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Irastorza-Azcarate I, Kukalev A, Kempfer R, Thieme CJ, Mastrobuoni G, Markowski J, Loof G, Sparks TM, Brookes E, Natarajan KN, Sauer S, Fisher AG, Nicodemi M, Ren B, Schwarz RF, Kempa S, Pombo A. Extensive folding variability between homologous chromosomes in mammalian cells. Mol Syst Biol 2025:10.1038/s44320-025-00107-3. [PMID: 40329044 DOI: 10.1038/s44320-025-00107-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 03/31/2025] [Accepted: 04/10/2025] [Indexed: 05/08/2025] Open
Abstract
Genetic variation and 3D chromatin structure have major roles in gene regulation. Due to challenges in mapping chromatin conformation with haplotype-specific resolution, the effects of genetic sequence variation on 3D genome structure and gene expression imbalance remain understudied. Here, we applied Genome Architecture Mapping (GAM) to a hybrid mouse embryonic stem cell (mESC) line with high density of single-nucleotide polymorphisms (SNPs). GAM resolved haplotype-specific 3D genome structures with high sensitivity, revealing extensive allelic differences in chromatin compartments, topologically associating domains (TADs), long-range enhancer-promoter contacts, and CTCF loops. Architectural differences often coincide with allele-specific differences in gene expression, and with Polycomb occupancy. We show that histone genes are expressed with allelic imbalance in mESCs, and are involved in haplotype-specific chromatin contacts marked by H3K27me3. Conditional knockouts of Polycomb enzymatic subunits, Ezh2 or Ring1, show that one-third of ASE genes, including histone genes, is regulated through Polycomb repression. Our work reveals highly distinct 3D folding structures between homologous chromosomes, and highlights their intricate connections with allelic gene expression.
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Affiliation(s)
- Ibai Irastorza-Azcarate
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, 10115, Berlin, Germany.
| | - Alexander Kukalev
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, 10115, Berlin, Germany
| | - Rieke Kempfer
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, 10115, Berlin, Germany
- Humboldt-Universität zu Berlin, Berlin, Germany
- Sophia Genetics SA, A-One Park, Rolle, 1180, Switzerland
| | - Christoph J Thieme
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, 10115, Berlin, Germany
| | - Guido Mastrobuoni
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Proteomics and Metabolomic Platform, 10115, Berlin, Germany
| | - Julia Markowski
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, 10115, Berlin, Germany
- Humboldt-Universität zu Berlin, Berlin, Germany
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Evolutionary and Cancer Genomics Group, 10115, Berlin, Germany
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Gesa Loof
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, 10115, Berlin, Germany
- Humboldt-Universität zu Berlin, Berlin, Germany
- Aix Marseille Univ, CNRS, IBDM (UMR 7288), Turing Centre for Living Systems, Marseille, France
| | - Thomas M Sparks
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, 10115, Berlin, Germany
| | - Emily Brookes
- MRC Laboratory of Medical Sciences, Imperial College London, London, W12 0NN, UK
- School of Biological Sciences, University of Southampton, Southampton, UK
| | - Kedar Nath Natarajan
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, 10115, Berlin, Germany
- MRC Laboratory of Medical Sciences, Imperial College London, London, W12 0NN, UK
- DTU Bioengineering, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Stephan Sauer
- MRC Laboratory of Medical Sciences, Imperial College London, London, W12 0NN, UK
- Regeneron Ireland DAC, Dublin 2, D02 HH27, Ireland
| | - Amanda G Fisher
- MRC Laboratory of Medical Sciences, Imperial College London, London, W12 0NN, UK
- Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, UK
| | - Mario Nicodemi
- Dipartimento di Fisica, Università di Napoli "Federico II", and INFN, Napoli, Italy
| | - Bing Ren
- Center for Epigenomics and Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Roland F Schwarz
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Evolutionary and Cancer Genomics Group, 10115, Berlin, Germany
- Institute for Computational Cancer Biology (ICCB), Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), Cologne, Germany
- BIFOLD-Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
| | - Stefan Kempa
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Proteomics and Metabolomic Platform, 10115, Berlin, Germany
| | - Ana Pombo
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, 10115, Berlin, Germany.
- Humboldt-Universität zu Berlin, Berlin, Germany.
- MRC Laboratory of Medical Sciences, Imperial College London, London, W12 0NN, UK.
