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The habanero pepper (Capsicum chinense) is a prominent spicy fruit integral to the historical, social, cultural, and economic fabric of the Yucatan peninsula in Mexico. This study leverages the power of 1H NMR spectroscopy coupled with machine learning algorithms to dissect the metabolomic profile of eleven C. chinense cultivars, including those grown by INIFAP (Habanero-Jaguar, Antillano-HRA 1-1, Antillano-HRA 7-1, Habanero-HAm-18A, Habanero-HC-23C, and Jolokia-NJolokia-22) and commercial hybrids (Habanero-Rey Votán, Habanero-Kabal, Balam, USAPR10117, and Rey Pakal). A total of fifty metabolites, encompassing sugars, amino acids, short-chain organic acids, and nucleosides, were identified from the 1H NMR spectra. The optimized machine learning model proficiently predicted the similarity percentage between the INIFAP-grown cultivars and commercial hybrids, thereby facilitating a comprehensive comparison. Biomarkers unique to each cultivar were delineated, revealing that the Habanero-Rey Votán cultivar is characterized by the highest concentration of sugars. In contrast, the Balam cultivar is rich in amino acids and short-chain organic acids, sharing a similar metabolomic profile with the Jolokia-NJolokia-22 cultivar. The findings of this study underscore the efficacy and reliability of NMR-based metabolomics as a robust tool for differentiating C. chinense cultivars based on their intricate chemical profiles. This approach not only contributes to the scientific understanding of the metabolomic diversity among habanero peppers but also holds potential implications for food science, agriculture, and the culinary arts.

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This work reports on the metabolic fingerprinting of ten new races of Capsicum annuum cv. jalapeño using 1H NMR based metabolomics coupled to machine learning projections. Ten races were classified and evaluated according to their differential metabolites, variables of commercial interest and by multivariate data analysis/machine learning algorithm. According to our results, experimental races of jalapeño peppers exhibited differences in carbohydrate, amino acid, nucleotide and organic acid contents. Forty-eight metabolites were identified by 1D and 2D NMR and the differential metabolites were quantified by qNMR. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) separated the studied races into two groups. The group A included the races Colosus, Emperador, Fundador and Rayo whereas the group B included the races Don Benito, SMJ 1416, SMJ 1417, SMJ 1423, SMJ 145 and STAM J0904. OPLS-DA revealed that levels of citric acid in group A were higher than in group B, while the levels of asparagine, fumaric acid, GABA, glucose, malic acid, pyruvic, quinic acid, sucrose and tryptophan were higher in the group B. Remarkably, ascorbic acid was exclusively found in the race Colosus. Random forest model revealed the diversity of the experimental races and the similarity rate with the well-established races. The most relevant variables used to generate a model were length, weight, yield, width, xylose content and organic acids content.

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Resumen La práctica odontológica se enfrenta al cambio de paradigmas y modificación de protocolos en bioseguridad, aspecto este que se ha convertido en una variable a ser practicada por cada profesional como parte de su conducta en todo momento para poder sobrevivir como profesión ante la pandemia mundial que representa el riesgo de transmisión del nuevo coronavirus llamado COVID-19. Uno de los problemas de mayor importancia en bioseguridad dental lo representa la generación de bioaerosoles, debido a que son vectores que transportan microorganismos del exterior hacia dentro del organismo de las personas, lo cual genera un potencial riesgo ocupacional ya conocido en las ciencias odontológicas pero que se potencia con la transmisibilidad y patogenicidad del nuevo coronavirus. Hasta el momento se tienen muchas interrogantes sobre la transmisión a través de aerosoles del SARS-CoV-2 , por lo que el objetivo general de abordaje de esta revisión se centra en comprender los elementos científicos que rigen la aerodinámica de los bioaerosoles aplicados al entorno dental y como éstos pueden convertirse en un potencial diseminador del virus presente en la saliva al momento de realizar procedimientos odontológicos intraorales en pacientes infectados. La comprensión de la aerodinámica de los bioaerosoles nos ayuda a entender como el SARS-CoV-2 presente en el bioaerosol generado por procedimientos odontológicos en pacientes infectados puede variar en términos de viabilidad e infectabilidad al influir otros factores como lo son humedad relativa, temperatura, corrientes de aire, factores fisicoquímicos del bioaerosol y el sistema inmune del huésped.

Abstract Dental practice faces the paradigm shift and the modification of protocols in biosafety, an aspect that has become a variable to be practiced by each professional as part of their conduct at all times in order to survive as a profession in the face of the global pandemic that it represents the risk of transmission of the new coronavirus called COVID-19. One of the most important problems in dental biosecurity is represented by the generation of bioaerosols, since these are vectors that transport microorganisms to inside people's bodies, which generates a potential occupational risk already known in the dental sciences but that it is enhanced with the transmissibility and pathogenicity of the new coronavirus. Until now, there are many questions about transmission through aerosols of SARS-CoV-2 , so the general objective of this review is to understand the scientific elements that govern the aerodynamics of bioaerosols applied to the dental environment and how these can become a potential virus disseminator when intraoral dental procedures are performed in infected patients. Understanding the aerodynamics of bioaerosols helps us understand how SARS-CoV-2 present in bioaerosol generated by dental procedures in infected patients can vary in terms of viability and infectivity by influencing other factors such as relative humidity, room temperature, air currents, bioaerosol physicochemical factors and the host´s immune system

