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KaKs_Calculator 3.0: Calculating Selective Pressure on Coding and Non-coding Sequences.

Zhang Zhang1

  • 1National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Genomics, Proteomics & Bioinformatics
|January 6, 2022
PubMed
Summary
This summary is machine-generated.

KaKs_Calculator 3.0 quantifies natural selection on coding and non-coding DNA sequences. This updated toolkit helps detect selection strength and identify functional elements across genomes.

Keywords:
CodingKaKs_CalculatorNon-codingSelective pressureSubstitution

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Area of Science:

  • Bioinformatics
  • Molecular Evolution
  • Genomics

Background:

  • Selective pressure drives molecular evolution, influencing both coding and non-coding DNA.
  • Quantifying selection on non-coding regions is challenging but crucial for understanding genome function.
  • Existing tools primarily focus on coding sequences, leaving a gap in non-coding sequence analysis.

Purpose of the Study:

  • To introduce KaKs_Calculator 3.0, an enhanced toolkit for calculating selective pressure.
  • To enable the quantification of selection on both coding and non-coding DNA sequences.
  • To facilitate genome-wide scans for natural selection and identification of functional elements.

Main Methods:

  • KaKs_Calculator 3.0 calculates the ratio of non-coding nucleotide substitution rate to the synonymous substitution rate of adjacent coding sequences.
  • The tool extends the nonsynonymous/synonymous substitution rate ratio concept to non-coding DNA.
  • Empirical data was used to validate the effectiveness of the calculations.

Main Results:

  • KaKs_Calculator 3.0 effectively quantifies the strength and mode of selection on molecular sequences.
  • The toolkit demonstrates accuracy in analyzing both coding and non-coding DNA.
  • Validation on empirical data confirms its reliability.

Conclusions:

  • KaKs_Calculator 3.0 is a valuable tool for analyzing natural selection across diverse DNA sequences.
  • It offers significant potential for genome-wide studies of selection and functional element identification.
  • The updated toolkit enhances our ability to understand evolutionary processes at the genomic scale.