Using reciprocally retained gene families to detect whole-genome multiplications in plants

Although none of the reciprocally retained gene families is a perfect WGM marker on its own, we show that using an extended set of such families as input for birth-death and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>K</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:math> distribution modeling approaches leads to better WGM detection performance than using entire genomes. A pipeline to use reciprocally retained gene families for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>K</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:math> distribution-based WGM inference in angiosperms has been implemented in ksrates v2.0.

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Publication Details

Journal
Genome biology
Published
2026-03-17
DOI
https://doi.org/10.1186/s13059-026-04032-y
Primary Topic
Genomic variations and chromosomal abnormalities
Type
article
Field-Weighted Citation Impact
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article

Using reciprocally retained gene families to detect whole-genome multiplications in plants

Cecilia Sensalari, Steven Maere, Setareh Tasdighian
Genome biology
Genomic variations and chromosomal abnormalities
article

Using reciprocally retained gene families to detect whole-genome multiplications in plants

Cecilia Sensalari, Steven Maere, Setareh Tasdighian
article en

Abstract

Although none of the reciprocally retained gene families is a perfect WGM marker on its own, we show that using an extended set of such families as input for birth-death and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>K</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:math> distribution modeling approaches leads to better WGM detection performance than using entire genomes. A pipeline to use reciprocally retained gene families for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>K</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:math> distribution-based WGM inference in angiosperms has been implemented in ksrates v2.0.

Genome biology
Ghent University (BE), VIB-UGent Center for Plant Systems Biology (BE), VIB-UGent Center for Inflammation Research (BE)
Zero hunger
Openalex Percentile: Top 19%
Genomic variations and chromosomal abnormalities
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