Plant pathogens cause significant losses to agricultural yields and increasingly threaten food security, ecosystem integrity and societies in general. Xylella fastidiosa is one of the most dangerous plant bacteria worldwide, causing several diseases with profound impacts on agriculture and the environment. Primarily occurring in the Americas, its recent discovery in Asia and Europe demonstrates that X. fastidiosa's geographic range has broadened considerably, positioning it as a reemerging global threat that has caused socioeconomic and cultural damage. X. fastidiosa can infect more than 350 plant species worldwide, and early detection is critical for its eradication. In this article, we show that changes in plant functional traits retrieved from airborne imaging spectroscopy and thermography can reveal X. fastidiosa infection in olive trees before symptoms are visible. We obtained accuracies of disease detection, confirmed by quantitative polymerase chain reaction, exceeding 80% when high-resolution fluorescence quantified by three-dimensional simulations and thermal stress indicators were coupled with photosynthetic traits sensitive to rapid pigment dynamics and degradation. Moreover, we found that the visually asymptomatic trees originally scored as affected by spectral plant-trait alterations, developed X. fastidiosa symptoms at almost double the rate of the asymptomatic trees classified as not affected by remote sensing. We demonstrate that spectral plant-trait alterations caused by X. fastidiosa infection are detectable previsually at the landscape scale, a critical requirement to help eradicate some of the most devastating plant diseases worldwide.

Our results suggest that long-term consumption of the Med and LFHCC diets exerts a protective effect on the development of type 2 diabetes by different specific changes in the gut microbiota, increasing the abundance of the Roseburia genus and F. prausnitzii, respectively.

The phylum Nematoda includes the genus Longidorus, a remarkable group of invertebrates that are polyphagous root‐ectoparasites of many plants including various agricultural crops and trees. Damage is caused by direct feeding on root cells as well as by transmitting nepoviruses. Species discrimination in Longidorus is complicated by phenotypic plasticity (intraspecific variability and minor interspecific differences) leading to potential misidentification. We conducted nematode surveys in cultivated and natural environments in southern Spain that detected 11 species of Longidorus. We developed a comparative study amongst these related species by considering morphological and morphometric features together with molecular data from nuclear ribosomal RNA genes [D2‐D3 expansion segments of large ribosomal subunit (28S), internal transcribed spacer 1 (ITS1), and partial small ribosomal subunit (18S)]. The results of our molecular and phylogenetic analyses confirmed the morphological hypotheses and allowed the delimitation and discrimination of three new species of the genus, described herein as Longidorus baeticus sp. nov., Longidorus oleae sp. nov., and Longidorus andalusicus sp. nov., and eight known species (Longidorus alvegus, Longidorus crataegi, Longidorus fasciatus, Longidorus intermedius, Longidorus iuglandis, Longidorus magnus, Longidorus rubi, and Longidorus vineacola). Phylogenetic analyses of Longidorus spp. based on the three molecular markers resulted in a general consensus of these species grouping, as lineages were maintained for the majority of species (i.e. species with a conoid‐rounded lip region, amphidial fovea asymmetrically bilobed, female tail bluntly rounded), but not in some others (i.e. positions of L. crataegi, L. intermedius, and L. rubi were quite variable). To date, this is the most complete phylogenetic analysis for Longidorus and Paralongidorus species, with the highest number of species included. No correspondence between phylogenetic trees and morphological characters was found for ribosomal markers, with the exception of amphidial shape. Thus, polyphasic identification, based on integration of molecular analysis with morphology, is a tool beyond doubt in Longidorus identification. © 2013 The Linnean Society of London