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A taxonomic synopsis of Virola (Myristicaceae) is presented for Mesoamerica. Fourteen species are recognised, amongst them six are described and published as new, based on morphology: V. allenii D.Santam. & Aguilar, sp. nov. from Costa Rica, V. otobifolia D.Santam., sp. nov. from Panama and V. amistadensis D.Santam., sp. nov., V. chrysocarpa D.Santam. & Aguilar, sp. nov., V. fosteri D.Santam., sp. nov. and V. montana D.Santam., sp. nov. from both Costa Rica and Panama. Additionally, a lectotype is designated for V. koschnyi, accompanied by an epitype in view of the fragmentary material. Finally, we recognise V. laevigata and V. nobilis as morphologically distinct species, though these are frequently considered synonymys of V. guatemalensis and V. surinamensis, respectively. Of the fourteen accepted species, twelve of them are endemic to Mesoamerica, while the remaining two species (V. elongata and V. sebifera) extend into South America. Illustrations, species diagnoses and distribution maps for each species are provided, as is an identification key to all species.

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Approximately 90% of the chili peppers consumed in the world are harvested in Mexico. The present article describes the untargeted 1H NMR-based metabolomic profiling of 11 cultivars of Capsicum annuum species which are routinely consumed worldwide. The metabolomic fingerprinting detected via 1H NMR contained 44 metabolites including sugars, amino acids, organic acids, polyphenolic acids and alcohols which were identified by comparison with the literature data, with Chenomx database and by 2D NMR. Statistical approaches based on principal component analysis (PCA) and linear discriminant analysis (LDA) were used to classify the Capsicum annuum cultivars according to their metabolite profile. LDA revealed metabolomic differences and similarities among Capsicum annuum cultivars, whereas hierarchical cluster analysis (HCA) significantly separated the cultivars according to the phylogenetic trees obtained. Substantial endogenous levels of free amino acids and carbohydrates were detected in all the studied cultivars but interestingly, Capsicum annuum cv. mirasol and C. annuum cv. chilaca contained almost three-fold more endogenous levels of vitamin C than the other cultivars. Considering that this antioxidant was found in crude aqueous extracts, its abundance could be directly proportional to its bioavailability for human nutrition. The results suggest that 1H NMR is an effective method to determine differences among cultivars of the Capsicum annuum species.

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Herein we report on the 1H NMR-based metabolomics profiling of ten new races of Capsicum annuum cv. serrano, cultivated in Mexico. Forty eight metabolites (including sugars, amino acids, organic acids, polyphenolic acids and alcohols) were identified and quantified by 2D NMR and qNMR, respectively. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) separated the ten races into two clusters, from which citric acid, formic acid, fumaric acid, malic acid, glucose, fructose, sucrose and galactose were found as differential metabolites. This is the first study describing the chemical profiling of ten new races of Capsicum annuum cv. serrano and the spectrometric method used presently is characterized by great simplicity, robustness and reproducibility. Thus, this technique can be used for establishing reliable metabolomic fingerprints of different races of Capsicum annuum cv. serrano.

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Myrteae (c. 2500 species; 51 genera) is the largest tribe of Myrtaceae and an ecologically important groups of angiosperms in the Neotropics. Systematic relationships in Myrteae are complex, hindering conservation initiatives and jeopardizing evolutionary modelling. A well-supported and robust phylogenetic hypothesis was here targeted towards a comprehensive understanding of the relationships within the tribe. The resultant topology was used as a base for key evolutionary analyses such as age estimation, historical biogeography and diversification rate patterns. One nuclear (ITS) and seven chloroplast (psbA-trnH, matK, ndhF, trnl-trnF, trnQ-rps16, rpl16 and rpl32-trnL) DNA regions for 115 taxa representing 46 out of the 51 genera in the tribe were accessed and analysed using maximum likelihood and Bayesian inference tools for phylogenetic reconstruction. Dates of diversification events were estimated and contrasted using two distinct fossil sets (macro and pollen) in BEAST. The subsequent dated phylogenies were compared and analysed for biogeographical patterns using BioGeoBEARS and diversification rates using BAMM. Myrteae phylogeny presents strong statistical support for three major clades within the tribe: Australasian group, Myrtus group and Main Neotropical Lineage. Dating results from calibration using macrofossil are an average of 20 million years older and show an early Paleocene origin of Myrteae, against a mid-Eocene one from the pollen fossil calibration. Biogeographic analysis shows the origin of Myrteae in Zealandia in both calibration approaches, followed by a widespread distribution throughout the still-linked Gondwana continents and diversification of Neotropical endemic lineages by later vicariance. Best configuration shift indicates three points of acceleration in diversification rates, all of them occurring in the Main Neotropical Lineage. Based on the reconstructed topology, several new taxonomic placements were recovered, including: the relative position of Myrtus communis, the placement of the Blepharocalyx group, the absence of generic endemism in the Caribbean, and the paraphyletism of the former Pimenta group. Distinct calibration approaches affect biogeography interpretation, increasing the number of necessary long distance dispersal events in the topology with older nodes. It is hypothesised that biological intrinsic factors such as modifications of embryo type and polyploidy might have played a role in accelerating shifts of diversification rates in Neotropical lineages. Future perspectives include formal subtribal classification, standardization of fossil calibration approaches and better links between diversification shifts and trait evolution.

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