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA.
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Irastorza-Azcarate I, Kukalev A, Kempfer R, Thieme CJ, Mastrobuoni G, Markowski J, Loof G, Sparks TM, Brookes E, Natarajan KN, Sauer S, Fisher AG, Nicodemi M, Ren B, Schwarz RF, Kempa S, Pombo A. Extensive folding variability between homologous chromosomes in mammalian cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.08.591087. [PMID: 38766012 PMCID: PMC11100664 DOI: 10.1101/2024.05.08.591087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Genetic variation and 3D chromatin structure have major roles in gene regulation. Due to challenges in mapping chromatin conformation with haplotype-specific resolution, the effects of genetic sequence variation on 3D genome structure and gene expression imbalance remain understudied. Here, we applied Genome Architecture Mapping (GAM) to a hybrid mouse embryonic stem cell (mESC) line with high density of single nucleotide polymorphisms (SNPs). GAM resolved haplotype-specific 3D genome structures with high sensitivity, revealing extensive allelic differences in chromatin compartments, topologically associating domains (TADs), long-range enhancer-promoter contacts, and CTCF loops. Architectural differences often coincide with allele-specific differences in gene expression, mediated by Polycomb repression. We show that histone genes are expressed with allelic imbalance in mESCs, are involved in haplotype-specific chromatin contact marked by H3K27me3, and are targets of Polycomb repression through conditional knockouts of Ezh2 or Ring1b. Our work reveals highly distinct 3D folding structures between homologous chromosomes, and highlights their intricate connections with allelic gene expression.
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Tomlinson MJ, Polson SW, Qiu J, Lake JA, Lee W, Abasht B. Investigation of allele specific expression in various tissues of broiler chickens using the detection tool VADT. Sci Rep 2021; 11:3968. [PMID: 33597613 PMCID: PMC7889858 DOI: 10.1038/s41598-021-83459-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 02/01/2021] [Indexed: 12/30/2022] Open
Abstract
Differential abundance of allelic transcripts in a diploid organism, commonly referred to as allele specific expression (ASE), is a biologically significant phenomenon and can be examined using single nucleotide polymorphisms (SNPs) from RNA-seq. Quantifying ASE aids in our ability to identify and understand cis-regulatory mechanisms that influence gene expression, and thereby assist in identifying causal mutations. This study examines ASE in breast muscle, abdominal fat, and liver of commercial broiler chickens using variants called from a large sub-set of the samples (n = 68). ASE analysis was performed using a custom software called VCF ASE Detection Tool (VADT), which detects ASE of biallelic SNPs using a binomial test. On average ~ 174,000 SNPs in each tissue passed our filtering criteria and were considered informative, of which ~ 24,000 (~ 14%) showed ASE. Of all ASE SNPs, only 3.7% exhibited ASE in all three tissues, with ~ 83% showing ASE specific to a single tissue. When ASE genes (genes containing ASE SNPs) were compared between tissues, the overlap among all three tissues increased to 20.1%. Our results indicate that ASE genes show tissue-specific enrichment patterns, but all three tissues showed enrichment for pathways involved in translation.
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Affiliation(s)
- M Joseph Tomlinson
- Department of Animal and Food Sciences, University of Delaware, 531 South College Ave, Newark, DE, 19716, USA.,Center for Bioinformatics and Computational Biology, University of Delaware, Newark, USA
| | - Shawn W Polson
- Department of Computer and Information Sciences, University of Delaware, Newark, USA.,Department of Biological Sciences, University of Delaware, Newark, USA.,Center for Bioinformatics and Computational Biology, University of Delaware, Newark, USA
| | - Jing Qiu
- Department of Applied Economics and Statistics, University of Delaware, Newark, USA.,Center for Bioinformatics and Computational Biology, University of Delaware, Newark, USA
| | - Juniper A Lake
- Department of Animal and Food Sciences, University of Delaware, 531 South College Ave, Newark, DE, 19716, USA.,Center for Bioinformatics and Computational Biology, University of Delaware, Newark, USA
| | - William Lee
- Maple Leaf Farms, Inc., Leesburg, IN, 46538, USA
| | - Behnam Abasht
- Department of Animal and Food Sciences, University of Delaware, 531 South College Ave, Newark, DE, 19716, USA. .,Center for Bioinformatics and Computational Biology, University of Delaware, Newark, USA.
