Evidence map›Paper›PMID 18005425›Full record

ArticleBMC bioinformatics2007

Insertions and the emergence of novel protein structure: a structure-based phylogenetic study of insertions.

Haiyan Jiang, Christian Blouin

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Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

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28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Protein Structural Phylogenetics.Genome biology and evolution · 2025
    Review
  4. Protein Fold Usages in Ribosomes: Another Glance to the Past.International journal of molecular sciences · 2024
    Article
  5. Article
  6. Article
  7. Simple mechanisms for the evolution of protein complexity.Protein science : a publication of the Protein Society · 2022
    Review
  8. Article
  9. Article
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  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Haiyan JiangFaculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, B3H 1W5, Canada. haiyan.jiang@dal.ca
Christian Blouin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn protein evolution, the mechanism of the emergence of novel protein domain is still an open question. The incremental growth of protein variable regions, which was produced by stochastic insertions, has the potential to generate large and complex sub-structures. In this study, a deterministic methodology is proposed to reconstruct phylogenies from protein structures, and to infer insertion events in protein evolution. The analysis was performed on a broad range of SCOP domain families.

resultsPhylogenies were reconstructed from protein 3D structural data. The phylogenetic trees were used to infer ancestral structures with a consensus method. From these ancestral reconstructions, 42.7% of the observed insertions are nested insertions, which locate in previous insert regions. The average size of inserts tends to increase with the insert rank or total number of insertions in the variable regions. We found that the structures of some nested inserts show complex or even domain-like fold patterns with helices, strands and loops. Furthermore, a basal level of structural innovation was found in inserts which displayed a significant structural similarity exclusively to themselves. The beta-Lactamase/D-ala carboxypeptidase domain family is provided as an example to illustrate the inference of insertion events, and how the incremental growth of a variable region is capable to generate novel structural patterns.

conclusionUsing 3D data, we proposed a method to reconstruct phylogenies. We applied the method to reconstruct the sequences of insertion events leading to the emergence of potentially novel structural elements within existing protein domains. The results suggest that structural innovation is possible via the stochastic process of insertions and rapid evolution within variable regions where inserts tend to be nested. We also demonstrate that the structure-based phylogeny enables the study of new questions relating to the evolution of protein domain and biological function.

Indexed as

Evolution, MolecularModels, ChemicalModels, GeneticModels, MolecularProteinsAmino Acid SequenceComputer SimulationDNA Transposable ElementsMolecular Sequence DataPhylogenyProtein ConformationSequence Analysis, ProteinStructure-Activity RelationshipDNA Transposable ElementsProteins

Identifiers

PMID18005425
PMCPMC2225427

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.