生物
生殖系
基因
遗传学
体细胞
进化生物学
基因敲除
表型
后代
RNA干扰
转录组
遗传力
遗传变异
性冲突
实验进化
表现力
选择(遗传算法)
交配
生育率
性别选择
种系突变
RNA序列
基因表达谱
性别特征
候选基因
基因表达
作者
Shengqian Xia,Deanna Arsala,Andrea Gschwend,William Koval,Jared Atlas,Shuaibo Han,Jianhai Chen,Laura Faulere,Muzi Li,Joseph R. Mihaljevic,Daniel J. Sanchez,G. Yu,Natalia Tamarina,Nicholas VanKuren,Stefano Allesina,Manyuan Long
标识
DOI:10.1038/s41559-026-03065-7
摘要
Functional innovation is conventionally viewed as a consequence of natural selection for environmental adaptation. However, impacts of other evolutionary forces, including genetic conflicts, have not been explored through direct manipulations of individual genes when assessing overall genetic basis of fitness. Here we conducted a comprehensive RNA interference screen targeting 125 young and old genes in somatic and germline tissues of male and female Drosophila melanogaster, plus CRISPR knockouts of some genes. We analysed sex-specific adult fitness effects, fertility phenotypes of central importance in evolution, in a total of 732,710 adult offspring scored from over 15,000 repeated knockdown crosses and controls. Bayesian statistical analysis of the fitness data revealed that 62.6% of the young and old genes that underwent somatic knockdowns reveal remarkable intralocus sexual conflict with the vast majority being male advantageous and female detrimental, as knockdowns are male detrimental and female beneficial. Germline knockdowns detected a majority of genes with adaptive sexual concordance and over a quarter of genes under sexual antagonism mostly female advantageous and male detrimental. We also detected 36.7% of young genes that have strong effects in both germline and soma exhibit tissue conflicts within sex although female effects are stronger. These analyses of sex-specific distributions of fitness effects reveal a prevalent role for antagonistic selection between sexes and tissues, while finding no association between chromosomal locations and sexually antagonistic genes, nor with sex-biased expression and gene age.
科研通智能强力驱动
Strongly Powered by AbleSci AI