is the use of 3-dimensional (3D) cameras on commercial farms to measure feed intake and body weight (BW) daily. Residual feed intake (RFI) has been proposed as a proxy for feed efficiency in several species, including cattle, pigs, and poultry. Dry matter intake (DMI) and BW records are required to calculate RFI, and the use of this new technology will help increase the number of individual records more efficiently. The aim of this study was to estimate genetic parameters (including genetic correlations) for DMI and BW obtained by 3D cameras from 6,000 cows in commercial farms from the breeds Danish Holstein, Jersey, and Nordic Red. Additionally, heritabilities per parity and genetic correlations among parities were estimated for DMI and BW in the 3 breeds. Data included 158,000 weekly records of DMI and BW obtained between 2019 and 2022 on 17 commercial farms. Estimated heritability for DMI ranged from 0.17 to 0.25, whereas for BW they ranged from 0.44 to 0.58. The genetic correlations between DMI and BW were moderately positive (0.58-0.65). Genetic correlations among parities in both traits were highly correlated in the 3 breeds, except for DMI between first parity and late parities in Holstein where they were down to 0.62. Based on these results, we conclude that DMI and BW phenotypes measured by 3D cameras are heritable for the 3 dairy breeds and their heritabilities are comparable to those obtained by traditional methods (scales and feed bins). The high heritabilities and correlations of 3D measurements with the true trait in previous studies demonstrate the potential of this new technology for measuring feed intake and BW in real time. In conclusion, 3D camera technology has the potential to become a valuable tool for automatic and continuous recording of feed intake and BW on commercial farms.
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Affiliation(s)
| | - Rasmus B Stephansen
- Center for Quantitative Genetics and Genomics, Aarhus University, DK-8000 Aarhus, Denmark
| | - Jan Lassen
- Center for Quantitative Genetics and Genomics, Aarhus University, DK-8000 Aarhus, Denmark; Viking Genetics, Assentoft, 8960 Randers, Denmark
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Helal M, Ali MA, Nadrin AH, Awad YI, Younis NK, Alasyed BM, Jamal M, Eid DH, Soliman HA, Eissa SA, Ragab M. Association between IRS-1, PPAR-γ and LEP genes polymorphisms and growth traits in rabbits. Anim Biotechnol 2023; 34:2391-2399. [PMID: 35767350 DOI: 10.1080/10495398.2022.2092743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Single nucleotide polymorphisms are commonly associated with changes in quantitative traits, and have been considered useful markers for improving different traits in livestock. The current study aimed to explore the effect of three SNPs located in Insulin receptor substrate (IRS-1), Peroxisome proliferator-activated receptor γ (PPAR-γ), and Leptin (LEP) genes on the growth traits of rabbits. Individuals from three rabbit breeds were genotyped using RFLP-PCR. The IRS-1 variant (c.189T > G) was associated with post-weaning body weight, and body weight gains, However, the effect on growth rates was insignificant in Baladi Red and V-line rabbits. The PPAR-γ variant (c.207A > C) was significantly associated with 8-wk body weights in V-line rabbits, 10-wk body weights, and growth rates from 8 to 10 weeks of age in New Zealand rabbits. However, the differences between genotypes were insignificant for body weight gains and average daily gain. The LEP gene mutation (g.16079636C > G) had significant effects on body weights at 6 and 8 weeks of age in New Zealand White rabbits and 8 weeks of age in Baladi Red rabbits were associated with the presence of the C allele. Concludingly, the results stressed the importance of the IRS-1 gene in post-weaning growth and suggested the existence of breed-specific effects for PPAR-γ and LEP.
