ArticleGenome biology and evolution2010
Relaxed purifying selection and possibly high rate of adaptation in primate lineage-specific genes.
Article in Genome biology and evolution, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
65 citing papers in PubMed.
- Review
- Gene function predicts divergence across molecular levels.bioRxiv : the preprint server for biology · 2026Article
- Identification of cancer mini-drivers by deciphering selective landscape in the cancer genome.Briefings in bioinformatics · 2026Article
- Comparative analysis of m6A mRNA modification inFrontiers in genetics · 2026Article
- Machine learning can distinguish orphans that have resulted from sequence divergence beyond recognition.Bioinformatics advances · 2026Article
- Multiple human enhancer RNAs contain long translated open reading frames.Genes & development · 2025Article
- Bone mechano-response is driven by locomotion transitions during vertebrate evolution.Communications biology · 2025Article
- Ancestral Sequence Reconstruction as a Tool to Detect and Study De Novo Gene Emergence.Genome biology and evolution · 2024Article
- Parallel gene size and isoform expansion of ancient neuronal genes.Current biology : CB · 2024Article
- Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms.Nature communications · 2023Article
- De novo human brain enhancers created by single-nucleotide mutations.Science advances · 2023Article
- A comparative analysis of mitochondrial ORFs provides new insights on expansion of mitochondrial genome size in Arcidae.BMC genomics · 2022Article
- Strong evidence for the adaptive walk model of gene evolution in Drosophila and Arabidopsis.PLoS biology · 2022Article
- Article
- Factors That Affect the Rates of Adaptive and Nonadaptive Evolution at the Gene Level in Humans and Chimpanzees.Genome biology and evolution · 2022Article
- Research Advances and Prospects of Orphan Genes in Plants.Frontiers in plant science · 2022Review
- Cancer, Retrogenes, and Evolution.Life (Basel, Switzerland) · 2021Review
- Genome-Wide Identification, Characterization and Function Analysis of Lineage-Specific Genes in the Tea PlantFrontiers in genetics · 2021Article
- Current Progress in Evolutionary Comparative Genomics of Great Apes.Frontiers in genetics · 2021Review
- Origin and Evolution of the Human Bcl2-Associated Athanogene-1 (BAG-1).International journal of molecular sciences · 2020Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genes in the same organism vary in the time since their evolutionary origin. Without horizontal gene transfer, young genes are necessarily restricted to a few closely related species, whereas old genes can be broadly distributed across the phylogeny. It has been shown that young genes evolve faster than old genes; however, the evolutionary forces responsible for this pattern remain obscure. Here, we classify human-chimp protein-coding genes into different age classes, according to the breath of their phylogenetic distribution. We estimate the strength of purifying selection and the rate of adaptive selection for genes in different age classes. We find that older genes carry fewer and less frequent nonsynonymous single-nucleotide polymorphisms than younger genes suggesting that older genes experience a stronger purifying selection at the protein-coding level. We infer the distribution of fitness effects of new deleterious mutations and find that older genes have proportionally more slightly deleterious mutations and fewer nearly neutral mutations than younger genes. To investigate the role of adaptive selection of genes in different age classes, we determine the selection coefficient (gamma = 2N(e)s) of genes using the MKPRF approach and estimate the ratio of the rate of adaptive nonsynonymous substitution to synonymous substitution (omega(A)) using the DoFE method. Although the proportion of positively selected genes (gamma > 0) is significantly higher in younger genes, we find no correlation between omega(A) and gene age. Collectively, these results provide strong evidence that younger genes are subject to weaker purifying selection and more tenuous evidence that they also undergo adaptive evolution more frequently.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.