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Silva VW, Hidalgo MMT, Appel RJC, Siqueira KN, Beirão J, Vilas-Boas LA, Pretto-Giordano LG, Joshi R, Fernandes JMDO, Martins MIM. Influence of extenders and antioxidants on Nile tilapia (Oreochromis niloticus) sperm parameters. Cryobiology 2025; 119:105253. [PMID: 40318451 DOI: 10.1016/j.cryobiol.2025.105253] [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: 12/28/2024] [Revised: 04/17/2025] [Accepted: 04/21/2025] [Indexed: 05/07/2025]
Abstract
This study aimed to evaluate the effects of different dilutions of extenders (ionic, glucose, and bicine) and antioxidant concentrations on Nile tilapia sperm kinetics and membrane integrity parameters (MI). Antioxidants tested included taurine (1, 5, and 50 mmol), uric acid (0.5, 1, and 5 mmol), reduced glutathione (1, 5, and 10 mmol), and ascorbic acid (1, 10, and 50 mmol). Initially, ejaculates from five Nile tilapia were collected, evaluated, and diluted in a ratio of 1:3 into three aliquots, each with ionic, glucose, or bicine extenders. The samples were stored at 4 °C for 60 min and evaluated for kinetics and MI. The ionic extender showed higher MI and progressive motility. Then, ejaculates of four fish were collected to test each antioxidant. The samples were diluted in a ratio of 1:3, into a control group (without antioxidants) and the three concentrations in an ionic extender plus methanol 10 %. The samples were frozen/thawed and evaluated for kinetics and MI. Taurine at 1 mmol showed higher total motility, cells with medium velocity, and lower static cells. No differences were found in uric acid concentrations tested. Reduced glutathione treatments resulted in higher membrane damage, number of static cells, and lower total motility. Ascorbic acid addition decreased total motility and increased the number of static cells. Therefore, the addition of 1 mmol taurine was suitable for Nile tilapia sperm cryopreservation. Uric acid in tested concentrations maintained the sperm parameters, while reduced glutathione and ascorbic acid decreased sperm quality.
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Affiliation(s)
- Vinícius Wagner Silva
- Agrarian Sciences Center, Veterinarian Clinics Department, State University of Londrina (UEL), Rod Celso Garcia Cid, PR 445 Km 380, 86057-970, Paraná, Brazil
| | - Myrian Megumy Tsunokawa Hidalgo
- Agrarian Sciences Center, Veterinarian Clinics Department, State University of Londrina (UEL), Rod Celso Garcia Cid, PR 445 Km 380, 86057-970, Paraná, Brazil
| | - Renan José Casarotto Appel
- Faculty of Bioscience and Aquaculture, Nord University, NO - 8049, Bodø, Norway; Biological Sciences Center, State University of Londrina (UEL), Rod Celso Garcia Cid, PR 445 Km 380, 86057-970, Paraná, Brazil
| | - Karine Nicole Siqueira
- Biological Sciences Center, State University of Londrina (UEL), Rod Celso Garcia Cid, PR 445 Km 380, 86057-970, Paraná, Brazil
| | - José Beirão
- Faculty of Bioscience and Aquaculture, Nord University, NO - 8049, Bodø, Norway
| | - Laurival Antônio Vilas-Boas
- Biological Sciences Center, State University of Londrina (UEL), Rod Celso Garcia Cid, PR 445 Km 380, 86057-970, Paraná, Brazil
| | - Lucienne Garcia Pretto-Giordano
- Agrarian Sciences Center, Preventive Veterinarian Medicine Department, State University of Londrina (UEL), Rod Celso Garcia Cid, PR 445 Km 380, 86057-970, Paraná, Brazil
| | - Rajesh Joshi
- GenoMar Genetics Group, Bolette Brygge 1, 0252, Oslo, Norway
| | - Jorge Manuel de Oliveira Fernandes
- Faculty of Bioscience and Aquaculture, Nord University, NO - 8049, Bodø, Norway; Institute of Marine Sciences, Spanish National Research Council, 08003, Barcelona, Spain
| | - Maria Isabel Mello Martins
- Agrarian Sciences Center, Veterinarian Clinics Department, State University of Londrina (UEL), Rod Celso Garcia Cid, PR 445 Km 380, 86057-970, Paraná, Brazil.
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2
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Vanhove MPM, Kmentová N, Faes C, Fernandes JMO, Hahn C, Hens N, Pariselle A, Koblmüller S. Understanding the Influence of Host Radiation on Symbiont Speciation through Parasites of Species Flocks. Cold Spring Harb Perspect Biol 2025; 17:a041450. [PMID: 38768969 PMCID: PMC11694742 DOI: 10.1101/cshperspect.a041450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
(Adaptive) radiations have attracted evolutionary biologists for a long time as ideal model systems to study patterns and processes of often rapid speciation. However, whereas a wealth of (sometimes already genome-scale) data is available for host radiations, very few studies target the patterns of diversification in their symbionts, even though they would be excellent models to study symbiont speciation. Our review summarizes what little is known about general patterns of symbiont diversification in often iconic adaptive host radiations and to what extent these patterns are dependent on the evolutionary trajectories of their hosts. We identify research gaps that need to be addressed in the future and discuss the potential of approaches not yet typically used in these study systems, such as epidemiological disease modeling and new omics technologies, for significantly advancing our understanding of these complex eco-evolutionary relationships.
