Selection may reduce the deleterious consequences of inbreeding. This may be due to purging of recessive deleterious alleles or balancing selection favouring heterozygote offspring. Such selection is expected to be more efficient at slower compared to at faster rates of inbreeding. In this study we tested the impact of inbreeding and the rate of inbreeding on fitness related traits (egg productivity, egg-to-adult viability, developmental time and behaviour) under cold and benign semi-natural thermal conditions using Drosophila melanogaster as a model organism. We used non-inbred control and slow and fast inbred lines (both with an expected inbreeding level of 0.25). The results show that contrary to expectations the slow inbred lines do not maintain higher average fitness than the fast inbred lines. Furthermore, we found that stressful environmental conditions increased the level of inbreeding depression but the impact of inbreeding rate on the level of inbreeding depression was not affected by the environmental conditions. The results do not support the hypothesis that inbreeding depression is less severe with slow compared to fast rates of inbreeding and illustrate that although selection may be more efficient with slower rates of inbreeding this does not necessary lead to less inbreeding depression.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10709-011-9563-3 | DOI Listing |
J Sci Food Agric
January 2025
Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Huaxi University Town, Gui'an New District, China.
Background: Tartary buckwheat (Fagopyrum tartaricum) is particularly vulnerable to pre-harvest sprouting (PHS) due to its extended flowering and fruiting cycle, especially during periods of prolonged rainfall. This susceptibility has significant adverse effects on yield, quality and post-harvest processing. In this study, a recombinant inbred lines (RILs) population (XJ-RILs) was developed from a cross between the PHS-susceptible Tartary buckwheat variety 'Xiaomiqiao' (female parent) and the highly PHS-resistant variety 'Jinqiaomai 2' (male parent).
View Article and Find Full Text PDFPLoS One
January 2025
Graduate School of Science, Chiba University, Chiba, Japan.
Investigating the causes and consequences of niche partitioning in populations is a major goal in ecology and evolutionary biology. Previous studies have investigated genetic and environmentally induced variation in resource utility and their ecological implications. However, few studies have explored variability (non-genetic, stochastic variation) as a factor contributing to variation in resource utility.
View Article and Find Full Text PDFGM Crops Food
December 2025
College of Agronomy, Jilin Agricultural University, Changchun, China.
Maize ( L.) is a widely grown food crop around the world. Drought stress seriously affects the growth and development process of plants and causes serious damage to maize yield.
View Article and Find Full Text PDFEpigenetics Chromatin
January 2025
Department of Maternal‑Fetal Biology, National Center for Child Health and Development, Tokyo, 157‑8535, Japan.
Background: DNA methylation plays a crucial role in mammalian development. While methylome changes acquired in the parental genomes are believed to be erased by epigenetic reprogramming, accumulating evidence suggests that methylome changes in sperm caused by environmental factors are involved in the disease phenotypes of the offspring. These findings imply that acquired sperm methylome changes are transferred to the embryo after epigenetic reprogramming.
View Article and Find Full Text PDFBioinformatics
January 2025
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, CB10 1SD, United Kingdom.
Summary: Linear mixed models are a commonly used statistical approach in genome-wide association studies when population structure is present. However, naive permutations of the phenotype to empirically estimate the null distribution of a statistic of interest are not appropriate in the presence of population structure or covariates. This is because the samples are not exchangeable with each other under the null hypothesis, and because permuting the phenotypes breaks the relationship among those and eventual covariates.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!