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Affiliation(s)
- Mostafa Helal
- Department of Animal Production, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Mahmoud A Ali
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Amira H Nadrin
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Yomna I Awad
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Nada K Younis
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Basant M Alasyed
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Mohnad Jamal
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Dima H Eid
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Hagar A Soliman
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Sara A Eissa
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Mohamed Ragab
- Department of Poultry Production, Kafr El-Sheikh University, Kafr EL-Sheikh, Egypt
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Song X, Li X, Liu X, Zhang Z, Ding X, Chai Y, Li Z, Wang H, Li J, Liang H, Sun X, Yang G, Qi Z, Chen F, Shi Q, Wang E, Ru B, Lei C, Chen H, Liu W, Huang Y. Copy number variation of the ZNF679 gene in cattle and its association analysis with growth traits. Anim Biotechnol 2023; 34:4680-4686. [PMID: 37093180 DOI: 10.1080/10495398.2023.2185628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Copy number variation (CNV) is an important member of genetic structural variation that exists widely in animal genomes and is between 50 bp and several Mb in length and widely used in research's of animal genetics and breeding. ZNF679 is an important transcription factor, which has been found association with diseases in the human genome many times. This gene has also been found to be associated with cattle growth traits in previous re-sequencing studies. We tested the CNVs of the ZNF679 gene in 809 individuals from 7 Chinese cattle breeds and tested the association between the CNVs and growth traits in 552 individuals from 5 breeds. The results demonstrated the correlation the correlation between the CNVs of the ZNF679 gene and some Chinese cattle (QC cattle and XN cattle) growth traits. To sum up, this study indicated that ZNF679-CNVs can be used as a candidate gene for molecular genetic marker-assisted selection breeding for cattle growth traits to contribute to the development of genetic improvement of Chinese cattle.
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Affiliation(s)
- Xingya Song
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China
| | - Xinmiao Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China
- College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, People's Republic of China
| | - Xian Liu
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan, People's Republic of China
| | - Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, People's Republic of China
| | - Xiaoting Ding
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China
| | - Yanan Chai
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, People's Republic of China
| | - Zhiming Li
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan, People's Republic of China
| | - Hongli Wang
- Jiaxian Animal Husbandry Bureau, Jiaxian Henan, People's Republic of China
| | - Jungang Li
- Jiaxian Animal Husbandry Bureau, Jiaxian Henan, People's Republic of China
| | - Huifeng Liang
- Jiaxian Animal Husbandry Bureau, Jiaxian Henan, People's Republic of China
| | - Xiaoyan Sun
- Jiaxian Animal Husbandry Bureau, Jiaxian Henan, People's Republic of China
| | - Guojie Yang
- Jiaxian Animal Husbandry Bureau, Jiaxian Henan, People's Republic of China
| | - Zengfang Qi
- Jiaxian Animal Husbandry Bureau, Jiaxian Henan, People's Republic of China
| | - Fuying Chen
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, People's Republic of China
| | - Qiaoting Shi
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, People's Republic of China
| | - Eryao Wang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, People's Republic of China
| | - Baorui Ru
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan, People's Republic of China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China
| | - Wujun Liu
- College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, People's Republic of China
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China
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Li X, Shao X, Kou M, Wang X, Ma H, Grundberg E, Bazzano LA, Smith SR, Bray GA, Sacks FM, Qi L. DNA Methylation at ABCG1 and Long-term Changes in Adiposity and Fat Distribution in Response to Dietary Interventions: The POUNDS Lost Trial. Diabetes Care 2023; 46:2201-2207. [PMID: 37770056 DOI: 10.2337/dc23-0748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 09/07/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE To examine whether participants with different levels of diabetes-related DNA methylation at ABCG1 might respond differently to dietary weight loss interventions with long-term changes in adiposity and body fat distribution. RESEARCH DESIGN AND METHODS The current study included overweight/obese participants from the POUNDS Lost trial. Blood levels of regional DNA methylation at ABCG1 were profiled by high-resolution methylC-capture sequencing at baseline among 673 participants, of whom 598 were followed up at 6 months and 543 at 2 years. Two-year changes in adiposity and computed tomography-measured body fat distribution were calculated. RESULTS Regional DNA methylation at ABCG1 showed significantly different associations with long-term changes in body weight and waist circumference at 6 months and 2 years in dietary interventions varying in protein intake (interaction P < 0.05 for all). Among participants assigned to an average-protein (15%) diet, lower baseline regional DNA methylation at ABCG1 was associated with greater reductions in body weight and waist circumference at 6 months and 2 years, whereas opposite associations were found among those assigned to a high-protein (25%) diet. Similar interaction patterns were also observed for body fat distribution, including visceral adipose tissue, subcutaneous adipose tissue, deep subcutaneous adipose tissue, and total adipose tissue at 6 months and 2 years (interaction P < 0.05 for all). CONCLUSIONS Baseline DNA methylation at ABCG1 interacted with dietary protein intake on long-term decreases in adiposity and body fat distribution. Participants with lower methylation at ABCG1 benefitted more in long-term reductions in body weight, waist circumference, and body fat distribution when consuming an average-protein diet.