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Affiliation(s)
- Maarten P M Vanhove
- Research Group Zoology: Biodiversity and Toxicology, Centre for Environmental Sciences, Hasselt University, 3590 Diepenbeek, Belgium
| | - Nikol Kmentová
- Research Group Zoology: Biodiversity and Toxicology, Centre for Environmental Sciences, Hasselt University, 3590 Diepenbeek, Belgium
| | - Christel Faes
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-Biostat), Data Science Institute, Hasselt University, 3590 Diepenbeek, Belgium
| | - Jorge M O Fernandes
- Faculty of Biosciences and Aquaculture, Nord University, 8026 Bodø, Norway
- Institut de Ciències del Mar, Spanish National Research Council, 08003 Barcelona, Spain
| | - Christoph Hahn
- Institute of Biology, University of Graz, 8010 Graz, Austria
| | - Niel Hens
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-Biostat), Data Science Institute, Hasselt University, 3590 Diepenbeek, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, 2000 Antwerpen, Belgium
| | - Antoine Pariselle
- Institute of Evolutionary Science of Montpellier, Centre National de la Recherche Scientifique, Université de Montpellier, Institut de Recherche pour le Développement, 34394 Montpellier, France
- Laboratory Biodiversity, Ecology and Genome, Faculty of Sciences, Mohammed V University in Rabat, 10000 Rabat, Morocco
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3
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Moulistanos A, Papasakellariou K, Kavakiotis I, Gkagkavouzis K, Karaiskou N, Antonopoulou E, Triantafyllidis A, Papakostas S. Genomic Signatures of Domestication in European Seabass ( Dicentrarchus labrax L.) Reveal a Potential Role for Epigenetic Regulation in Adaptation to Captivity. Ecol Evol 2024; 14:e70512. [PMID: 39629177 PMCID: PMC11612516 DOI: 10.1002/ece3.70512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Revised: 10/17/2024] [Accepted: 10/18/2024] [Indexed: 12/07/2024] Open
Abstract
Genome scans provide a comprehensive method to explore genome-wide variation associated with traits under study. However, linking individual genes to broader functional groupings and pathways is often challenging, yet crucial for understanding the evolutionary mechanisms underlying these traits. This task is particularly relevant for multi-trait processes such as domestication, which are influenced by complex interactions between numerous genetic and non-genetic factors, including epigenetic regulation. As various traits within the broader spectrum of domestication are selected in concert over time, this process offers an opportunity to identify broader functional overlaps and understand the integrated genetic architecture underlying these traits. In this study, we analyzed approximately 600,000 SNPs from a Pool-Seq experiment comparing eight natural-origin and 12 farmed populations of European seabass in the Mediterranean Sea region. We implemented two genome scan approaches and focused on genomic regions supported by both methods, resulting in the identification of 96 candidate genes, including nine CpG islands, which highligt potential epigenetic influences. Many of these genes and CpG islands are in linkage groups previously associated with domestication-related traits. The most significantly overrepresented molecular function was "oxidoreductase activity". Furthermore, a dense network of interactions was identified, connecting 22 of the candidate genes. Within this network, the most significantly enriched pathways and central genes were involved in "chromatin organization", highlighting another potential epigenetic mechanism. Altogether, our findings underscore the utility of interactome-assisted pathway analysis in elucidating the genomic architecture of polygenic traits and suggest that epigenetic regulation may play a crucial role in the domestication of European seabass.
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Affiliation(s)
- Aristotelis Moulistanos
- Department of Genetics, Development & Molecular Biology, School of Biology, Faculty of SciencesAristotle University of ThessalonikiThessalonikiGreece
- Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI‐AUTH)Balkan CenterThessalonikiGreece
| | - Konstantinos Papasakellariou
- Department of Genetics, Development & Molecular Biology, School of Biology, Faculty of SciencesAristotle University of ThessalonikiThessalonikiGreece
| | - Ioannis Kavakiotis
- Department of Science and TechnologyInternational Hellenic UniversityThessalonikiGreece
| | - Konstantinos Gkagkavouzis
- Department of Genetics, Development & Molecular Biology, School of Biology, Faculty of SciencesAristotle University of ThessalonikiThessalonikiGreece
- Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI‐AUTH)Balkan CenterThessalonikiGreece
| | - Nikoleta Karaiskou
- Department of Genetics, Development & Molecular Biology, School of Biology, Faculty of SciencesAristotle University of ThessalonikiThessalonikiGreece
- Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI‐AUTH)Balkan CenterThessalonikiGreece
| | - Efthimia Antonopoulou
- Department of Zoology, School of Biology, Faculty of SciencesAristotle University of ThessalonikiThessalonikiGreece
| | - Alexandros Triantafyllidis
- Department of Genetics, Development & Molecular Biology, School of Biology, Faculty of SciencesAristotle University of ThessalonikiThessalonikiGreece
- Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI‐AUTH)Balkan CenterThessalonikiGreece
| | - Spiros Papakostas
- Department of Science and TechnologyInternational Hellenic UniversityThessalonikiGreece
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4
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Kalbfleisch TS, McKay SD, Murdoch BM, Adelson DL, Almansa-Villa D, Becker G, Beckett LM, Benítez-Galeano MJ, Biase F, Casey T, Chuong E, Clark E, Clarke S, Cockett N, Couldrey C, Davis BW, Elsik CG, Faraut T, Gao Y, Genet C, Grady P, Green J, Green R, Guan D, Hagen D, Hartley GA, Heaton M, Hoyt SJ, Huang W, Jarvis E, Kalleberg J, Khatib H, Koepfi KP, Koltes J, Koren S, Kuehn C, Leeb T, Leonard A, Liu GE, Low WY, McConnell H, McRae K, Miga K, Mousel M, Neibergs H, Olagunju T, Pennell M, Petry B, Pewsner M, Phillippy AM, Pickett BD, Pineda P, Potapova T, Rachagani S, Rhie A, Rijnkels M, Robic A, Rodriguez Osorio N, Safonova Y, Schettini G, Schnabel RD, Sirpu Natesh N, Stegemiller M, Storer J, Stothard P, Stull C, Tosser-Klopp G, Traglia GM, Tuggle CK, Van Tassell CP, Watson C, Weikard R, Wimmers K, Xie S, Yang L, Smith TPL, O'Neill RJ, Rosen BD. The Ruminant Telomere-to-Telomere (RT2T) Consortium. Nat Genet 2024; 56:1566-1573. [PMID: 39103649 DOI: 10.1038/s41588-024-01835-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 06/14/2024] [Indexed: 08/07/2024]
Abstract
Telomere-to-telomere (T2T) assemblies reveal new insights into the structure and function of the previously 'invisible' parts of the genome and allow comparative analyses of complete genomes across entire clades. We present here an open collaborative effort, termed the 'Ruminant T2T Consortium' (RT2T), that aims to generate complete diploid assemblies for numerous species of the Artiodactyla suborder Ruminantia to examine chromosomal evolution in the context of natural selection and domestication of species used as livestock.
