Daniel G. Peterson

This study examines genetic diversity and population structure of wild and introgressed Gossypium hirsutum in Puerto Rico and Guadeloupe, revealing patterns of genetic variation and inbreeding.

This study uses population genomics to assess genetic diversity and structure in three critically endangered Kokia species in Hawaii, informing conservation strategies.

This study assesses genetic diversity and population structure of Atlantic bottlenose dolphins in Mississippi Sound using whole mitogenomes from stranded animals, identifying four distinct populations.

This study presents a high-resolution transcriptomic analysis of cotton fiber development, identifying key gene expression shifts and regulatory networks during secondary wall synthesis.

The paper provides genome assemblies for three extant Kokia species, revealing genetic diversity and divergence patterns in the Hawaiian Islands endemic genus.

The paper presents a high-quality chromosome-level genome assembly for rohu carp and uses it to explore gene flow and sex determination through SNP analysis.

The paper introduces an improved ddRAD-Seq protocol that enhances SNP identification efficiency and reduces time, validated against whole genome resequencing data.

The paper sequenced and analyzed the G. herbaceum cv Wagad genome to study domestication changes and gene expression in diploid cotton.

The paper presents a high-quality genome assembly of Gossypium anomalum and identifies genomic regions associated with hybrid lethality using synthetic allopolyploids.

The paper presents a high-quality genome sequence for Gossypium stocksii and compares it with G. somalense to explore pest resistance in cotton.

The paper tracks structural mutations in rice over a century of breeding, showing exonic mutations are removed more rapidly than other mutation types during selection.

The paper presents a high-quality genome assembly of Gossypium longicalyx to study reniform nematode immunity and fiber evolution in cotton.

The paper evaluates bioinformatic methods for quantifying homoeologous gene expression in polyploids using cotton transcriptomic data, finding that GSNAP-PolyCat provides the most accurate results and highlights methodological impacts on co-expression network analysis.

PAST provides an efficient, user-friendly tool for pathway analysis of GWAS data, completing analyses in under an hour with results comparable to previous methods.