Revealing the compositions of the intestinal microbiota of three Anguillid eel species using 16S rDNA sequencing

Colorectal cancer (CRC) is the second most commonly diagnosed cancer and the third cause of cancer death in the world, while intestinal microbiota is a community of microbes living in human intestine that can potentially impact human health in many ways. Accumulating evidence suggests that intestinal microbiota, especially that from the intestinal bacteria, play a key role in the CRC development; therefore, identification of bacteria involved in CRC development can provide new targets for the CRC diagnosis, prevention, and treatment. Over the past decade, there have been considerable advances in applying 16S rDNA sequencing data to verify associated intestinal bacteria in CRC patients; however, due to variations of individual and environment factors, these results seem to be inconsistent. In this review, we scrutinized the previous 16S rDNA sequencing data of intestinal bacteria from CRC patients, and identified twelve genera that are specifically enriched in the tumor microenvironment. We have focused on their relationship with the CRC development, and shown that some bacteria could promote CRC development, acting as foes, while others could inhibit CRC development, serving as friends, for human health. Finally, we highlighted their potential applications for the CRC diagnosis, prevention, and treatment.

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Effects of transport stress on fecal microbiota in healthy donkeys

10.21203/rs.2.12635/v1 ◽

2019 ◽

Author(s):

Guimiao Jiang ◽

Xinhao Zhang ◽

Weiping Gao ◽

Peixiang Feng ◽

Tao Wang ◽

...

Keyword(s):

16S Rdna ◽

Intestinal Microbiota ◽

Fecal Microbiota ◽

16S Rdna Sequencing ◽

Long Distance ◽

Intestinal Diseases ◽

Rdna Sequencing ◽

Before And After ◽

Transport Stress ◽

Bacterial Richness

Abstract Background: With the development of large-scale donkey farming in China, long-distance transportation has become a common practice, and the incidence of intestinal diseases after transportation has increased. Intestinal microbiota is important for health and disease, and whether transportation disturbs donkey intestinal microbiota has not been investigated. This study aims to determine the effects of transportation on the fecal microbiota of healthy donkeys using 16S rDNA sequencing. Results: Fecal samples were collected from the rectum of 12 Dezhou donkeys before and after transportation. Results show that long-distance transportation can induce severe stress in donkeys and result in significantly lower level of bacterial richness index compared with that before transport (p=0.042) without distinct changes in diversity. This marked decrease in specific bacterial richness, such as for Eubacterium, Streptococcus, and Coriobacteriaceae, might be associated with the restricted synthesis of anti-inflammatory cytokines and metabolites, such as short chain fatty acids (SCFAs) that potentially contribute to disease development after the transport. Conclusions: Further studies are required to understand the potential effect of these microbiota changes on the development of donkey intestinal diseases. Preventative and therapeutic measures for donkeys before and after transportation should focus on providing diverse and rich bacterial microbiota and probiotic flora. Keywords: Transport stress, Donkeys, Fecal microbiota, 16S rDNA sequencing

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The effect of age and non-steroidal anti-inflammatory drugs on human intestinal microbiota composition

British Journal Of Nutrition ◽

10.1017/s0007114509991553 ◽

2009 ◽

Vol 103 (2) ◽

pp. 227-234 ◽

Cited By ~ 132

Author(s):

Harri Mäkivuokko ◽

Kirsti Tiihonen ◽

Soile Tynkkynen ◽

Lars Paulin ◽

Nina Rautonen

Keyword(s):

Young Adults ◽

16S Rdna ◽

Intestinal Microbiota ◽

The Elderly ◽

Elderly Subjects ◽

16S Rdna Sequencing ◽

Human Intestinal Microbiota ◽

Rdna Sequencing ◽

Inflammatory Drugs ◽

Anti Inflammatory

Ageing has been suggested to cause changes in the intestinal microbial community. In the present study, the microbiota of a previously well-defined group of elderly subjects aged between 70 and 85 years, both non-steroidal anti-inflammatory drugs (NSAID) users (n9) and non-users (n9), were further compared with young adults (n14) with a mean age of 28 years, by two DNA-based techniques: percentage guanine+cytosine (%G+C) profiling and 16S rDNA sequencing. Remarkable changes in microbiota were described with both methods: compared with young adults a significant reduction in overall numbers of microbes in both elderly groups was measured. Moreover, the total number of microbes in elderly NSAID users was higher than in elderly without NSAID. In 16S rDNA sequencing, shifts in all major microbial phyla, such as lower numbers of Firmicutes and an increase in numbers of Bacteroidetes in the elderly were monitored. On the genus level an interesting link between reductions in the proportion of known butyrate producers belonging toClostridiumcluster XIVa, such asRoseburiaandRuminococcus, could be demonstrated in the elderly. Moreover, in the Actinobacteria group, lower numbers ofCollinsellaspp. were evident in the elderly subjects with NSAID compared both with young adults and the elderly without NSAID, suggesting that the use of NSAID along with age may also influence the composition of intestinal microbiota. Furthermore, relatively high numbers ofLactobacillusappeared only in the elderly subjects without NSAID. In general, the lowered numbers of microbial members in the major phyla, Firmicutes, together with changes in the epithelial layer functions can have a significant effect on the colon health of the elderly.