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Affiliation(s)
| | - Stephanie D McKay
- Division of Animal Sciences, University of Missouri, Columbia, MO, USA
| | - Brenda M Murdoch
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA
| | - David L Adelson
- School of Biological Sciences, the University of Adelaide, North Terrace, Adelaide, South Australia, Australia
| | - Diego Almansa-Villa
- Genomics and Bioinformatics Unit, Departamento de Ciencias Biológicas, CENUR Litoral Norte, Universidad de la República, Salto, Uruguay
| | - Gabrielle Becker
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA
| | - Linda M Beckett
- Department of Animal Sciences, Purdue University, West Lafayette, IN, USA
| | - María José Benítez-Galeano
- Genomics and Bioinformatics Unit, Departamento de Ciencias Biológicas, CENUR Litoral Norte, Universidad de la República, Salto, Uruguay
| | - Fernando Biase
- School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Theresa Casey
- Department of Animal Sciences, Purdue University, West Lafayette, IN, USA
| | - Edward Chuong
- BioFrontiers Institute, Department of Molecular Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Emily Clark
- The Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Shannon Clarke
- Invermay Agricultural Centre, AgResearch Ltd, Mosgiel, New Zealand
| | - Noelle Cockett
- Department of Animal, Dairy and Veterinary Sciences, Utah State University, Logan, UT, USA
| | | | - Brian W Davis
- Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - Christine G Elsik
- Division of Animal Sciences, University of Missouri, Columbia, MO, USA
| | - Thomas Faraut
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan, France
| | - Yahui Gao
- Animal Genomics and Improvement Laboratory, USDA ARS, Beltsville, MD, USA
| | - Carine Genet
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan, France
| | - Patrick Grady
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
| | - Jonathan Green
- Division of Animal Sciences, University of Missouri, Columbia, MO, USA
| | - Richard Green
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
| | - Dailu Guan
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Darren Hagen
- Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK, USA
| | | | - Mike Heaton
- U.S. Meat Animal Research Center, USDA ARS, Clay Center, NE, USA
| | - Savannah J Hoyt
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
| | - Wen Huang
- Department of Animal Science, Michigan State University, East Lansing, MI, USA
| | - Erich Jarvis
- Vertebrate Genome Laboratory, the Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Jenna Kalleberg
- Division of Animal Sciences, University of Missouri, Columbia, MO, USA
| | - Hasan Khatib
- Department of Animal and Dairy Sciences, the University of Wisconsin-Madison, Madison, WI, USA
| | - Klaus-Peter Koepfi
- Smithsonian-Mason School of Conservation, George Mason University, Front Royal, VA, USA
- Center for Species Survival, Smithsonian's National Zoo and Conservation Biology Institute, Front Royal, VA, USA
| | - James Koltes
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Sergey Koren
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christa Kuehn
- Friedrich-Loeffler-Institute (German Federal Research Institute for Animal Health), Greifswald-Insel Riems, Germany
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | | | - George E Liu
- Animal Genomics and Improvement Laboratory, USDA ARS, Beltsville, MD, USA
| | - Wai Yee Low
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia
| | - Hunter McConnell
- Division of Animal Sciences, University of Missouri, Columbia, MO, USA
| | - Kathryn McRae
- Invermay Agricultural Centre, AgResearch Ltd, Mosgiel, New Zealand
| | - Karen Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
- Biomolecular Engineering Department, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Michelle Mousel
- Animal Disease Research Unit, USDA ARS, Pullman, WA, USA
- School for Global Animal Health, Washington State University, Pullman, WA, USA
| | - Holly Neibergs
- Department of Animal Science, Washington State University, Pullman, WA, USA
| | - Temitayo Olagunju
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA
| | - Matt Pennell
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Bruna Petry
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Mirjam Pewsner
- Institute of Fish and Wildlife Health, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Adam M Phillippy
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brandon D Pickett
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Paulene Pineda
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia
| | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Satyanarayana Rachagani
- Veterinary Medicine and Surgery, NextGen Precision Health Institute, University of Missouri, Columbia, MO, USA
| | - Arang Rhie
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Monique Rijnkels
- Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - Annie Robic
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan, France
| | - Nelida Rodriguez Osorio
- Genomics and Bioinformatics Unit, Departamento de Ciencias Biológicas, CENUR Litoral Norte, Universidad de la República, Salto, Uruguay
| | - Yana Safonova
- Computer Science and Engineering Department, Huck Institutes of the Life Sciences, Pennsylvania State University, State College, PA, USA
| | - Gustavo Schettini
- School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Robert D Schnabel
- Division of Animal Sciences, University of Missouri, Columbia, MO, USA
| | | | - Morgan Stegemiller
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA
| | - Jessica Storer
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Paul Stothard
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Caleb Stull
- Division of Animal Sciences, University of Missouri, Columbia, MO, USA
| | | | - Germán M Traglia
- Genomics and Bioinformatics Unit, Departamento de Ciencias Biológicas, CENUR Litoral Norte, Universidad de la República, Salto, Uruguay
| | | | | | - Corey Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA
| | - Rosemarie Weikard
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Klaus Wimmers
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Shangqian Xie
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA
| | - Liu Yang
- Animal Genomics and Improvement Laboratory, USDA ARS, Beltsville, MD, USA
| | | | - Rachel J O'Neill
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA.
