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Panigrahi M, Rajawat D, Nayak SS, Jain K, Vaidhya A, Prakash R, Sharma A, Parida S, Bhushan B, Dutt T. Genomic insights into key genes and QTLs involved in cattle reproduction. Gene 2024; 917:148465. [PMID: 38621496 DOI: 10.1016/j.gene.2024.148465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 04/05/2024] [Accepted: 04/10/2024] [Indexed: 04/17/2024]
Abstract
From an economic standpoint, reproductive characteristics are fundamental for sustainable production, particularly for monotocous livestock like cattle. A longer inter-calving interval is indicative of low reproductive capacity. This issue changes the dynamics of current and future lactations since it necessitates more inseminations, veterinary care, and hormone interventions. Various reproductive phenotypes, including ovulation, mating, fertility, pregnancy, embryonic growth, and calving-related traits, are observed in dairy cattle, and these traits have been associated with several QTLs. Calving ease, age at puberty, scrotal circumference, and inseminations per conception have been associated with 4437, 10623, 10498, and 2476 Quantitative Trait Loci (QTLs), respectively. This data offers valuable insights into enhancing and comprehending reproductive traits in livestock breeding. Studying QTLs associated with reproductive traits has far-reaching implications across various fields, from agriculture and animal husbandry to human health, evolutionary biology, and conservation. It provides the foundation for informed breeding practices, advances in biotechnology, and a deeper understanding of the genetic underpinnings of reproduction.
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Affiliation(s)
- Manjit Panigrahi
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
| | - Divya Rajawat
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Sonali Sonejita Nayak
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Karan Jain
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Ayushi Vaidhya
- Division of Pharmacology & Toxicology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Ravi Prakash
- Division of Pharmacology & Toxicology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Anurodh Sharma
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Subhashree Parida
- Division of Pharmacology & Toxicology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Bharat Bhushan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Triveni Dutt
- Livestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
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2
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Jamwal S, Tyagi N, Kumar J, Kaushik JK, Kumar S, Mohanty AK. Simple method for isolation and culture of primary buffalo (Bubalus bubalis) endometrial epithelial cells (pBuEECs) and its characterization using high throughput proteomics approach. Anim Reprod Sci 2024; 263:107449. [PMID: 38490065 DOI: 10.1016/j.anireprosci.2024.107449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 02/06/2024] [Accepted: 02/23/2024] [Indexed: 03/17/2024]
Abstract
Early embryonic mortality resulting from insufficient interaction between the embryo and the uterus leads to the failure of pregnancy in livestock animals. Thus, it is imperative to comprehend the multifaceted process of implantation at molecular levels, which requires synchronized feto-maternal interaction. The in-vitro models serve as valuable tools to investigate the specific stages of implantation. The present study was undertaken to develop a simple method to isolate and culture the primary buffalo endometrial epithelial cells (pBuEECs), followed by proteome profiling of the proliferating cells. Collagenase I was used to separate uterine epithelial cells (UECs) from the ipsilateral uterine horn, and then the cells were separated using a cell strainer. After being seeded on culture plates, UECs developed colonies with characteristic epithelial shape and expressed important markers such as cytokeratin 18 (KRT18), progesterone receptor (PGR), β-estrogen receptor (ESR1), and leukemia inhibitory factor (LIF), which were confirmed by PCR. The purity of epithelial cells was assessed using cytokeratin 18 immunostaining, which indicated approximately 99% purity in cultured cells. The proteome profiling of pBuEECs via high-throughput tandem mass spectrometry (MS), identified a total of 3383 proteins. Bioinformatics analysis revealed enrichment in various biological processes, including cellular processes, metabolic processes, biological regulation, localization, signaling, and developmental processes. Moreover, the KEGG pathway analysis highlighted associations with the ribosome, proteosome, oxidative phosphorylation, spliceosome, and cytoskeleton regulation pathways. In conclusion, these well characterized cells offer valuable in-vitro model to enhance the understanding of implantation and uterine pathophysiology in livestock animals, particularly buffaloes.
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Affiliation(s)
- Shradha Jamwal
- Animal Biotechnology Centre, Indian Council of Agricultural Research-National Dairy Research Institute, Karnal, India
| | - Nikunj Tyagi
- Animal Biotechnology Centre, Indian Council of Agricultural Research-National Dairy Research Institute, Karnal, India
| | - Jaideep Kumar
- Animal Biotechnology Centre, Indian Council of Agricultural Research-National Dairy Research Institute, Karnal, India
| | - Jai Kumar Kaushik
- Animal Biotechnology Centre, Indian Council of Agricultural Research-National Dairy Research Institute, Karnal, India
| | - Sudarshan Kumar
- Animal Biotechnology Centre, Indian Council of Agricultural Research-National Dairy Research Institute, Karnal, India.
| | - Ashok Kumar Mohanty
- Indian Council of Agricultural Research-Central Institute for Research on Cattle, Meerut, India.
