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Braz CU, Passamonti MM, Khatib H. Characterization of genomic regions escaping epigenetic reprogramming in sheep. ENVIRONMENTAL EPIGENETICS 2023; 10:dvad010. [PMID: 38496251 PMCID: PMC10944287 DOI: 10.1093/eep/dvad010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 12/04/2023] [Accepted: 12/15/2023] [Indexed: 03/19/2024]
Abstract
The mammalian genome undergoes two global epigenetic reprogramming events during the establishment of primordial germ cells and in the pre-implantation embryo after fertilization. These events involve the erasure and re-establishment of DNA methylation marks. However, imprinted genes and transposable elements (TEs) maintain their DNA methylation signatures to ensure normal embryonic development and genome stability. Despite extensive research in mice and humans, there is limited knowledge regarding environmentally induced epigenetic marks that escape epigenetic reprogramming in other species. Therefore, the objective of this study was to examine the characteristics and locations of genomic regions that evade epigenetic reprogramming in sheep, as well as to explore the biological functions of the genes within these regions. In a previous study, we identified 107 transgenerationally inherited differentially methylated cytosines (DMCs) in the F1 and F2 generations in response to a paternal methionine-supplemented diet. These DMCs were found in TEs, non-repetitive regions, and imprinted and non-imprinted genes. Our findings suggest that genomic regions, rather than TEs and imprinted genes, have the propensity to escape reprogramming and serve as potential candidates for transgenerational epigenetic inheritance. Notably, 34 transgenerational methylated genes influenced by paternal nutrition escaped reprogramming, impacting growth, development, male fertility, cardiac disorders, and neurodevelopment. Intriguingly, among these genes, 21 have been associated with neural development and brain disorders, such as autism, schizophrenia, bipolar disease, and intellectual disability. This suggests a potential genetic overlap between brain and infertility disorders. Overall, our study supports the concept of transgenerational epigenetic inheritance of environmentally induced marks in mammals.
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Affiliation(s)
- Camila U Braz
- Department of Animal Sciences, University of Illinois Urbana–Champaign, Urbana, IL 61801, USA
| | - Matilde Maria Passamonti
- Department of Animal Science, Food and Nutrition, Universit’a Cattolica del Sacro Cuore, Piacenza, 29122, Italy
| | - Hasan Khatib
- Department of Animal and Dairy Sciences, University of Wisconsin–Madison, Madison, WI 53706, USA
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Genetic association study between Astrotactin-2 (ASTN2) rs10817999 gene polymorphism and attention deficit hyperactivity disorder in Korean children. GENE REPORTS 2023. [DOI: 10.1016/j.genrep.2023.101751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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3
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Liu M, Yu C, Zhang Z, Song M, Sun X, Piálek J, Jacob J, Lu J, Cong L, Zhang H, Wang Y, Li G, Feng Z, Du Z, Wang M, Wan X, Wang D, Wang YL, Li H, Wang Z, Zhang B, Zhang Z. Whole-genome sequencing reveals the genetic mechanisms of domestication in classical inbred mice. Genome Biol 2022; 23:203. [PMID: 36163035 PMCID: PMC9511766 DOI: 10.1186/s13059-022-02772-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/12/2022] [Indexed: 11/10/2022] Open
Abstract
Background The laboratory mouse was domesticated from the wild house mouse. Understanding the genetics underlying domestication in laboratory mice, especially in the widely used classical inbred mice, is vital for studies using mouse models. However, the genetic mechanism of laboratory mouse domestication remains unknown due to lack of adequate genomic sequences of wild mice. Results We analyze the genetic relationships by whole-genome resequencing of 36 wild mice and 36 inbred strains. All classical inbred mice cluster together distinctly from wild and wild-derived inbred mice. Using nucleotide diversity analysis, Fst, and XP-CLR, we identify 339 positively selected genes that are closely associated with nervous system function. Approximately one third of these positively selected genes are highly expressed in brain tissues, and genetic mouse models of 125 genes in the positively selected genes exhibit abnormal behavioral or nervous system phenotypes. These positively selected genes show a higher ratio of differential expression between wild and classical inbred mice compared with all genes, especially in the hippocampus and frontal lobe. Using a mutant mouse model, we find that the SNP rs27900929 (T>C) in gene Astn2 significantly reduces the tameness of mice and modifies the ratio of the two Astn2 (a/b) isoforms. Conclusion Our study indicates that classical inbred mice experienced high selection pressure during domestication under laboratory conditions. The analysis shows the positively selected genes are closely associated with behavior and the nervous system in mice. Tameness may be related to the Astn2 mutation and regulated by the ratio of the two Astn2 (a/b) isoforms. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02772-1.
