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Gene Families01:57

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Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
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The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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Using Disease-Associated Coding Sequence Variation to Investigate Functional Compensation by Human Paralogous

Sayaka Miura1, Stephanie Tate2, Sudhir Kumar3

  • 1Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA.

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Gene duplication does not appear to compensate for gene function loss. Instead, proteins with gene duplicates show higher disease variant density, suggesting evolutionary constraints, not compensation.

Keywords:
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Area of Science:

  • Genomics
  • Molecular Evolution
  • Human Genetics

Background:

  • Gene duplication is a key driver of functional diversification.
  • The functional compensation hypothesis posits that duplicated genes can buffer disruptions in one copy.
  • Evidence for gene duplication compensation remains debated, with conflicting findings across studies.

Purpose of the Study:

  • To systematically test the functional compensation hypothesis using molecular evolutionary analysis.
  • To investigate the relationship between gene duplication, disease variant density, and evolutionary constraints.
  • To determine if functional compensation or evolutionary constraint better explains observed human genetic variation patterns.

Main Methods:

  • Comparative analysis of Mendelian disease-associated single nucleotide variants (dSNVs) density in single-copy genes versus genes in multigene families.
  • Assessment of evolutionary rates (amino acid evolution) in proteins with and without paralogs.
  • Evaluation of results across varying gene family sizes, ages, and sequence similarities.

Main Results:

  • Proteins with paralogs exhibited over 35% higher dSNV density compared to singletons.
  • Proteins with paralogs evolved 33% slower, indicating stronger functional constraints.
  • These patterns were consistent regardless of family size, duplicate age, or sequence similarity.

Conclusions:

  • The study found no significant evidence for functional compensation among paralogous proteins in human disease variation.
  • An evolutionary constraint hypothesis provides a more robust explanation for observed patterns of disease-associated variants and neutral polymorphisms.
  • Gene duplication may correlate with slower evolution and higher disease variant density due to functional constraints rather than compensation.