Variation in inbreeding depression within and among <i>Caenorhabditis</i> species

Outbreeding populations harbor large numbers of recessive deleterious alleles that reduce the fitness of inbred individuals, and this inbreeding depression potentially shapes the evolution of mating systems, acting as a counterweight to the inherent selective advantage of self-fertilization. The population biological factors that influence inbreeding depression are numerous and often difficult to disentangle. We investigated the utility of obligately outcrossing Caenorhabditis nematodes as models for inbreeding depression. By systematically inbreeding lines from 10 populations and tracking line extinction, we found that inbreeding depression is universal but highly variable among species and populations. Inbreeding depression was detected across the life cycle, from mating to embryo production to embryonic viability and larval growth, and reciprocal crosses implicated female-biased effects. In most cases, the surviving inbred lines have dramatically reduced fitness, but the variance among inbred lines is substantial and compatible with the idea that inbreeding depression need not be an obstacle to the evolution of selfing in these worms. Populations of some species, including Caenorhabditis becei, exhibited modest inbreeding depression and could be tractable laboratory models for obligately outcrossing Caenorhabditis.

Authors

Institutions

Publication Details

Journal
G3 Genes Genomes Genetics
Published
2025-08-29
DOI
https://doi.org/10.1093/g3journal/jkaf200
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Variation in inbreeding depression within and among Caenorhabditis species

Maurizio Cattani, Max R. Bernstein, Taniya Kaur, Annalise B. Paaby et al.
G3 Genes Genomes Genetics
Evolution and Genetic Dynamics
article

Variation in inbreeding depression within and among Caenorhabditis species

Maurizio Cattani, Max R. Bernstein, Taniya Kaur, Annalise B. Paaby, Derin Çağlar, Matthew V. Rockman, Luke M. Noble, Audrey S. Chang
article en

Abstract

Outbreeding populations harbor large numbers of recessive deleterious alleles that reduce the fitness of inbred individuals, and this inbreeding depression potentially shapes the evolution of mating systems, acting as a counterweight to the inherent selective advantage of self-fertilization. The population biological factors that influence inbreeding depression are numerous and often difficult to disentangle. We investigated the utility of obligately outcrossing Caenorhabditis nematodes as models for inbreeding depression. By systematically inbreeding lines from 10 populations and tracking line extinction, we found that inbreeding depression is universal but highly variable among species and populations. Inbreeding depression was detected across the life cycle, from mating to embryo production to embryonic viability and larval growth, and reciprocal crosses implicated female-biased effects. In most cases, the surviving inbred lines have dramatically reduced fitness, but the variance among inbred lines is substantial and compatible with the idea that inbreeding depression need not be an obstacle to the evolution of selfing in these worms. Populations of some species, including Caenorhabditis becei, exhibited modest inbreeding depression and could be tractable laboratory models for obligately outcrossing Caenorhabditis.

G3 Genes Genomes GeneticsVol. 15(12)
Georgia Institute of Technology (US), Glasgow Victoria Infirmary (GB), Science Gallery International (IE), National Institute on Aging (US), Camber Collective (United States) (US), New York Genome Center (US), Merck Specialities Pvt. Ltd. (India) (IN)
Openalex Percentile: Top 75%
Evolution and Genetic Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.