Barnadesieae, Gochnatieae, Mutisieae and Nassauvieae (Asteraceae) in the Atlantic Forest of Caparaó National Park, Brazil.

Asteraceae is highly diverse in the Atlantic Forest, especially in montane environments. The early-diverging tribes within Asteraceae are of particular interest because of their great representation in Brazil and unique features within the family. Thus, a floristic inventory and systematic treatment of these basal grade in Caparaó National Park, an important remnant of Atlantic Forest that has been highlighted for its diversity and endemism, were undertaken.

South America holds the greatest diversity of native daisies (Asteraceae) in the world: an updated catalogue supporting continental-scale conservation.

Asteraceae is the world's richest plant family and is found on all continents, in environments ranging from the coast to the highest mountains. The family shows all growth forms and, as in other angiosperm families, species richness is concentrated in tropical regions. South America has the highest diversity of Asteraceae in the world, yet taxonomic and distributional knowledge gaps remain.

Lychnophora pinaster in endangered campos rupestres: phenolic compounds and population ecogeography.

Lychnophora pinaster, known as arnica-mineira, is endemic to campos rupestres, at risk of extinction. The present study aimed to characterize the ecogeography and phenolic constituents of 11 L. pinaster populations collected in the mesoregions North, Jequitinhonha, Metropolitan of Belo Horizonte and Campos das Vertentes in the state of Minas Gerais, Brazil.

High-Resolution Liquid Chromatography-Mass Spectrometry-Based Metabolomics for the Classification of (Barnadesioideae, Asteraceae): New Phenylpropanoid Derivatives as Chemical Markers for .

Despite their relatively poorly investigated phytochemistry, species of the genus are widely commercialized. The present study reports the use of a high-resolution liquid chromatography-mass spectrometry-based metabolomics approach coupled with exploratory and supervised multivariate statistical analyses for species classification and chemical marker identification of four species of (, , , and sp.) from Ecuador and Peru.

Occurrence and Genomic Characterization of -Harboring Isolates from Chicken and Pig Farms in Lima, Peru.

Resistance to colistin generated by the gene in is of great concern due to its efficient worldwide spread. Despite the fact that the Lima region has a third of the Peruvian population and more than half of the national pig and poultry production, there are no reports of the occurrence of the gene in isolated from livestock. In the present work, we studied the occurrence of carrying the gene in chicken and pig farms in Lima between 2019 and 2020 and described the genomic context of the gene.

A list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area.

Background: Brazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity.

Metabolomic analysis applied to chemosystematics and evolution of megadiverse Brazilian Vernonieae (Asteraceae).

Vernonia sensu lato is the largest and most complex genus of the tribe Vernonieae (Asteraceae). The tribe is chemically characterized by the presence of sesquiterpene lactones and flavonoids. Over the years, several taxonomic classifications have been proposed for Vernonia s.

A metabolomic protocol for plant systematics by matrix-assisted laser-desorption/ionization time-of flight mass spectrometry.

Matrix-assisted laser desorption/ionization time-of flight mass spectrometry (MALDI-TOF MS) has been widely used for the identification and classification of microorganisms based on their proteomic fingerprints. However, the use of MALDI-TOF MS in plant research has been very limited. In the present study, a first protocol is proposed for metabolic fingerprinting by MALDI-TOF MS using three different MALDI matrices with subsequent multivariate data analysis by in-house algorithms implemented in the R environment for the taxonomic classification of plants from different genera, families and orders.