Dataset Information

Bacterial Diversity Profiling of Desert Sand from Tierra Caliente, Mexico, Based on 16S rRNA Gene Amplicon Sequencing.

ABSTRACT: Tierra Caliente is an arid region in Mexico, representing a reservoir of understudied xerophilic bacteria. Here, we report the bacterial amplicon sequencing characterization of desert sand collected from the Zicuirán-Infiernillo Biosphere Reserve within Tierra Caliente. Bacteria known to be resistant to desiccation and high radiation were detected.

SUBMITTER: Ramos-Madrigal C

PROVIDER: S-EPMC9476955 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Bacterial Diversity Profiling of Desert Sand from Tierra Caliente, Mexico, Based on 16S rRNA Gene Amplicon Sequencing.

Ramos-Madrigal Cristal C Martínez-Romero Esperanza E Tapia-Torres Yunuen Y Servín-Garcidueñas Luis E LE

Microbiology resource announcements 20220824 9

Tierra Caliente is an arid region in Mexico, representing a reservoir of understudied xerophilic bacteria. Here, we report the bacterial amplicon sequencing characterization of desert sand collected from the Zicuirán-Infiernillo Biosphere Reserve within Tierra Caliente. Bacteria known to be resistant to desiccation and high radiation were detected. ...[more]

PMID: 36000857

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Project description:Bacterial endosymbionts that produce important phenotypic effects on their hosts are common among plant sap-sucking insects. Aphids have become a model system of insect-symbiont interactions. However, endosymbiont research has focused on a few aphid species, making it necessary to make greater efforts to other aphid species through different regions, in order to have a better understanding of the role of endosymbionts in aphids as a group. Aphid endosymbionts have frequently been studied by PCR-based techniques, using species-specific primers, nevertheless this approach may omit other non-target bacteria cohabiting a particular host species. Advances in high-throughput sequencing technologies are complementing our knowledge of microbial communities by allowing us the study of whole microbiome of different organisms. We used a 16S rRNA amplicon sequencing approach to study the microbiome of aphids in order to describe the bacterial community diversity in introduced populations of the cereal aphids, Sitobion avenae and Rhopalosiphum padi in Chile (South America). An absence of secondary endosymbionts and two common secondary endosymbionts of aphids were found in the aphids R. padi and S. avenae, respectively. Of those endosymbionts, Regiella insecticola was the dominant secondary endosymbiont among the aphid samples. In addition, the presence of a previously unidentified bacterial species closely related to a phytopathogenic Pseudomonad species was detected. We discuss these results in relation to the bacterial endosymbiont diversity found in other regions of the native and introduced range of S. avenae and R. padi. A similar endosymbiont diversity has been reported for both aphid species in their native range. However, variation in the secondary endosymbiont infection could be observed among the introduced and native populations of the aphid S. avenae, indicating that aphid-endosymbiont associations can vary across the geographic range of an aphid species. In addition, we discuss the potential role of aphids as vectors and/or alternative hosts of phytopathogenic bacteria.

Project description:Metagenomic sequencing of bacterial samples has become the gold standard for profiling microbial populations, but 16S rRNA profiling remains widely used due to advantages in sample throughput, cost, and sensitivity even though the approach is hampered by primer bias and lack of specificity. We hypothesized that a hybrid approach, that combined targeted PCR amplification with high-throughput sequencing of multiple regions of the genome, would capture many of the advantages of both approaches. We developed a method that identifies and quantifies members of bacterial communities through simultaneous analysis of multiple variable regions of the bacterial 16S rRNA gene. The method combines high-throughput microfluidics for PCR amplification, short read DNA sequencing, and a custom algorithm named MVRSION (Multiple 16S Variable Region Species-Level IdentificatiON) for optimizing taxonomic assignment. MVRSION performance was compared to single variable region analyses (V3 or V4) of five synthetic mixtures of human gut bacterial strains using existing software (QIIME), and the results of community profiling by shotgun sequencing (COPRO-Seq) of fecal DNA samples collected from gnotobiotic mice colonized with a defined, phylogenetically diverse consortium of human gut bacterial strains. Positive predictive values for MVRSION ranged from 65%-91% versus 44%-61% for single region QIIME analyses (p < .01, p < .001), while the abundance estimate r2 for MVRSION compared to COPRO-Seq was 0.77 vs. 0.46 and 0.45 for V3-QIIME and V4-QIIME, respectively. MVRSION represents a generally applicable tool for taxonomic classification that is superior to single-region 16S rRNA methods, resource efficient, highly scalable for assessing the microbial composition of up to thousands of samples concurrently, with multiple applications ranging from whole community profiling to targeted tracking of organisms of interest in diverse habitats as a function of specified variables/perturbations.

Dataset Information

Bacterial Diversity Profiling of Desert Sand from Tierra Caliente, Mexico, Based on 16S rRNA Gene Amplicon Sequencing.

Publications

Bacterial Diversity Profiling of Desert Sand from Tierra Caliente, Mexico, Based on 16S rRNA Gene Amplicon Sequencing.

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