What makes a bad egg? Egg transcriptome reveals dysregulation of translational machinery and novel fertility genes important for fertilization

Autor:	Christelle Reynes, Thuy Thao Vi Nguyen, Caroline Cheung, Aurélie Le Cam, Julien Bobe, Amélie Patinote, Laurent Journot
Přispěvatelé:	Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Recherche Agronomique (INRA), Institut de Génomique Fonctionnelle - Montpellier GenomiX (IGF MGX), Institut de Génomique Fonctionnelle (IGF), Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), ANR-13-BSV7–0015-Maternal Legacy, ANR-13-BSV7-0015-Maternal Legacy, Agence Nationale de la Recherche, ANR-13-BSV7-0015,Maternal Legacy,Portait moléculaire d'un oeuf de poisson de bonne qualité(2013)
Rok vydání:	2019
Předmět:	0106 biological sciences Male Candidate gene [SDV]Life Sciences [q-bio] poisson zèbre Microarray 01 natural sciences Transcriptome oeuf de poisson Human fertilization poisson cyprinidae ontology Zebrafish Wnt Signaling Pathway développement de l'embryon ontologie Genetics 0303 health sciences fécondation egg quality transcriptome microarray zebrafish differentially expressed genes prediction model Embryo transcrit Phenotype danio rerio embryonic structures Female DNA microarray transcription danio devario Egg quality Biotechnology expression des gènes Research Article lcsh:QH426-470 qualité des oeufs lcsh:Biotechnology bacterialresistance transfer factor Biology Real-Time Polymerase Chain Reaction reproduction fertilité 03 medical and health sciences Prediction model lcsh:TP248.13-248.65 Animals Gene CRISPR/Cas9 030304 developmental biology Ovum fish biology.organism_classification modèle prédictif sex factors lcsh:Genetics Fertility Gene Expression Regulation Protein Biosynthesis Differentially expressed genes 010606 plant biology & botany
Zdroj:	BMC Genomics BMC Genomics (20:584), 1-14. (2019) BMC Genomics, BioMed Central, 2019, 20:584 (1), pp.1-14. ⟨10.1186/s12864-019-5930-8⟩ BMC Genomics, Vol 20, Iss 1, Pp 1-14 (2019)
ISSN:	1471-2164
DOI:	10.1186/s12864-019-5930-8⟩
Popis:	Background Egg quality can be defined as the egg ability to be fertilized and subsequently develop into a normal embryo. Previous research has shed light on factors that can influence egg quality. Large gaps however remain including a comprehensive view of what makes a bad egg. Initial development of the embryo relies on maternally-inherited molecules, such as transcripts, deposited in the egg during its formation. Bad egg quality is therefore susceptible to be associated with alteration or dysregulation of maternally-inherited transcripts. We performed transcriptome analysis on a large number (N = 136) of zebrafish egg clutches, each clutch being split to monitor developmental success and perform transcriptome analysis in parallel. We aimed at drawing a molecular portrait of the egg in order to characterize the relation between egg transcriptome and developmental success and to subsequently identify new candidate genes involved in fertility. Results We identified 66 transcript that were differentially abundant in eggs of contrasted phenotype (low or high developmental success). Statistical modeling using partial least squares regression and genetics algorithm demonstrated that gene signatures from transcriptomic data can be used to predict developmental success. The identity and function of differentially expressed genes indicate a major dysregulation of genes of the translational machinery in poor quality eggs. Two genes, otulina and slc29a1a, predominantly expressed in the ovary and dysregulated in poor quality eggs were further investigated using CRISPR/Cas9 mediated genome editing. Mutants of each gene revealed remarkable subfertility whereby the majority of their eggs were unfertilizable. The Wnt pathway appeared to be dysregulated in the otulina mutant-derived eggs. Conclusions Here we show that egg transcriptome contains molecular signatures, which can be used to predict developmental success. Our results also indicate that poor egg quality in zebrafish is associated with a dysregulation of (i) the translational machinery genes and (ii) novel fertility genes, otulina and slc29a1a, playing an important role for fertilization. Together, our observations highlight the diversity of the possible causes of egg quality defects and reveal mechanisms of maternal origin behind the lack of fertilization and early embryonic failures that can occur under normal reproduction conditions. Electronic supplementary material The online version of this article (10.1186/s12864-019-5930-8) contains supplementary material, which is available to authorized users.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d0b9d79077cd3287ce4c6b10d0165d7 https://pubmed.ncbi.nlm.nih.gov/31307377 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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