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Battisti, A.

Publications and source records attributed to Battisti, A..

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Complex responses of global insect pests to climate change

Insect pests strongly affect the productivity and profitability of agriculture and forestry. Despite the well-known sensitivity of insects to abiotic effects such as temperature, their potential responses to ongoing climate change remain unclear. Here we compile and review documented climate change responses of 31 of the globally most impactful phytophagous insect pests, focussing on species for which long-term, high-quality data are available. Most of the selected species show at least one response affecting their severity as pests, including changes in geographic range, population dynamics, life-history traits, and/or trophic interactions. Of the studied pests, 41% only show responses that are linked to increased pest severity, 4% only show responses of decreased severity, whereas importantly 55%, the majority of studied pests, show mixed responses including both increased and decreased severity under ongoing climate change. Variability in impact is further supported by a thermal sensitivity analysis showing little benefit of climate warming in relation to the optimal developmental temperatures for the majority of these pests under both current climate and future projections. Overall the results show that calculating the net effect of climate change on phytophagous insect pest impact is far from straightforward. The documented variation in responses, e.g. between agricultural and forest pests, indicates that efforts to mitigate undesirable climate change effects must target individual species, taking into account the complex ecological and evolutionary mechanisms underlying their responses.

ecology

Core Genome Multi Locus Sequence Typing and Single Nucleotide Polymorphism Analysis in the Epidemiology of Brucella melitensis Infections

The use of whole genome sequencing (WGS) using next generation sequencing (NGS) technology has become a widely accepted method for microbiology laboratories in the application of molecular typing for outbreak tracing and genomic epidemiology. Several studies demonstrated the usefulness of WGS data analysis through Single Nucleotide Polymorphism (SNP) calling from a reference sequence analysis for Brucella melitensis, whereas gene-by-gene comparison through core-genome Multilocus Sequence Typing (cgMLST) has not been explored so far. The current study developed an allele-based method cgMLST and compared its performance to the genome-wide SNP approach and the traditional MLVA on a defined sample collection. The dataset comprised of 37 epidemiologically linked animal cases of brucellosis as well as 71 epidemiologically unrelated human and animal isolates collected in Italy. The cgMLST scheme generated in this study contained 2,687 targets of the B. melitensis 16M reference genome (75.4% of the complete genome). We established the potential criteria necessary for inclusion of an isolate into a brucellosis outbreak cluster to be [≤]4 loci in the cgMLST and [≤]10 in WGS SNP analysis. CgMLST and SNP analysis provided much higher phylogenetic distance resolution than MLVA, particularly for strains belonging to the same lineage thus allowing diverse and unrelated genotypes to be identified with greater confidence. The application of this cgMLST scheme to the characterization of B. melitensis strains provided insights into the epidemiology of this pathogen and it is a candidate to be a benchmark tool for outbreak investigations in human and animal brucellosis.

microbiology

Abundance and diversity of the fecal resistome in slaughter pigs and broilers in nine European countries

EFFORT groupHaitske Graveland, Alieda van Essen, Bruno Gonzalez-Zorn, Gabriel Moyano, Pascal Sanders, Claire Chauvin, Julie David, Antonio Battisti, Andrea Caprioli, Jeroen Dewulf, Thomas Blaha, Katharina Wadepohl, Maximiliane Brandt, Dariusz Wasyl, Magdalena Skarzynska, Magdalena Zajac, Hristo Daskalov, Helmut W Saatkamp, Katharina D.C. Stark.\n\nAbstractAntimicrobial resistance (AMR) in bacteria and associated human morbidity and mortality is increasing. Use of antimicrobials in livestock selects for AMR that can subsequently be transferred to humans. This flow of AMR between reservoirs demands surveillance in livestock as well as in humans. As part of the EFFORT project (www.effort-against-amr.eu), we have quantified and characterized the acquired resistance gene pools (resistomes) of 181 pig and 178 poultry farms from nine European countries, generating more than 5,000 gigabases of DNA sequence, using shotgun metagenomics. We quantified acquired AMR using the ResFinder database and a database constructed for this study, consisting of AMR genes identified through screening environmental DNA. The pig and poultry resistomes were very different in abundance and composition. There was a significant country effect on the resistomes, more so in pigs than poultry. We found higher AMR loads in pigs, while poultry resistomes were more diverse. We detected several recently described, critical AMR genes, including mcr-1 and optrA, the abundance of which differed both between host species and countries. We found that the total acquired AMR level, was associated with the overall country-specific antimicrobial usage in livestock and that countries with comparable usage patterns had similar resistomes. Novel, functionally-determined AMR genes were, however, not associated with total drug use.

microbiology