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Comparing Copy Number Variations and SNPs02:26

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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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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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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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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DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
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Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
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Updated: May 31, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
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Multilevel Gene Expression Changes in Lineages Containing Adaptive Copy Number Variants.

Pieter Spealman1, Carolina de Santana2, Titir De1

  • 1Center for Genomics and Systems Biology, Department of Biology-New York University, New York, NY, USA.

Molecular Biology and Evolution
|January 23, 2025
PubMed
Summary
This summary is machine-generated.

Copy number variants (CNVs) drive yeast adaptation by altering gene expression. While CNVs increase mRNA, protein levels show less change due to post-transcriptional regulation, revealing complex genome evolution impacts.

Keywords:
Ssd1adaptationchemostatcopy number variationgene expresssionuORF

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Area of Science:

  • Evolutionary Biology
  • Genetics
  • Molecular Biology

Background:

  • Copy number variants (CNVs) are key drivers of rapid adaptive evolution.
  • CNVs can enhance organism fitness but may also impose costs via increased gene expression and repetitive DNA.
  • Previous studies observed recurrent CNV evolution at the GAP1 locus in Saccharomyces cerevisiae under glutamine limitation.

Purpose of the Study:

  • To investigate the role of gene expression in adaptation mediated by CNVs.
  • To understand how CNVs affect gene expression at transcriptional, translational, and proteomic levels.
  • To identify regulatory mechanisms underlying gene expression changes in evolved yeast strains.

Main Methods:

  • Evolved four unique CNV strains of Saccharomyces cerevisiae in glutamine-limited chemostats.
  • Measured transcriptome, translatome, and proteome of evolved strains and their ancestor.
  • Analyzed gene expression efficiency across multiple regulatory levels.

Main Results:

  • CNV-amplified genes showed higher mRNA abundance, but this effect was attenuated at the proteome level, indicating post-transcriptional dosage compensation.
  • Widespread differences in gene expression efficiency were identified across regulatory steps.
  • Genes with altered translational efficiency were enriched for regulatory elements like upstream open reading frames and Ssd1-binding sites.
  • Genes with lower protein expression efficiency were enriched in protein complex components.

Conclusions:

  • Adaptive CNVs induce significant changes in gene expression across transcriptional, translational, and proteomic levels.
  • Post-transcriptional mechanisms play a crucial role in buffering the effects of CNV-driven gene amplification.
  • Genome evolution intricately shapes gene expression regulation, contributing to organismal adaptation.