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Naji MM, Jiang Y, Utsunomiya YT, Rosen BD, Sölkner J, Wang C, Jiang L, Zhang Q, Zhang Y, Ding X, Mészáros G. Favored single nucleotide variants identified using whole genome Re-sequencing of Austrian and Chinese cattle breeds. Front Genet 2022; 13:974787. [PMID: 36238155 PMCID: PMC9552183 DOI: 10.3389/fgene.2022.974787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/29/2022] [Indexed: 11/25/2022] Open
Abstract
Cattle have been essential for the development of human civilization since their first domestication few thousand years ago. Since then, they have spread across vast geographic areas following human activities. Throughout generations, the cattle genome has been shaped with detectable signals induced by various evolutionary processes, such as natural and human selection processes and demographic events. Identifying such signals, called selection signatures, is one of the primary goals of population genetics. Previous studies used various selection signature methods and normalized the outputs score using specific windows, in kbp or based on the number of SNPs, to identify the candidate regions. The recent method of iSAFE claimed for high accuracy in pinpointing the candidate SNPs. In this study, we analyzed whole-genome resequencing (WGS) data of ten individuals from Austrian Fleckvieh (Bos taurus) and fifty individuals from 14 Chinese indigenous breeds (Bos taurus, Bos taurus indicus, and admixed). Individual WGS reads were aligned to the cattle reference genome of ARS. UCD1.2 and subsequently undergone single nucleotide variants (SNVs) calling pipeline using GATK. Using these SNVs, we examined the population structure using principal component and admixture analysis. Then we refined selection signature candidates using the iSAFE program and compared it with the classical iHS approach. Additionally, we run Fst population differentiation from these two cattle groups. We found gradual changes of taurine in north China to admixed and indicine to the south. Based on the population structure and the number of individuals, we grouped samples to Fleckvieh, three Chinese taurines (Kazakh, Mongolian, Yanbian), admixed individuals (CHBI_Med), indicine individuals (CHBI_Low), and a combination of admixed and indicine (CHBI) for performing iSAFE and iHS tests. There were more significant SNVs identified using iSAFE than the iHS for the candidate of positive selection and more detectable signals in taurine than in indicine individuals. However, combining admixed and indicine individuals decreased the iSAFE signals. From both within-population tests, significant SNVs are linked to the olfactory receptors, production, reproduction, and temperament traits in taurine cattle, while heat and parasites tolerance in the admixed individuals. Fst test suggests similar patterns of population differentiation between Fleckvieh and three Chinese taurine breeds against CHBI. Nevertheless, there are genes shared only among the Chinese taurine, such as PAX5, affecting coat color, which might drive the differences between these yellowish coated breeds, and those in the greater Far East region.
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Affiliation(s)
- Maulana M. Naji
- University of Natural Resources and Life Sciences, Vienna, Austria
| | - Yifan Jiang
- China Agricultural University, Beijing, China
| | - Yuri T. Utsunomiya
- Department of Production and Animal Health, School of Veterinary Medicine, São Paulo State University (Unesp), Araçatuba, Brazil
| | - Benjamin D. Rosen
- Animal Genomics and Improvement Laboratory, USDA‐ARS, Beltsville, MD, United States
| | - Johann Sölkner
- University of Natural Resources and Life Sciences, Vienna, Austria
| | | | - Li Jiang
- China Agricultural University, Beijing, China
| | - Qin Zhang
- China Agricultural University, Beijing, China
| | - Yi Zhang
- China Agricultural University, Beijing, China
| | - Xiangdong Ding
- China Agricultural University, Beijing, China
- *Correspondence: Xiangdong Ding, ; Gábor Mészáros,
| | - Gábor Mészáros
- University of Natural Resources and Life Sciences, Vienna, Austria
- *Correspondence: Xiangdong Ding, ; Gábor Mészáros,
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Liu SH, Ma XY, Hassan FU, Gao TY, Deng TX. Genome-wide analysis of runs of homozygosity in Italian Mediterranean buffalo. J Dairy Sci 2022; 105:4324-4334. [PMID: 35307184 DOI: 10.3168/jds.2021-21543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 02/07/2022] [Indexed: 11/19/2022]
Abstract
Runs of homozygosity (ROH) are a powerful tool to explore patterns of genomic inbreeding in animal populations and detect signatures of selection. The present study used ROH analysis to evaluate the genome-wide patterns of homozygosity, inbreeding levels, and distribution of ROH islands using the SNP data sets from 899 Mediterranean buffaloes. A total of 42,433 ROH segments were identified, with an average of 47.20 segments per individual. The ROH comprising mostly shorter segments (1-4 Mb) accounted for approximately 72.29% of all ROH. In contrast, the larger ROH (>8 Mb) class accounted for only 7.97% of all ROH segments. Estimated inbreeding coefficients from ROH (FROH) ranged from 0.0201 to 0.0371. Pearson correlations between FROH and genomic relationship matrix increased with the increase of ROH length. We identified ROH hotspots in 12 genomic regions, located on chromosomes 1, 2, 3, 5, 17, and 19, harboring a total of 122 genes. Protein-protein interaction (PPI) analysis revealed the clustering of these genes into 7 PPI networks. Many genes located in these regions were associated with different production traits. In addition, 5 ROH islands overlapped with cattle quantitative trait loci that were mainly associated with milk traits. These findings revealed the genome-wide autozygosity patterns and inbreeding levels in Mediterranean buffalo. Our study identified many candidate genes related to production traits that could be used to assist in selective breeding for genetic improvement of buffalo.
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Affiliation(s)
- Shen-He Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
| | - Xiao-Ya Ma
- Guangxi Provincial Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning 530001, China
| | - Faiz-Ul Hassan
- Institute of Animal and Dairy Sciences, University of Agriculture, Faisalabad 38040, Pakistan
| | - Teng-Yun Gao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Ting-Xian Deng
- Guangxi Provincial Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning 530001, China.
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Sasaki S, Watanabe T, Ibi T, Hasegawa K, Sakamoto Y, Moriwaki S, Kurogi K, Ogino A, Yasumori T, Wakaguri H, Muraki E, Miki Y, Yoshida Y, Inoue Y, Tabuchi I, Iwao K, Arishima T, Kawashima K, Watanabe M, Sugano S, Sugimoto Y, Suzuki Y. Identification of deleterious recessive haplotypes and candidate deleterious recessive mutations in Japanese Black cattle. Sci Rep 2021; 11:6687. [PMID: 33758295 PMCID: PMC7988166 DOI: 10.1038/s41598-021-86225-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 03/05/2021] [Indexed: 02/01/2023] Open
Abstract
Intensive use of a few elite sires has increased the risk of the manifestation of deleterious recessive traits in cattle. Substantial genotyping data gathered using single-nucleotide polymorphism (SNP) arrays have identified the haplotypes with homozygous deficiency, which may compromise survival. We developed Japanese Black cattle haplotypes (JBHs) using SNP array data (4843 individuals) and identified deleterious recessive haplotypes using exome sequencing of 517 sires. We identified seven JBHs with homozygous deficiency. JBH_10 and JBH_17 were associated with the resuming of estrus after artificial insemination, indicating that these haplotypes carried deleterious mutations affecting embryonic survival. The exome data of 517 Japanese Black sires revealed that AC_000165.1:g.85341291C>G of IARS in JBH_8_2, AC_000174.1:g.74743512G>T of CDC45 in JBH_17, and a copy variation region (CNVR_27) of CLDN16 in JBH_1_1 and JBH_1_2 were the candidate mutations. A novel variant AC_000174.1:g.74743512G>T of CDC45 in JBH_17 was located in a splicing donor site at a distance of 5 bp, affecting pre-mRNA splicing. Mating between heterozygotes of JBH_17 indicated that homozygotes carrying the risk allele died around the blastocyst stage. Analysis of frequency of the CDC45 risk allele revealed that its carriers were widespread throughout the tested Japanese Black cattle population. Our approach can effectively manage the inheritance of recessive risk alleles in a breeding population.
