Literature DB >> 25694624

The phylogenetic utility and functional constraint of microRNA flanking sequences.

Nathan J Kenny1, Yung Wa Sin1, Alexander Hayward2, Jordi Paps3, Ka Hou Chu4, Jerome H L Hui5.   

Abstract

MicroRNAs (miRNAs) have recently risen to prominence as novel factors responsible for post-transcriptional regulation of gene expression. miRNA genes have been posited as highly conserved in the clades in which they exist. Consequently, miRNAs have been used as rare genome change characters to estimate phylogeny by tracking their gain and loss. However, their short length (21-23 bp) has limited their perceived utility in sequenced-based phylogenetic inference. Here, using reference taxa with established phylogenetic relationships, we demonstrate that miRNA sequences are of high utility in quantitative, rather than in qualitative, phylogenetic analysis. The clear orthology among miRNA genes from different species makes it straightforward to identify and align these sequences from even fragmentary datasets. We also identify significant sequence conservation in the regions directly flanking miRNA genes, and show that this too is of utility in phylogenetic analysis, as well as highlighting conserved regions that will be of interest to other fields. Employing miRNA sequences from 12 sequenced drosophilid genomes, together with a Tribolium castaneum outgroup, we demonstrate that this approach is robust using Bayesian and maximum-likelihood methods. The utility of these characters is further demonstrated in the rhabditid nematodes and primates. As next-generation sequencing makes it more cost-effective to sequence genomes and small RNA libraries, this methodology provides an alternative data source for phylogenetic analysis. The approach allows rapid resolution of relationships between both closely related and rapidly evolving species, and provides an additional tool for investigation of relationships within the tree of life.
© 2015 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  evolution; flanking sequences; microRNA; non-coding RNA; phylogenetics

Mesh:

Substances:

Year:  2015        PMID: 25694624      PMCID: PMC4345462          DOI: 10.1098/rspb.2014.2983

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  30 in total

1.  MrBayes 3: Bayesian phylogenetic inference under mixed models.

Authors:  Fredrik Ronquist; John P Huelsenbeck
Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

2.  Partitionfinder: combined selection of partitioning schemes and substitution models for phylogenetic analyses.

Authors:  Robert Lanfear; Brett Calcott; Simon Y W Ho; Stephane Guindon
Journal:  Mol Biol Evol       Date:  2012-01-20       Impact factor: 16.240

Review 3.  MicroRNAs and metazoan macroevolution: insights into canalization, complexity, and the Cambrian explosion.

Authors:  Kevin J Peterson; Michael R Dietrich; Mark A McPeek
Journal:  Bioessays       Date:  2009-07       Impact factor: 4.345

4.  The deep evolution of metazoan microRNAs.

Authors:  Benjamin M Wheeler; Alysha M Heimberg; Vanessa N Moy; Erik A Sperling; Thomas W Holstein; Steffen Heber; Kevin J Peterson
Journal:  Evol Dev       Date:  2009 Jan-Feb       Impact factor: 1.930

5.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

6.  Global coevolution of human microRNAs and their target genes.

Authors:  Shahar Barbash; Sagiv Shifman; Hermona Soreq
Journal:  Mol Biol Evol       Date:  2014-03-04       Impact factor: 16.240

7.  Toward consilience in reptile phylogeny: miRNAs support an archosaur, not lepidosaur, affinity for turtles.

Authors:  Daniel J Field; Jacques A Gauthier; Benjamin L King; Davide Pisani; Tyler R Lyson; Kevin J Peterson
Journal:  Evol Dev       Date:  2014-05-05       Impact factor: 1.930

8.  microRNAs reveal the interrelationships of hagfish, lampreys, and gnathostomes and the nature of the ancestral vertebrate.

Authors:  Alysha M Heimberg; Richard Cowper-Sal-lari; Marie Sémon; Philip C J Donoghue; Kevin J Peterson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-19       Impact factor: 11.205

9.  MAFFT multiple sequence alignment software version 7: improvements in performance and usability.

Authors:  Kazutaka Katoh; Daron M Standley
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

10.  Human polymorphism at microRNAs and microRNA target sites.

Authors:  Matthew A Saunders; Han Liang; Wen-Hsiung Li
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-20       Impact factor: 11.205

View more
  9 in total

Review 1.  A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome.

Authors:  Bastian Fromm; Tyler Billipp; Liam E Peck; Morten Johansen; James E Tarver; Benjamin L King; James M Newcomb; Lorenzo F Sempere; Kjersti Flatmark; Eivind Hovig; Kevin J Peterson
Journal:  Annu Rev Genet       Date:  2015-10-14       Impact factor: 16.830

2.  Large-Scale Annotation and Evolution Analysis of MiRNA in Insects.

Authors:  Xingzhou Ma; Kang He; Zhenmin Shi; Meizhen Li; Fei Li; Xue-Xin Chen
Journal:  Genome Biol Evol       Date:  2021-05-07       Impact factor: 3.416

3.  Well-Annotated microRNAomes Do Not Evidence Pervasive miRNA Loss.

Authors:  James E Tarver; Richard S Taylor; Mark N Puttick; Graeme T Lloyd; Walker Pett; Bastian Fromm; Bettina E Schirrmeister; Davide Pisani; Kevin J Peterson; Philip C J Donoghue
Journal:  Genome Biol Evol       Date:  2018-06-01       Impact factor: 3.416

4.  miRTrace reveals the organismal origins of microRNA sequencing data.

Authors:  Wenjing Kang; Yrin Eldfjell; Bastian Fromm; Xavier Estivill; Inna Biryukova; Marc R Friedländer
Journal:  Genome Biol       Date:  2018-12-04       Impact factor: 13.583

5.  Ancient microRNA profiles of a 14,300-year-old canid samples confirm taxonomic origin and give glimpses into tissue-specific gene regulation from the Pleistocene.

Authors:  Bastian Fromm; Marcel Tarbier; Oliver Smith; Emilio Marmol-Sanchez; Love Dalen; Tom P Gilbert; Marc R Friedlander
Journal:  RNA       Date:  2020-12-15       Impact factor: 4.942

6.  Sequence Diversity, Locus Structure, and Evolutionary History of the SpTransformer Genes in the Sea Urchin Genome.

Authors:  Megan A Barela Hudgell; L Courtney Smith
Journal:  Front Immunol       Date:  2021-11-15       Impact factor: 7.561

7.  MicroRNA-4722-5p and microRNA-615-3p serve as potential biomarkers for Alzheimer's disease.

Authors:  Yan Liu; Yuhao Xu; Ming Yu
Journal:  Exp Ther Med       Date:  2022-01-26       Impact factor: 2.447

8.  New Insights into Mitochondrial-Nuclear Interactions Revealed through Analysis of Small RNAs.

Authors:  Andrea Pozzi; Damian K Dowling
Journal:  Genome Biol Evol       Date:  2022-02-04       Impact factor: 3.416

9.  The Interrelationships of Placental Mammals and the Limits of Phylogenetic Inference.

Authors:  James E Tarver; Mario Dos Reis; Siavash Mirarab; Raymond J Moran; Sean Parker; Joseph E O'Reilly; Benjamin L King; Mary J O'Connell; Robert J Asher; Tandy Warnow; Kevin J Peterson; Philip C J Donoghue; Davide Pisani
Journal:  Genome Biol Evol       Date:  2016-01-05       Impact factor: 3.416

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.