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA.
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, USDA ARS, Beltsville, MD, USA.
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5
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Siddique MAB, Mahalder B, Haque MM, Shohan MH, Biswas JC, Akhtar S, Ahammad AKS. Forecasting of tilapia ( Oreochromis niloticus) production in Bangladesh using ARIMA model. Heliyon 2024; 10:e27111. [PMID: 39676916 PMCID: PMC11639723 DOI: 10.1016/j.heliyon.2024.e27111] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 02/13/2024] [Accepted: 02/23/2024] [Indexed: 12/17/2024] Open
Abstract
Tilapia farming has expanded rapidly in Bangladesh over the years thanks to a suitable climate for aquaculture and a consistently increasing demand for the fish rich in vitamins and minerals. A clear picture regarding the future trend of tilapia production in Bangladesh is still not available, however. The purpose of this study was to estimate parameters that fit into the Autoregressive Integrated Moving Average (ARIMA) model for forecasting tilapia production in Bangladesh. This was accomplished by calibrating and validating the ARIMA model taking into account the lowest values of the Akaike Information Criterion (AIC) and Bayesian Information Criteria (BIC), graphical arrangements of autocorrelation function (ACF) and partial autocorrelation function (PACF) plots. The best model derived was ARIMA (1, 1, 1), which showed an upward trend of tilapia production since 2006 to date and predicted a similar trend until the year 2040. If this trend continues, the yearly tilapia outturn in the country may reach 690,000 MT, with an upper limit of 1.15 million MT and lower limit of 0.23 million MT, reflecting a substantial increase of around 118% over that produced in 2021. The results of this study will serve as a valuable resource for researchers, decision-makers, academics, and tilapia entrepreneurs, enabling them to develop effective action plans to optimize tilapia production in Bangladesh and strategize for the future integration of tilapia within the country.
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Affiliation(s)
- Mohammad Abu Baker Siddique
- Department of Fisheries Biology and Genetics, Faculty of Fisheries, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Balaram Mahalder
- Department of Aquaculture, Faculty of Fisheries, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Mohammad Mahfujul Haque
- Department of Aquaculture, Faculty of Fisheries, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Mobin Hossain Shohan
- Department of Aquaculture, Faculty of Fisheries, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | | | - Shahrina Akhtar
- Krishi Gobeshona Foundation, BARC Complex, Farmgate, Dhaka, Bangladesh
| | - A. K. Shakur Ahammad
- Department of Fisheries Biology and Genetics, Faculty of Fisheries, Bangladesh Agricultural University, Mymensingh, Bangladesh
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6
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Bogan SN, Yi SV. Potential Role of DNA Methylation as a Driver of Plastic Responses to the Environment Across Cells, Organisms, and Populations. Genome Biol Evol 2024; 16:evae022. [PMID: 38324384 PMCID: PMC10899001 DOI: 10.1093/gbe/evae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 01/09/2024] [Accepted: 01/23/2024] [Indexed: 02/09/2024] Open
Abstract
There is great interest in exploring epigenetic modifications as drivers of adaptive organismal responses to environmental change. Extending this hypothesis to populations, epigenetically driven plasticity could influence phenotypic changes across environments. The canonical model posits that epigenetic modifications alter gene regulation and subsequently impact phenotypes. We first discuss origins of epigenetic variation in nature, which may arise from genetic variation, spontaneous epimutations, epigenetic drift, or variation in epigenetic capacitors. We then review and synthesize literature addressing three facets of the aforementioned model: (i) causal effects of epigenetic modifications on phenotypic plasticity at the organismal level, (ii) divergence of epigenetic patterns in natural populations distributed across environmental gradients, and (iii) the relationship between environmentally induced epigenetic changes and gene expression at the molecular level. We focus on DNA methylation, the most extensively studied epigenetic modification. We find support for environmentally associated epigenetic structure in populations and selection on stable epigenetic variants, and that inhibition of epigenetic enzymes frequently bears causal effects on plasticity. However, there are pervasive confounding issues in the literature. Effects of chromatin-modifying enzymes on phenotype may be independent of epigenetic marks, alternatively resulting from functions and protein interactions extrinsic of epigenetics. Associations between environmentally induced changes in DNA methylation and expression are strong in plants and mammals but notably absent in invertebrates and nonmammalian vertebrates. Given these challenges, we describe emerging approaches to better investigate how epigenetic modifications affect gene regulation, phenotypic plasticity, and divergence among populations.
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Affiliation(s)
- Samuel N Bogan
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA, USA
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Soojin V Yi
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA, USA
- Department of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
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7
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Konstantinidis I, Sætrom P, Brieuc S, Jakobsen KS, Liedtke H, Pohlmann C, Tsoulia T, Fernandes JMO. DNA hydroxymethylation differences underlie phenotypic divergence of somatic growth in Nile tilapia reared in common garden. Epigenetics 2023; 18:2282323. [PMID: 38010265 PMCID: PMC10732659 DOI: 10.1080/15592294.2023.2282323] [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: 05/24/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023] Open
Abstract
Phenotypic plasticity of metabolism and growth are essential for adaptation to new environmental conditions, such as those experienced during domestication. Epigenetic regulation plays a key role in this process but the underlying mechanisms are poorly understood, especially in the case of hydroxymethylation. Using reduced representation 5-hydroxymethylcytosine profiling, we compared the liver hydroxymethylomes in full-sib Nile tilapia with distinct growth rates (3.8-fold difference) and demonstrated that DNA hydroxymethylation is strongly associated with phenotypic divergence of somatic growth during the early stages of domestication. The 2677 differentially hydroxymethylated cytosines between fast- and slow-growing fish were enriched within gene bodies (79%), indicating a pertinent role in transcriptional regulation. Moreover, they were found in genes involved in biological processes related to skeletal system and muscle structure development, and there was a positive association between somatic growth and 5hmC levels in genes coding for growth factors, kinases and receptors linked to myogenesis. Single nucleotide polymorphism analysis revealed no genetic differentiation between fast- and slow-growing fish. In addition to unveiling a new link between DNA hydroxymethylation and epigenetic regulation of growth in fish during the initial stages of domestication, this study suggests that epimarkers may be applied in selective breeding programmes for superior phenotypes.
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Affiliation(s)
| | - Pål Sætrom
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
- Bioinformatics core facility-BioCore, Norwegian University of Science and Technology, Trondheim, Norway
- K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
| | - S.O. Brieuc
- Center for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
| | - Kjetill S. Jakobsen
- Center for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
| | - Hannes Liedtke
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | - Caroline Pohlmann
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | - Thomais Tsoulia
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
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8
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Rbbani G, Nedoluzhko A, Siriyappagouder P, Sharko F, Galindo-Villegas J, Raeymaekers JAM, Joshi R, Fernandes JMO. The novel circular RNA CircMef2c is positively associated with muscle growth in Nile tilapia. Genomics 2023; 115:110598. [PMID: 36906188 PMCID: PMC7614353 DOI: 10.1016/j.ygeno.2023.110598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/28/2023] [Accepted: 02/28/2023] [Indexed: 03/11/2023]
Abstract
Muscle growth in teleosts is a complex biological process orchestrated by numerous protein-coding genes and non-coding RNAs. A few recent studies suggest that circRNAs are involved in teleost myogenesis, but the molecular networks involved remain poorly understood. In this study, an integrative omics approach was used to determine myogenic circRNAs in Nile tilapia by quantifying and comparing the expression profile of mRNAs, miRNAs, and circRNAs in fast muscle from full-sib fish with distinct growth rates. There were 1947 mRNAs, 9 miRNAs, and 4 circRNAs differentially expressed between fast- and slow-growing individuals. These miRNAs can regulate myogenic genes and have binding sites for the novel circRNA circMef2c. Our data indicate that circMef2c may interact with three miRNAs and 65 differentially expressed mRNAs to form multiple competing endogenous RNA networks that regulate growth, thus providing novel insights into the role of circRNAs in the regulation of muscle growth in teleosts.
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Affiliation(s)
- Golam Rbbani
- Genomics Division, Faculty of Biosciences and Aquaculture, Nord University, 8049 Bodø, Norway
| | - Artem Nedoluzhko
- Genomics Division, Faculty of Biosciences and Aquaculture, Nord University, 8049 Bodø, Norway; Paleogenomics laboratory, European University at Saint Petersburg, 191187 Saint-Petersburg, Russia
| | | | | | - Jorge Galindo-Villegas
- Genomics Division, Faculty of Biosciences and Aquaculture, Nord University, 8049 Bodø, Norway
| | - Joost A M Raeymaekers
- Genomics Division, Faculty of Biosciences and Aquaculture, Nord University, 8049 Bodø, Norway
| | | | - Jorge M O Fernandes
- Genomics Division, Faculty of Biosciences and Aquaculture, Nord University, 8049 Bodø, Norway.
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9
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Konstantinidis I, Sætrom P, Fernandes JMO. Genome-wide hydroxymethylation profiles in liver of female Nile tilapia with distinct growth performance. Sci Data 2023; 10:114. [PMID: 36859394 PMCID: PMC9977925 DOI: 10.1038/s41597-023-01996-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 02/01/2023] [Indexed: 03/03/2023] Open
Abstract
The mechanisms underlying the fast genome evolution that occurs during animal domestication are poorly understood. Here, we present a genome-wide epigenetic dataset that quantifies DNA hydroxymethylation at single nucleotide resolution among full-sib Nile tilapia (Oreochromis niloticus) with distinct growth performance. In total, we obtained 355 million, 75 bp reads from 5 large- and 5 small-sized fish on an Illumina NextSeq500 platform. We identified several growth-related genes to be differentially hydroxymethylated, especially within gene bodies and promoters. Previously, we proposed that DNA hydroxymethylation greatly affects the earliest responses to adaptation and potentially drives genome evolution through its targeted enrichment and elevated nucleotide transversion rates. This dataset can be analysed in various contexts (e.g., epigenetics, evolution and growth) and compared to other epigenomic datasets in the future, namely DNA methylation and histone modifications. With forthcoming advancements in genome research, this hydroxymethylation dataset will also contribute to better understand the epigenetic regulation of key genomic features, such as cis-regulatory and transposable elements.