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Affiliation(s)
- Shinji Sasaki
- grid.267625.20000 0001 0685 5104Faculty of Agriculture, University of the Ryukyus, 1 Senbaru, Nishihara, Nakagami-gun, Okinawa, 903-0213 Japan ,grid.258333.c0000 0001 1167 1801United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima, 890-0065 Japan
| | - Toshio Watanabe
- Maebashi Institute of Animal Science, Livestock Improvement Association of Japan, Inc., Maebashi, 371-0121 Japan
| | - Takayuki Ibi
- grid.261356.50000 0001 1302 4472Graduate School of Environmental and Life Science, Okayama University, Tsushima-naka, Okayama, 700-8530 Japan
| | - Kiyotoshi Hasegawa
- Shimane Prefecture Livestock Technology Center, Koshi, Izumo, Shimane 693-0031 Japan
| | - Yoichi Sakamoto
- Shimane Prefecture Livestock Technology Center, Koshi, Izumo, Shimane 693-0031 Japan
| | - Shunsuke Moriwaki
- Shimane Prefecture Livestock Technology Center, Koshi, Izumo, Shimane 693-0031 Japan
| | - Kazuhito Kurogi
- Maebashi Institute of Animal Science, Livestock Improvement Association of Japan, Inc., Maebashi, 371-0121 Japan
| | - Atsushi Ogino
- Maebashi Institute of Animal Science, Livestock Improvement Association of Japan, Inc., Maebashi, 371-0121 Japan
| | - Takanori Yasumori
- Maebashi Institute of Animal Science, Livestock Improvement Association of Japan, Inc., Maebashi, 371-0121 Japan
| | - Hiroyuki Wakaguri
- grid.26999.3d0000 0001 2151 536XDepartment of Medical Genome Sciences, and Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8562 Japan
| | - Eiji Muraki
- Hida Beef Cattle Research Department, Gifu Prefectural Livestock Research Institute, Makigadou, Kiomi, Takayama, Gifu 506-0101 Japan
| | - Youko Miki
- Hyogo Prefectural Technology Center for Agriculture, Forest and Fisher, Hokubu Agricultural Technology Institute, Asago, Hyogo 669-5254 Japan
| | - Yuichi Yoshida
- Hyogo Prefectural Technology Center for Agriculture, Forest and Fisher, Hokubu Agricultural Technology Institute, Asago, Hyogo 669-5254 Japan
| | - Yoshinobu Inoue
- Tottori Prefecture Livestock Research Center, Tohaku-gun, Kotoura-cho 689-2503 Japan
| | - Ichiro Tabuchi
- Tottori Prefecture Livestock Research Center, Tohaku-gun, Kotoura-cho 689-2503 Japan
| | - Ken Iwao
- Tottori Prefecture Livestock Research Center, Tohaku-gun, Kotoura-cho 689-2503 Japan
| | - Taichi Arishima
- Cattle Breeding Development Institute of Kagoshima Prefecture, Osumi, So, Kagoshima 899-8212 Japan
| | - Keisuke Kawashima
- Cattle Breeding Development Institute of Kagoshima Prefecture, Osumi, So, Kagoshima 899-8212 Japan
| | - Manabu Watanabe
- grid.26999.3d0000 0001 2151 536XDepartment of Medical Genome Sciences, and Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8562 Japan
| | - Sumio Sugano
- grid.26999.3d0000 0001 2151 536XDepartment of Medical Genome Sciences, and Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8562 Japan
| | - Yoshikazu Sugimoto
- Shirakawa Institute of Animal Genetics, Japan Livestock Technology Association, Yushima, Bunkyouku, Tokyo 113-0034 Japan
| | - Yutaka Suzuki
- grid.26999.3d0000 0001 2151 536XDepartment of Medical Genome Sciences, and Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8562 Japan
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6
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Macciotta NPP, Colli L, Cesarani A, Ajmone-Marsan P, Low WY, Tearle R, Williams JL. The distribution of runs of homozygosity in the genome of river and swamp buffaloes reveals a history of adaptation, migration and crossbred events. Genet Sel Evol 2021; 53:20. [PMID: 33639853 PMCID: PMC7912491 DOI: 10.1186/s12711-021-00616-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 02/17/2021] [Indexed: 01/03/2023] Open
Abstract
Background Water buffalo is one of the most important livestock species in the world. Two types of water buffalo exist: river buffalo (Bubalus bubalis bubalis) and swamp buffalo (Bubalus bubalis carabanensis). The buffalo genome has been recently sequenced, and thus a new 90 K single nucleotide polymorphism (SNP) bead chip has been developed. In this study, we investigated the genomic population structure and the level of inbreeding of 185 river and 153 swamp buffaloes using runs of homozygosity (ROH). Analyses were carried out jointly and separately for the two buffalo types. Results The SNP bead chip detected in swamp about one-third of the SNPs identified in the river type. In total, 18,116 ROH were detected in the combined data set (17,784 SNPs), and 16,251 of these were unique. ROH were present in both buffalo types mostly detected (~ 59%) in swamp buffalo. The number of ROH per animal was larger and genomic inbreeding was higher in swamp than river buffalo. In the separated datasets (46,891 and 17,690 SNPs for river and swamp type, respectively), 19,760 and 10,581 ROH were found in river and swamp, respectively. The genes that map to the ROH islands are associated with the adaptation to the environment, fitness traits and reproduction. Conclusions Analysis of ROH features in the genome of the two water buffalo types allowed their genomic characterization and highlighted differences between buffalo types and between breeds. A large ROH island on chromosome 2 was shared between river and swamp buffaloes and contained genes that are involved in environmental adaptation and reproduction. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-021-00616-3.
