Back

miR-202 drives medaka fertility by targeting antagonistic Yap-dependent transcriptional regulators tead3b and vgll4b in a sex-dependent manner

Janati-Idrissi, S.; Lagarde, C.; Brionne, A.; Thomas, M.; Seitz, H.; Thermes, V.; Bobe, J.

2026-02-13 genetics
10.64898/2026.02.12.705488 bioRxiv
Show abstract

How miRNAs can sometimes drive major organism-level phenotypes by targeting a single gene and by triggering limited changes in mRNA levels remains poorly understood, especially in vertebrates. In medaka, the knockout of miR-202-5p, a gonad-specific miRNA in vertebrates, leads to impaired male and female fertility, including drastically reduced egg production and low developmental success. Here we show that miR-202-5p drives gamete formation by targeting antagonist Yap-dependent transcriptional regulators tead3b and vgll4b in a sex-dependent manner. Disruption of the miR-202-5p binding site in the 3UTR of tead3b, but not vgll4b, results in a significant decrease in female fertility. In contrast, disrupting miR-202-5p target site in the 3UTR of vgll4b, but not tead3b, results in impaired male fertility. In females, 3D ovary imaging and RNA-seq analysis of isolated ovarian follicles revealed that disrupting miR-202-5p binding to the 3 UTR of tead3b results in a polycystic ovarian syndrome (PCOS)-like phenotype and the expression of many PCOS-associated marker, including androgen signaling and estrogen metabolism genes. In males, disrupting miR-202-5p binding to the 3UTR of vgll4b triggers severe phenotypes, including reduced sperm motility and abnormal testicular development. No effects on sex ratio were observed, indicating that miR-202-5p drives gamete formation by regulating mechanisms acting down-stream of the sex-determining cascade. The analysis of miR-202-5p target sites in 3 UTRs suggests long-term conservation of antagonistic TEAD and VGLL targeting across vertebrate species, including mammals. Together, our results show that miR-202-5p drives fertility by leveraging antagonistic Yap-dependent transcriptional regulators in a sex dependent manner.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.