Biology subjects

Madrigal-Trejo, D.

Publications and source records attributed to Madrigal-Trejo, D..

4 recordsLinked to original sources

bioRxiv2023

Unveiling Local Radiation Events through Metagenome Assembled Genomes of Archaea and Bacteria in Hypersaline Microbial Mats from the Archean Domes Site, Cuatro Cienegas, Coahuila, Mexico

A comprehensive study was conducted in the Cuatro Cienegas Basin (CCB) in Coahuila, Mexico, known for its remarkable microbiological diversity and unique physicochemical properties. The ''Archaean Domes '' (DA) in the CCB are hypersaline, non-lithifying microbial mats. This study focused on analyzing the small domes and circular structures formed in DA through metagenome assembly genomes (MAGs) with the aim of finding new microorganisms and providing information on the tree of life in a place as diverse as the CCB. In total, 329 MAGs were identified, including 52 archaea and 277 bacteria. Remarkably, 30 Archaea and 154 Bacteria could not be classified at the genus level, highlighting the remarkable diversity of CCB. The CCBs showed significant diversity at the phylum level, with Proteobacteria being the most abundant, followed by Euryarchaeota, Firmicutes, Bacteroidetes, Actinobacteria, Cyanobacteria, Spirochaetes, Chloroflexi, Planctomycetes, Candidatus Parvarchaeota, Verrucomicrobia, Balneolaeota, Nitrospirae, and Tenericutes. Subsequently, the MAGs were classified into a phylogenetic tree. In Archaea, monophyletic groups MAGs belonged to the phyla Archaeoglobi, Candidatus Aenigmarchaeota, Candidatus Nanoarchaeota, Candidatus Lokiarchaeota, and Halobacteriota. Among the Bacteria, monophyletic groups were identified as well, including Spirochaetes, Proteobacteria, Planctomycetota, Actinobacteria, Verrucomicrobiota, Bacteroidetes, Bipolaricaulota, Desulfobacterota, and Cyanobacteria. These monophyletic clusters may indicate radiation events that are likely influenced by geographical isolation as well as extreme environmental conditions reported in AD pond like phosphorus deficiency (122:42:1 C:N:P), fluctuating pH and a salinity of 5.28%

microbiology↗

bioRxiv2021

Modern microbial mats from the Chihuahuan Desert provide insights into ecological stability throughout Earth's history

Microbial mats are complex ecological assemblages that are found in the Precambrian fossil record and in extant extreme environments. Hence, these structures are regarded as highly stable ecosystems. In this work, we assess the ecological stability in a modern, fluctuating, hypersaline pond from the Cuatro Cienegas Basin. From the 2016 to 2019 metagenomic sampling of this site, we found that this microbial site is sensitive to disturbances, which leads to high taxonomic replacement. Additionally, the mats have shown to be functionally stable throughout time, and could be differentiated between dry and rainy seasonal states. We speculate that this microbial system could represent modern analogs of ancient microbial mats where functions were preserved over time, whereas composition was subject to diversification in the face of local and planetary perturbations.

ecology↗

bioRxiv2021

MicNet Toolbox: visualizing and deconstructing a microbial network

Understanding both global and local patterns in the structure and interplay of microbial communities has been a fundamental question in ecological research. In this paper, we present a python toolbox that combines two emerging techniques that have been proposed as useful when analyzing compositional microbial data. On one hand, we introduce a visualization module that incorporates the use of UMAP, a recent dimensionality reduction technique that focuses on local patterns, and HDBSCAN, a clustering technique based on density. On the other hand, we have included a module that runs an enhanced version of the SparCC code, sustaining larger datasets than before, and we couple this with network theory analyses to describe the resulting co-occurrence networks, including several novel analyses, such as structural balance metrics and a proposal to discover the underlying topology of a co-occurrence network. We validated the proposed toolbox on 1) a simple and well described biological network of kombucha, consisting of 48 ASVs, and 2) using simulated community networks with known topologies to show that we are able to discern between network topologies. Finally, we showcase the use of the MicNet toolbox on a large dataset from Archean Domes, consisting of more than 2,000 ASVs. Our toolbox is freely available as a github repository (https://github.com/Labevo/MicNetToolbox), and it is accompanied by a web dashboard (http://micnetapplb-1212130533.us-east-1.elb.amazonaws.com) that can be used in a simple and straightforward manner with relative abundance data. Author SummaryMicrobial communities are complex systems that cannot be wholly understood when studied by its individual components. Hence, global pattern analyses seem to be a promising complement to highly focused local approaches. Here, we introduce the MicNet toolbox, an open-source collection of several analytical methods for visualizing abundance data and creating co-occurrence networks for further analysis. We include two modules: one for visualization and one for network analysis based on graph theory. Additionally, we introduce an enhanced version of SparCC, a method to estimate correlations for co-occurrence network construction, that is faster and can support larger datasets. We performed method validations using simulated data and a simple biological network. Our toolbox is freely available in a github repository at https://github.com/Labevo/MicNetToolbox, and it is accompanied by a web dashboard that could be easily accessed and manipulated by non-specialist users. With this implementation, we attempt to provide a simple and straightforward way to explore and analyze microbial relative abundance data.

bioinformatics↗

bioRxiv2021

Ecological relevance of abundant and rare taxa in a high-diverse elastic hypersaline microbial mat, using a small-scale sampling

We evaluated the microbial diversity and metabolome profile of an uncommon hypersaline elastic microbial mat from Cuatro Cienegas Basin (CCB) in the Chihuahuan Desert of Coahuila, Mexico. We collected ten samples on a small scale transect (1.5-meters) and described its microbial diversity through NGS-based ITS and 16S rDNA gene sequencing. A very low number of taxa comprised a considerable proportion of the mat and were shared across all sampling points, whereas the rare biosphere was more phylogenetically diverse (Faiths Phylogenetic Diversity (FPD) index) and phylogenetically disperse (using a null model distribution of Phylogenetic Species Clustering (nmdPSC)) than the abundant (high read count) taxa for both analyzed libraries. We also found a distinctive metabolome profile for each sample and were able to tentatively annotate several classes of compounds with relevant biological properties.

microbiology↗