Genes that affect adaptive traits have been identified, but our knowledge of the genetic basis of adaptation in a more general sense (across multiple traits) remains limited. We combined population-genomic analyses of evolve-and-resequence experiments, genome-wide association mapping of performance traits, and analyses of gene expression to fill this knowledge gap and shed light on the genomics of adaptation to a marginal host (lentil) by the seed beetle . Using population-genomic approaches, we detected modest parallelism in allele frequency change across replicate lines during adaptation to lentil. Mapping populations derived from each lentil-adapted line revealed a polygenic basis for two host-specific performance traits (weight and development time), which had low to modest heritabilities. We found less evidence of parallelism in genotype-phenotype associations across these lines than in allele frequency changes during the experiments. Differential gene expression caused by differences in recent evolutionary history exceeded that caused by immediate rearing host. Together, the three genomic datasets suggest that genes affecting traits other than weight and development time are likely to be the main causes of parallel evolution and that detoxification genes (especially cytochrome P450s and beta-glucosidase) could be especially important for colonization of lentil by .
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http://dx.doi.org/10.3390/genes11040400 | DOI Listing |
Bioinformatics
January 2025
Bioinformatics Lab, Advanced Research Institute for Informatics, Computing and Networking, De La Salle University, Manila, 1004, Philippines.
Motivation: Recent computational approaches for predicting phage-host interaction have explored the use of sequence-only protein language models to produce embeddings of phage proteins without manual feature engineering. However, these embeddings do not directly capture protein structure information and structure-informed signals related to host specificity.
Results: We present PHIStruct, a multilayer perceptron that takes in structure-aware embeddings of receptor-binding proteins, generated via the structure-aware protein language model SaProt, and then predicts the host from among the ESKAPEE genera.
Int J Parasitol Parasites Wildl
April 2025
Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, 541199, PR China.
To investigate the infection of fish of the genus by (Monogenea) parasites in the karst region of Yunnan (Southwest China), individuals were obtained from the rare and vulnerable host black loach . Based on morphology and partial internal transcribed spacer (ITS) sequence data, we identified and described a new species n. sp.
View Article and Find Full Text PDFCommun Stat Theory Methods
March 2024
Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, 53226, Wisconsin,USA.
Competing risks data in clinical trial or observational studies often suffer from cluster effects such as center effects and matched pairs design. The proportional subdistribution hazards (PSH) model is one of the most widely used methods for competing risks data analyses. However, the current literature on the PSH model for clustered competing risks data is limited to covariate-independent censoring and the unstratified model.
View Article and Find Full Text PDFOphthalmol Sci
November 2024
Department of Ophthalmology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Purpose: Autologous retinal transplantation has been successfully employed in the treatment of large and myopic macular holes that are refractory to standard surgical treatments. Patients transplanted with a peripheral neurosensory retinal graft have shown unexpected improvements in visual acuity. The study aims to investigate if neural integration of the graft takes place in a porcine model of retinal hole.
View Article and Find Full Text PDFPlant Dis
December 2024
Korea University, Environmental Science & Ecological Engineering, Seoul, Seoul, Korea (the Republic of), 02841;
Cerastium glomeratum Thuill., known as sticky mouse-ear chickweed, is native to Europe and has become naturalized in the wild on most continents. After its accidental introduction to Korea around the 1980s, it quickly became one of the dominant invasive weeds on the Korean peninsula and is now considered a significant threat to the Korean agroecosystem (Park et al.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!