Abstract

BackgroundWith the development of rapid and inexpensive DNA sequencing, the genome sequences of more than 100 fungal species have been made available. This dataset provides an excellent resource for comparative genomics analyses, which can be used to discover genetic elements, including noncoding RNAs (ncRNAs). Bioinformatics tools similar to those used to uncover novel ncRNAs in bacteria, likewise, should be useful for searching fungal genomic sequences, and the relative ease of genetic experiments with some model fungal species could facilitate experimental validation studies.ResultsWe have adapted a bioinformatics pipeline for discovering bacterial ncRNAs to systematically analyze many fungal genomes. This comparative genomics pipeline integrates information on conserved RNA sequence and structural features with alternative splicing information to reveal fungal RNA motifs that are candidate regulatory domains, or that might have other possible functions. A total of 15 prominent classes of structured ncRNA candidates were identified, including variant HDV self-cleaving ribozyme representatives, atypical snoRNA candidates, and possible structured antisense RNA motifs. Candidate regulatory motifs were also found associated with genes for ribosomal proteins, S-adenosylmethionine decarboxylase (SDC), amidase, and HexA protein involved in Woronin body formation. We experimentally confirm that the variant HDV ribozymes undergo rapid self-cleavage, and we demonstrate that the SDC RNA motif reduces the expression of SAM decarboxylase by translational repression. Furthermore, we provide evidence that several other motifs discovered in this study are likely to be functional ncRNA elements.ConclusionsSystematic screening of fungal genomes using a computational discovery pipeline has revealed the existence of a variety of novel structured ncRNAs. Genome contexts and similarities to known ncRNA motifs provide strong evidence for the biological and biochemical functions of some newly found ncRNA motifs. Although initial examinations of several motifs provide evidence for their likely functions, other motifs will require more in-depth analysis to reveal their functions.

Highlights

  • With the development of rapid and inexpensive DNA sequencing, the genome sequences of more than 100 fungal species have been made available

  • Identification of candidate structured ncRNAs Promising ncRNA motifs were identified by initially applying our computational pipeline to fungal genome sequences present in NCBI RefSeq Release 29 [35], and later data from RefSeq Release 62 were incorporated into this study

  • The atypical small nucleolar RNAs (snoRNAs) motif examples we identified carry two regions that closely approximate the C box (AUGAUGY) and D box (CUGA), the apparent Cbox (AUGAGAC) and Dbox (CAGA) consensus sequences correspond to the consensus snoRNA sequences more poorly

Read more

Summary

Introduction

With the development of rapid and inexpensive DNA sequencing, the genome sequences of more than 100 fungal species have been made available. This dataset provides an excellent resource for comparative genomics analyses, which can be used to discover genetic elements, including noncoding RNAs (ncRNAs). The yeast Saccharomyces cerevisiae provided the first genome of a eukaryote to be completely sequenced [4]. This was followed quickly by the sequencing of additional fungal genomes, including Schizosaccharomyces pombe [5], and Neurospora crassa [6]. These genome sequences serve as excellent resources for conducting comparative genomics analyses to find common features among diverse fungal species

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call