scholarly journals Gut Microbiome of Two Different Honeybee Workers Subspecies In Saudi Arabia.

2021 ◽  
Vol 17 (4) ◽  
pp. 659-671
Author(s):  
Marfat Alatawy ◽  
Sanaa G. Al-Attas ◽  
Ahmad I. Assagaf ◽  
Rashad R. Al-Hindi ◽  
Khalid M. Alghamdi ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
16S Rrna ◽  
Gut Microbiome ◽  
16S Rrna Gene Sequencing ◽  
Vital Role ◽  
Rrna Gene ◽  
Microbiome Diversity ◽  
Rrna Gene Sequencing ◽  
Honeybee Subspecies ◽  
Different Origins

Honeybees play a vital role in the world’s food supply by acting as essential pollinators in the agricultural fields. Interestingly, more than one third of the world’s essential crops are honeybee’s dependant. The adult honeybeeworkers harbour a simple specific bacterial spectrum in their guts with vital role in bees’ health. Gut microbial diversity of adult honeybee workerswasstudied through targeting the V3 and V4 regions of the 16S rRNA geneviaIllumina MiSeq. The study identified four phyla of the gut microbiomesinadult workersof the two-honeybee subspecies A.m. jemeniticaandA.m. carnica. The most abundant phylum in microbiome of A.m. jemeniticawasFirmicutes (48%), while Protobacteria and Actinobacteriaphylawere less abundantat figures of31% and 10%, respectively. In microbiome of A.m. carnica,Firmicutes (57%) was also the most dominant phylum, while Protobacteria and Actinobacteria had lower prevalence at figures of 31% and 10%, respectively. At genus level, adult honeybee workers harboured a number ofLactobacillus spp.in their guts with relative abundance of 80% in A.m. jemeniticaworkers compared to52%forA.m. carnicaworkers.Up toour knowledge, this is the first study of its kind on gut microbiome diversity inhoneybee workersof different origins conducted in Saudi Arabia using high-throughput 16S rRNA gene sequencing technology. The results indicatedthat the variability inmonophyletic origin of host of honeybee workers affectedgut microbiota composition.

scholarly journals Correction: 16S rRNA gene sequencing and healthy reference ranges for 28 clinically relevant microbial taxa from the human gut microbiome

PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0212474 ◽  
Author(s):  
Daniel E. Almonacid ◽  
Laurens Kraal ◽  
Francisco J. Ossandon ◽  
Yelena V. Budovskaya ◽  
Juan Pablo Cardenas ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gut Microbiome ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Reference Ranges ◽  
Human Gut ◽  
Human Gut Microbiome ◽  
Rrna Gene Sequencing

scholarly journals The Effect of Xuebijing on the Gut Microbiota and Metabolic of Heat 1 Stroke Rat 2

2021 ◽  
Author(s):  
Qiang wen ◽  
Xuan He ◽  
Yu Shao ◽  
Lun Peng ◽  
Li Zhao ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gut Microbiome ◽  
Heat Stroke ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Control Group ◽  
Rrna Gene ◽  
Metabolism Pathway ◽  
Rrna Gene Sequencing

Abstract The goal of the present study was to evaluate the fecal microbiome and serum metabolites in 16 Xuebijing (XBJ)-injected rats after heat stroke using 16S rRNA gene sequencing and gas chromatography-mass spectrometry (GC-MS) metabolomics. Eighteen rats were divided into the control group (CON), heat stroke group (HS), and XBJ group. The 16S rRNA gene sequencing results revealed that the abundance of Bacteroidetes was overrepresented in the XBJ group compared to the HS group, while Actinobacteria was underrepresented. Metabolomic profiling showed that the pyrimidine metabolism pathway, pentose phosphate pathway, and glycerophospholipid metabolism pathway were upregulated in the XBJ group compared to the HS group. Taken together, these results demonstrated that heat stroke not only altered the gut microbiome community structure of rats but also greatly affected metabolic functions, leading to gut microbiome toxicity.

scholarly journals Covariation of the gut microbiome with diet in Aves

2020 ◽  
Author(s):  
Kangpeng Xiao ◽  
Yutan Fan ◽  
Zhipeng Zhang ◽  
Xuejuan Shen ◽  
Xiaobing Li ◽  
...  
Keyword(s):  
Gut Microbiome ◽  
Dietary Diversity ◽  
Basal Diet ◽  
16S Rrna Gene Sequencing ◽  
Vital Role ◽  
Rrna Gene ◽  
Host Interactions ◽  
Multiple Factors ◽  
The Past ◽  
Rrna Gene Sequencing

