A comprehensive epigenomic analysis of phenotypically distinguishable, genetically identical female and male Daphnia pulex.


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
06 Jan 2020
Historique:
received: 24 06 2019
accepted: 19 12 2019
entrez: 8 1 2020
pubmed: 8 1 2020
medline: 9 6 2020
Statut: epublish

Résumé

Daphnia species reproduce by cyclic parthenogenesis involving both sexual and asexual reproduction. The sex of the offspring is environmentally determined and mediated via endocrine signalling by the mother. Interestingly, male and female Daphnia can be genetically identical, yet display large differences in behaviour, morphology, lifespan and metabolic activity. Our goal was to integrate multiple omics datasets, including gene expression, splicing, histone modification and DNA methylation data generated from genetically identical female and male Daphnia pulex under controlled laboratory settings with the aim of achieving a better understanding of the underlying epigenetic factors that may contribute to the phenotypic differences observed between the two genders. In this study we demonstrate that gene expression level is positively correlated with increased DNA methylation, and histone H3 trimethylation at lysine 4 (H3K4me3) at predicted promoter regions. Conversely, elevated histone H3 trimethylation at lysine 27 (H3K27me3), distributed across the entire transcript length, is negatively correlated with gene expression level. Interestingly, male Daphnia are dominated with epigenetic modifications that globally promote elevated gene expression, while female Daphnia are dominated with epigenetic modifications that reduce gene expression globally. For examples, CpG methylation (positively correlated with gene expression level) is significantly higher in almost all differentially methylated sites in male compared to female Daphnia. Furthermore, H3K4me3 modifications are higher in male compared to female Daphnia in more than 3/4 of the differentially regulated promoters. On the other hand, H3K27me3 is higher in female compared to male Daphnia in more than 5/6 of differentially modified sites. However, both sexes demonstrate roughly equal number of genes that are up-regulated in one gender compared to the other sex. Since, gene expression analyses typically assume that most genes are expressed at equal level among samples and different conditions, and thus cannot detect global changes affecting most genes. The epigenetic differences between male and female in Daphnia pulex are vast and dominated by changes that promote elevated gene expression in male Daphnia. Furthermore, the differences observed in both gene expression changes and epigenetic modifications between the genders relate to pathways that are physiologically relevant to the observed phenotypic differences.

Sections du résumé

BACKGROUND BACKGROUND
Daphnia species reproduce by cyclic parthenogenesis involving both sexual and asexual reproduction. The sex of the offspring is environmentally determined and mediated via endocrine signalling by the mother. Interestingly, male and female Daphnia can be genetically identical, yet display large differences in behaviour, morphology, lifespan and metabolic activity. Our goal was to integrate multiple omics datasets, including gene expression, splicing, histone modification and DNA methylation data generated from genetically identical female and male Daphnia pulex under controlled laboratory settings with the aim of achieving a better understanding of the underlying epigenetic factors that may contribute to the phenotypic differences observed between the two genders.
RESULTS RESULTS
In this study we demonstrate that gene expression level is positively correlated with increased DNA methylation, and histone H3 trimethylation at lysine 4 (H3K4me3) at predicted promoter regions. Conversely, elevated histone H3 trimethylation at lysine 27 (H3K27me3), distributed across the entire transcript length, is negatively correlated with gene expression level. Interestingly, male Daphnia are dominated with epigenetic modifications that globally promote elevated gene expression, while female Daphnia are dominated with epigenetic modifications that reduce gene expression globally. For examples, CpG methylation (positively correlated with gene expression level) is significantly higher in almost all differentially methylated sites in male compared to female Daphnia. Furthermore, H3K4me3 modifications are higher in male compared to female Daphnia in more than 3/4 of the differentially regulated promoters. On the other hand, H3K27me3 is higher in female compared to male Daphnia in more than 5/6 of differentially modified sites. However, both sexes demonstrate roughly equal number of genes that are up-regulated in one gender compared to the other sex. Since, gene expression analyses typically assume that most genes are expressed at equal level among samples and different conditions, and thus cannot detect global changes affecting most genes.
CONCLUSIONS CONCLUSIONS
The epigenetic differences between male and female in Daphnia pulex are vast and dominated by changes that promote elevated gene expression in male Daphnia. Furthermore, the differences observed in both gene expression changes and epigenetic modifications between the genders relate to pathways that are physiologically relevant to the observed phenotypic differences.

Identifiants

pubmed: 31906859
doi: 10.1186/s12864-019-6415-5
pii: 10.1186/s12864-019-6415-5
pmc: PMC6945601
doi:

Substances chimiques

Histones 0
Lysine K3Z4F929H6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17