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Affiliation(s)
| | - Pål Sætrom
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
- Department of Computer Science, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
- Bioinformatics core facility-BioCore, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
- K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
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10
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Jafari O, Ebrahimi M, Hedayati SAA, Zeinalabedini M, Poorbagher H, Nasrolahpourmoghadam M, Fernandes JMO. Integration of Morphometrics and Machine Learning Enables Accurate Distinction between Wild and Farmed Common Carp. LIFE (BASEL, SWITZERLAND) 2022; 12:life12070957. [PMID: 35888047 PMCID: PMC9315565 DOI: 10.3390/life12070957] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/16/2022] [Accepted: 06/20/2022] [Indexed: 11/16/2022]
Abstract
Morphology and feature selection are key approaches to address several issues in fisheries science and stock management, such as the hypothesis of admixture of Caspian common carp (Cyprinus carpio) and farmed carp stocks in Iran. The present study was performed to investigate the population classification of common carp in the southern Caspian basin using data mining algorithms to find the most important characteristic(s) differing between Iranian and farmed common carp. A total of 74 individuals were collected from three locations within the southern Caspian basin and from one farm between November 2015 and April 2016. A dataset of 26 traditional morphometric (TMM) attributes and a dataset of 14 geometric landmark points were constructed and then subjected to various machine learning methods. In general, the machine learning methods had a higher prediction rate with TMM datasets. The highest decision tree accuracy of 77% was obtained by rule and decision tree parallel algorithms, and “head height on eye area” was selected as the best marker to distinguish between wild and farmed common carp. Various machine learning algorithms were evaluated, and we found that the linear discriminant was the best method, with 81.1% accuracy. The results obtained from this novel approach indicate that Darwin’s domestication syndrome is observed in common carp. Moreover, they pave the way for automated detection of farmed fish, which will be most beneficial to detect escapees and improve restocking programs.
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Affiliation(s)
- Omid Jafari
- International Sturgeon Research Institute, Iranian Fisheries Science Research Institute, Agricultural Research, Education and Extension Organization, Rasht 416353464, Iran
- Correspondence: (O.J.); (J.M.O.F.)
| | - Mansour Ebrahimi
- Department of Biology, School of Basic Science, University of Qom, Qom 3716146611, Iran;
| | - Seyed Ali-Akbar Hedayati
- Department of Fisheries, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 4913815739, Iran;
| | - Mehrshad Zeinalabedini
- Department of Genomics, Agricultural Biotechnology Research Institute of Iran (ABRII), Karaj 3135933151, Iran;
| | - Hadi Poorbagher
- Department of Fisheries Sciences, Faculty of Natural Resources, University of Tehran, Karaj 3158777871, Iran; (H.P.); (M.N.)
| | - Maryam Nasrolahpourmoghadam
- Department of Fisheries Sciences, Faculty of Natural Resources, University of Tehran, Karaj 3158777871, Iran; (H.P.); (M.N.)
| | - Jorge M. O. Fernandes
- Faculty of Biosciences and Aquaculture, Nord University, 8026 Bodø, Norway
- Correspondence: (O.J.); (J.M.O.F.)
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11
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Anastasiadi D, Piferrer F, Wellenreuther M, Benítez Burraco A. Fish as Model Systems to Study Epigenetic Drivers in Human Self-Domestication and Neurodevelopmental Cognitive Disorders. Genes (Basel) 2022; 13:genes13060987. [PMID: 35741749 PMCID: PMC9222608 DOI: 10.3390/genes13060987] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/28/2022] [Accepted: 05/11/2022] [Indexed: 12/24/2022] Open
Abstract
Modern humans exhibit phenotypic traits and molecular events shared with other domesticates that are thought to be by-products of selection for reduced aggression. This is the human self-domestication hypothesis. As one of the first types of responses to a novel environment, epigenetic changes may have also facilitated early self-domestication in humans. Here, we argue that fish species, which have been recently domesticated, can provide model systems to study epigenetic drivers in human self-domestication. To test this, we used in silico approaches to compare genes with epigenetic changes in early domesticates of European sea bass with genes exhibiting methylation changes in anatomically modern humans (comparison 1), and neurodevelopmental cognitive disorders considered to exhibit abnormal self-domestication traits, i.e., schizophrenia, Williams syndrome, and autism spectrum disorders (comparison 2). Overlapping genes in comparison 1 were involved in processes like limb morphogenesis and phenotypes like abnormal jaw morphology and hypopigmentation. Overlapping genes in comparison 2 affected paralogue genes involved in processes such as neural crest differentiation and ectoderm differentiation. These findings pave the way for future studies using fish species as models to investigate epigenetic changes as drivers of human self-domestication and as triggers of cognitive disorders.
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Affiliation(s)
- Dafni Anastasiadi
- Seafood Technologies, The New Zealand Institute for Plant and Food Research, Nelson 7010, New Zealand;
- Correspondence:
| | - Francesc Piferrer
- Institut de Ciències del Mar, Spanish National Research Council (CSIC), 08003 Barcelona, Spain;
| | - Maren Wellenreuther
- Seafood Technologies, The New Zealand Institute for Plant and Food Research, Nelson 7010, New Zealand;
- School of Biological Sciences, The University of Auckland, Auckland 1010, New Zealand
| | - Antonio Benítez Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, 41004 Seville, Spain;
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12
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Kim C, Wang X, Kültz D. Prediction and Experimental Validation of a New Salinity-Responsive Cis-Regulatory Element (CRE) in a Tilapia Cell Line. Life (Basel) 2022; 12:787. [PMID: 35743818 PMCID: PMC9225295 DOI: 10.3390/life12060787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/12/2022] [Accepted: 05/16/2022] [Indexed: 11/16/2022] Open
Abstract
Transcriptional regulation is a major mechanism by which organisms integrate gene x environment interactions. It can be achieved by coordinated interplay between cis-regulatory elements (CREs) and transcription factors (TFs). Euryhaline tilapia (Oreochromis mossambicus) tolerate a wide range of salinity and thus are an appropriate model to examine transcriptional regulatory mechanisms during salinity stress in fish. Quantitative proteomics in combination with the transcription inhibitor actinomycin D revealed 19 proteins that are transcriptionally upregulated by hyperosmolality in tilapia brain (OmB) cells. We searched the extended proximal promoter up to intron1 of each corresponding gene for common motifs using motif discovery tools. The top-ranked motif identified (STREME1) represents a binding site for the Forkhead box TF L1 (FoxL1). STREME1 function during hyperosmolality was experimentally validated by choosing two of the 19 genes, chloride intracellular channel 2 (clic2) and uridine phosphorylase 1 (upp1), that are enriched in STREME1 in their extended promoters. Transcriptional induction of these genes during hyperosmolality requires STREME1, as evidenced by motif mutagenesis. We conclude that STREME1 represents a new functional CRE that contributes to gene x environment interactions during salinity stress in tilapia. Moreover, our results indicate that FoxL1 family TFs are contribute to hyperosmotic induction of genes in euryhaline fish.
