Biology subjects

Pearman, W.

Publications and source records attributed to Pearman, W..

3 recordsLinked to original sources

bioRxiv2025

Recovering historical fish eDNA from museum-preserved Antarctic filter feeders via non-destructive metabarcoding.

O_LIRecent technical advances have significantly enhanced the value of museum specimens for molecular research, with metagenomic and metabarcoding approaches expanding further the utility of museum collections. However, given the finite number of specimens, there is a critical need to move past destructive DNA extraction approaches and to explore non-destructive techniques. C_LIO_LIIn this study, we evaluated the feasibility of extracting historical fish eDNA from the ethanol preservative used to store Antarctic museum specimens. We compared a variety of extraction methods - centrifugation, evaporation, filtration, and precipitation - using ten replicate samples per treatment for statistical analyses. To assess potential differences in preservative-derived eDNA recovery across different filter-feeding taxonomic groups, we included a Bryozoa and two Porifera, i.e., Demospongiae and Hexactinellida. C_LIO_LIComparative analyses with tissue biopsies revealed that the total genomic DNA was significantly reduced for non-destructive approaches. However, 10 ml ethanol filtration performed equal to, or in some instances, outperformed tissue biopsies when investigating the historical eDNA of Antarctic fish using a 16S rRNA metabarcoding approach, both for the number of species detected (-diversity) and community characterisation ({beta}-diversity). C_LIO_LIOur findings demonstrate the potential of ethanol preservative as a valuable, non-destructive source of historical fish eDNA from museum-stored filter-feeding specimens. These results highlight the viability of non-destructive sampling for molecular research on museum collections, preserving specimen integrity while enabling biodiversity assessments. Further refinement of non-destructive eDNA extraction could expand its applicability across taxa, collection types, and preservation methods, ensuring the long-term sustainability of museum-based genomic research. C_LI

ecology↗

bioRxiv2019

The advantages and disadvantages of short- and long-read metagenomics to infer bacterial and eukaryotic community composition

BackgroundThe first step in understanding ecological community diversity and dynamics is quantifying community membership. An increasingly common method for doing so is through metagenomics. Because of the rapidly increasing popularity of this approach, a large number of computational tools and pipelines are available for analysing metagenomic data. However, the majority of these tools have been designed and benchmarked using highly accurate short read data (i.e. illumina), with few studies benchmarking classification accuracy for long error-prone reads (PacBio or Oxford Nanopore). In addition, few tools have been benchmarked for non-microbial communities.\n\nResultsHere we use simulated error prone Oxford Nanopore and high accuracy Illumina read sets to systematically investigate the effects of sequence length and taxon type on classification accuracy for metagenomic data from both microbial and non-microbial communities. We show that very generally, classification accuracy is far lower for non-microbial communities, even at low taxonomic resolution (e.g. family rather than genus).\n\nConclusionsWe then show that for two popular taxonomic classifiers, long error-prone reads can significantly increase classification accuracy, and this is most pronounced for non-microbial communities. This work provides insight on the expected accuracy for metagenomic analyses for different taxonomic groups, and establishes the point at which read length becomes more important than error rate for assigning the correct taxon.

bioinformatics↗

bioRxiv2018

New tools for diet analyses: nanopore sequencing of metagenomic DNA from stomach contents to quantify diet in an invasive population of rats

BackgroundUsing metagenomics to determine animal diet offers a new and promising alternative to current methods. Here we show that rapid and inexpensive diet quantification is possible through metagenomic sequencing with the portable Oxford Nanopore Technologies (ONT) MinION. Using an amplification-free approach, we profiled the stomach contents from wild-caught rats. ResultsWe conservatively identified diet items from over 50 taxonomic orders, ranging across nine phyla that include plants, vertebrates, invertebrates, and fungi. This highlights the wide range of taxa that can be identified using this simple approach. We calibrate the accuracy of this method by comparing the characteristics of reads matching the ground-truth host genome (rat) to those matching diet items, and show that at the family-level, false positive taxon assignments are approximately 97.5% accurate. We also suggest a way to mitigate for database biases in metagenomic approaches. Finally, we implement a constrained ordination analysis and show that we can identify the sampling location of an individual rat within tens of kilometres based on diet content alone. ConclusionsThis work establishes proof-of-principle for long-read metagenomic methods in quantitative diet analysis. We show that diet content can be quantified even with limited expertise, using a simple, amplification free workflow and a relatively inexpensive and accessible next generation sequencing method. Continued increases in the accuracy and throughput of ONT sequencing, along with improved genomic databases, suggests that a metagenomic approach to quantification of animal diets will become an important method in the future.

ecology↗