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Affiliation(s)
| | - Licia Colli
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti-DIANA, Università Cattolica del Sacro Cuore, Piacenza, Italia.,Centro di Ricerca sulla Biodiversità e sul DNA Antico-BioDNA, Università Cattolica del Sacro Cuore, Piacenza, Italia
| | - Alberto Cesarani
- Dipartimento di Agraria, Università degli Studi di Sassari, Sassari, Italia. .,Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA.
| | - Paolo Ajmone-Marsan
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti-DIANA, Università Cattolica del Sacro Cuore, Piacenza, Italia.,Centro di Ricerca Nutrigenomica e Proteomica-PRONUTRIGEN, Università Cattolica del Sacro Cuore, Piacenza, Italia
| | - Wai Y Low
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - Rick Tearle
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - John L Williams
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti-DIANA, Università Cattolica del Sacro Cuore, Piacenza, Italia.,The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
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Sasaki S, Miki Y, Ibi T, Wakaguri H, Yoshida Y, Sugimoto Y, Suzuki Y. A 44-kb deleted-type copy number variation is associated with decreasing complement component activity and calf mortality in Japanese Black cattle. BMC Genomics 2021; 22:107. [PMID: 33549039 PMCID: PMC7866702 DOI: 10.1186/s12864-021-07415-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 01/28/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Calf mortality generally occurs in calves prior to weaning, which is a serious problem in cattle breeding. Several causative variants of monogenic Mendelian disorders in calf mortality have been identified, whereas genetic factors affecting the susceptibility of calves to death are not well known. To identify variants associated with calf mortality in Japanese Black cattle, we evaluated calf mortality as a categorical trait with a threshold model and performed a genome-wide copy number variation (CNV) association study on calf mortality. RESULTS We identified a 44-kb deleted-type CNV ranging from 103,317,687 to 103,361,802 bp on chromosome 5, which was associated with the mortality of 1-180-day-old calves. The CNV harbored C1RL, a pseudogene, and an IncRNA localized in the C1R and C1S gene cluster, which is a component of the classical complement activation pathway for immune complexes for infectious pathogens. The average complement activity in CNVR_221 homozygotes at postnatal day 7 was significantly lower than that of wild-type animals and heterozygotes. The frequency of the risk allele in dead calves suffering from diarrhea and pneumonia and in healthy cows was 0.35 and 0.28, respectively (odds ratio = 2.2, P = 0.016), suggesting that CNVR_221 was associated with the mortality of Japanese Black calves suffering from an infectious disease. CONCLUSIONS This study identified a deleted-type CNV associated with the mortality of 1-180-day-old calves. The complement activity in CNVR_221 homozygotes was significantly lower than that in heterozygotes and wild type animals. The frequency of the risk allele was higher in dead calves suffering from an infectious disease than in healthy cows. These results suggest that the existence of CNVR_221 in calves could be attributed to a reduction in complement activity, which in turn leads to susceptibility to infections. Thus, the risk allele could serve as a useful marker to reduce the mortality of infected Japanese Black calves.
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Affiliation(s)
- Shinji Sasaki
- University of the Ryukyus, Faculty of Agriculture, 1 Senbaru, Nishihara, Nakagami-gun, Okinawa, 903-0213, Japan. .,United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima, Kagoshima, 890-0065, Japan.
| | - Youko Miki
- Hokubu Agricultural Technology Institute, Hyogo Prefectural Technology Center for Agriculture, Forest and Fisher, Asago, Hyogo, Japan
| | - Takayuki Ibi
- Graduate School of Environmental and Life Science, Okayama University, Tsushima-naka, Okayama, 700-8530, Japan
| | - Hiroyuki Wakaguri
- Department of Medical Genome Sciences, and Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8562, Japan
| | - Yuichi Yoshida
- Hokubu Agricultural Technology Institute, Hyogo Prefectural Technology Center for Agriculture, Forest and Fisher, Asago, Hyogo, Japan
| | - Yoshikazu Sugimoto
- Shirakawa Institute of Animal Genetics, Japan Livestock Technology Association, Yushima, Bunkyouku, Tokyo, 113-0034, Japan
| | - Yutaka Suzuki
- Department of Medical Genome Sciences, and Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8562, Japan
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8
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Zheng X, Zhao P, Yang K, Ning C, Wang H, Zhou L, Liu J. CNV analysis of Meishan pig by next-generation sequencing and effects of AHR gene CNV on pig reproductive traits. J Anim Sci Biotechnol 2020; 11:42. [PMID: 32337028 PMCID: PMC7171861 DOI: 10.1186/s40104-020-00442-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Accepted: 02/27/2020] [Indexed: 12/17/2022] Open
Abstract
Background Reproductive performance of livestock is an economically important aspect of global food production. The Chinese Meishan pig is a prolific breed, with an average of three to five more piglets per litter than European breeds; however, the genetic basis for this difference is not well understood. Results In this study, we investigated copy number variations (CNVs) of 32 Meishan pigs and 29 Duroc pigs by next-generation sequencing. A genome-wide analysis of 61 pigs revealed 12,668 copy number variable regions (CNVRs) that were further divided into three categories based on copy number (CN) of the whole population, i.e., gain (n = 7,638), and loss (n = 5,030) CNVRs. We then compared Meishan and Duroc pigs and identified 17.17 Mb of 6,387 CNVRs that only existing in Meishan pigs CNVRs that overlapped the reproduction-related gene encoding the aryl hydrocarbon receptor (AHR) gene. We found that normal AHR CN was more frequent than CN loss in four different pig breeds. An association analysis showed that AHR CN had a positive effect on litter size (P < 0.05) and that a higher CN was associated with higher total number born (P < 0.05), number born alive (P < 0.05), number of weaned piglets, and birth weight. Conclusions The present study provides comprehensive CNVRs for Meishan and Duroc pigs through large-scale population resequencing. Our results provide a supplement for the high-resolution map of copy number variation in the porcine genome and valuable information for the investigation of genomic structural variation underlying traits of interest in pig. In addition, the association results provide evidence for AHR as a candidate gene associated with reproductive traits that can be used as a genetic marker in pig breeding programs.