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Affiliation(s)
- Ming Liu
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,International Society of Zoological Sciences, Beijing, China.,State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Caixia Yu
- Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.,National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Zhichao Zhang
- Novogene Bioinformatics Institute, Beijing, China.,Glbizzia Biosciences, Beijing, China
| | - Mingjing Song
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiuping Sun
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing, China
| | - Jaroslav Piálek
- House Mouse Group, Research Facility Studenec, Institute of Vertebrate Biology of the Czech Academy of Sciences, Brno, Czech Republic
| | - Jens Jacob
- Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Horticulture and Forests / Institute for Epidemiology and Pathogen Diagnostics, Münster, Germany
| | - Jiqi Lu
- School of Life Science, Zhengzhou University, Zhengzhou, Henan, China
| | - Lin Cong
- Institute of Plant Protection, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China
| | - Hongmao Zhang
- School of Life Sciences, Central China Normal University, Wuhan, Hubei, China
| | - Yong Wang
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
| | - Guoliang Li
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
| | - Zhiyong Feng
- Plant Protection Research Institute Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Zhenglin Du
- Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.,National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Meng Wang
- Novogene Bioinformatics Institute, Beijing, China
| | - Xinru Wan
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Dawei Wang
- Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yan-Ling Wang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Hongjun Li
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Zuoxin Wang
- Department of Psychology and Program in Neuroscience, Florida State University, Tallahassee, FL, 32306, USA
| | - Bing Zhang
- Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.
| | - Zhibin Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China. .,International Society of Zoological Sciences, Beijing, China. .,CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China.
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Kim SK, Nguyen C, Jones KB, Tashjian RZ. A genome-wide association study for shoulder impingement and rotator cuff disease. J Shoulder Elbow Surg 2021; 30:2134-2145. [PMID: 33482370 DOI: 10.1016/j.jse.2020.11.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 11/15/2020] [Accepted: 11/19/2020] [Indexed: 02/01/2023]
Abstract
BACKGROUND The purpose of the study was to identify genetic variants associated with rotator cuff disease by performing a genome-wide association study (GWAS) for shoulder impingement using the UK Biobank (UKB) cohort and then combining the GWAS data with a prior GWAS for rotator cuff tears. The loci identified by the GWAS and meta-analysis were examined for changes in expression following rotator cuff tearing using RNA sequencing. METHODS A GWAS was performed using data from UKB with 3864 cases of shoulder impingement. The summary statistics from shoulder impingement and a prior study on rotator cuff tears were combined in a meta-analysis. Also, the previous association of 2 single-nucleotide polymorphisms (SNPs) with shoulder impingement from a published GWAS using the UKB was tested. Rotator cuff tendon biopsies were obtained from 24 patients with full-thickness rotator cuff tears who underwent arthroscopic rotator cuff repair (cases) and 9 patients who underwent open reduction internal fixation for a proximal humeral fracture (controls). Total RNA was extracted and differential gene expression was measured by RNA sequencing for genes with variants associated with rotator cuff tearing. RESULTS The shoulder impingement GWAS identified 4 new loci: LOC100506457, LSP1P3, LOC100506207, and MIS18BP1/LINC00871. Combining data with a prior GWAS for rotator cuff tears in a meta-analysis resulted in the identification of an additional 7 loci: SLC39A8/UBE2D3, C5orf63, ASTN2, STK24, FRMPD4, ACOT9/SAT1, and LINC00890/ALG13. Many of the identified loci have known biologic functions or prior associations with diseases, suggesting possible biologic pathways leading to rotator cuff disease. RNA sequencing experiments show that expression of STK24 increases whereas expression of SAT1 and UBE2D3 decreases following rotator cuff tearing. Two SNPs previously reported to show an association with shoulder impingement from a prior UKB GWAS were not validated in our study. CONCLUSION This is the first GWAS for shoulder impingement in which new data from UKB enabled the identification of 4 loci showing a genetic association. A meta-analysis with a prior GWAS for rotator cuff tearing identified an additional 7 loci. The known biologic roles of many of the 11 loci suggest plausible biologic mechanisms underlying the etiology of rotator cuff disease. The risk alleles from each of the genetic loci can be used to assess the risk for rotator cuff disease in individual patients, enabling preventative or restorative actions via personalized medicine.
