Evidence map›Paper›PMID 22164235›Full record

ArticlePloS one2011

Modes of gene duplication contribute differently to genetic novelty and redundancy, but show parallels across divergent angiosperms.

Yupeng Wang, Xiyin Wang, Haibao Tang, Xu Tan, Stephen P Ficklin, F Alex Feltus, Andrew H Paterson

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Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

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110citing papers in PubMed
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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

110 citing papers in PubMed.

  1. Article
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  4. Distinct evolutionary trajectories of gene duplication modes in 40 diploid cotton genomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  8. Genome-Wide Analysis of thePlants (Basel, Switzerland) · 2025
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  12. Genome-Wide Identification and Expression Analysis of the Alfalfa (International journal of molecular sciences · 2024
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  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

50 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yupeng WangPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, United States of America.
Xiyin Wang
Haibao Tang
Xu Tan
Stephen P Ficklin
F Alex Feltus
Andrew H Paterson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth single gene and whole genome duplications (WGD) have recurred in angiosperm evolution. However, the evolutionary effects of different modes of gene duplication, especially regarding their contributions to genetic novelty or redundancy, have been inadequately explored.

resultsIn Arabidopsis thaliana and Oryza sativa (rice), species that deeply sample botanical diversity and for which expression data are available from a wide range of tissues and physiological conditions, we have compared expression divergence between genes duplicated by six different mechanisms (WGD, tandem, proximal, DNA based transposed, retrotransposed and dispersed), and between positional orthologs. Both neo-functionalization and genetic redundancy appear to contribute to retention of duplicate genes. Genes resulting from WGD and tandem duplications diverge slowest in both coding sequences and gene expression, and contribute most to genetic redundancy, while other duplication modes contribute more to evolutionary novelty. WGD duplicates may more frequently be retained due to dosage amplification, while inferred transposon mediated gene duplications tend to reduce gene expression levels. The extent of expression divergence between duplicates is discernibly related to duplication modes, different WGD events, amino acid divergence, and putatively neutral divergence (time), but the contribution of each factor is heterogeneous among duplication modes. Gene loss may retard inter-species expression divergence. Members of different gene families may have non-random patterns of origin that are similar in Arabidopsis and rice, suggesting the action of pan-taxon principles of molecular evolution.

conclusionGene duplication modes differ in contribution to genetic novelty and redundancy, but show some parallels in taxa separated by hundreds of millions of years of evolution.

Indexed as

Gene DuplicationGene Expression Regulation, PlantAlgorithmsArabidopsisBiological EvolutionConserved SequenceDNA MethylationGenes, PlantGenetic VariationMagnoliopsidaModels, GeneticOryzaPlant Physiological PhenomenaPromoter Regions, GeneticRegression AnalysisSequence Analysis, DNA

Identifiers

PMID22164235
PMCPMC3229532

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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.