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Affiliation(s)
- Xianrui Zheng
- 1National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China
| | - Pengju Zhao
- 1National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China
| | - Kaijie Yang
- 1National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China
| | - Chao Ning
- 1National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China
| | - Haifei Wang
- 1National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China.,2Department of Animal Genetics, Breeding and Reproduction and Molecular Design, College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009 China
| | - Lei Zhou
- 1National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China
| | - Jianfeng Liu
- 1National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China
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Upperman LR, Kinghorn BP, MacNeil MD, Van Eenennaam AL. Management of lethal recessive alleles in beef cattle through the use of mate selection software. Genet Sel Evol 2019; 51:36. [PMID: 31382878 PMCID: PMC6683482 DOI: 10.1186/s12711-019-0477-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 06/18/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Recessive loss-of-function (LOF) alleles at genes which are essential for life, can result in early embryonic mortality. Cattle producers can use the LOF carrier status of individual animals to make selection and mate allocation decisions. METHODS Two beef cattle breeding strategies i.e. (1) selection against LOF carriers as parents and (2) simultaneous selection and mate allocation to avoid the occurrence of homozygous offspring in three scenarios, which differed in number and frequency of LOF alleles were evaluated using the mate selection program, MateSel. Scenarios included (a) seven loci with high-frequency LOF alleles, (b) 76 loci with low-frequency LOF alleles, and (c) 50 loci with random high- and low-frequency LOF alleles. In addition, any savings resulting from the information obtained by varying the percentage (0-100%) of the herd genotyped, together with segregation analysis to cover ungenotyped animals, were calculated to determine (1) which percentage optimized net profit for a fixed cost of genotyping ($30/test), and (2) the breakeven cost for genotyping. RESULTS With full knowledge of the LOF alleles carried by selection candidates, the most profitable breeding strategy was always simultaneous selection and mate allocation to avoid homozygous affected offspring (aa) as compared to indiscriminate selection against carrier parents (Aa). The breakeven value of genotyping depended on the number of loci modeled, the LOF allele frequencies, and the mating/selection strategies used. Genotyping was most valuable when it was used to avoid otherwise high levels of embryonic mortalities. As the number of essential loci with LOF alleles increased, especially when some were present at relatively high minor allele frequencies, embryonic losses increased, and profit was maximized by genotyping 10 to 20% of a herd and using that information to reduce these losses. CONCLUSIONS Genotyping 100% of the herd was never the most profitable outcome in any scenario; however, genotyping some proportion of the herd, together with segregation analysis to cover ungenotyped animals, maximized overall profit in scenarios with large numbers of loci with LOF alleles. As more LOF alleles are identified, such a mate selection software will likely be required to optimally select and allocate matings to balance the rate of genetic gain, embryonic losses, and inbreeding.
