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The prevalence of long non-coding RNAs (lncRNA) and natural antisense transcripts (NATs) has been reported in a variety of organisms. While a consensus has yet to be reached on their global importance, an increasing number of examples have been shown to be functional, regulating gene expression at the transcriptional and post-transcriptional level. Here, we use RNA sequencing data from the ABI SOLiD platform to identify lncRNA and NATs obtained from samples of the filamentous fungus Neurospora crassa grown under different light and temperature conditions. We identify 939 novel lncRNAs, of which 477 are antisense to annotated genes. Across the whole dataset, the extent of overlap between sense and antisense transcripts is large: 371 sense/antisense transcripts are complementary over 500 nts or more and 236 overlap by more than 1000 nts. Most prevalent are 3' end overlaps between convergently transcribed sense/antisense pairs, but examples of divergently transcribed pairs and nested transcripts are also present. We confirm the expression of a subset of sense/antisense transcript pairs by qPCR. We examine the size, types of overlap and expression levels under the different environmental stimuli of light and temperature, and identify 11 lncRNAs that are up-regulated in response to light. We also find differences in transcript length and the position of introns between protein-coding transcripts that have antisense expression and transcripts with no antisense expression. These results demonstrate the ability of N. crassa lncRNAs and NATs to be regulated by different environmental stimuli and provide the scope for further investigation into the function of NATs.
Pubmed ID: 24621812 RIS Download
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View all literature mentionsThe Rfam database is a collection of RNA families, each represented by multiple sequence alignments, consensus secondary structures and covariance models (CMs). The families in Rfam break down into three broad functional classes: Non-coding RNA genes, structured cis-regulatory elements and self-splicing RNAs. Typically these functional RNAs often have a conserved secondary structure which may be better preserved than the RNA sequence. The CMs used to describe each family are a slightly more complicated relative of the profile hidden Markov models (HMMs) used by Pfam. CMs can simultaneously model RNA sequence and the structure in an elegant and accurate fashion. Rfam is also available via FTP. You can find data in Rfam in various ways... * Analyze your RNA sequence for Rfam matches * View Rfam family annotation and alignments * View Rfam clan details * Query Rfam by keywords * Fetch families or sequences by NCBI taxonomy * Enter any type of accession or ID to jump to the page for a Rfam family, sequence or genome
View all literature mentionsWeb server to search for tRNA genes in genomic sequence. If you would like to run tRNAscan-SE locally, you can get the UNIX source code (gzip''d tar file).
View all literature mentionsWeb server to search for tRNA genes in genomic sequence. If you would like to run tRNAscan-SE locally, you can get the UNIX source code (gzip''d tar file).
View all literature mentionsThe SciCrunch Infrastructure was developed as a cooperative data platform to be used by diverse communities in making data more FAIR.
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