Biology subjects

Rees, E. R.

Publications and source records attributed to Rees, E. R..

7 recordsLinked to original sources

bioRxiv2025

Identification of Freezing Tolerance QTLs in Tripsacum dactyloides Using Open-Pollinated Bulk Segregant Analysis

This study investigates the genetic basis of freezing tolerance in Tripsacum dactyloides and related subspecies as a potential source of valuable traits for improving maize agriculture. Recognizing the significant economic losses in corn yields due to frost damage, we hypothesized that northern populations of T. dactyloides are enriched for freezing tolerance alleles. 40 diverse Tripsacum accessions were collected from natural populations and long-established field collections and used to generate F1 hybrids and open-pollinated F2 families. F2 seedlings were germinated then screened within a growth chamber for freezing tolerance by exposure to freezing temperatures. Seedlings were then phenotyped by tissue survival, and extremes were pooled to create tolerant and susceptible bulks. DNA sequencing was performed on founders, F1s, and tolerant/susceptible F2 bulks. To overcome challenges in traditional SNP calling in bulked samples, we developed a regression-based approach to estimate gamete frequencies and impute allele frequencies in pooled populations. The results showed genetic diversity among Tripsacum accessions, with divergence between northern and southern populations. We tracked segregation of alleles across genomic loci, and performed a joint bulk segregant analysis, identifying 9 QTLs significantly associated with freezing tolerance. These findings highlight potential loci for freezing tolerance that could inform genetic engineering of maize. Central HypothesisNorthern populations of Tripsacum dactyloides, a wild relative of maize, are enriched for freezing tolerance alleles which can be identified by mapping.

genomics↗

bioRxiv2023

Autometa 2: A versatile tool for recovering genomes from highly-complex metagenomic communities

In 2019, we developed Autometa, an automated binning pipeline that is able to effectively recover metagenome-assembled genomes from complex environmental and non-model host-associated microbial communities. Autometa has gained widespread use in a variety of environments and has been applied in multiple research projects. However, the genome-binning workflow was at times overly complex and computationally demanding. As a consequence of Autometas diverse application, non-technical and technical researchers alike have noted its burdensome installation and inefficient as well as error-prone processes. Moreover its taxon-binning and genome-binning behaviors have remained obscure. For these reasons we set out to improve its accessibility, efficiency and efficacy to further enable the research community during their exploration of Earths environments. The highly augmented Autometa 2 release, which we present here, has vastly simplified installation, a graphical user interface and a refactored workflow for transparency and reproducibility. Furthermore, we conducted a parameter sweep on standardized community datasets to show that it is possible for Autometa to achieve better performance than any other binning pipeline, as judged by Adjusted Rand Index. Improvements in Autometa 2 enhance its accessibility for non-bioinformatic oriented researchers, scalability for large-scale and highly-complex samples and interpretation of recovered microbial communities. Graphical abstractAutometa: An automated taxon binning and genome binning workflow for single sample resolution of metagenomic communities.

bioinformatics↗

bioRxiv2023

Automappa: An interactive interface for metagenome-derived genome bins

BackgroundStudies attempting to observe microbes commonly considered uncultivable under standard laboratory conditions are turning to so-called "deep" environmental sequencing approaches whereby they may access these unculturable organisms genomes via in silico approaches. A typical workflow involves metagenome assembly, annotation, and binning for reconstruction of each respective organisms genome (or metagenome-assembled genome, MAG). Many automated genome binning approaches have been developed and have displayed a wide range of variation in performance. Therefore, refinement methods have been developed in order to aid manual curation following the automated genome binning process. Current manual curation tools were developed with a focus towards teaching metagenomics concepts and may fail when handling complex datasets containing many microbes. Automappa was developed with a focus on overlaying a variety of annotations such as taxonomy, coverage and marker-gene prevalence while maintaining an implementation that may scale to the complexity of environmental samples. ResultsWe present Automappa, a companion tool and interactive interface for exploration and refinement of Autometa taxon and genome binning results from metagenomes. Selections provide real-time updates of MAG metrics to aid manual curation. Furthermore, researchers may detect unbinned MAGs as well as manually improve their draft-quality MAGs with contigs that closely match the MAGs genome characteristics. Automappas utility has previously been demonstrated on host-associated, marine and terrestrial systems with a total of 242 curated MAGs across fourteen published metagenomes. Of these refined MAGs, the number of high-quality and medium-quality bins increased, consequently lowering the number of low-quality bins and decreasing the amount of data discarded from downstream analyses. The recovery of higher quality MAGs improved the confidence in results and strengthened the resultant conclusions of these respective studies. Automappa consists of three tabs, one for uploading a users metagenome data, another for exploration and refinement and the last for providing an overall summary of the refined MAG results. ConclusionsAutomappa is an open source software package that allows researchers to easily assess and refine undetected or draft-quality MAGs from their respective metagenomes. It is freely available under the GPLv3 license at https://github.com/WiscEvan/Automappa and through Figshare (doi: 10.6084/m9.figshare.22593235).