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Affiliation(s)
- Chanhee Kim
- Stress-Induced Evolution Laboratory, Department of Animal Sciences, University of California, Davis, CA 95616, USA;
| | - Xiaodan Wang
- Laboratory of Aquaculture Nutrition and Environmental Health, School of Life Sciences, East China Normal University, Shanghai 200241, China;
| | - Dietmar Kültz
- Stress-Induced Evolution Laboratory, Department of Animal Sciences, University of California, Davis, CA 95616, USA;
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13
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L M, C H, V V, J L, M M, E Q, T C, M DN, F M. A plant-based diet differentially affects the global hepatic methylome in rainbow trout depending on genetic background. Epigenetics 2022; 17:1726-1737. [PMID: 35345978 PMCID: PMC9621033 DOI: 10.1080/15592294.2022.2058226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Replacing fish meal and oil in trout diets with plant-derived ingredients is a contemporary challenge to move towards more sustainable aquaculture practices. However, such dietary replacement causes hepatic metabolic changes that have not yet been elucidated. Here, we aimed to decipher the effect of a 100% plant-based diet on the hepatic global DNA methylation landscape in trout and assess whether changes depend on fish genetic background. We analysed the global methylome and the expression of DNA (de)methylation-related genes of three isogenic lines that exhibit similar growth when fed a marine resource-based diet (M diet), but differ in their responses to a plant-based diet (V diet). Our results revealed that the V diet induced a decrease in 5-cytosine combined with an increase in 5-hydroxymethylcytosine in two of the three analysed lines. For one of these 2 affected lines, when fed the M diet but at the same feed intake of the V diet (MR), no methylome differences were highlighted between M and MR or between MR and V-fed trout whereas for the other affected line, M fed trout displayed a divergent methylome profile from MR and V fed fish. DNA (de)methylation-related genes were also affected by the V or MR diets. Our findings showed that the global hepatic methylome of trout is affected by a V diet, depending on genetic background. This latter effect seems to be due to either a decreased feed intake alone or combined with the effect of the dietary composition per se.
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Affiliation(s)
- Marandel L
- INRAE, Univ Pau & Pays Adour, E2S UPPA, UMR 1419, Nutrition, Métabolisme, Aquaculture, Saint Pée sur Nivelle, France
| | - Heraud C
- INRAE, Univ Pau & Pays Adour, E2S UPPA, UMR 1419, Nutrition, Métabolisme, Aquaculture, Saint Pée sur Nivelle, France
| | - Véron V
- INRAE, Univ Pau & Pays Adour, E2S UPPA, UMR 1419, Nutrition, Métabolisme, Aquaculture, Saint Pée sur Nivelle, France
| | - Laithier J
- INRAE, Univ Pau & Pays Adour, E2S UPPA, UMR 1419, Nutrition, Métabolisme, Aquaculture, Saint Pée sur Nivelle, France
| | - Marchand M
- INRAE, Univ Pau & Pays Adour, E2S UPPA, UMR 1419, Nutrition, Métabolisme, Aquaculture, Saint Pée sur Nivelle, France
| | - Quillet E
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Callet T
- INRAE, Univ Pau & Pays Adour, E2S UPPA, UMR 1419, Nutrition, Métabolisme, Aquaculture, Saint Pée sur Nivelle, France
| | - Dupont-Nivet M
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Médale F
- INRAE, Univ Pau & Pays Adour, E2S UPPA, UMR 1419, Nutrition, Métabolisme, Aquaculture, Saint Pée sur Nivelle, France
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14
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Wellband K, Roth D, Linnansaari T, Curry RA, Bernatchez L. Environment-driven reprogramming of gamete DNA methylation occurs during maturation and is transmitted intergenerationally in Atlantic Salmon. G3 (BETHESDA, MD.) 2021; 11:jkab353. [PMID: 34849830 PMCID: PMC8664423 DOI: 10.1093/g3journal/jkab353] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 09/24/2021] [Indexed: 02/06/2023]
Abstract
An epigenetic basis for transgenerational plasticity in animals is widely theorized, but convincing empirical support is limited by taxa-specific differences in the presence and role of epigenetic mechanisms. In teleost fishes, DNA methylation generally does not undergo extensive reprogramming and has been linked with environmentally induced intergenerational effects, but solely in the context of early life environmental differences. Using whole-genome bisulfite sequencing, we demonstrate that differential methylation of sperm occurs in response to captivity during the maturation of Atlantic Salmon (Salmo salar), a species of major economic and conservation significance. We show that adult captive exposure further induces differential methylation in an F1 generation that is associated with fitness-related phenotypic differences. Some genes targeted with differential methylation were consistent with genes differential methylated in other salmonid fishes experiencing early-life hatchery rearing, as well as genes under selection in domesticated species. Our results support a mechanism of transgenerational plasticity mediated by intergenerational inheritance of DNA methylation acquired late in life for salmon. To our knowledge, this is the first-time environmental variation experienced later in life has been directly demonstrated to influence gamete DNA methylation in fish.