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Affiliation(s)
- Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xiaojian Shao
- Digital Technologies Research Centre, National Research Council Canada, Ottawa, Ontario, Canada
| | - Minghao Kou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xuan Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Elin Grundberg
- Department of Pediatrics, Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO
| | - Lydia A Bazzano
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | | | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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Yang H, Wei Y, Tang J, Yang S, Jiang X, Huang Y, Lan X, Lei C, Wei Z, Chen H. Association analysis of indels in the VISFATIN gene with five cattle breeds and their growth traits. Anim Biotechnol 2023; 34:2420-2426. [PMID: 35816456 DOI: 10.1080/10495398.2022.2094801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
VISFATIN is an adipose cytokine that has been proved to correlate with growth and development traits. In a previous study from our lab, two insertion/deletions (indels; including a 35-bp insertion at its intron 4 and a 6-bp deletion in intron 5) were identified within the VISFATIN gene. To validate these indels and evaluate their association with growth traits in Chinese cattle, a total of 413 samples from four Chinese indigenous breeds and 217 samples from Chinese breeds were detected. Three genotypes (WW, WI and II) at intron 4 were detected based on the 35-bp insertion (allele I) or deletion (allele W) and showed moderate polymorphism in all samples. Two genotypes (WW and WD) at intron 5 were detected based on the 6-bp deletion (allele D) or insertion (allele W) in Xianan (XN) cattle and Jinnan (JN) cattle population but showed poor polymorphisms. Association analysis illustrated that the indel at intron 4 is significantly associated with chest girth, rump length and body weight in Ji'an (JA) cattle and the indel at intron 5 can cause a significant difference in rump length in JN cattle. To our knowledge, it is the first time it has been shown that indels within the VISFATIN gene are associated with growth traits in the two Chinese indigenous cattle breeds. These findings suggest that the VISFATIN gene can be used as a molecular marker for JN and JA cattle breeding.
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Affiliation(s)
- Haiyan Yang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, China
| | - Yongke Wei
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, China
| | - Jia Tang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, China
| | - Shuling Yang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, China
| | - Xiaojun Jiang
- Agriculture and Animal Husbandry Fine Seed Breeding Farm of Shaanxi Province, Fufeng, China
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, China
| | - Xianyong Lan
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, China
| | - Zehui Wei
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, China
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, China
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China
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46
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Heng-Wei Y, Raza SHA, Almohaimeed HM, Alzahrani SS, Alkhalifah SM, Yasir B AL, Yasir B AL, Zan L. The body weight heritability and the effect of non-genetic factors on the body measurement traits in Qinchuan cattle. Anim Biotechnol 2023; 34:4387-4393. [PMID: 36534484 DOI: 10.1080/10495398.2022.2154222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
This study aimed to understand the influence of the non-genetic factors that include breeding year, season, and sex of growth and development traits of Qinchuan cattle and to estimate the heritability of body weight at different growth stages. The Qinchuan cattle measurement records were by the Experiment farm of the National Beef Cattle Improvement Center (Yangling, China) from 2000 to 2017. SPSS and R software were used to analyze the influence of non-genetic factors on body size traits that include body weight (BW), withers height (WH), hip height (HH), body length (BL), chest circumference (CC), abdominal girth (AG), and calf girth (CG), at birth, 6, 12, 18, and 24 months of age. Meanwhile, the single-trait animal model of DMU software was used to estimate the variance component and the heritability of body weight. The results of GLM analysis showed as follows: sex, birth year, and birth season had effects on the body size traits of Qinchuan cattle at different growth stages. Respectively, the heritability of body weight at birth, 6, 12, 18, and 24 months of age were 0.43, 0.32, 0.37, 0.32, and 0.38.
