Genetic Mapping and Diversity in Plants and Animals

The paper fine-maps a QTL for gonadal adipose depot weight in mice using congenic strains, revealing at least four distinct loci within the original QTL region.

This study compares additive and non-additive GWAS models to identify genomic regions controlling flowering time in sunflower hybrids, finding non-additive models better detect trait-associated loci.

The paper shows that inter-chromosomal epistasis significantly influences glucose homeostasis and gene expression in mice, often overriding additive genetic effects.

The paper examines gene expression changes in maize and teosinte under past and present environmental conditions to explore the role of genetic assimilation in maize domestication.

The paper generates high-resolution genetic maps of mouse inbred strains and identifies genetic variations and gene conversions.

The paper identifies eQTLs in C. elegans that modulate Ras/MAPK signaling, revealing genetic modifiers that are not detectable in single genetic backgrounds.

The paper models epistatic networks in Diversity Outbred mice linking genetic variation, gene expression, and phenotypes related to metabolic disease and diet.

This study maps flowering time loci in Mimulus guttatus across space and time, finding significant genetic variation and genotype-by-environment interactions.

The paper investigates the genetic architecture of gene expression variation in Populus tremula, finding that eQTLs are more common in regulatory regions and that network connectivity correlates with selective constraint.

The paper uses genomic data and written records to validate domestication events in Brassica rapa, finding support for specific genetic groups and domestication timelines.

MapDisto 2.0 constructs genetic linkage maps with features for handling large datasets, VCF import, linkage detection, data imputation, and QTL analysis.

The paper constructs a high-density cranberry composite map using GBS and SSRs to enable molecular-assisted breeding and genomic studies.

The paper identifies eQTL and trans regulatory hotspots in threespine stickleback liver tissue, showing complex transcription factor interactions and some links to salinity tolerance.