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Grabowska AI, Boroń A, Kirtiklis L, Spóz A, Juchno D, Kotusz J. Chromosomal inheritance of parental rDNAs distribution pattern detected by FISH in diploid F 1 hybrid progeny of Cobitis (Teleostei, Cobitidae) species has non-Mendelian character. JOURNAL OF FISH BIOLOGY 2020; 96:261-273. [PMID: 31755097 DOI: 10.1111/jfb.14216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 11/21/2019] [Indexed: 06/10/2023]
Abstract
This study was conducted to describe the major and the minor rDNA chromosome distribution in the spined loach Cobitis taenia (2n = 48) and the Danubian loach Cobitis elongatoides (2n = 50), and their laboratory-produced diploid reciprocal F1 hybrid progeny. It was tested by fluorescence in situ hybridisation (FISH) whether the number of 28s and 5s rDNA sites in the karyotypes of diploid hybrids corresponds to the expectations resulting from Mendelian ratio and if nucleolar organiser regions (NOR)were inherited from both parents or nucleolar dominance can be observed in the induced F1 hybrid progeny. Ten (females) or twelve (males) 28s rDNA loci were located in nine uniarm chromosomes of C. taenia. Two of such loci terminally bounded on one acrocentric chromosome were unique and indicated as specific for this species. Large 5s rDNA clusters were located on two acrocentric chromosomes. In C. elongatoides of both sexes, six NOR sites in terminal regions on six meta-submetacentric chromosomes and two 5s rDNA sites on large submetacentrics were detected. The F1 hybrid progeny (2n = 49) was characterised by the intermediate karyotype with the sites of ribosome synthesis on chromosomes inherited from both parents without showing nucleolar dominance. 5s rDNA sites were detected on large submetacentric and two acrocentric chromosomes. The observed number of both 28s and 5s rDNAs signals in F1 diploid Cobitis hybrids was disproportionally inherited from the two parental species, showing inconsistency with the Mendelian ratios. The presented rDNA patterns indicate some marker chromosomes that allow the species of the parental male and female to be recognised in hybrid progeny. The 5s rDNA was found to be a particularly effective diagnostic marker of C. elongatoides to partially discern genomic composition of diploid Cobitis hybrids and presumably allopolyploids resulting from their backcrossing with one of the parental species. Thus, the current study provides insight into the extent of rDNA heredity in Cobitis chromosomes and their cytotaxonomic character.
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Affiliation(s)
- Anna I Grabowska
- Department of Zoology, University of Warmia and Mazury, Olsztyn, Poland
| | - Alicja Boroń
- Department of Zoology, University of Warmia and Mazury, Olsztyn, Poland
| | - Lech Kirtiklis
- Department of Zoology, University of Warmia and Mazury, Olsztyn, Poland
| | - Aneta Spóz
- Department of Zoology, University of Warmia and Mazury, Olsztyn, Poland
| | - Dorota Juchno
- Department of Zoology, University of Warmia and Mazury, Olsztyn, Poland
| | - Jan Kotusz
- Museum of Natural History, University of Wroclaw, Wroclaw, Poland
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Zhang G, Li J, Zhang J, Liang X, Zhang X, Wang T, Yin S. Integrated Analysis of Transcriptomic, miRNA and Proteomic Changes of a Novel Hybrid Yellow Catfish Uncovers Key Roles for miRNAs in Heterosis. Mol Cell Proteomics 2019; 18:1437-1453. [PMID: 31092672 PMCID: PMC6601203 DOI: 10.1074/mcp.ra118.001297] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 04/09/2019] [Indexed: 01/14/2023] Open
Abstract
Heterosis is a complex biological phenomenon in which hybridization produces offspring that exhibit superior phenotypic characteristics compared with the parents. Heterosis is widely utilized in agriculture, for example in fish farming; however, its underlying molecular basis remains elusive. To gain a comprehensive and unbiased molecular understanding of fish heterosis, we analyzed the mRNA, miRNA, and proteomes of the livers of three catfish species, Pelteobagrus fulvidraco, P. vachelli, and their hybrid, the hybrid yellow catfish "Huangyou-1" (P. fulvidraco ♀ × P. vachelli ♂). Using next-generation sequencing and mass spectrometry, we show that the nonadditive, homoeolog expression bias and expression level dominance pattern were readily identified at the transcriptional, post-transcriptional, or protein levels, providing the evidence for the widespread presence of dominant models during hybridization. A number of predicted miRNA-mRNA-protein pairs were found and validated by qRT-PCR and PRM assays. Furthermore, several diverse key pathways were identified, including immune defense, metabolism, digestion and absorption, and cell proliferation and development, suggesting the vital mechanisms involved in the generation of the heterosis phenotype in progenies. We propose that the high parental expression of genes/proteins (growth, nutrition, feeding, and disease resistance) coupled with low parental miRNAs of the offspring, are inherited from the mother or father, thus indicating that the offspring were enriched with the advantages of the father or mother. We provide new and important information about the molecular mechanisms of heterosis, which represents a significant step toward a more complete elucidation of this phenomenon.
