scholarly journals The Dark Side of the Mushroom Spring Microbial Mat: Life in the Shadow of Chlorophototrophs. I. Microbial Diversity Based on 16S rRNA Gene Amplicons and Metagenomic Sequencing

2016 ◽  
Vol 7 ◽  
Author(s):  
Vera Thiel ◽  
Jason M. Wood ◽  
Millie T. Olsen ◽  
Marcus Tank ◽  
Christian G. Klatt ◽  
...  
2017 ◽  
Vol 6 (3) ◽  
pp. e00443 ◽  
Author(s):  
Tiago Palladino Delforno ◽  
Gileno Vieira Lacerda Júnior ◽  
Melline F. Noronha ◽  
Isabel K. Sakamoto ◽  
Maria Bernadete A. Varesche ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Francesco Durazzi ◽  
Claudia Sala ◽  
Gastone Castellani ◽  
Gerardo Manfreda ◽  
Daniel Remondini ◽  
...  

AbstractIn this paper we compared taxonomic results obtained by metataxonomics (16S rRNA gene sequencing) and metagenomics (whole shotgun metagenomic sequencing) to investigate their reliability for bacteria profiling, studying the chicken gut as a model system. The experimental conditions included two compartments of gastrointestinal tracts and two sampling times. We compared the relative abundance distributions obtained with the two sequencing strategies and then tested their capability to distinguish the experimental conditions. The results showed that 16S rRNA gene sequencing detects only part of the gut microbiota community revealed by shotgun sequencing. Specifically, when a sufficient number of reads is available, Shotgun sequencing has more power to identify less abundant taxa than 16S sequencing. Finally, we showed that the less abundant genera detected only by shotgun sequencing are biologically meaningful, being able to discriminate between the experimental conditions as much as the more abundant genera detected by both sequencing strategies.


2018 ◽  
Vol 7 (14) ◽  
Author(s):  
Kyunghoi Kim

Deterioration of sediment quality has been found in the Nakdong River Estuary after large-scale reclamations. Here, I report microbial diversity in sediments of Nakdong River Estuary in the Republic of Korea based on 16S rRNA gene sequencing by next-generation sequencing (NGS) techniques.


2021 ◽  
Author(s):  
Seppo Virtanen ◽  
Schahzad Saqib ◽  
Tinja Kanerva ◽  
Pekka Nieminen ◽  
Ilkka Kalliala ◽  
...  

Abstract Background: Amplicon sequencing of kingdom-specific tags such as 16S rRNA gene for bacteria and internal transcribed spacer (ITS) region for fungi are widely used for investigating microbial populations. So far most human studies have focused on bacteria while studies on host-associated fungi in health and disease have only recently started to accumulate. To enable cost-effective parallel analysis of bacterial and fungal communities in human and environmental samples, we developed a method where 16S rRNA gene and ITS-1 amplicons were pooled together for a single Illumina MiSeq or HiSeq run and analysed after primer-based segregation. Taxonomic assignments were performed with Blast in combination with an iterative text-extraction based filtration approach, which uses extensive literature records from public databases to select the most probable hits that were further validated by shotgun metagenomic sequencing. Results: Using 50 vaginal samples, we show that the combined run provides comparable results on bacterial composition and diversity to conventional 16S rRNA gene amplicon sequencing. The text-extraction-based taxonomic assignment guided tool provided ecosystem specific annotations that were confirmed by Metagenomic Phylogenetic Analysis (MetaPhlAn). The metagenome analysis revealed distinct functional differences between the bacterial community types while fungi were undetected, despite being identified in all samples based on ITS amplicons. Co-abundance analysis of bacteria and fungi did not show strong between-kingdom correlations within the vaginal ecosystem of healthy women.Conclusion: Combined amplicon sequencing for bacteria and fungi provides a simple and cost-effective method for simultaneous analysis of microbiota and mycobiota within the same samples. Text extraction-based annotation tool facilitates the characterization and interpretation of defined microbial communities from rapidly accumulating sequencing and metadata readily available through public databases.


2021 ◽  
Vol 12 ◽  
Author(s):  
Faten Ghodhbane-Gtari ◽  
Timothy D’Angelo ◽  
Abdellatif Gueddou ◽  
Sabrine Ghazouani ◽  
Maher Gtari ◽  
...  

Actinorhizal plants host mutualistic symbionts of the nitrogen-fixing actinobacterial genus Frankia within nodule structures formed on their roots. Several plant-growth-promoting bacteria have also been isolated from actinorhizal root nodules, but little is known about them. We were interested investigating the in planta microbial community composition of actinorhizal root nodules using culture-independent techniques. To address this knowledge gap, 16S rRNA gene amplicon and shotgun metagenomic sequencing was performed on DNA from the nodules of Casuarina glauca. DNA was extracted from C. glauca nodules collected in three different sampling sites in Tunisia, along a gradient of aridity ranging from humid to arid. Sequencing libraries were prepared using Illumina NextEra technology and the Illumina HiSeq 2500 platform. Genome bins extracted from the metagenome were taxonomically and functionally profiled. Community structure based off preliminary 16S rRNA gene amplicon data was analyzed via the QIIME pipeline. Reconstructed genomes were comprised of members of Frankia, Micromonospora, Bacillus, Paenibacillus, Phyllobacterium, and Afipia. Frankia dominated the nodule community at the humid sampling site, while the absolute and relative prevalence of Frankia decreased at the semi-arid and arid sampling locations. Actinorhizal plants harbor similar non-Frankia plant-growth-promoting-bacteria as legumes and other plants. The data suggests that the prevalence of Frankia in the nodule community is influenced by environmental factors, with being less abundant under more arid environments.


2012 ◽  
Vol 159 (3-4) ◽  
pp. 460-469 ◽  
Author(s):  
V.S. Machado ◽  
G. Oikonomou ◽  
M.L.S. Bicalho ◽  
W.A. Knauer ◽  
R. Gilbert ◽  
...  

Genes ◽  
2018 ◽  
Vol 9 (5) ◽  
pp. 231 ◽  
Author(s):  
Ekaterina Avershina ◽  
Inga Angell ◽  
Melanie Simpson ◽  
Ola Storrø ◽  
Torbjørn Øien ◽  
...  

2020 ◽  
Vol 178 ◽  
pp. 115815 ◽  
Author(s):  
Theo Y.C. Lam ◽  
Ran Mei ◽  
Zhuoying Wu ◽  
Patrick K.H. Lee ◽  
Wen-Tso Liu ◽  
...  

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