# Sex Differences in Cochlear Transcriptomes in Horseshoe Bats

**Authors:** Jianyu Wu, Can Duan, Linjing Lan, Wenli Chen, Xiuguang Mao

PMC · DOI: 10.3390/ani14081177 · Animals : an Open Access Journal from MDPI · 2024-04-14

## TL;DR

This study explores how gene expression and splicing differences in the cochlea of horseshoe bats contribute to sexual dimorphism in echolocation pulse frequency.

## Contribution

The study identifies sex-biased gene expression and splicing in bats linked to echolocation differences and hearing-related genes.

## Key findings

- The largest number of differentially expressed and spliced genes were found in R. sinicus, correlating with sexual differences in echolocation pulse frequency.
- Some genes are related to hearing loss or deafness in humans and mice, suggesting their role in bat echolocation sexual dimorphism.
- Multiple DEGs and ASGs were detected in taxa without frequency differences, indicating other echolocation parameters may be involved.

## Abstract

Phenotypic difference between males and females (sexual dimorphism) is widespread in animals. These sexual dimorphisms, in particular vocalizations and acoustic signals, have been shown to play important roles in mating choice and sexual selection. However, little is known about the molecular mechanisms underlying these phenotypic variations. In this study, we used the four taxa of the horseshoe bats to explore the patterns of gene regulations responsible for sex differences of echolocation pulse frequency. By analyzing the transcriptomes of both males and females in each taxon, we identified the genes with either a differential expression or alternative splicing and some of these genes are found to be related to hearing in human or mice. Our results support that differences in the degree of phenotypic sexual dimorphism can be encoded by the magnitude of sex-biased gene expression or splicing. In addition, our results indicate that the sex differences of the echolocation pulse may contain multiple parameters apart from the frequency component. Overall, this study provides growing evidences for supporting the important roles of both gene expression changes and alternative splicing in phenotypic variations.

Sexual dimorphism of calls is common in animals, whereas studies on the molecular basis underlying this phenotypic variation are still scarce. In this study, we used comparative transcriptomics of cochlea to investigate the sex-related difference in gene expression and alternative splicing in four Rhinolophus taxa. Based on 31 cochlear transcriptomes, we performed differential gene expression (DGE) and alternative splicing (AS) analyses between the sexes in each taxon. Consistent with the degree of difference in the echolocation pulse frequency between the sexes across the four taxa, we identified the largest number of differentially expressed genes (DEGs) and alternatively spliced genes (ASGs) in R. sinicus. However, we also detected multiple DEGs and ASGs in taxa without sexual differences in echolocation pulse frequency, suggesting that these genes might be related to other parameters of echolocation pulse rather than the frequency component. Some DEGs and ASGs are related to hearing loss or deafness genes in human or mice and they can be considered to be candidates associated with the sexual differences of echolocation pulse in bats. We also detected more than the expected overlap of DEGs and ASGs in two taxa. Overall, our current study supports the important roles of both DGE and AS in generating or maintaining sexual differences in animals.

## Linked entities

- **Diseases:** hearing loss (MONDO:0005365), deafness (MONDO:0005365)
- **Species:** Rhinolophus (taxon 49442), Homo sapiens (taxon 9606), Mus musculus (taxon 10090)

## Full-text entities

- **Diseases:** hearing loss (MESH:D034381), deafness (MESH:D003638)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Rhinolophus (genus) [taxon 49442], Homo sapiens (human, species) [taxon 9606], Chiroptera (bats, order) [taxon 9397]

## Full text

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## Figures

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## References

77 references — full list in the complete paper: https://tomesphere.com/paper/PMC11047584/full.md

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Source: https://tomesphere.com/paper/PMC11047584