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Affiliation(s)
- Guosong Zhang
- From the ‡College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China;; §Key Laboratory for Physiology Biochemistry and Application, School of Agriculture and Bioengineering, Heze University, Heze, Shandong 274015, China
| | - Jie Li
- From the ‡College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China;; ¶Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang, 222005, China
| | - Jiajia Zhang
- From the ‡College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China;; ¶Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang, 222005, China
| | - Xia Liang
- §Key Laboratory for Physiology Biochemistry and Application, School of Agriculture and Bioengineering, Heze University, Heze, Shandong 274015, China
| | - Xinyu Zhang
- From the ‡College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China;; ¶Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang, 222005, China
| | - Tao Wang
- From the ‡College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China;; ¶Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang, 222005, China
| | - Shaowu Yin
- From the ‡College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China;; ¶Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang, 222005, China.
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Campbell MA, Tapper BA, Simpson WR, Johnson RD, Mace W, Ram A, Lukito Y, Dupont PY, Johnson LJ, Scott DB, Ganley ARD, Cox MP. Epichloë hybrida, sp. nov., an emerging model system for investigating fungal allopolyploidy. Mycologia 2018; 109:715-729. [PMID: 29370579 DOI: 10.1080/00275514.2017.1406174] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Endophytes of the genus Epichloë (Clavicipitaceae, Ascomycota) frequently occur within cool-season grasses and form interactions with their hosts that range from mutualistic to antagonistic. Many Epichloë species have arisen via interspecific hybridization, resulting in species with two or three subgenomes that retain all or nearly all of their original parental genomes, a process termed allopolyploidization. Here, we characterize Epichloë hybrida, sp. nov., a mutualistic species that has increasingly become a model system for investigating allopolyploidy in fungi. The Epichloë species so far identified as the closest known relatives of the two progenitors of E. hybrida are E. festucae var. lolii and E. typhina. We confirm that the nuclear genome of E. hybrida contains two homeologs of most protein-coding genes from E. festucae and E. typhina, with genome-wide gene expression analysis indicating a slight bias in overall gene expression from the E. typhina subgenome. Mitochondrial DNA is detectable only from E. festucae, whereas ribosomal DNA is detectable only from E. typhina. Inheriting ribosomal DNA from just one parent might be expected to preferentially favor interactions with ribosomal proteins from the same parent, but we find that ribosomal protein genes from both parental subgenomes are nearly all expressed equally in E. hybrida. Finally, we provide a comprehensive set of resources for this model system that are intended to facilitate further study of fungal hybridization by other researchers.
