Biology subjects

Llewellyn, M. S.

Publications and source records attributed to Llewellyn, M. S..

3 recordsLinked to original sources

bioRxiv2018

Parallel sexual and parasexual population genomic structure in Trypanosoma cruzi

Genetic exchange and hybridization in parasitic organisms is fundamental to the exploitation of new hosts and host populations. Variable mating frequency often coincides with strong metapopulation structure, where patchy selection or demography may favor different reproductive modes. Evidence for genetic exchange in Trypanosoma cruzi over the last 30 years has been limited and inconclusive. The reproductive modes of other medically important trypanosomatids are better established, although little is known about their variability on a spatio-temporal scale. Targeting a contemporary focus of T. cruzi transmission in southern Ecuador, we present compelling evidence from 45 sequenced genomes that T. cruzi (discrete typing unit I) maintains sexual populations alongside others that represent clonal bursts of parasexual origin. Strains from one site exhibit genome-wide Hardy-Weinberg equilibrium and intra-chromosomal linkage decay consistent with meiotic reproduction. Strains collected from adjacent areas (>6 km) show excess heterozygosity, near-identical haplo-segments, common mitochondrial sequences and levels of aneuploidy incompatible with Mendelian sex. Certain individuals exhibit trisomy in as many as fifteen chromosomes. Others present fewer, yet shared, aneuploidies reminiscent of mitotic genome erosion and parasexual genetic exchange. Genomic and intra-genomic phylogenetics as well as haplotype co-ancestry analyses indicate a clear break in gene-flow between these distinct populations, despite the fact that they occasionally co-occur in vectors and hosts. We propose biological explanations for the fine-scale disconnectivity we observe and discuss the epidemiological consequences of flexible reproductive modes and their genomic architecture for this medically important parasite.

evolutionary biology↗

bioRxiv2017

Environmental DNA: a new low-cost monitoring tool for pathogens in salmonid aquaculture.

Sequencing of environmental DNA (eDNA-seq) is an emergent new monitoring tool that promises to facilitate the accurate and cost effective detection of species in environmental samples. eDNA monitoring is likely to have a major impact on the ability of salmonid aquaculture industry producers and their regulators to detect the presence and abundance of pathogens and other biological threats in the surrounding environment. However, for eDNA-seq to develop into a useful bio-monitoring tool it is necessary to (a) validate that sequence datasets derived from amplification of meta-barcoding markers reflect the true species identity and abundances in biological samples, and (b) establish a low-cost sequencing method to enable the bulk processing of environmental samples. In this study, we employed an elaborate experimental design whereby different combinations of five biological agents were crossed at three abundance levels and exposed to pre-filtered and normal seawater, prior to coarse filtering and then eDNA ultrafiltration of the resultant material. We then benchmarked the low-cost, scalable, Ion Torrent sequencing method against the current gold-standard Illumina platform for eDNAseq detection in aquaculture. Based on amplicon-seq of the 18S SSU rDNA v9 region, we found that Illumina and Ion Torrent were equally good in identifying the two parasite species (Lepeophtheirus salmonis and Paramoeba perurans), whereas the microalgae species Prymnesium parvum, Pseudo-nitzschia seriata and P. delicatissima could be assigned correctly only to the genus level. Illumina and Ion Torrent were also equally able to reflect community composition in our samples, whereas Ion Torrent was more sensitive in detecting species richness when the medium was unfiltered seawater. Both methods were able to reflect the correct abundances of 4 out of 5 species in samples from unfiltered seawater, despite the significant amount of background noise from both bacteria and eukaryotes. Our findings indicate that eDNA-seq offers significant potential in the monitoring of species harmful to aquaculture and for this purpose, the low-cost Ion Torrent sequencing is equally as accurate as Illumina.

genetics↗

bioRxiv2017

Genetic fingerprinting of salmon louse (Lepeophtheirus salmonis) populations in the North-East Atlantic using a random forest classification approach

Caligid sea lice represent a significant threat to salmonid aquaculture worldwide. Lepeophtheirus salmonis is the predominant species that occurs in the Northern Hemisphere. Dispersal of sea lice between marine aquaculture sites and geographic regions is thought to occur rapidly via planktonic transport of larvae. Population genetic analyses have consistently shown minimal population genetic structure in North Atlantic L. salmonis, frustrating efforts to track louse populations, improve targeted control measures and understand local adaption to environmental conditions. The aim of this study was to test the power of reduced representation library sequencing (IIb-RAD sequencing) coupled with random forest machine learning algorithms to define markers for fine-scale discrimination of louse populations. We identified 1286 robustly supported SNPs among four L. salmonis populations from Ireland (N=2, 27 individuals), Scotland (N=1, 11 individuals) and North Norway (N=1, 12 individuals). Weak global structure (FSC = 0.018, p<0.0001) and only one significant pairwise FST comparison was observed (Scotland vs Kenmare Bay, (FST = 0.018, p<0.0001)) using all 1286 SNPs. The application of a random forest machine-learning algorithm identified 98 discriminatory SNPs that dramatically improved population assignment (DAPC assignment probability = 1), increased global Fsc = 0.098, (p<0.0001) and resulted in pairwise comparisons that all showed highly significant Fst-values (range = 0.081 - 0.096, p<0.0001). Out of 19 SNPs found to be under directional selection between populations, 12 corresponded to the discriminatory SNPs identified using random forest. Taken together our data suggest that L. salmonis SNP diversity exists with which it is possible to discriminate differences between nearby populations given suitable marker selection approaches, and that such differences might have an adaptive basis. We discuss these data in light of sea lice adaption to anthropogenic and environmental pressures as well as novel approaches to track and predict sea louse dispersal.

ecology↗