Efficient and specific DNA oligonucleotide rRNA probe-based rRNA removal in .

Mycology

Department of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.

Published: January 2022

AI Article Synopsis

  • LncRNAs are increasingly recognized for their crucial roles in various biological processes in fungi, but identifying them in non-model fungi has been difficult due to challenges with current rRNA removal techniques.* -
  • Researchers developed a new, cost-effective rRNA depletion method (rProbe) that successfully eliminates over 99% of rRNA in yeast and mycelium samples, showing better efficiency than existing commercial kits.* -
  • Using the rProbe RNA-seq method, the study identified 115 differentially expressed lncRNAs and created a co-expression network linked to the dimorphic switch of T. marneffei, highlighting its potential for studying non-coding RNAs in non-model fungi.*

Article Abstract

Emerging evidence showed that lncRNAs play important roles in a wide range of biological processes of fungi such as . However, systemic identification of lncRNAs in non-model fungi is a challenging task as the efficiency of rRNA removal has been proved to be affected by mismatches of universal rRNA-targeting probes of commercial kits, which forces deeper sequencing depth and increases costs. Here, we developed a low-cost and simple rRNA depletion method (rProbe) that could efficiently remove more than 99% rRNA in both yeast and mycelium samples of . The efficiency and robustness of rProbe were demonstrated to outperform the Illumina Ribo-Zero kit. Using rProbe RNA-seq, we identified 115 differentially expressed lncRNAs and constructed lncRNA-mRNA co-expression network related to dimorphic switch of T. marneffei. Our rRNA removal method has the potential to be a useful tool to explore non-coding transcriptomes of non-model fungi by adjusting rRNA probe sequences species specifically.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9196791PMC
http://dx.doi.org/10.1080/21501203.2021.2017045DOI Listing

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