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Affiliation(s)
- Lindsay R. Upperman
- Department of Animal Science, University of California, Davis, CA 95616 USA
- Present Address: Department of Animal Science, University of Nebraska, Lincoln, NE 68583 USA
| | - Brian P. Kinghorn
- School of Environmental and Rural Science, University of New England, Armidale, NSW 2351 Australia
| | - Michael D. MacNeil
- Delta G, Miles City, MT 59301 USA
- University of the Free State, Bloemfontein, 9300 South Africa
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Lin J, He J, Liang A, Wang F. Transcriptome profiling and dimorphic expression of sex-related genes in fifth-instar nymphs of Sogatella furcifera, an important rice pest. Genomics 2019; 112:1105-1111. [PMID: 31247330 DOI: 10.1016/j.ygeno.2019.06.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Revised: 06/08/2019] [Accepted: 06/21/2019] [Indexed: 01/04/2023]
Abstract
Sogatella furcifera is an important rice pest. In order to understand the molecular basis of the sex determination in this pest, we performed de novo transcriptome sequencing of six cDNA libraries (three biological replicates) of female and male fifth-instar nymphs. Total 65,199 unigenes were obtained, with an average length of 971.5 bp and N50 length of 1708 bp. 20,287 open reading frames (ORFs) were predicted and annotated. Total 1019 differentially expressed genes with 873 upregulated and 146 downregulated were found in male compared to female. Total 164 sex-determining genes were identified, including the key sex-determining genes in fruit flies, such as Sxl, tra, dsx, etc. It implied that the sex determination mechanisms of S. furcifera may be the same as that of fruit flies. This study provided transcriptome resource as a fundamental support for future functional studies to elucidate the sex determination regulatory networks governing sexual dimorphism of S. furcifera.
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Affiliation(s)
- Jia Lin
- State Key Laboratory for Biocontrol and Institute of Entomology, Sun Yat-sen University, Guangzhou 510275, China.
| | - Jingyi He
- State Key Laboratory for Biocontrol and Institute of Entomology, Sun Yat-sen University, Guangzhou 510275, China
| | - Anwen Liang
- State Key Laboratory for Biocontrol and Institute of Entomology, Sun Yat-sen University, Guangzhou 510275, China
| | - Fanghai Wang
- State Key Laboratory for Biocontrol and Institute of Entomology, Sun Yat-sen University, Guangzhou 510275, China.
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11
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Jia C, Wang H, Li C, Wu X, Zan L, Ding X, Guo X, Bao P, Pei J, Chu M, Liang C, Yan P. Genome-wide detection of copy number variations in polled yak using the Illumina BovineHD BeadChip. BMC Genomics 2019; 20:376. [PMID: 31088363 PMCID: PMC6518677 DOI: 10.1186/s12864-019-5759-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 05/02/2019] [Indexed: 01/29/2023] Open
Abstract
Background Copy number variations (CNVs), which are genetic variations present throughout mammalian genomes, are a vital source of phenotypic variation that can lead to the development of unique traits. In this study we used the Illunima BovineHD BeadChip to conduct genome-wide detection of CNVs in 215 polled yaks. Results A total of 1066 CNV regions (CNVRs) were detected with a total length of 181.6 Mb, comprising ~ 7.2% of the bovine autosomal genome. The size of these CNVRs ranged from 5.53 kb to 1148.45 kb, with an average size of 170.31 kb. Eight out of nine randomly chosen CNVRs were successfully validated by qPCR. A functional enrichment analysis of the CNVR-associated genes indicated their relationship to a number of molecular adaptations that enable yaks to thrive at high altitudes. One third of the detected CNVRs were mapped to QTLs associated with six classes of economically important traits, indicating that these CNVRs may play an important role in variations of these traits. Conclusions Our genome-wide yak CNV map may thus provide valuable insights into both the molecular mechanisms of high altitude adaptation and the potential genomic basis of economically important traits in yak. Electronic supplementary material The online version of this article (10.1186/s12864-019-5759-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Congjun Jia
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.,College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hongbo Wang
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Chen Li
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Xiaoyun Wu
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xuezhi Ding
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Xian Guo
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Pengjia Bao
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Jie Pei
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Min Chu
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Chunnian Liang
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
| | - Ping Yan
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
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12
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Rafter P, Purfield DC, Berry DP, Parnell AC, Gormley IC, Kearney JF, Coffey MP, Carthy TR. Characterization of copy number variants in a large multibreed population of beef and dairy cattle using high-density single nucleotide polymorphism genotype data. J Anim Sci 2018; 96:4112-4124. [PMID: 30239746 DOI: 10.1093/jas/sky302] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 08/07/2018] [Indexed: 02/07/2023] Open
Abstract
