RESUMEN
Thirty years have elapsed since the emergence of the classification of carbohydrate-active enzymes in sequence-based families that became the CAZy database over 20 years ago, freely available for browsing and download at www.cazy.org. In the era of large scale sequencing and high-throughput Biology, it is important to examine the position of this specialist database that is deeply rooted in human curation. The three primary tasks of the CAZy curators are (i) to maintain and update the family classification of this class of enzymes, (ii) to classify sequences newly released by GenBank and the Protein Data Bank and (iii) to capture and present functional information for each family. The CAZy website is updated once a month. Here we briefly summarize the increase in novel families and the annotations conducted during the last 8 years. We present several important changes that facilitate taxonomic navigation, and allow to download the entirety of the annotations. Most importantly we highlight the considerable amount of work that accompanies the analysis and report of biochemical data from the literature.
Asunto(s)
Carbohidratos/química , Bases de Datos de Ácidos Nucleicos , Bases de Datos de Proteínas , Enzimas/química , Carbohidratos/clasificación , Activación Enzimática/genética , Enzimas/clasificación , HumanosRESUMEN
Microbial diversity found in hypersaline ecosystems is structurally unique and essential in many microbiological and ecological processes. Tuz Lake, the second biggest lake in Türkiye, is a talassohaline (over 32% [w/v]) lake with near-neutral pH. The aim of study was to investigate the composition of the eukaryotic microbial community in Tuz Lake by 18S rDNA amplicon sequencing, as well as its relationship and change with environmental factors during 1-year period. Next-generation sequencing and bioinformatic analysis were applied to describe the eukaryotic microbial community in Tuz Lake. As a result of bioinformatics analysis, Archaeplastida (39%) and Stramenopiles, Alveolata, Rhizaria (SAR) (51%) were the most abundant taxa represented in the dataset. The Archaeplastida phylum showed a significant difference between winter and summer and higher abundance in summer in contrast to the SAR group, which represented higher abundance in winter. Genus level assessment showed that the most abundant genera were Navicula, Chlorophyta;unclassified_taxa, Dunaliella, Cladosporium, Paraphelidium, Scuticociliates;unclassified_taxa, and Chlamydomonadales;unclassified_taxa. Navicula abundance was significantly different and overwhelmingly dominant in winter. On the other hand, Cladosporium and Chlorophyta; unclassified_taxa represented a significant difference between seasons and high abundance in summer. Furthermore, Dunaliella populations were not detected in midsummer and early fall when the temperature increased and water volume in the lake decreased.