Abstract Background:Research over the past few decades has revealed a vital role for the gut microbiome in the health of various animals including birds. Multiple factors can influence the gut microbiome. Opportunistic feeding and multiple other environment factors can influence the results, and bias the conclusions, when wild animals are used to study the influence of phylogeny and diet on their gut microbiomes. Therefore, to study this question in this study, we collected fecal samples from 43 species of Aves at one time to avoid influences such as geography, weather, and season. Results:Approaches based on both 16S rRNA gene sequencing (135 samples) and whole metagenome shotgun sequencing (17 samples) were used. Our data show that diets containing native starch will increase the abundance of Lactobacillus in gut microbiome, while those containing plant-derived fiber will mainly enrich the levels of Clostridium. Greater numbers of Fusobacteria and Proteobacteria are detected in carnivorous birds, while in birds fed a commercial corn-soybean basal diet, a stronger inner-connected microbial community containing Clostridia and Bacteroidia was enriched. Furthermore, a microbial functional analysis based on the metagenomic sequences showed that the function of microbes was adapted to different food types to achieve the most beneficial state for the hosts. Conclusions:The covariation of diet and gut microbiome identified in our study demonstrates modulation of the gut microbiome by dietary diversity and expands our knowledge of diet-microbiome-host interactions in birds.

scholarly journals 16S rRNA gene sequencing and healthy reference ranges for 28 clinically relevant microbial taxa from the human gut microbiome

PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0176555 ◽  
Author(s):  
Daniel E. Almonacid ◽  
Laurens Kraal ◽  
Francisco J. Ossandon ◽  
Yelena V. Budovskaya ◽  
Juan Pablo Cardenas ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gut Microbiome ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Reference Ranges ◽  
Human Gut ◽  
Human Gut Microbiome ◽  
Rrna Gene Sequencing

scholarly journals Influence of fecal collection conditions and 16S rRNA gene sequencing protocols at two centers on human gut microbiota analysis

2017 ◽  
Author(s):  
Jocelyn Sietsma Penington ◽  
Megan A S Penno ◽  
Katrina M Ngui ◽  
Nadim J Ajami ◽  
Alexandra J Roth-Schulze ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gut Microbiome ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Multicenter Studies ◽  
16S Rrna Analysis ◽  
The Usa ◽  
Rrna Gene Sequencing

AbstractBackgroundTo optimise fecal sampling and analysis yielding reproducible microbiome data, and gain further insight into sources of its variation, we compared different collection conditions and 16S rRNA gene sequencing protocols in two centers. Fecal samples were collected on three sequential days from six healthy adults and placed in commercial collection tubes (OMNIgeneGut OMR-200) at room temperature or in sterile 5 ml screw-top tubes in a home fridge or home freezer for 6-24 h, before transfer at 4°C to the laboratory and storage at - 80°C within 24 hours. Replicate samples were shipped on dry ice to centers in Australia and the USA for DNA extraction and sequencing of the V4 region of the 16S rRNA gene, using different PCR protocols. Sequences were analysed with the QIIME pipeline and Greengenes database at the Australian center and with an in-house pipeline and SILVA database at the USA center.ResultsVariation in gut microbiome composition and diversity was dominated by differences between individuals. Minor differences in the abundance of taxa were found between collection-processing methods and day of collection. Larger differences were evident between the two centers, including in the relative abundances of genus Akkermansia, in phylum Verrucomicrobiales, and Bifidobacteria in Actinobacteria.ConclusionsCollection with storage and transport at 4°C within 24 h is adequate for 16S rRNA analysis of the gut microbiome. However, variation between sequencing centers suggests that cohort samples should be sequenced by the same method in one center. Differences in handling, shipping and methods of PCR gene amplification and sequence analysis in different centers introduce variation in ways that are not fully understood. These findings are particularly relevant as microbiome studies shift towards larger population-based and multicenter studies.

scholarly journals 16S rRNA Gene Sequencing for Deciphering the Colorectal Cancer Gut Microbiome: Current Protocols and Workflows

2018 ◽  
Vol 9 ◽  
Author(s):  
Muhammad-Afiq Osman ◽  
Hui-min Neoh ◽  
Nurul-Syakima Ab Mutalib ◽  
Siok-Fong Chin ◽  
Rahman Jamal
Keyword(s):  
Colorectal Cancer ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Gut Microbiome ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Rrna Gene Sequencing
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