Over thousands of years, modernization could be predicted for the use of microorganisms in the production of foods and beverages. However, the current accelerated pace of new food production is due to the rapid incorporation of biotechnological techniques that allow the rapid identification of new molecules and microorganisms or even the genetic improvement of known species. At no other time in history have microorganisms been so present in areas such as agriculture and medicine, except as recognized villains. Currently, however, beneficial microorganisms such as plant growth promoters and phytopathogen controllers are required by various agricultural crops, and many species are being used as biofactories of important pharmacological molecules. The use of biofactories does not end there: microorganisms have been explored for the synthesis of diverse chemicals, fuel molecules, and industrial polymers, and strains environmentally important due to their biodecomposing or biosorption capacity have gained interest in research laboratories and in industrial activities. We call this new microbiology Technological Microbiology, and we believe that complex techniques, such as heterologous expression and metabolic engineering, can be increasingly incorporated into this applied science, allowing the generation of new and improved products and services.

Genetic diversity and its distribution, both within and between populations, may be determined by micro-evolutionary processes, such as the demographic history of populations, natural selection, and gene flow. In plants, indices of genetic diversity (e.g., k, h and π) and structure (e.g., FST) are typically inferred from sequences of chloroplast markers. Given the recent advances and popularization of molecular techniques for research in population genetics, phylogenetics, phylogeography, and ecology, we adopted a scientometric approach to compile evidence on the recent trends in the use of cpDNA sequences as markers for the analysis of genetic diversity in botanical studies, over the years. We also used phylogenetic modeling to assess the relative contribution of relatedness or ecological and reproductive characters to the genetic diversity of plants. We postulated that genetic diversity could be defined not only by microevolutionary factors and life history traits, but also by relatedness, so that species more closely related phylogenetically would have similar genetic diversities. We found a clear tendency for an increase in the number of studies over time, confirming the hypothesis that the advances in the area of molecular genetics have supported the accumulation of data on the genetic diversity of plants. However, we found that the vast majority of these data have been produced by Chinese authors, and refer specifically to populations of Chinese plants. Most of the data on genetic diversity have been obtained for species in the International Union for Conservation of Nature (IUCN) category NE (Not Evaluated), which indicates a relative lack of attention on threatened species. In general, we observed very high FST values in the groups analyzed and, as we focused primarily on species that have not been evaluated by the IUCN, the number of plant species that are threatened with extinction may be much greater than that indicated by the listing of this organization. We also found that the number of haplotypes (k) was influenced by the type of geographic distribution of the plant, while haplotype diversity (h) was affected by the type of flower, and the fixation index (FST), by the type of habitat. The plant species most closely-related phylogenetically have similar levels of genetic diversity. Overall, then, it will important to consider phylogenetic dependence in future studies that evaluate the effects of life-history traits on plant genetic diversity.

Abstract:The ecological and biotechnological services that microorganisms provide to the planet and human society highlight the need to understand and preserve microbial diversity, which is widely distributed, challenging the severity of certain environments. Cataloging this diversity has also challenged the methods that are currently used to isolate and grow microorganisms, because most of the microbiota that are present in environmental samples have been described as unculturable. Factors such as geographic isolation and host preference also hinder the assessment of microbial diversity. However, prejudiced historical practices, including the prioritization of some species of microorganisms merely because they cause diseases, have long shifted research on fungi and bacteria towards medically relevant microorganisms. Thus, most microorganisms that inhabit the planet are still unknown, as is the potential of these species. Current estimates allow us to predict that the diversity of microorganisms that are present in the various terrestrial ecosystems is enormous. However, understanding this diversity is a challenge for the future of microbial ecology research.

Understanding the plastid genome is extremely important for the interpretation of the genetic mechanisms associated with essential physiological and metabolic functions, the identification of possible marker regions for phylogenetic or phylogeographic analyses, and the elucidation of the modes through which natural selection operates in different regions of this genome. In the present study, we assembled the plastid genome of Artocarpus camansi, compared its repetitive structures with Artocarpus heterophyllus, and searched for evidence of synteny within the family Moraceae. We also constructed a phylogeny based on 56 chloroplast genes to assess the relationships among three families of the order Rosales, that is, the Moraceae, Rhamnaceae, and Cannabaceae. The plastid genome of A. camansi has 160,096 bp, and presents the typical circular quadripartite structure of the Angiosperms, comprising a large single copy (LSC) of 88,745 bp and a small single copy (SSC) of 19,883 bp, separated by a pair of inverted repeat (IR) regions each with a length of 25,734 bp. The total GC content was 36.0%, which is very similar to Artocarpus heterophyllus (36.1%) and other moraceous species. A total of 23,068 codons and 80 SSRs were identified in the A. camansi plastid genome, with the majority of the SSRs being mononucleotide (70.0%). A total of 50 repeat structures were observed in the A. camansi plastid genome, in contrast with 61 repeats in A. heterophyllus. A purifying selection signal was found in 70 of the 79 protein-coding genes, indicating that they have all been highly conserved throughout the evolutionary history of the genus. The comparative analysis of the structural characteristics of the chloroplast among different moraceous species found a high degree of similarity in the sequences, which indicates a highly conserved evolutionary model in these plastid genomes. The phylogenetic analysis also recovered a high degree of similarity between the chloroplast genes of A. camansi and A. heterophyllus, and reconfirmed the hypothesis of the intense conservation of the plastome in the family Moraceae.

Cagaita (Eugenia dysenterica DC.) is a native fruit tree with high economical potential from the Brazilian Cerrado. However, little is known about the essential nutritional demands of its seedlings. To determine the nutrient demands of Cagaita, a greenhouse experiment was performed, in which plants were grown under hydroponic condition to assess the growth (length and diameter of stems, number of leaves, number of nodes, volume and length of roots, area of the leaf and crown and total dry weight of the leaves, stems and roots) and nutrient concentration (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn) at different time points after the plant were transferred into a nutrient solution. The seedling growth presented linear behavior until 180 days after transplantation. The total plant dry weight was 6.54 g after 180 days of transfer into the nutrient solution. The N content was positively correlated with the total dry weight and leaf area, whereas B was negatively correlated with the length of the stem and number of leaves. Macro and micronutrient concentrations presented the following order: N>Ca>K>P>Mg>S, Fe>Mn>B>Zn>Cu. A principal component analysis of the different sampling times provided important information used to define the growth variables.