bioinformatics↗

bioRxiv2023

Elevated Expression of srp RiPPs Across Bacterial Phyla in Marine Sponges

We investigated transcriptional activity, at a genome-resolved level, of bacterial communities in two S. officinalis and two I. felix sponges, both of which are considered high microbial abundance (HMA) sponges that harbor similar bacterial communities. Overlap of metatranscriptional data on genome-resolved metagenomic data showed that genome bins classified within the Chloroflexota and Poribacteria phyla were the most abundant and transcriptionally active. However, abundant bins in general were not the most transcriptionally active, instead less abundant bins of the same phyla were most active indicating that numerical dominance does not imply transcriptional dominance. We found that although some primary metabolic functions appeared upregulated, they were not obviously attributable to any particular bacterial species. However, assessment of transcription levels of biosynthetic gene clusters (BGCs) encoding secondary metabolites revealed a high transcription of ribosomally synthesized and post-translationally modified peptides (RiPPs) in genome bins across diverse bacterial phyla, most of which were likely srp RiPPs encoding brominated azol(in)e-containing compounds. However, the ecological role of these compounds remains elusive. IMPORTANCEMarine sponges and bacteria have formed close associations over several million years with many bacteria performing specialized functions within their sponge host. Previous studies have either assessed the genomes of a given sponge or the expression profile for a sponge holobiont as a whole. Here, we present the first genome-resolved transcriptomic study which gives us a snapshot of the transcriptional activity of individual bacteria in the context of four different sponge holobionts. Using this approach we found that the numerically dominant bacteria were not the most transcriptionally active and that relatively high expression of a ubiquitous biosynthetic gene cluster was evident in many different bacterial phyla in all four sponge samples.

ecology↗

bioRxiv2019

Metabolic specializations within a bacterial community to create living rocks

Stromatolites are complex microbial mats that form lithified layers and ancient forms are the oldest evidence of life on earth, dating back over 3.4 billion years. Modern stromatolites are relatively rare but may provide clues about the function and evolution of their ancient counterparts. In this study, we focus on peritidal stromatolites occurring at Cape Recife and Schoenmakerskop on the southeastern South African coastline. Using assembled shotgun metagenomic data we obtained 183 genomic bins, of which the most dominant taxa were from the Cyanobacteriia class (Cyanobacteria phylum), with lower but notable abundances of bacteria classified as Alphaproteobacteria, Gammaproteobacteria and Bacteroidia. We identified functional gene sets in bacterial species conserved across two geographically distinct stromatolite formations, which may promote carbonate precipitation through the reduction of nitrogenous compounds and possible production of calcium ions. We propose that an abundance of extracellular alkaline phosphatases may lead to the formation of phosphatic deposits within these stromatolites. We conclude that the cumulative effect of several conserved bacterial species drives accretion in these two stromatolite formations. ORIGINALITY-SIGNIFICANCEPeritidal stromatolites are unique among stromatolite formations as they grow at the dynamic interface of calcium carbonate-rich groundwater and coastal marine waters. The peritidal space forms a relatively unstable environment and the factors that influence the growth of these peritidal structures is not well understood. To our knowledge, this is the first comparative study that assesses species conservation within the microbial communities of two geographically distinct peritidal stromatolite formations. We assessed the potential functional roles of these communities using genomic bins clustered from metagenomic sequencing data. We identified several conserved bacterial species across the two sites and hypothesize that their genetic functional potential may be important in the formation of pertidal stromatolites. We contrasted these findings against a well-studied site in Shark Bay, Australia and show that, unlike these hypersaline formations, archaea do not play a major role in peritidal stromatolite formation. Furthermore, bacterial nitrogen and phosphate metabolisms of conserved species may be driving factors behind lithification in peritidal stromatolites.

microbiology↗

bioRxiv2019

Horizontal gene transfer to a defensive symbiont with a reduced genome amongst a multipartite beetle microbiome

The loss of functions required for independent life when living within a host gives rise to reduced genomes in obligate bacterial symbionts. Although this phenomenon can be explained by existing evolutionary models, its initiation is not well understood. Here, we describe the microbiome associated with eggs of the beetle Lagria villosa, containing multiple bacterial symbionts related to Burkholderia gladioli including a reduced-genome symbiont thought to produce the defensive compound lagriamide. We find that the putative lagriamide producer is the only symbiont undergoing genome reduction, and that it has already lost most primary metabolism and DNA repair pathways. The horizontal acquisition of the lagriamide biosynthetic gene cluster likely preceded genome reduction, and unexpectedly we found that the symbiont accepted additional genes horizontally during genome reduction, even though it lacks the capacity for homologous recombination. These horizontal gene transfers suggest that absolute genetic isolation is not a requirement for genome reduction.

evolutionary biology↗

bioRxiv2018

Autometa: Automated extraction of microbial genomes from individual shotgun metagenomes

MotivationShotgun metagenomics is a powerful, high-resolution technique enabling the study of microbial communities in situ. However, species-level resolution is only achieved after a process of \"binning\" where contigs predicted to originate from the same genome are clustered. Such culture-independent sequencing frequently unearths novel microbes, and so various methods have been devised for reference-free binning. Existing methods, however, suffer from: (1) reliance on human pattern recognition, which is inherently unscalable; (2) requirement for multiple co-assembled metagenomes, which degrades assembly quality due to strain variance; and (3) assumption of prior host genome removal not feasible for non-model hosts. We therefore devised a fully-automated pipeline, termed \"Autometa,\" to address these issues. Results: Autometa implements a method for taxonomic partitioning of contigs based on predicted protein homology, and this was shown to vastly improve binning in host-associated and complex metagenomes. Autometas method of automated clustering, based on Barnes-Hut Stochastic Neighbor Embedding (BH-tSNE) and DBSCAN, was shown to be highly scalable, outperforming other binning pipelines in complex simulated datasets.\n\nAvailability and implementationAutometa is freely available at https://bitbucket.org/jasonckwan/autometa and as a docker image at https://hub.docker.com/r/jasonkwan/autometa under the GNU Affero General Public License 3 (AGPL 3).\n\nContactjason.kwan@wisc.edu\n\nSupplementary informationSupplementary data are available attached to this article at https://biorxiv.org

bioinformatics↗