How Often Does Filtering of Alignment Columns Improve the Phylogenetic Inference of Two-Domain Proteins?

ae-mail: sas@belozersky.msu.ru Protein phylogeny is usually reconstructed basing on a multiple alignment of amino acid sequences. One of the problems of such alignments is the presence of regions with different degree of conservation, including those with a questionable quality of the alignment. This problem is often solved by filtering the alignment columns with a special software developed for this purpose. In this work, we investigated various approaches to the phylogeny reconstruction using proteins with two evolutionary domains as examples. The sequences of such proteins are inherently heterogeneous in the degree of conservation due to the presence of both evolutionary domains and linkers between them, as well as the N- and C-termini. It is shown that filtering the alignment columns on average improves the quality of reconstruction only when using the full-length sequences and only for eukaryotic proteins. Limiting the alignment to the evolutionary domains with rejection of less conserved linkers and terminal sequences on average worsened the quality of phylogenetic reconstruction.

Annotation of nuclear lncRNAs based on chromatin interactions.

The human genome is pervasively transcribed and produces a wide variety of long non-coding RNAs (lncRNAs), constituting the majority of transcripts across human cell types. Some specific nuclear lncRNAs have been shown to be important regulatory components acting locally. As RNA-chromatin interaction and Hi-C chromatin conformation data showed that chromatin interactions of nuclear lncRNAs are determined by the local chromatin 3D conformation, we used Hi-C data to identify potential target genes of lncRNAs. RNA-protein interaction data suggested that nuclear lncRNAs act as scaffolds to recruit regulatory proteins to target promoters and enhancers. Nuclear lncRNAs may therefore play a role in directing regulatory factors to locations spatially close to the lncRNA gene. We provide the analysis results through an interactive visualization web portal at https://fantom.gsc.riken.jp/zenbu/reports/#F6_3D_lncRNA.