Cited by 78Genomics and Phylogenetic StudiesRNA Research and SplicingFungal and yeast genetics research

Revisiting the yeast PPR proteins–application of an iterative hidden Markov model algorithm reveals new members of the rapidly evolving family

Lipinski, Kamil A., Puchta, Olga, Surendranath, Vineeth, Kudla, Marek, Golik, Pawel·2011·Molecular Biology and Evolution

Abstract

Pentatricopeptide repeat (PPR) proteins are the largest known RNA-binding protein family, and are found in all eukaryotes, being particularly abundant in higher plants. PPR proteins localize mostly to mitochondria and chloroplasts, and many were shown to modulate organellar genome expression on the posttranscriptional level. Although the genomes of land plants encode hundreds of PPR proteins, only a few have been identified in Fungi and Metazoa. As the current PPR motif profiles are built mainly on the basis of the predominant plant sequences, they are unlikely to be optimal for detecting fungal and animal members of the family, and many putative PPR proteins in these genomes may remain undetected. In order to verify this hypothesis, we designed a hidden Markov model-based bioinformatic tool called Supervised Clustering-based Iterative Phylogenetic Hidden Markov Model algorithm for the Evaluation of tandem Repeat motif families (SCIPHER) using sequence data from orthologous clusters from available yeast genomes. This approach allowed us to assign 12 new proteins in Saccharomyces cerevisiae to the PPR family. Similarly, in other yeast species, we obtained a 5-fold increase in the detection of PPR motifs, compared with the previous tools. All the newly identified S. cerevisiae PPR proteins localize in the mitochondrion and are a part of the RNA processing interaction network. Furthermore, the yeast PPR proteins seem to undergo an accelerated divergent evolution. Analysis of single and double amino acid substitutions in the Dmr1 protein of S. cerevisiae suggests that cooperative interactions between motifs and pseudoreversion could be the force driving this rapid evolution.

Integrity signals

Registry

Crossref · 10.1093/molbev/msr120

Cites

86 of 86 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • PPR proteins play an important role in the control of eukaryotic mitochondrial gene expression, including transcript end maturation, splicing, editing, RNA stabilization, and transcriptional and translational activation.

    “Pentatricopeptide repeat (PPR) proteins play an important role in the control of eukaryotic mitochondrial gene expression, including transcript end maturation, splicing, editing, RNA stabilization, and transcriptional and translational activation (Schmitz-Linneweber and Small 2008; Lipinski et al. 2011; Kühl et al. 2011; Herbert et al. 2013; Wang et al. 2017; Barros and Tzagoloff 2017; Seshadri et”
  • Thirteen putative C. albicans PPR proteins were identified using the SCIPHER algorithm by Lipinski et al. (2011), and 9 of them show clear orthology to well-characterized PPR proteins of S. cerevisiae and S. pombe.

    “Thirteen putative C. albicans PPR proteins were identified using the SCIPHER algorithm by Lipinski et al. (2011), and 9 of them show clear orthology to well-characterized PPR proteins of S. cerevisiae and S. pombe (CaAep3p, CaAep2p, CaDmr1p, CaRpo41p, CaPet111p, CaPet309p, CaAtp22p, CaRmd9p, and CaCbp1p) (Kühl et al. 2011; Lipinski et al. 2011; Herbert et al. 2013).”

Cites

Flagged first, then by citations

1 of the 87 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Lipinski, K. A., Puchta, O., Surendranath, V., Kudla, M., & Golik, P.
Affiliations
  • University of Warsaw (PL)
  • Institute of Biochemistry and Biophysics, Polish Academy of Sciences (PL)
  • Max Planck Institute of Molecular Cell Biology and Genetics (DE)
Venue
Molecular Biology and Evolution
Published
2011-05-04
Volume
28
Issue
10
Pages
2935-2948
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2128711175
Cited by
62
References
87
Citations by year
2026: 2 · 2025: 2 · 2024: 1 · 2023: 12 · 2022: 2 · 2021: 2 · 2020: 3 · 2019: 2 · 2018: 1 · 2017: 3 · 2016: 4 · 2015: 3 · 2014: 3 · 2013: 10 · 2012: 8
FWCI
3.24
Type
journal article
Language
en
Open access
closed
Locations
  • Molecular Biology and Evolution (publishedVersion)
  • PubMed (publishedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
Keywords
pentatricopeptide repeat proteins, PPR proteins, yeast, Saccharomyces cerevisiae, hidden Markov models, mitochondrial RNA processing, post-transcriptional regulation, accelerated evolution, protein family identification
MeSH terms
Algorithms, Amino Acid Sequence, Markov Chains, Molecular Sequence Data, Phylogeny, Cluster Analysis, Sequence Alignment, RNA-Binding Proteins, Evolution, Molecular, Genomics, Saccharomyces cerevisiae Proteins, Genome, Mitochondrial

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review