The necrosis- and ethylene-inducing peptide 1-like protein (NLP) gene family of the plant pathogen Corynespora cassiicola

Effectors are secreted by plant-associated microorganisms to modify the host cell physiology. As effectors, the Necrosis- and Ethylene-inducing peptide 1-like proteins (NLPs) are involded in the early phases of plant infection and may trigger host immune responses. Corynespora cassiicola is a polyphagous plant pathogen that causes target spot on many agriculturally important crops. Using genome assembly, gene prediction, and proteome annotation tools, we retrieved 135 NLP-encoding genes from proteomes of 44 isolates. We explored the evolutionary history of NLPs using Bayesian phylogeny, gene genealogies, and selection analyses. We accessed the expression profiles of the NLP genes during the early phase of C. cassiicola-soybean interaction. Three NLP putative-effector genes (Cc_NLP1.1, Cc_NLP1.2A, and Cc_NLP1.2B) were maintained in the genomes of all isolates tested. An NLP putative-non-effector gene (Cc_NLP1.3) was found in three isolates that had been originally obtained from soybean. Putative-effector NLPs were under different selective constraints: Cc_NLP1.1 was under stronger selective pressure, while Cc_NLP1.2A was under a more relaxed constraint. Meanwhile, Cc_NLP1.2B likely evolved under either positive or balancing selection. Despite highly divergent, the putative-effector NLPs maintain conserved the residues necessary to trigger plant immune responses, suggesting they are potentially functional. Only the Cc_NLP1.1 putative-effector gene was significantly expressed at the early hours of soybean colonization, while Cc_NLP1.2A and Cc_NLP1.2B showed much lower levels of gene expression.

In vitro antiplasmodial activity, targeted LC-MS metabolite profiling, and identification of major natural products in the bioactive extracts of Palicourea and Psychotria species from the Amazonia and Atlantic Forest biomes, Brazil

INTRODUCTION

A great variety of bioactive natural products has been reported for different Palicourea and Psychotria species (Rubiaceae). However, few of them as well as few of species of these botanical genera have been evaluated for antiplasmodial activity.

OBJECTIVE

To assess the antiplasmodial activity of 24 extracts from Palicourea and Psychotria genera, along with the targeted LC-MS metabolite profiling, as well as identification of the main metabolites in the bioactive extracts.

METHODS

Twenty four ethanol and acid-base extracts from Palicourea and Psychotria genera collected in the Amazonia and Atlantic Forest, Brazil, were evaluated against chloroquine-resistant Plasmodium falciparum W2 strain by PfLDH. The metabolite profiling and putative identification of metabolites from bioactive extracts were determined by LC-DAD-ESI-MS and LC-HRMS, respectively.

RESULTS

The ethanol extracts disclosed low antiplasmodial activity (% GI < 50%). High antiplasmodial effect was observed for the acid-base extracts from Psychotria apoda and Psychotria colorata with 100% inhibition of parasite growth inhibition. Fragment ions related to pyrrolidinoindoline alkaloids were observed by LC-DAD-ESI-MS mainly in the most bioactive extracts. The results of the in vitro screening associated with the LC-DAD-ESI-MS and LC-HRMSⁿ data allowed to predict, for the first time, the pyrrolidinoindoline alkaloids as possible antiplasmodial representing, then, new potential natural antimalarial hits. In addition, other metabolite classes such as flavanones, lignans and chalcones were also putatively identified in the bioactive extracts of Psychotria apoda, Psychotria capitata, and Psychotria poeppigiana.

CONCLUSION

The present results point to Palicourea and Psychotria species as sources of new antimalarial hits.

Genome sequences and in silico effector mining of Corynespora cassiicola CC_29 and Corynespora olivacea CBS 114450

The placement of Corynespora olivacea within the large genus Corynespora (Pleosporales) is controversial, because the species is distantly related to other congeners, including the type species C. cassiicola. Corynespora cassiicola is a polyphagous, cosmopolitan plant pathogen. Successful colonization of plant tissues requires the pathogen's effector repertoire to modulate host cell physiology and facilitate the infection process. We sequenced and performed functional annotations on the genomes of C. cassiicola CC_29 (genome size about 44.8 Mb; isolated from soybean leaves) and C. olivacea CBS 114450 (32.3 Mb). Our phylogenomic approach showed that C. cassiicola is distantly related to C. olivacea, which clustered among the Massarinaceae family members, supporting a hypothesis that C. olivacea was originally misclassified. The predicted sizes for the proteome and secretome of C. cassiicola (18,487 and 1327, respectively) were larger than those of C. olivacea (13,501 and 920; respectively). Corynespora cassiicola had a richer repertoire of effector proteins (CAZymes, proteases, lipases, and effectors) and genes associated with secondary metabolism than did C. olivacea.

Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance

Sugarcane is an economically important crop, but its genomic complexity has hindered advances in molecular approaches for genetic breeding. New cultivars are released based on the identification of interesting traits, and for sugarcane, brown rust resistance is a desirable characteristic due to the large economic impact of the disease. Although marker-assisted selection for rust resistance has been successful, the genes involved are still unknown, and the associated regions vary among cultivars, thus restricting methodological generalization. We used genotyping by sequencing of full-sib progeny to relate genomic regions with brown rust phenotypes. We established a pipeline to identify reliable SNPs in complex polyploid data, which were used for phenotypic prediction via machine learning. We identified 14,540 SNPs, which led to a mean prediction accuracy of 50% when using different models. We also tested feature selection algorithms to increase predictive accuracy, resulting in a reduced dataset with more explanatory power for rust phenotypes. As a result of this approach, we achieved an accuracy of up to 95% with a dataset of 131 SNPs related to brown rust QTL regions and auxiliary genes. Therefore, our novel strategy has the potential to assist studies of the genomic organization of brown rust resistance in sugarcane.

Mutagenic activity and chemical composition of phenolic-rich extracts of leaves from two species of Ficus medicinal plants

Plant species from the Ficus genus are widely used as food, and in folk medicine as anti-inflammatory, antioxidant and anticancer agents, although some of these species are known to produce adverse effects. The aim of this study was to determine and compare the chemical composition as well as in vitro antioxidant and mutagenic activity of the aqueous extracts of leaves from F. adhatodifolia and F. obtusiuscula. Phytochemical screening using thin-layer chromatography identified 6 classes of secondary metabolites in the extracts. Total phenolic content was estimated by the Folin-Ciocalteau method and the phenolic profile was determined by UPLC-DAD-ESI/MS/MS. Antioxidant activities were evaluated by the DPPH radical assay and by the β-carotene/linoleic acid system. Mutagenic activity was measured by the Salmonella typhimurium reverse mutation test with 4 strains, in both the presence and absence of metabolic activation. Flavonoids, coumarins, and tannins were detected in both extracts, and 6 major derivatives were identified as flavone compounds. Antioxidant activities were demonstrated for both extracts, while F. obtusiuscula contained higher concentrations of phenolic compounds. Mutagenic activity of the TA97 strain without metabolic activation was observed for both tested extracts, as well as the TA102 strain with metabolic activation. In addition, the extract of F. adhatodifolia was shown to be mutagenic to the TA102 strain without metabolic activation. Evidence indicates that the use of teas obtained from these two plant extracts in folk medicine may raise concerns and needs further investigation as a result of potential pro-oxidant mutagenic effects in the absence or presence of metabolic activation.

Evolutionary history of the cobalamin-independent methionine synthase gene family across the land plants

Plants are successful paleopolyploids. The wide diversity of land plants is driven strongly by their gene duplicates undergoing distinct evolutionary fates after duplication. We used genomic resources from 35 model plant species to unravel the evolutionary fate of gene copies (paralogs) of the cobalamin-independent methionine synthase (metE) gene family across the land plants. To explore genealogical relationships and characterize positive selection as a driving force in the evolution of metE paralogs within a single species, we carried out complementary analyses on genomic data of 32 genotypes of soybean. The size of the metE gene family remained small across the land plants; most of the studied species possessed 1-6 paralogs. Gene products were either cytosolic or chloroplastic; this dual subcellular distribution arose early during the divergence of the land plants and reached all extant lineages. Biased gene loss and gene retention events took place multiple times; recurrent evolution remodeled redundant metE paralogs to recover and maintain the dual subcellular distribution of MetE. Shared whole-genome duplication events gave rise to the metE paralogs of both soybean and Medicago truncatula. In soybean, the ancestral paralog pair GlymaPP2A encoded a cytosolic isoform of MetE, was under strong purifying selection, and retained high levels of expression across eight RNA-seq expression libraries. The daughters GlymaPP1 and GlymaPP2B showed accelerated rates of evolution, accumulated many sites predicted to be under positive selection, and possessed low levels of expression. Our results suggest that the metE paralogs of soybean follow Ohno's neofunctionalization model of gene duplicate evolution.