Faecal metabarcoding reveals pervasive long-distance impacts of garden bird feeding.

Supplementary feeding of wildlife is widespread, being undertaken by more than half of households in many countries. However, the impact that these supplemental resources have is unclear, with impacts largely considered to be restricted to urban ecosystems. We reveal the pervasiveness of supplementary foodstuffs in the diet of a wild bird using metabarcoding of blue tit (Cyanistes caeruleus) faeces collected in early spring from a 220 km transect in Scotland with a large urbanization gradient. Supplementary foodstuffs were present in the majority of samples, with peanut (Arachis hypogaea) the single commonest (either natural or supplementary) dietary item. Consumption rates exhibited a distance decay from human habitation but remained high at several hundred metres from the nearest household and continued to our study limit of 1.4 km distant. Supplementary food consumption was associated with a near quadrupling of blue tit breeding density and a 5-day advancement of breeding phenology. We show that woodland bird species using supplementary food have increasing UK population trends, while species that do not, and/or are outcompeted by blue tits, are likely to be declining. We suggest that the impacts of supplementary feeding are larger and more spatially extensive than currently appreciated and could be disrupting population and ecosystem dynamics.

Gradients in richness and turnover of a forest passerine's diet prior to breeding: A mixed model approach applied to faecal metabarcoding data.

Rather little is known about the dietary richness and variation of generalist insectivorous species, including birds, due primarily to difficulties in prey identification. Using faecal metabarcoding, we provide the most comprehensive analysis of a passerine's diet to date, identifying the relative magnitudes of biogeographic, habitat and temporal trends in the richness and turnover in diet of Cyanistes caeruleus (blue tit) along a 39 site and 2° latitudinal transect in Scotland. Faecal samples were collected in 2014-2015 from adult birds roosting in nestboxes prior to nest building. DNA was extracted from 793 samples and we amplified COI and 16S minibarcodes. We identified 432 molecular operational taxonomic units that correspond to putative dietary items. Most dietary items were rare, with Lepidoptera being the most abundant and taxon-rich prey order. Here, we present a statistical approach for estimation of gradients and intersample variation in taxonomic richness and turnover using a generalised linear mixed model. We discuss the merits of this approach over existing tools and present methods for model-based estimation of repeatability, taxon richness and Jaccard indices. We found that dietary richness increases significantly as spring advances, but changes little with elevation, latitude or local tree composition. In comparison, dietary composition exhibits significant turnover along temporal and spatial gradients and among sites. Our study shows the promise of faecal metabarcoding for inferring the macroecology of food webs, but we also highlight the challenge posed by contamination and make recommendations of laboratory and statistical practices to minimise its impact on inference.

Lack of long-term acclimation in Antarctic encrusting species suggests vulnerability to warming.

Marine encrusting communities play vital roles in benthic ecosystems and have major economic implications with regards to biofouling. However, their ability to persist under projected warming scenarios remains poorly understood and is difficult to study under realistic conditions. Here, using heated settlement panel technologies, we show that after 18 months Antarctic encrusting communities do not acclimate to either +1 °C or +2 °C above ambient temperatures. There is significant up-regulation of the cellular stress response in warmed animals, their upper lethal temperatures decline with increasing ambient temperature and population genetic analyses show little evidence of differential survival of genotypes with treatment. By contrast, biofilm bacterial communities show no significant differences in community structure with temperature. Thus, metazoan and bacterial responses differ dramatically, suggesting that ecosystem responses to future climate change are likely to be far more complex than previously anticipated.

Quality control of next-generation sequencing data without a reference.

Next-generation sequencing (NGS) technologies have dramatically expanded the breadth of genomics. Genome-scale data, once restricted to a small number of biomedical model organisms, can now be generated for virtually any species at remarkable speed and low cost. Yet non-model organisms often lack a suitable reference to map sequence reads against, making alignment-based quality control (QC) of NGS data more challenging than cases where a well-assembled genome is already available. Here we show that by generating a rapid, non-optimized draft assembly of raw reads, it is possible to obtain reliable and informative QC metrics, thus removing the need for a high quality reference. We use benchmark datasets generated from control samples across a range of genome sizes to illustrate that QC inferences made using draft assemblies are broadly equivalent to those made using a well-established reference, and describe QC tools routinely used in our production facility to assess the quality of NGS data from non-model organisms.

Deep resequencing of serial sputum isolates of Mycobacterium tuberculosis during therapeutic failure due to poor compliance reveals stepwise mutation of key resistance genes on an otherwise stable genetic background.

OBJECTIVES: It has generally been held that the repeated emergence of resistance in Mycobacterium tuberculosis is due to the effects of large population sizes, slow replication, and prolonged colonization and treatment. However, there have been suggestions that its emergence is facilitated by high mutation rates due to a lack of mismatch repair, error-prone polymerases, and a potentially mutagenic host niche. Genome re-sequencing has indicated higher variability in strains with emergent resistance, but these studies have not been performed in serial isolates in which drug resistance has emerged. We have used genome re-sequencing to address the mutational processes that occur during the evolution of drug resistance during a clinical infection. METHODS: Serial isolates from a patient obtained over a 12 month period, and spanning the transition of the colonizing population from fully drug sensitive, to isoniazid resistant, to isoniazid and rifampicin (multiply drug) resistant, spanning an estimated minimum of 100 generations within the host, were deep sequenced using Illumina sequencing. The genomes were compared, and all mutations in non-repetitive sequences were identified. RESULTS: Specific mutations conferring resistance were identified. No additional mutations in non-repetitive regions were present. The mutations observed were kat S315T and rpoB D516Y. CONCLUSIONS: M. tuberculosis is relatively stable genetically within the host, and demonstrates greater stability than is suggested by in vitro studies of emergent drug resistance, or by models of hypermutability. This indicates that it is primarily the nature and duration of the infection that are sufficient to lead to the repeated emergence of drug resistance in this infection if improperly managed, and that the selective pressure of the drugs limits additional diversification. This emphasizes the central importance of maintaining therapeutic concentrations of at least two effective antibiotics for the duration of treatment to prevent the emergence of resistance.