Biology subjects

Thrash, A.

Publications and source records attributed to Thrash, A..

4 recordsLinked to original sources

bioRxiv2024

Genomic diversity and evolution in the Hawaiian Islands endemic Kokia (Malvaceae)

Island species are highly vulnerable due to habitat destruction and their often small population sizes with reduced genetic diversity. The Hawaiian Islands constitute the most isolated archipelago on the planet, harboring many endemic species. Kokia is an endangered flowering plant genus endemic to these islands, encompassing three extant and one extinct species. Recent studies provided evidence of unexpected genetic diversity within Kokia. Here, we provide high quality genome assemblies for all three extant Kokia species, including an improved genome for K. drynarioides. All three Kokia genomes contain 12 chromosomes exhibiting high synteny within and between Kokia and the sister taxon Gossypioides kirkii. Gene content analysis revealed a net loss of genes in K. cookei compared to other species, whereas the gene complement in K. drynarioides remains stable and that of K. kauaiensis displays a net gain. A dated phylogeny estimates the divergence time from the last common ancestor for the three Kokia species at [~]1.2 million years ago (mya), with the sister taxa [K. cookei + K. drynarioides] diverging [~]0.8 mya. Kokia appears to have followed a stepping-stone pattern of colonization and diversification of the Hawaiian Archipelago, likely starting on low or now submerged older islands. The genetic resources provided may benefit conservation efforts of this endangered endemic genus.

genomics↗

bioRxiv2022

A high-quality chromosome-level genome assembly of rohu carp, Labeo rohita, and its utilization in SNP-based exploration of gene flow and sex determination

Labeo rohita (rohu) is a carp important to aquaculture in South Asia, with a production volume close to Atlantic salmon. While genetic improvements to rohu are ongoing, the genomic methods commonly used in other aquaculture improvement programs have historically been precluded in rohu, partially due to the lack of a high quality reference genome. Here we present a high-quality de novo genome produced using a combination of next-generation sequencing technologies, resulting in a 946 Mb genome consisting of 25 chromosomes and 2,844 unplaced scaffolds. Notably, while approximately half the size of the existing genome sequence, our genome represents 97.9% of the genome size newly estimated here using flow cytometry. Sequencing from 120 individuals was used in conjunction with this genome to predict the population structure, diversity, and divergence in three major rivers (Jamuna, Padma, and Halda), in addition to infer a likely sex determination mechanism in rohu. These results demonstrate the utility of the new rohu genome in modernizing some aspects of rohu genetic improvement programs.

genomics↗

bioRxiv2021

Dual domestication, diversity, and differential introgression in Old World cotton diploids

Domestication in the cotton genus is remarkable in that it has occurred independently four different times at two different ploidy levels. Relatively little is known about genome evolution and domestication in the cultivated diploid species Gossypium herbaceum and G. arboreum, because of the absence of wild representatives for the latter species, their ancient domestication, and their joint history of human-mediated dispersal and interspecific gene flow. Using in-depth resequencing of a broad sampling from both species, we confirm their independent domestication, as opposed to a progenitor-derivative relationship, showing that diversity (mean {pi} = 2.3x10-3) within species is similar, and that divergence between species is modest (weighted FST=0.4430). Individual accessions were homozygous for ancestral SNPs at over half of variable sites, while fixed, derived sites were at modest frequencies. Notably, two chromosomes with a paucity of fixed, derived sites (i.e., chromosomes 7 and 10) were also strongly implicated in introgression analyses. Collectively, these data demonstrate variable permeability to introgression among chromosomes, which we propose is due to divergent selection under domestication and/or the phenomenon of F2 breakdown in interspecific crosses. Our analyses provide insight into the evolutionary forces influencing diversity and divergence in the diploid cultivated species, and establish a foundation for understanding the contribution of introgression and/or strong parallel selection to the extensive morphological similarities shared between species. Significance statementThe cotton genus (Gossypium) contains four different species that were independently domesticated at least 4,000 years ago. Relatively little is understood about diversity and evolution in the two diploid African-Asian sister-species G. herbaceum and G. arboreum, despite their historical importance in the region and contemporary cultivation, largely in the Indian subcontinent. Here we address questions regarding the relationship between the two species, their contemporary levels of diversity, and their patterns of interspecific gene flow accompanying their several millennia history of human-mediated dispersal and contact. We validate independent domestication of the two species and document the genomic distribution of interspecific genetic exchange.

evolutionary biology↗

bioRxiv2019

PAST: Pathway Association Studies Tool

BackgroundIn recent years, a bioinformatics method for interpreting GWAS data using metabolic pathway analysis has been developed and successfully used to find significant pathways and mechanisms explaining phenotypic traits of interest in plants. However, the many scripts implementing this method were not straightforward to use, had to be customized for each project, required user supervision, and took more than 24 hours to process data. PAST (Pathway Association Study Tool), a new implementation of this method, has been developed to address these concerns.\n\nResultsPAST is implemented as a package for the R language. Two user-interfaces are provided; PAST can be run by loading the package in R and calling its methods, or by using an R Shiny guided user interface. In testing, PAST completed analyses in approximately one hour by processing data in parallel. PAST has many user-specified options for maximum customization. PAST produces the same results as the previously developed method.\n\nConclusionsIn order to promote a powerful new method of pathway analysis that interprets GWAS data to find biological mechanisms associated with traits of interest, we developed a more accessible and user friendly tool. This tool is more efficient and requires less knowledge of programming languages to use than previous methods. Moreover, it produces similar results in significantly less time. These attributes make PAST accessible to researchers interested in associating metabolic pathways with GWAS datasets to better understand the genetic architecture and mechanisms affecting phenotype.

bioinformatics↗