Références

Philos Trans R Soc Lond B Biol Sci. 1996 Mar 29;351(1337):349-60
pubmed: 8730787
BMC Bioinformatics. 2012 Apr 19;13 Suppl 6:S5
pubmed: 22537044
G3 (Bethesda). 2017 May 5;7(5):1405-1416
pubmed: 28235826
BMC Physiol. 2014 Nov 06;14:8
pubmed: 25373613
Sci Rep. 2015 Aug 17;5:13068
pubmed: 26278009
Ecotoxicology. 2018 Jul;27(5):556-568
pubmed: 29623456
Bioinformatics. 2013 Jan 1;29(1):15-21
pubmed: 23104886
Cell. 2012 Oct 26;151(3):476-82
pubmed: 23101621
Science. 1926 Sep 3;64(1653):229-30
pubmed: 17817343
Genetics. 2016 Oct;204(2):593-612
pubmed: 27585846
Cell. 2012 Sep 28;151(1):68-79
pubmed: 23021216
Oecologia. 1975 Jun;20(2):157-165
pubmed: 28308822
Trends Immunol. 2002 Mar;23(3):130-5
pubmed: 11864840
Bioinformatics. 2009 Jul 15;25(14):1754-60
pubmed: 19451168
G3 (Bethesda). 2018 May 4;8(5):1523-1533
pubmed: 29535148
Integr Comp Biol. 2017 Aug 1;57(2):385-395
pubmed: 28859411
Dev Cell. 2009 Sep;17(3):425-34
pubmed: 19758566
Sci Rep. 2016 Nov 23;6:37393
pubmed: 27876760
Mol Cell. 2014 Jan 9;53(1):49-62
pubmed: 24289921
Mech Ageing Dev. 2014 Jul;139:1-10
pubmed: 24814302
Genet Res Int. 2012;2012:147892
pubmed: 22567376
BMC Genomics. 2014 Oct 04;15:859
pubmed: 25282344
OMICS. 2012 May;16(5):284-7
pubmed: 22455463
Science. 2011 Feb 4;331(6017):555-61
pubmed: 21292972
J Exp Biol. 2019 Feb 18;222(Pt 4):null
pubmed: 30659083
Environ Sci Technol. 2017 Jan 17;51(2):924-931
pubmed: 27983812
Sci Rep. 2017 Nov 2;7(1):13521
pubmed: 29097757
Genome Biol Evol. 2016 Apr 25;8(4):1185-96
pubmed: 27017526
Cell. 2018 Sep 20;175(1):6-9
pubmed: 30217360
Annu Rev Biochem. 2013;82:323-55
pubmed: 23746257
Epigenomics. 2013 Apr;5(2):113-6
pubmed: 23566087
PLoS Genet. 2011 Mar;7(3):e1001345
pubmed: 21455482
J Chem Ecol. 2011 Jul;37(7):670-6
pubmed: 21614533
Genet Res Int. 2012;2012:174860
pubmed: 22567378
J Exp Zool. 2002 Dec 1;293(7):736-9
pubmed: 12410602
Bioinformatics. 2013 Apr 15;29(8):1035-43
pubmed: 23428641
Trends Ecol Evol. 2013 May;28(5):274-82
pubmed: 23395434
Genetics. 2017 May;206(1):315-332
pubmed: 27932545
Nucleic Acids Res. 2016 Jan 4;44(D1):D481-7
pubmed: 26656494
Genetics. 1972 Aug;71(4):639-42
pubmed: 5055130
Cell. 2007 Jul 13;130(1):77-88
pubmed: 17632057
Genome Biol Evol. 2016 Oct 23;8(10):3120-3139
pubmed: 27604882
BMC Bioinformatics. 2011 Aug 04;12:323
pubmed: 21816040
Chromosoma. 2016 Sep;125(4):769-87
pubmed: 26685998
Genes Dev. 2013 Jun 15;27(12):1318-38
pubmed: 23788621
Sci Data. 2016 May 10;3:160030
pubmed: 27164179
Genome Biol. 2012 Oct 03;13(10):R87
pubmed: 23034086
Genome Biol. 2008;9(9):R137
pubmed: 18798982
Bioinformatics. 2011 Jan 15;27(2):225-31
pubmed: 21098430
Wilhelm Roux Arch Entwickl Mech Org. 1932 Jun;126(2):325-347
pubmed: 28354759
Gerontology. 2009;55(5):550-8
pubmed: 19546513
Chemosphere. 2005 Jun;60(1):74-8
pubmed: 15910904
Genome Biol Evol. 2018 Aug 1;10(8):1988-2007
pubmed: 30060190
Development. 2014 Oct;141(19):3619-26
pubmed: 25249456
Sci Total Environ. 2019 Jan 10;647:1281-1293
pubmed: 30180336
Mol Biosyst. 2016 Feb;12(2):477-9
pubmed: 26661513
PeerJ. 2016 May 10;4:e2004
pubmed: 27190714
Ecol Evol. 2018 Sep 12;8(19):9880-9888
pubmed: 30386583
Genome Res. 2011 Apr;21(4):590-8
pubmed: 21324879

Auteurs

Jouni Kvist (J)

Research Program for Molecular Neurology, University of Helsinki, Helsinki, Finland. Jouni.Kvist@helsinki.fi.

Camila Gonçalves Athanàsio (CG)

Department of Natural Resource Sciences, McGill University, Montréal, Quebec, Canada.

Michael E Pfrender (ME)

Department of Biological Sciences and Environmental Change Initiative, University of Notre Dame, Notre Dame, USA.

James B Brown (JB)

Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, USA.
Centre for Computational Biology (CCB), University of Birmingham, Birmingham, UK.

John K Colbourne (JK)

School of Biosciences, University of Birmingham, Birmingham, UK.

Leda Mirbahai (L)

Warwick Medical School, University of Warwick, Coventry, UK. Leda.Mirbahai@warwick.ac.uk.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH