Although inbreeding, on average, decreases additive genetic variance, some inbred populations may show an increase in phenotypic variance for some characters. In those populations with increased phenotypic variance, character changes by peak shifts may occur because of the effects of the higher variance on the adaptive landscape. A population's increased phenotypic variance may place it in the domain of attraction of a new adaptive peak or increase the likelihood of a selection-driven peak shift as the landscape of mean fitness flattens. The focus of this study was to test for increased variance, in inbred populations, in a behavioral character involved in adaptive diversification and probably speciation. We examined the effect of inbreeding on feeding responses of the leaf beetle Ophraella communa in a series of inbred lineages across a range of levels of inbreeding (f = 0.25, 0.375, 0.5). We measured the feeding response of inbred lineages of O. communa on its normal host, Ambrosia artemisiifolia, and on two novel plants, Chrysopsis villosa and Iva frutescens, that are the hosts of other Ophraella species. The results show that feeding responses on the different plants are not correlated, indicating that the feeding responses to the different plants are to some degree genetically independent. Despite apparent genetic variation in lineage feeding responses, we could not statistically demonstrate increases in phenotypic variance within the lineages. Thus, the experimental results do not support the idea that host shifts in this beetle evolved by peak shifts in bottlenecked populations.
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http://dx.doi.org/10.1111/j.1558-5646.1999.tb03791.x | DOI Listing |
Sci Rep
January 2025
The Department of General Surgery, Zhongshan City People's Hospital, Zhongshan, 528400, Guangdong Province, China.
Mendelian randomization (MR) was employed to investigate the causal relationships between immune cell phenotypes, hyperthyroidism (HD), and potential metabolic mediators. In this study, we acquired 731 immune cell phenotypes from genome-wide association studies (GWAS) (n = 18,622), HD data from the research by Handan Melike Dönertaş et al. (3,731 cases, 480,867 controls), and aggregated statistics of 1,400 blood metabolites from UK Biobank (n = 115,078).
View Article and Find Full Text PDFSci Rep
January 2025
Plant Science Research Unit, USDA-ARS, St. Paul, MN, USA.
Plant genebanks contain large numbers of germplasm accessions that likely harbor useful alleles or genes absent in commercial plant breeding programs. Broadening the genetic base of commercial alfalfa germplasm with these valuable genetic variations can be achieved by screening the extensive genetic diversity in germplasm collections and enabling maximal recombination among selected genotypes. In this study, we assessed the genetic diversity and differentiation of germplasm pools selected in northern U.
View Article and Find Full Text PDFPlant Genome
March 2025
INRAE, CNRS, AgroParisTech, GQE-Le Moulon, Université Paris-Saclay, Gif-sur-Yvette, France.
Classical genomic prediction approaches rely on statistical associations between traits and markers rather than their biological significance. Biologically informed selection of genomic regions can help prioritize polymorphisms by considering underlying biological processes, making prediction models robust and accurate. Gene ontology (GO) terms can be used for this purpose, and the information can be integrated into genomic prediction models through marker categorization.
View Article and Find Full Text PDFTheor Appl Genet
January 2025
Institute of Wheat Research, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province) Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Linfen, China.
Total 60-QRC for FLM traits were detected by meta-genomics analysis, nine major and stable QTL identified by DH population and validated, and a novel QTL Qflw.sxau-6BL was fine mapped. The flag leaf is an "ideotypic" morphological trait providing photosynthetic assimilates in wheat.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
School of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Objective: The role of immune cells in type 1 diabetes (T1D) is unclear. The aim of this study was to assess the causal effect of different immune cells on T1D using Mendelian randomization (MR).
Methods: A dataset of immune cell phenotypes (numbered from GCST0001391 to GCST0002121) was obtained from the European Bioinformatics Institute, while a T1D dataset (numbered finngen_R10_T1D) was obtained from FinnGen.
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