Evidence map›Paper›PMID 31307377›Full record

ArticleBMC genomics2019

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

Caroline T Cheung, Thao-Vi Nguyen, Aurélie Le Cam, Amélie Patinote, Laurent Journot, Christelle Reynes, Julien Bobe

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Caroline T CheungINRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France.
Thao-Vi NguyenINRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France.
Aurélie Le CamINRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France.
Amélie PatinoteINRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France.
Laurent JournotInstitut de Génomique Fonctionnelle, IGF, Université de Montpellier, CNRS, INSERM, Montpellier, France.
Christelle ReynesInstitut de Génomique Fonctionnelle, IGF, Université de Montpellier, CNRS, INSERM, Montpellier, France.
Julien BobeINRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France. julien.bobe@inra.fr.ORCID http://orcid.org/0000-0002-9355-8227
Laboratoire de Physiologie et Génomique des Poissons · FRCentre National de la Recherche Scientifique · FR

Funding

Agence Nationale de la Recherche ANR-13-BSV7-0015-Maternal Legacy
6 · The paper itself

Abstract

backgroundEgg 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.

resultsWe 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.

conclusionsHere 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.

Indexed as

Gene Expression RegulationProtein BiosynthesisAnimalsFemaleFertilityMaleOvumReal-Time Polymerase Chain ReactionTranscriptomeWnt Signaling PathwayZebrafishDifferentially expressed genesEgg qualityMicroarrayPrediction modelTranscriptomeZebrafish

Identifiers

PMID31307377
PMCPMC6631549
OpenAlexW2959913180

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.