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Affiliation(s)
- Yu Heng-Wei
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | | | - Hailah M Almohaimeed
- Department of Basic Science, College of Medicine, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Seham Saeed Alzahrani
- Department of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia
| | | | | | | | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
- National Beef Cattle Improvement Center, Yangling, China
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47
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Zeng X, Wang W, Zhang D, Li X, Zhang Y, Zhao Y, Zhao L, Wang J, Xu D, Cheng J, Li W, Zhou B, Lin C, Yang X, Zhai R, Ma Z, Liu J, Cui P, Weng X, Wu W, Zhang X, Zheng W. Polymorphism and expression level of the FADS3 gene and associated with the growth traits in Hu sheep. Anim Biotechnol 2023; 34:4793-4802. [PMID: 37040177 DOI: 10.1080/10495398.2023.2196313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
Growth traits are the economically important traits of sheep, and screening for genes related to growth and development is helpful for the genetic improvement of ovine growth traits. The fatty acid desaturase 3 (FADS3) is one of the important genes affecting the synthesis and accumulation of polyunsaturated fatty acids in animals. In this study, the expression levels of the FADS3 gene and polymorphism of the FADS3 gene associated with growth traits in Hu sheep were detected using quantitative real-time PCR (qRT-PCR), Sanger sequencing, and KAspar assay. The result showed that the expression levels of the FADS3 gene were widely expressed in all tissues, and the expression level of FADS3 in the lung was significantly higher than in other tissues (p < .05). Then, the polymorphism locus g. 2918 A > C was detected in intron 2 of the FADS3 gene, and associated analysis showed that the mutation in the FADS3 gene was associated significantly with growth traits (including body weight, body height, body length, and chest circumference, p < .05). Therefore, individuals with AA genotype showed significantly better growth traits than those with CC genotype, and FADS3 gene could be a candidate gene for improving growth traits in Hu sheep.
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Affiliation(s)
- Xiwen Zeng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Weimin Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
- The State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Deyin Zhang
- The State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Xiaolong Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Yukun Zhang
- The State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Yuan Zhao
- The State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Liming Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Jianghui Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Dan Xu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Jiangbo Cheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Wenxin Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Bubo Zhou
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Changchun Lin
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Xiaobin Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Rui Zhai
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Zongwu Ma
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Jia Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Panpan Cui
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Xiuxiu Weng
- The State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Weiwei Wu
- Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, Xinjiang, China
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Wenxin Zheng
- Institute of Animal Husbandry Quality Standards, Xinjiang Academy of Animal Sciences, Urumqi, Xinjiang, China
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Fathy Megahed N, Abdel-Kafy ESM, El-Kassas S, Sobhy HM, Hekal SHA, Alagawany M, Manaa EA. Association of insulin receptor substrate 1 ( IRS-1) gene polymorphism with growth and litter-related traits in NMER rabbits. Anim Biotechnol 2023; 34:3749-3756. [PMID: 37310292 DOI: 10.1080/10495398.2023.2219705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This study investigated the associations between the c.189G > T polymorphism of the insulin receptor substrate-1 (IRS-1) gene and the growth and litter size-related traits in the Native rabbit in Middle Egypt (NMER). One hundred sixty-two NMER rabbits were genotyped by RFLP-PCR using Sau3AI restriction enzyme and the associations of the reported genotypes with body weights at 5th, 6th, 8th, 10th, and 12th week old, body gain, and daily gain plus, the litter size-related traits were determined. Additionally, the genotypic and allelic frequencies, the effective (Ne) and observed (NA) numbers of alleles, observed (Ho) and expected (He) heterozygosity, Hardy-Weinberg equilibrium (HWE), and the decrease in heterozygosity because of inbreeding (FIS) were calculated. Three genotypes; GG, GT, and TT with 0.65, 0.33, and 0.02 frequencies, respectively which fit HWE were reported. These genotypes displayed a marked low FIS value. Significant associations of the genotypes with the body weights, and gains, except at the 5th week old determined with superiority of the GT genotype compared with the other genotypes. All reported litter size-related traits significantly varied among different genotypes. In summary, the c.189G > T SNP of the IRS-1 gene is an effective genetic marker to improve growth performance and litter size traits of the NMER rabbits.
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Affiliation(s)
- Naglaa Fathy Megahed
- Agricultural Research Center (ARC), Animal Production Research Institute (APRI), Giza, Egypt
| | - El-Sayed M Abdel-Kafy
- Agricultural Research Center (ARC), Animal Production Research Institute (APRI), Giza, Egypt
| | - Seham El-Kassas
- Animal, Poultry and Fish Breeding and Production, Department of Animal Wealth Development, Kafrelsheikh University, Egypt
| | - Hassan Mohamed Sobhy
- Department of Natural Resources faculty of African postgraduate studies, Cairo university, Giza, Egypt
| | | | - Mahmoud Alagawany
- Poultry Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - Eman A Manaa
- Animal and Poultry Production, Department of Animal Wealth Development, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh, Qalyubia, Egypt
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49
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Madsen MD, Duijvesteijn N, van der Werf J, Clark S. Micro-genetic environmental sensitivity across macro-environments of chickens reared in Burkina Faso and France. Genet Sel Evol 2023; 55:85. [PMID: 38036958 PMCID: PMC10688495 DOI: 10.1186/s12711-023-00854-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 11/06/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Commercial poultry production systems follow a pyramidal structure with a nucleus of purebred animals under controlled conditions at the top and crossbred animals under commercial production conditions at the bottom. Genetic correlations between the same phenotypes on nucleus and production animals can therefore be influenced by differences both in purebred-crossbred genotypes and in genotype-by-environment interactions across the two environments, known as macro-genetic environmental sensitivity (GES). Within each environment, genotype-by-environment interactions can also occur due to so-called micro-GES. Micro-GES causes heritable variation in phenotypes and decreases uniformity. In this study, genetic variances of body weight (BW) and of micro-GES of BW and the impacts of purebred-crossbred differences and macro-environmental differences on micro-GES of BW were estimated. The dataset contained three subpopulations of slow-growing broiler chickens: purebred chickens (PB) reared in France, and crossbred chickens reared in France (FR) under the same conditions as PB or reared in Burkina Faso (BF) under local conditions. The crossbred chickens were offspring of the same dam line and had PB as their sire line. RESULTS Estimates of heritability of BW and micro-GES of BW were 0.54 (SE of 0.02) and 0.06 (0.01), 0.67 (0.03) and 0.03 (0.01), and 0.68 (0.04) and 0.02 (0.01) for the BF, FR, and PB subpopulations, respectively. Estimates of the genetic correlations for BW between the three subpopulations were moderately positive (0.37 to 0.53) and those for micro-GES were weakly to moderately positive (0.01 to 0.44). CONCLUSIONS The results show that the heritability of the micro-GES of BW varies with macro-environment, which indicates that responses to selection are expected to differ between macro-environments. The weak to moderate positive genetic correlations between subpopulations indicate that both macro-environmental differences and purebred-crossbred differences can cause re-ranking of sires based on their estimated breeding values for micro-GES of BW. Thus, the sire that produces the most variable progeny in one macro-environment may not be the one that produces the most variable offspring in another. Similarly, the sire that produces the most variable purebred progeny may not produce the most variable crossbred progeny. The results highlight the need for investigating micro-GES for all subpopulations included in the selection scheme, to ensure optimal genetic gain in all subpopulations.
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Affiliation(s)
- Mette Dam Madsen
- School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.
| | | | - Julius van der Werf
- School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia
| | - Sam Clark
- School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia
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Cinar MU, Arslan K, Sohel MMH, Bayram D, Piel LMW, White SN, Daldaban F, Aksel EG, Akyüz B. Genome-wide association study of early liveweight traits in fat-tailed Akkaraman lambs. PLoS One 2023; 18:e0291805. [PMID: 37988399 PMCID: PMC10662757 DOI: 10.1371/journal.pone.0291805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 09/06/2023] [Indexed: 11/23/2023] Open
Abstract
Small ruminants, especially sheep, are essential for sustainable agricultural production systems, future food/nutrition security, and poverty reduction in developing countries. Within developed countries, the ability of sheep to survive on low-quality forage intake could act as buffer against climate change. Besides sheep's importance in sustainable agricultural production, there has been less ongoing work in terms of sheep genetics in Near East, Middle East and in Africa. For lamb meat production, body weight and average daily gain (ADG) until weaning are critical economic traits that affects the profitability of the industry. The current study aims to identify single nucleotide polymorphisms (SNPs) that are significantly associated with pre-weaning growth traits in fat tail Akkaraman lambs using a genome-wide association study (GWAS). A total of 196 Akkaraman lambs were selected for analysis. After quality control, a total of 31,936 SNPs and 146 lambs were used for subsequent analyses. PLINK 1.9 beta software was used for the analyses. Based on Bonferroni-adjusted p-values, one SNP (rs427117280) on chromosome 2 (OAR2) had significant associations with weaning weight at day 90 and ADG from day 0 to day 90, which jointly explains a 0.8% and 0.9% of total genetic variation respectively. The Ovis aries natriuretic peptide C (NPPC) could be considered as a candidate gene for the defined significant associations. The results of the current study will help to increase understanding of the variation in weaning weight and ADG until weaning of Akkaraman lambs and help enhance selection for lambs with improved weaning weight and ADG. However, further investigations are required for the identification of causal variants within the identified genomic regions.
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Affiliation(s)
- Mehmet Ulas Cinar
- Faculty of Agriculture, Department of Animal Science, Erciyes University, Kayseri, Turkiye
- Department of Veterinary Microbiology & Pathology, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America
| | - Korhan Arslan
- Faculty of Veterinary Medicine, Department of Genetics, Erciyes University, Kayseri, Turkiye
| | - Md Mahmodul Hasan Sohel
- Faculty of Veterinary Medicine, Department of Genetics, Erciyes University, Kayseri, Turkiye
- Department of Life Sciences, School of Environment and Life Sciences, Independent University, Dhaka, Bangladesh
| | - Davut Bayram
- Faculty of Veterinary Medicine, Department of Animal Science, Erciyes University, Kayseri, Turkiye
| | - Lindsay M. W. Piel
- USDA-ARS Animal Disease Res. 3003 ADBF, WSU Pullman, Pullman, Washington, United States of America
| | - Stephen N. White
- Department of Veterinary Microbiology & Pathology, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America
| | - Fadime Daldaban
- Faculty of Veterinary Medicine, Department of Genetics, Erciyes University, Kayseri, Turkiye
| | - Esma Gamze Aksel
- Faculty of Veterinary Medicine, Department of Genetics, Erciyes University, Kayseri, Turkiye
| | - Bilal Akyüz
- Faculty of Veterinary Medicine, Department of Genetics, Erciyes University, Kayseri, Turkiye
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