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Affiliation(s)
- Kyle Wellband
- Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, QC G1V 0A6, Canada
- Department of Biology, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
- Canadian Rivers Institute, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
| | - David Roth
- Canadian Rivers Institute, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
- Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
| | - Tommi Linnansaari
- Department of Biology, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
- Canadian Rivers Institute, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
- Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
| | - R Allen Curry
- Department of Biology, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
- Canadian Rivers Institute, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
- Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, QC G1V 0A6, Canada
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15
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Abdelhafiz Y, Fernandes JMO, Stefani E, Albanese D, Donati C, Kiron V. Power Play of Commensal Bacteria in the Buccal Cavity of Female Nile Tilapia. Front Microbiol 2021; 12:773351. [PMID: 34867911 PMCID: PMC8636895 DOI: 10.3389/fmicb.2021.773351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 10/14/2021] [Indexed: 01/29/2023] Open
Abstract
Fish are widely exposed to higher microbial loads compared to land and air animals. It is known that the microbiome plays an essential role in the health and development of the host. The oral microbiome is vital in females of different organisms, including the maternal mouthbrooding species such as Nile tilapia (Oreochromis niloticus). The present study reports for the first time the microbial composition in the buccal cavity of female and male Nile tilapia reared in a recirculating aquaculture system. Mucus samples were collected from the buccal cavity of 58 adult fish (∼1 kg), and 16S rRNA gene amplicon sequencing was used to profile the microbial communities in females and males. The analysis revealed that opportunistic pathogens such as Streptococcus sp. were less abundant in the female buccal cavity. The power play of certain bacteria such as Acinetobacter, Acidobacteria (GP4 and GP6), and Saccharibacteria that have known metabolic advantages was evident in females compared to males. Association networks inferred from relative abundances showed few microbe–microbe interactions of opportunistic pathogens in female fish. The findings of opportunistic bacteria and their interactions with other microbes will be valuable for improving Nile tilapia rearing practices. The presence of bacteria with specific functions in the buccal cavity of female fish points to their ability to create a protective microbial ecosystem for the offspring.
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Affiliation(s)
- Yousri Abdelhafiz
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | | | - Erika Stefani
- Unit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Davide Albanese
- Unit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Claudio Donati
- Unit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Viswanath Kiron
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
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16
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Abdelhafiz Y, Fernandes JMO, Larger S, Albanese D, Donati C, Jafari O, Nedoluzhko AV, Kiron V. Breeding Strategy Shapes the Composition of Bacterial Communities in Female Nile Tilapia Reared in a Recirculating Aquaculture System. Front Microbiol 2021; 12:709611. [PMID: 34566914 PMCID: PMC8461179 DOI: 10.3389/fmicb.2021.709611] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/13/2021] [Indexed: 11/13/2022] Open
Abstract
In industrial animal production, breeding strategies are essential to produce offspring of better quality and vitality. It is also known that host microbiome has a bearing on its health. Here, we report for the first time the influence of crossbreeding strategy, inbreeding or outbreeding, on the buccal and intestinal bacterial communities in female Nile tilapia (Oreochromis niloticus). Crossbreeding was performed within a family and between different fish families to obtain the inbred and outbred study groups, respectively. The genetic relationship and structure analysis revealed significant genetic differentiation between the inbred and outbred groups. We also employed a 16S rRNA gene sequencing technique to understand the significant differences between the diversities of the bacterial communities of the inbred and outbred groups. The core microbiota composition in the mouth and the intestine was not affected by the crossbreeding strategy but their abundance varied between the two groups. Furthermore, opportunistic bacteria were abundant in the buccal cavity and intestine of the outbred group, whereas beneficial bacteria were abundant in the intestine of the inbred group. The present study indicates that crossbreeding can influence the abundance of beneficial bacteria, core microbiome and the inter-individual variation in the microbiome.
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Affiliation(s)
- Yousri Abdelhafiz
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | | | - Simone Larger
- Unit of Computational Biology, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Davide Albanese
- Unit of Computational Biology, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Claudio Donati
- Unit of Computational Biology, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Omid Jafari
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.,International Sturgeon Research Institute, Iranian Fisheries Science Research Institute, Agricultural Research, Education and Extension Organization, Rasht, Iran
| | | | - Viswanath Kiron
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
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17
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Epigenetic mapping of the somatotropic axis in Nile tilapia reveals differential DNA hydroxymethylation marks associated with growth. Genomics 2021; 113:2953-2964. [PMID: 34214627 PMCID: PMC7611323 DOI: 10.1016/j.ygeno.2021.06.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/02/2021] [Accepted: 06/25/2021] [Indexed: 12/29/2022]
Abstract
In vertebrates, the somatotropic axis comprising the pituitary gland, liver and muscle plays a major role in myogenesis. Its output in terms of muscle growth is highly affected by nutritional and environmental cues, and thus likely epigenetically regulated. Hydroxymethylation is emerging as a DNA modification that modulates gene expression but a holistic characterization of the hydroxymethylome of the somatotropic axis has not been investigated to date. Using reduced representation 5-hydroxymethylcytosine profiling we demonstrate tissue-specific localization of 5-hydroxymethylcytosines at single nucleotide resolution. Their abundance within gene bodies and promoters of several growth-related genes supports their pertinent role in gene regulation. We propose that cytosine hydroxymethylation may contribute to the phenotypic plasticity of growth through epigenetic regulation of the somatotropic axis.
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18
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Vogt G. Epigenetic variation in animal populations: Sources, extent, phenotypic implications, and ecological and evolutionary relevance. J Biosci 2021. [DOI: 10.1007/s12038-021-00138-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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