Evidence map›Paper›PMID 38883803›Full record

ArticleEvolutionary bioinformatics online2024

The Spatio-Temporal Expression Profiles of Silkworm Pseudogenes Provide Valuable Insights into Their Biological Roles.

Linrong Wan, Siyuan Su, Jinyun Liu, Bangxing Zou, Yaming Jiang, Beibei Jiao, Shaokuan Tang, Youhong Zhang, Cao Deng, Wenfu Xiao

Abstract read
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Article in Evolutionary bioinformatics online, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Linrong WanSericultural Research Institute, Sichuan Academy of Agricultural Sciences, Nanchong, Sichuan, China.
Siyuan SuSericultural Research Institute, Sichuan Academy of Agricultural Sciences, Nanchong, Sichuan, China.
Jinyun LiuResearch and Development Center, LyuKang, Chengdu, China.
Bangxing ZouSericultural Research Institute, Sichuan Academy of Agricultural Sciences, Nanchong, Sichuan, China.
Yaming JiangSericultural Research Institute, Sichuan Academy of Agricultural Sciences, Nanchong, Sichuan, China.
Beibei JiaoResearch and Development Center, LyuKang, Chengdu, China.
Shaokuan TangResearch and Development Center, LyuKang, Chengdu, China.
Youhong ZhangSericultural Research Institute, Sichuan Academy of Agricultural Sciences, Nanchong, Sichuan, China.
Cao DengResearch and Development Center, LyuKang, Chengdu, China.
Wenfu XiaoSericultural Research Institute, Sichuan Academy of Agricultural Sciences, Nanchong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pseudogenes are sequences that have lost the ability to transcribe RNA molecules or encode truncated but possibly functional proteins. While they were once considered to be meaningless remnants of evolution, recent researches have shown that pseudogenes play important roles in various biological processes. However, the studies of pseudogenes in the silkworm, an important model organism, are limited and have focused on single or only a few specific genes. Objective: To fill these gaps, we present a systematic genome-wide studies of pseudogenes in the silkworm. Methods: We identified the pseudogenes in the silkworm using the silkworm genome assemblies, transcriptome, protein sequences from silkworm and its related species. Then we used transcriptome datasets from 832 RNA-seq analyses to construct spatio-temporal expression profiles for these pseudogenes. Additionally, we identified tissue-specifically expressed and differentially expressed pseudogenes to further understand their characteristics. Finally, the functional roles of pseudogenes as lncRNAs were systematically analyzed. Results: We identified a total of 4410 pseudogenes, which were grouped into 4 groups, including duplications (DUPs), unitary pseudogenes (Unitary), processed pseudogenes (retropseudogenes, RETs), and fragments (FRAGs). The most of pseudogenes in the domestic silkworm were generated before the divergence of wild and domestic silkworm, however, the domestication may also involve in the accumulation of pseudogenes. These pseudogenes were clearly divided into 2 cluster, a highly expressed and a lowly expressed, and the posterior silk gland was the tissue with the most tissue-specific pseudogenes (199), implying these pseudogenes may be involved in the development and function of silkgland. We identified 3299 lncRNAs in these pseudogenes, and the target genes of these lncRNAs in silkworm pseudogenes were enriched in the egg formation and olfactory function. Conclusions: This study replenishes the genome annotations for silkworm, provide valuable insights into the biological roles of pseudogenes. It will also contribute to our understanding of the complex gene regulatory networks in the silkworm and will potentially have implications for other organisms as well.

Indexed as

Bombyx morievolutionlncRNApseudogenestissue-specific

Identifiers

PMID38883803
PMCPMC11179516

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