Significance: This study provides a deep population genomic analysis of 10,000Capsicumaccessions held in genebanks and representing a frame of the global diversity of the genus. By combining single nucleotide polymorphisms (SNPs) based data and passport information, we investigated the genomic diversity and population structure of wild and domesticated peppers, tracing back to routes of evolution and providing a model ofCapsicum annuumdistribution, which reflects human trade and historical/cultural influences. Our results highlight west–east routes of expansion, shedding light on the links between South and Mesoamerica, Africa, and East/South Asia, the latter two constituting important diversification centers of pepper diversity. Finally, we outline a roadmap for genebank management and future direction for better exploitation of germplasm resources.

Crops are the major source of food supply and raw materials for the processing industry. A balance between crop production and food consumption is continually threatened by plant diseases and adverse environmental conditions. This leads to serious losses every year and results in food shortages, particularly in developing countries. Presently, cutting-edge technologies for genome sequencing and phenotyping of crops combined with progress in computational sciences are leading a revolution in plant breeding, boosting the identification of the genetic basis of traits at a precision never reached before. In this frame, machine learning (ML) plays a pivotal role in data-mining and analysis, providing relevant information for decision-making towards achieving breeding targets. To this end, we summarize the recent progress in next-generation sequencing and the role of phenotyping technologies in genomics-assisted breeding toward the exploitation of the natural variation and the identification of target genes. We also explore the application of ML in managing big data and predictive models, reporting a case study using microRNAs (miRNAs) to identify genes related to stress conditions.

The virulence of bacteria can be evaluated through both phenotypic and molecular assays. We applied these techniques to 114 strains of Salmonella enterica subsp. enterica collected from July 2010 to June 2012. Salmonella strains were of human origin (71/114) or isolated from food (43/114). The strain set included only the three predominant Salmonella serovars isolated in Italy from humans (S. Enteritidis, S. Typhimurium, S. 4,[5],12:i:-). These strains were screened via polymerase chain reaction for 12 virulence factors (gipA, gtgB, sopE, sspH1, sspH2, sodC1, gtgE, spvC, pefA, mig5, rck, srgA), while antimicrobial sensitivity was evaluated through the Kirby-Bauer assay. Fifty-nine different virulence profiles were highlighted; the genes showing the highest homology were those related to the presence of prophages (gipA, gtgB, sopE, sspH1, sspH2, sodC1, gtgE), while the genes related to the presence of plasmids were less frequently detected (spvC, pefA, mig5, rck, srgA). The Salmonella serovars Typhimurium and 4,[5],12:i:- were closely related in terms of both virulotyping and antibiotic resistance. S. Enteritidis showed higher antibiotic sensitivity and a higher prevalence of genes related to plasmids.

Double digest restriction-site associated sequencing (ddRAD-seq) is a flexible and cost-effective strategy for providing in-depth insights into the genetic architecture of germplasm collections. Using this methodology, we investigated the genomic diversity of a panel of 288 diverse tomato (Solanum lycopersicumL.) accessions enriched in ‘da serbo’ (called ‘de penjar’ in Spain) long shelf life (LSL) materials (152 accessions) mostly originating from Italy and Spain. The rest of the materials originate from different countries and include landraces for fresh consumption, elite cultivars, heirlooms, and breeding lines. Apart from their LSL trait, ‘da serbo’ landraces are of remarkable interest for their resilience. We identified 32,799 high-quality SNPs, which were used for model ancestry population structure and non-parametric hierarchical clustering. Six genetic subgroups were revealed, clearly separating most ‘da serbo’ landraces, but also the Spanish germplasm, suggesting a subdivision of the population based on type and geographical provenance. Linkage disequilibrium (LD) in the collection decayed very rapidly within <5 kb. We then investigated SNPs showing contrasted minor frequency allele (MAF) in ‘da serbo’ materials, resulting in the identification of high frequencies in this germplasm of several mutations in genes related to stress tolerance and fruit maturation such asCTR1andJAR1. Finally, a mini-core collection of 58 accessions encompassing most of the diversity was selected for further exploitation of key traits. Our findings suggest the presence of a genetic footprint of the ‘da serbo’ germplasm selected in the Mediterranean basin. Moreover, we provide novel insights on LSL ‘da serbo’ germplasm as a promising source of alleles for tolerance to stresses.

Wild potatoes, as dynamic resource adapted to various environmental conditions, represent a powerful and informative reservoir of genes useful for breeding efforts. WRKY transcription factors (TFs) are encoded by one of the largest families in plants and are involved in several biological processes such as growth and development, signal transduction, and plant defence against stress. In this study, 79 and 84 genes encoding putative WRKY TFs have been identified in two wild potato relatives,Solanum commersoniiandS. chacoense. Phylogenetic analysis of WRKY proteins dividedScWRKYsandSchWRKYsinto three Groups and seven subGroups. Structural and phylogenetic comparative analyses suggested an interspecific variability of WRKYs. Analysis of gene expression profiles in different tissues and under various stresses allowed to selectScWRKY045as a good candidate in wounding-response,ScWRKY055as a bacterial infection triggeredWRKYandScWRKY023as a multiple stress-responsiveWRKYgene. ThoseWRKYswere further studied through interactome analysis allowing the identification of potential co-expression relationships betweenScWRKYs/SchWRKYsand genes of various pathways. Overall, this study enabled the discrimination ofWRKYgenes that could be considered as potential candidates in both breeding programs and functional studies.