Population genomic structure of the gelatinous zooplankton species Mnemiopsis leidyi in its nonindigenous range in the North Sea [PDF]
Nonindigenous species pose a major threat for coastal and estuarine ecosystems. Risk management requires genetic information to establish appropriate management units and infer introduction and dispersal routes. We investigated one of the most successful
Derycke, Sofie +8 more
core +1 more source
Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum. [PDF]
The ability to connect genetic information between traits over time allow Bayesian networks to offer a powerful probabilistic framework to construct genomic prediction models. In this study, we phenotyped a diversity panel of 869 biomass sorghum (Sorghum
Brown, Patrick J +8 more
core +2 more sources
Deciphering the genetic basis underlying agronomic traits is of importance for soybean improvement. However, covariation, modulated by genetic correlations between complicated traits via hub QTLs, commonly affects the efficiency and accuracy of soybean ...
Mengmeng Fu +8 more
doaj +1 more source
Wheat rusts never sleep but neither do sequencers: will pathogenomics transform the way plant diseases are managed? [PDF]
Field pathogenomics adds highly informative data to surveillance surveys by enabling rapid evaluation of pathogen variability, population structure and host ...
Derevnina, Lida, Michelmore, Richard W
core +2 more sources
Genome-wide association study in two cohorts from a multi-generational mouse advanced intercross line highlights the difficulty of replication due to study-specific heterogeneity [PDF]
There has been extensive discussion of the Replication Crisis in many fields, including genome-wide association studies
Cheng, Riyan +7 more
core +2 more sources
Using genotyping‐by‐sequencing to predict gender in animals [PDF]
SummaryGender assignment errors are common in some animal species and lead to inaccuracies in downstream analyses. Procedures for detecting gender misassignment are available for array‐based SNP data but are still being developed for genotyping‐by‐sequencing (GBS) data.
T. P. Bilton +6 more
openaire +2 more sources
Analysis of Genotyping-by-Sequencing (GBS) Data
The development of genotyping-by-sequencing (GBS) to rapidly detect nucleotide variation at the whole genome level, in many individuals simultaneously, has provided a transformative genetic profiling technique. GBS can be carried out in species with or without reference genome sequences yields huge amounts of potentially informative data.
Kagale, Sateesh +5 more
openaire +4 more sources
Haplotype‐based genotyping‐by‐sequencing in oat genome research [PDF]
SummaryIn a de novo genotyping‐by‐sequencing (GBS) analysis of short, 64‐base tag‐level haplotypes in 4657 accessions of cultivated oat, we discovered 164741 tag‐level (TL) genetic variants containing 241224 SNPs. From this, the marker density of an oat consensus map was increased by the addition of more than 70000 loci.
Wubishet A. Bekele +4 more
openaire +2 more sources
The development of a porcine 50K SNP panel using genotyping by target sequencing and its application
Genotyping by target sequencing (GBTS) integrates the advantages of silicon-based technology (high stability and reliability) and genotyping by sequencing (high flexibility and cost-effectiveness). However, GBTS panels are not currently available in pigs.
Zipeng Zhang +9 more
doaj +1 more source
Population genetic structure in the marine environment can be influenced by life‐history traits such as developmental mode (biphasic, with distinct adult and larval morphology, and direct development, in which larvae resemble adults) or habitat ...
William S. Pearman +4 more
doaj +1 more source