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Affiliation(s)
- Stuart K Kim
- Department of Developmental Biology, Stanford University Medical School, Stanford, CA, USA
| | - Condor Nguyen
- Department of Developmental Biology, Stanford University Medical School, Stanford, CA, USA
| | - Kevin B Jones
- Department of Orthopaedics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Robert Z Tashjian
- Department of Orthopaedics, University of Utah School of Medicine, Salt Lake City, UT, USA.
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Inoue R, Nishizawa D, Hasegawa J, Nakayama K, Fukuda KI, Ichinohe T, Mieda T, Tsujita M, Nakagawa H, Kitamura A, Sumikura H, Ikeda K, Hayashida M. Effects of rs958804 and rs7858836 single-nucleotide polymorphisms of the ASTN2 gene on pain-related phenotypes in patients who underwent laparoscopic colectomy and mandibular sagittal split ramus osteotomy. Neuropsychopharmacol Rep 2021; 41:82-90. [PMID: 33476460 PMCID: PMC8182957 DOI: 10.1002/npr2.12159] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/04/2021] [Accepted: 01/05/2021] [Indexed: 01/10/2023] Open
Abstract
Background Opioids are widely used as effective analgesics, but opioid sensitivity varies widely among individuals. The underlying genetic and nongenetic factors are not fully understood. Based on the results of our previous genome‐wide association study, we investigated the effects of single nucleotide polymorphisms (SNPs) of the astrotactin 2 (ASTN2) gene on pain‐related phenotypes in surgical patients. Methods We investigated the effects of two SNPs, rs958804 T/C and rs7858836 C/T, of the ASTN2 gene on eight and seven pain‐related phenotypes in 350 patients who underwent laparoscopic colectomy (LAC) and 358 patients who underwent mandibular sagittal split ramus osteotomy (SSRO), respectively. In both surgical groups, intravenous fentanyl patient‐controlled analgesia (PCA) was used for postoperative analgesia, and 24‐hour postoperative PCA fentanyl use was the primary endpoint. Results The association analyses among the two SNPs and pain‐related traits showed that 24‐hour fentanyl use was significantly associated with the two SNP genotypes in both surgical groups. The Mann‐Whitney test showed that 24‐hour fentanyl use was lower in patients with the C allele than in patients with the TT genotype of the rs958804 T/C SNP (P = .0019 and .0200 in LAC and SSRO patients, respectively), and it was lower in patients with the T allele than in patients with the CC genotype of the rs7858836 C/T SNP (P = .0017 and .0098 in LAC and SSRO patients, respectively). Conclusion The two SNPs of the ASTN2 gene were consistently associated with fentanyl requirements after two different types of surgery. These findings may contribute to personalized pain control. We investigated the effects of two SNPs, rs958804 T/C and rs7858836 C/T, which are located in the same LD block of the ASTN2 gene, on pain‐related phenotypes in two groups of patients who underwent laparoscopic colectomy and mandibular sagittal split ramus osteotomy. We found that these SNPs consistently reduced fentanyl requirements for postoperative analgesia, possibly by enhancing the analgesic effect of fentanyl.![]()
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Affiliation(s)
- Rie Inoue
- Department of Anesthesiology and Pain Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan.,Addictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Daisuke Nishizawa
- Addictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Junko Hasegawa
- Addictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Kyoko Nakayama
- Addictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Ken-Ichi Fukuda
- Department of Oral Health and Clinical Science, Tokyo Dental College, Tokyo, Japan
| | - Tatsuya Ichinohe
- Department of Dental Anesthesiology, Tokyo Dental College, Tokyo, Japan
| | - Tsutomu Mieda
- Department of Anesthesiology, Saitama Medical University Hospital, Saitama, Japan
| | - Miki Tsujita
- Department of Anesthesiology, Saitama Medical University International Medical Center, Saitama, Japan
| | - Hideyuki Nakagawa
- Department of Anesthesiology, Saitama Medical University International Medical Center, Saitama, Japan
| | - Akira Kitamura
- Department of Anesthesiology, Saitama Medical University International Medical Center, Saitama, Japan
| | - Hiroyuki Sumikura
- Department of Anesthesiology and Pain Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Kazutaka Ikeda
- Addictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Masakazu Hayashida
- Department of Anesthesiology and Pain Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan.,Addictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.,Department of Anesthesiology, Saitama Medical University International Medical Center, Saitama, Japan
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Investigation of gene-gene interactions in cardiac traits and serum fatty acid levels in the LURIC Health Study. PLoS One 2020; 15:e0238304. [PMID: 32915819 PMCID: PMC7485803 DOI: 10.1371/journal.pone.0238304] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 08/13/2020] [Indexed: 01/25/2023] Open