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Affiliation(s)
- Matthew A Campbell
- a Institute of Fundamental Sciences, Massey University , Private Bag 11 222, Palmerston North 4410 , New Zealand
| | - Brian A Tapper
- b AgResearch Ltd., Grasslands Research Centre , Tennent Drive, Palmerston North 4442 , New Zealand
| | - Wayne R Simpson
- b AgResearch Ltd., Grasslands Research Centre , Tennent Drive, Palmerston North 4442 , New Zealand
| | - Richard D Johnson
- b AgResearch Ltd., Grasslands Research Centre , Tennent Drive, Palmerston North 4442 , New Zealand
| | - Wade Mace
- b AgResearch Ltd., Grasslands Research Centre , Tennent Drive, Palmerston North 4442 , New Zealand
| | - Arvina Ram
- a Institute of Fundamental Sciences, Massey University , Private Bag 11 222, Palmerston North 4410 , New Zealand
| | - Yonathan Lukito
- a Institute of Fundamental Sciences, Massey University , Private Bag 11 222, Palmerston North 4410 , New Zealand
| | - Pierre-Yves Dupont
- a Institute of Fundamental Sciences, Massey University , Private Bag 11 222, Palmerston North 4410 , New Zealand
| | - Linda J Johnson
- b AgResearch Ltd., Grasslands Research Centre , Tennent Drive, Palmerston North 4442 , New Zealand
| | - D Barry Scott
- a Institute of Fundamental Sciences, Massey University , Private Bag 11 222, Palmerston North 4410 , New Zealand
| | - Austen R D Ganley
- c School of Biological Sciences, University of Auckland , Private Bag 92019, Auckland 1142 , New Zealand
| | - Murray P Cox
- a Institute of Fundamental Sciences, Massey University , Private Bag 11 222, Palmerston North 4410 , New Zealand
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Al-Tobasei R, Ali A, Leeds TD, Liu S, Palti Y, Kenney B, Salem M. Identification of SNPs associated with muscle yield and quality traits using allelic-imbalance analyses of pooled RNA-Seq samples in rainbow trout. BMC Genomics 2017; 18:582. [PMID: 28784089 PMCID: PMC5547479 DOI: 10.1186/s12864-017-3992-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Accepted: 08/01/2017] [Indexed: 12/22/2022] Open
Abstract
Background Coding/functional SNPs change the biological function of a gene and, therefore, could serve as “large-effect” genetic markers. In this study, we used two bioinformatics pipelines, GATK and SAMtools, for discovering coding/functional SNPs with allelic-imbalances associated with total body weight, muscle yield, muscle fat content, shear force, and whiteness. Phenotypic data were collected for approximately 500 fish, representing 98 families (5 fish/family), from a growth-selected line, and the muscle transcriptome was sequenced from 22 families with divergent phenotypes (4 low- versus 4 high-ranked families per trait). Results GATK detected 59,112 putative SNPs; of these SNPs, 4798 showed allelic imbalances (>2.0 as an amplification and <0.5 as loss of heterozygosity). SAMtools detected 87,066 putative SNPs; and of them, 4962 had allelic imbalances between the low- and high-ranked families. Only 1829 SNPs with allelic imbalances were common between the two datasets, indicating significant differences in algorithms. The two datasets contained 7930 non-redundant SNPs of which 4439 mapped to 1498 protein-coding genes (with 6.4% non-synonymous SNPs) and 684 mapped to 295 lncRNAs. Validation of a subset of 92 SNPs revealed 1) 86.7–93.8% success rate in calling polymorphic SNPs and 2) 95.4% consistent matching between DNA and cDNA genotypes indicating a high rate of identifying SNPs with allelic imbalances. In addition, 4.64% SNPs revealed random monoallelic expression. Genome distribution of the SNPs with allelic imbalances exhibited high density for all five traits in several chromosomes, especially chromosome 9, 20 and 28. Most of the SNP-harboring genes were assigned to important growth-related metabolic pathways. Conclusion These results demonstrate utility of RNA-Seq in assessing phenotype-associated allelic imbalances in pooled RNA-Seq samples. The SNPs identified in this study were included in a new SNP-Chip design (available from Affymetrix) for genomic and genetic analyses in rainbow trout. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3992-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rafet Al-Tobasei
- Computational Science Program, Middle Tennessee State University, Murfreesboro, TN, 37132, USA
| | - Ali Ali
- Department of Biology and Molecular Biosciences Program, Middle Tennessee State University, Murfreesboro, TN, 37132, USA
| | - Timothy D Leeds
- National Center for Cool and Cold Water Aquaculture, ARS-USDA, Kearneysville, WV, 25430, USA
| | - Sixin Liu
- National Center for Cool and Cold Water Aquaculture, ARS-USDA, Kearneysville, WV, 25430, USA
| | - Yniv Palti
- National Center for Cool and Cold Water Aquaculture, ARS-USDA, Kearneysville, WV, 25430, USA
| | - Brett Kenney
- Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV, 26506, USA
| | - Mohamed Salem
- Computational Science Program, Middle Tennessee State University, Murfreesboro, TN, 37132, USA. .,Department of Biology and Molecular Biosciences Program, Middle Tennessee State University, Murfreesboro, TN, 37132, USA.
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