Copy number variants (CNVs) are a form of genomic variation that changes the structure of the genome through deletion or duplication of stretches of DNA. The objective of the present study was to characterize CNVs in a large multibreed population of beef and dairy bulls. The CNVs were called on the autosomes of 5,551 cattle from 22 different beef and dairy breeds, using 2 freely available software suites, QuantiSNP and PennCNV. All CNVs were classified into either deletions or duplications. The median concordance between PennCNV and QuantiSNP, per animal, was 18.5% for deletions and 0% for duplications. The low concordance rate between PennCNV and QuantiSNP indicated that neither algorithm, by itself, could identify all CNVs in the population. In total, PennCNV and QuantiSNP collectively identified 747,129 deletions and 432,523 duplications; 80.2% of all duplications and 69.1% of all deletions were present only once in the population. Only 0.154% of all CNVs identified were present in more than 50 animals in the population. The distribution of the percentage of the autosomes that were composed of deletions, per animal, was positively skewed, as was the distribution for the percentage of the autosomes that were composed of duplications, per animal. The first quartile, median, and third quartile of the distribution of the percentage of the autosomes that were composed of deletions were 0.019%, 0.037%, and 0.201%, respectively. The first quartile, median, and third quartile of the distribution of the percentage of the autosomes that were composed of duplications were 0.013%, 0.028%, and 0.076%, respectively. The distributions of the number of deletions and duplications per animal were both positively skewed. The interquartile range for the number of deletions per animal in the population was between 16 and 117, whereas for duplications it was between 8 and 23. Per animal, there tended to be twice as many deletions as duplications. The distribution of the length of deletions was positively skewed, as was the distribution of the length of duplications. The interquartile range for the length of deletions in the population was between 25 and 101 kb, and for duplications the interquartile range was between 46 and 235 kb. Per animal, duplications tended to be twice as long as deletions. This study provides a description of the characteristics and distribution of CNVs in a large multibreed population of beef and dairy cattle.
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Affiliation(s)
- Pierce Rafter
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland.,UCD School of Mathematics and Statistics, Insight Centre for Data Analytics, University College Dublin, Belfield, Dublin 4, Ireland
| | - Deirdre C Purfield
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland
| | - Donagh P Berry
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland
| | - Andrew C Parnell
- UCD School of Mathematics and Statistics, Insight Centre for Data Analytics, University College Dublin, Belfield, Dublin 4, Ireland
| | - I Claire Gormley
- UCD School of Mathematics and Statistics, Insight Centre for Data Analytics, University College Dublin, Belfield, Dublin 4, Ireland
| | | | - Mike P Coffey
- Animal and Veterinary Sciences, SRUC, Roslin Institute Building, Easter Bush, Midlothian EH25 9RG
| | - Tara R Carthy
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland
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Yurchenko AA, Daetwyler HD, Yudin N, Schnabel RD, Vander Jagt CJ, Soloshenko V, Lhasaranov B, Popov R, Taylor JF, Larkin DM. Scans for signatures of selection in Russian cattle breed genomes reveal new candidate genes for environmental adaptation and acclimation. Sci Rep 2018; 8:12984. [PMID: 30154520 PMCID: PMC6113280 DOI: 10.1038/s41598-018-31304-w] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 08/16/2018] [Indexed: 01/08/2023] Open
Abstract
Domestication and selective breeding has resulted in over 1000 extant cattle breeds. Many of these breeds do not excel in important traits but are adapted to local environments. These adaptations are a valuable source of genetic material for efforts to improve commercial breeds. As a step toward this goal we identified candidate regions to be under selection in genomes of nine Russian native cattle breeds adapted to survive in harsh climates. After comparing our data to other breeds of European and Asian origins we found known and novel candidate genes that could potentially be related to domestication, economically important traits and environmental adaptations in cattle. The Russian cattle breed genomes contained regions under putative selection with genes that may be related to adaptations to harsh environments (e.g., AQP5, RAD50, and RETREG1). We found genomic signatures of selective sweeps near key genes related to economically important traits, such as the milk production (e.g., DGAT1, ABCG2), growth (e.g., XKR4), and reproduction (e.g., CSF2). Our data point to candidate genes which should be included in future studies attempting to identify genes to improve the extant breeds and facilitate generation of commercial breeds that fit better into the environments of Russia and other countries with similar climates.
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Affiliation(s)
- Andrey A Yurchenko
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), 630090, Novosibirsk, Russia
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Hans D Daetwyler
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, 3083, Victoria, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, 3083, Victoria, Australia
| | - Nikolay Yudin
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), 630090, Novosibirsk, Russia
| | - Robert D Schnabel
- Division of Animal Sciences, University of Missouri, Columbia, MO, 65211-5300, USA
| | - Christy J Vander Jagt
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, 3083, Victoria, Australia
| | | | | | - Ruslan Popov
- Yakutian Research Institute of Agriculture, 677001, Yakutsk, Russia
| | - Jeremy F Taylor
- Division of Animal Sciences, University of Missouri, Columbia, MO, 65211-5300, USA
| | - Denis M Larkin
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), 630090, Novosibirsk, Russia.
- Royal Veterinary College, University of London, NW01 0TU, London, UK.
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