Abstract
Epistasis analysis elucidates the effects of gene-gene interactions (G×G) between multiple loci for complex traits. However, the large computational demands and the high multiple testing burden impede their discoveries. Here, we illustrate the utilization of two methods, main effect filtering based on individual GWAS results and biological knowledge-based modeling through Biofilter software, to reduce the number of interactions tested among single nucleotide polymorphisms (SNPs) for 15 cardiac-related traits and 14 fatty acids. We performed interaction analyses using the two filtering methods, adjusting for age, sex, body mass index (BMI), waist-hip ratio, and the first three principal components from genetic data, among 2,824 samples from the Ludwigshafen Risk and Cardiovascular (LURIC) Health Study. Using Biofilter, one interaction nearly met Bonferroni significance: an interaction between rs7735781 in XRCC4 and rs10804247 in XRCC5 was identified for venous thrombosis with a Bonferroni-adjusted likelihood ratio test (LRT) p: 0.0627. A total of 57 interactions were identified from main effect filtering for the cardiac traits G×G (10) and fatty acids G×G (47) at Bonferroni-adjusted LRT p < 0.05. For cardiac traits, the top interaction involved SNPs rs1383819 in SNTG1 and rs1493939 (138kb from 5’ of SAMD12) with Bonferroni-adjusted LRT p: 0.0228 which was significantly associated with history of arterial hypertension. For fatty acids, the top interaction between rs4839193 in KCND3 and rs10829717 in LOC107984002 with Bonferroni-adjusted LRT p: 2.28×10−5 was associated with 9-trans 12-trans octadecanoic acid, an omega-6 trans fatty acid. The model inflation factor for the interactions under different filtering methods was evaluated from the standard median and the linear regression approach. Here, we applied filtering approaches to identify numerous genetic interactions related to cardiac-related outcomes as potential targets for therapy. The approaches described offer ways to detect epistasis in the complex traits and to improve precision medicine capability.
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Chang H. Cleave but not leave: Astrotactin proteins in development and disease. IUBMB Life 2017; 69:572-577. [PMID: 28517363 DOI: 10.1002/iub.1641] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 05/01/2017] [Accepted: 05/02/2017] [Indexed: 01/12/2023]
Abstract
Over the years, animal studies have identified astrotactins as important membrane proteins for glial-guided neuronal migration during central nervous system development and hair follicle polarity control during skin development. Biochemical studies have revealed intramembrane proteolysis as an important feature of astrotactins. The two fragments of astrotactins remain linked together by a disulfide bond after the proteolytic cleavage. In humans, mutations in astrotactin genes have also been linked to a wide range of diseases, including several developmental brain disorders, neurodegenerative diseases and cancer. In this review, I will summarize the current knowledge of the biological function of astrotactins in development, highlight the linkage between mutations in astrotactin genes and human disease and discuss several outstanding questions that remain unanswered. © 2017 IUBMB Life, 69(8):572-577, 2017.
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Affiliation(s)
- Hao Chang
- Department of Dermatology, University of Wisconsin-Madison, Madison, WI, USA
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Berkowicz SR, Giousoh A, Bird PI. Neurodevelopmental MACPFs: The vertebrate astrotactins and BRINPs. Semin Cell Dev Biol 2017; 72:171-181. [PMID: 28506896 DOI: 10.1016/j.semcdb.2017.05.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Revised: 04/27/2017] [Accepted: 05/11/2017] [Indexed: 02/06/2023]
Abstract
Astrotactins (ASTNs) and Bone morphogenetic protein/retinoic acid inducible neural-specific proteins (BRINPs) are two groups of Membrane Attack Complex/Perforin (MACPF) superfamily proteins that show overlapping expression in the developing and mature vertebrate nervous system. ASTN(1-2) and BRINP(1-3) genes are found at conserved loci in humans that have been implicated in neurodevelopmental disorders (NDDs). Here we review the tissue distribution and cellular localization of these proteins, and discuss recent studies that provide insight into their structure and interactions. We highlight the genetic relationships and co-expression of Brinps and Astns; and review recent knock-out mouse phenotypes that indicate a possible overlap in protein function between ASTNs and BRINPs.
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Affiliation(s)
- Susan R Berkowicz
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, 3800, Australia.
| | - Aminah Giousoh
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, 3800, Australia
| | - Phillip I Bird
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, 3800, Australia
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