scholarly journals Metagenomic Analysis of the Gut Bacteriome of Usherhopper, Poekilocerus bufonius (Klug) from Hadda, Saudi Arabia

Author(s):  
Nabih A. Baeshen ◽  
Mazen A. Majeed ◽  
Mohammed Abdullah T Alotaibi ◽  
Mohamed Hamed Alnefai ◽  
Aala A. Abulfaraj ◽  
...  

Abstract Background:Microbial communities that colonize insect guts contribute positively to the absorption of nutrients, immunity and the overall health of the host. Recent studies have been tapered towards only economically important arthropods, particularly honeybees. On the other hand, arthropods such as grasshoppers are considered as pests because they create havoc leading to economic losses. Grasshoppers are considered phytophagous pests that have a large appetite for plant fibers, whose digestion depend largely on the bacterial communities in their guts. This study characterises the gut microbiome in Usherhopper, Poekilocerus bufonius using the metagenomics methods through the next generation sequencing (NGS). Results:A total of 59,072,222 bacterial reads were recorded which were classified into phylum and genus levels. Proteobacteria were the most shared at the phylum-level whereas Wolbachia were the most dominant genera based on the total reads. Conclusions: The host-microbiome interactions and their perceived influence on the ecosystem are yet to be fully explained, therefore a detailed study is pivotal in order to enforce effective conservation and pest management.

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Tamar Dickerson ◽  
Jonathan L. Jacobs ◽  
Nicole Waybright ◽  
Danielle Swales ◽  
Peggy Lowary ◽  
...  

Antimicrobial resistance (AMR) is recognized as a severe threat to human and animal health worldwide, yet relatively little is known regarding the bioavailability of AMR genes in airborne microbial communities. Hence, the objective of our study is to use next generation sequencing (NGS) to assess the temporal dynamics of airborne bacterial communities as well as functional metagenomics to investigate the dispersion of AMR genes present within them.


2021 ◽  
Vol 63 (2) ◽  
pp. 97-111
Author(s):  
Marta Siebyła ◽  
Iwona Szyp-Borowska

Abstract In this study, we examined the effect of the presence of mycorrhiza and ascomata of summer truffle (Tuber aestivum) on the bacterial composition of roots from small trees growing in selected sites of the Nida Basin. Qualitative DNA sequencing methods such as Sanger and next-generation sequencing (NGS) were used. The Sanger method revealed different bacterial species compositions between the samples where summer truffle ascomata was recorded and control samples. Five genera of bacteria could be distinguished: Bacillus, Erwinia, Pseudomonas, Rahnella and Serratia, among which the most numerous were Pseudomonas (Gammmaproteobacteria class) at 32.9%. The results obtained by the NGS method also showed differences in species composition of the bacteria depending on the study sample. Seven genera of bacteria were distinguished: Rhizorhabdus, Methylotenera, Sphingomonas, Nitrosospira, Streptomyces, Methyloceanibacter and Niastella, which dominated in roots from the truffle sites. Telmatobacter, Roseiarcus, Granulicella, Paludibaculum, Acidipila, Acidisphaera and Aliidongia dominated in roots from the control sites. With the NGS method, it is possible to identify the microbiome of a whole root, while only a root fragment can be analysed by the Sanger method. These results extend the scope of knowledge on the preferences of certain groups of bacteria associated with truffles and their influence on the formation of ascomata in summer truffles. Our results may also be useful in selecting and monitoring sites that promote ascomata of Tuber aestivum.


Author(s):  
Altuğ Koç ◽  
Elçin Bora ◽  
Tayfun Cinleti ◽  
Gizem Yıldız ◽  
Meral Torun Bayram ◽  
...  

2020 ◽  
Vol 16 ◽  
Author(s):  
Pelin Telkoparan-Akillilar ◽  
Dilek Cevik

Background: Numerous sequencing techniques have been progressed since the 1960s with the rapid development of molecular biology studies focusing on DNA and RNA. Methods: a great number of articles, book chapters, websites are reviewed, and the studies covering NGS history, technology and applications to cancer therapy are included in the present article. Results: High throughput next-generation sequencing (NGS) technologies offer many advantages over classical Sanger sequencing with decreasing cost per base and increasing sequencing efficiency. NGS technologies are combined with bioinformatics software to sequence genomes to be used in diagnostics, transcriptomics, epidemiologic and clinical trials in biomedical sciences. The NGS technology has also been successfully used in drug discovery for the treatment of different cancer types. Conclusion: This review focuses on current and potential applications of NGS in various stages of drug discovery process, from target identification through to personalized medicine.


Diagnostics ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 962
Author(s):  
Dario de Biase ◽  
Matteo Fassan ◽  
Umberto Malapelle

Next-Generation Sequencing (NGS) allows for the sequencing of multiple genes at a very high depth of coverage [...]


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