The long non-coding RNA landscape of Candida yeast pathogens
Long non-coding RNAs (lncRNAs) constitute a poorly studied class of transcripts with emerging roles in key cellular processes. Despite efforts to characterize lncRNAs across a wide range of species, these molecules remain largely unexplored in most eukaryotic microbes, including yeast pathogens of t...
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Veröffentlicht in: | Nature communications 2021-12, Vol.12 (1), p.7317-7317, Article 7317 |
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Sprache: | eng |
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Zusammenfassung: | Long non-coding RNAs (lncRNAs) constitute a poorly studied class of transcripts with emerging roles in key cellular processes. Despite efforts to characterize lncRNAs across a wide range of species, these molecules remain largely unexplored in most eukaryotic microbes, including yeast pathogens of the
Candida
clade. Here, we analyze thousands of publicly available sequencing datasets to infer and characterize the lncRNA repertoires of five major
Candida
pathogens:
Candida albicans, Candida tropicalis, Candida parapsilosis, Candida auris
and
Candida glabrata
. Our results indicate that genomes of these species encode hundreds of lncRNAs that show levels of evolutionary constraint intermediate between those of intergenic genomic regions and protein-coding genes. Despite their low sequence conservation across the studied species, some lncRNAs are syntenic and are enriched in shared sequence motifs. We find co-expression of lncRNAs with certain protein-coding transcripts, hinting at potential functional associations. Finally, we identify lncRNAs that are differentially expressed during infection of human epithelial cells for four of the studied species. Our comprehensive bioinformatic analyses of
Candida
lncRNAs pave the way for future functional characterization of these transcripts.
Long non-coding RNAs (lncRNAs) play roles in key cellular processes, but remain largely unexplored in fungal pathogens such as
Candida
. Here, Hovhannisyan and Gabaldón analyze thousands of sequencing datasets to infer and characterize the lncRNA repertoires of five
Candida
species, paving the way for their future functional characterization. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-021-27635-4 |