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Metabolite fingerprinting of novel Streptomyces UK-238 from the Himalayan forest

Current Pharmaceutical Analysis ◽

10.2174/1573412916666200206160836 ◽

2020 ◽

Vol 16 ◽

Author(s):

Nidhi Srivastava ◽

Indira P. Sarethy

Keyword(s):

Ethyl Acetate ◽

16S Rdna ◽

Retention Index ◽

Ethyl Acetate Extract ◽

Similarity Index ◽

Antimicrobial Drug ◽

16S Rdna Sequencing ◽

Metabolite Fingerprinting ◽

Streptomyces Sp ◽

Rdna Sequencing

Aims: Characterization of antimicrobial metabolites of novel Streptomyces sp. UK-238. Background: Novel antimicrobial drug discovery is urgently needed due to emerging multi antimicrobial drug resistance among pathogens. Since many years, natural products have provided the basic skeletons for many therapeutic compounds including antibiotics. Bioprospection of un/under explored habitats and focussing on selective isolation of actinobacteria as major reservoir of bio and chemodiversity has yielded good results. Objective: The main objectives of the study were the identification of UK-238 by 16S rDNA sequencing and antimicrobial metabolite fingerprinting of culture extracts. Method: In the present study, a promising isolate, UK-238, has been screened for antimicrobial activity and metabolite fingerprinting from the Himalayan Thano Reserve forest. It was identified by 16S rDNA sequencing. Ethyl acetate extract was partially purified by column chromatography. The pooled active fractions were fingerprinted by GC-MS and compounds were tentatively identified by collated data analysis based on Similarity Index, observed Retention Index from Databases and calculated Retention Index. Results: UK-238 was identified as Streptomyces sp. with 98.4% similarity to S. niveiscabiei. It exhibited broad-spectrum antibacterial and antifungal activity. GC-MS analysis of active fractions of ethyl acetate extract showed the presence of eighteen novel antimicrobial compounds belonging to four major categories- alcohols, alkaloid, esters and peptide. Conclusion: The study confirms that bioprospection of underexplored habitats can elaborate novel bio and chemodiversity.

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2-Way k-Means as a Model for Microbiome Samples

Journal of Healthcare Engineering ◽

10.1155/2017/5284145 ◽

2017 ◽

Vol 2017 ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Weston J. Jackson ◽

Ipsita Agarwal ◽

Itsik Pe’er

Keyword(s):

Unsupervised Learning ◽

16S Rdna ◽

Mixture Model ◽

Vaginal Microbiome ◽

16S Rdna Sequencing ◽

Sequencing Data ◽

Cluster Assignment ◽

Rdna Sequencing

Motivation. Microbiome sequencing allows defining clusters of samples with shared composition. However, this paradigm poorly accounts for samples whose composition is a mixture of cluster-characterizing ones and which therefore lie in between them in the cluster space. This paper addresses unsupervised learning of 2-way clusters. It defines a mixture model that allows 2-way cluster assignment and describes a variant of generalized k-means for learning such a model. We demonstrate applicability to microbial 16S rDNA sequencing data from the Human Vaginal Microbiome Project.

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Evaluation of MALDI-TOF mass spectrometry and MALDI BioTyper in comparison to 16S rDNA sequencing for the identification of bacteria isolated from Arctic sea water

PLoS ONE ◽

10.1371/journal.pone.0181860 ◽

2017 ◽

Vol 12 (7) ◽

pp. e0181860 ◽

Cited By ~ 19

Author(s):

Anna Maria Timperio ◽

Susanna Gorrasi ◽

Lello Zolla ◽

Massimiliano Fenice

Keyword(s):

Mass Spectrometry ◽

16S Rdna ◽

Sea Water ◽

16S Rdna Sequencing ◽

Maldi Tof Mass Spectrometry ◽

Maldi Tof ◽

Rdna Sequencing ◽

Arctic Sea ◽

Maldi Biotyper ◽

Identification Of Bacteria

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Analysis of the bacterial floral structure and diversity of Xuanwei ham by 16S rDNA sequencing

Journal of Food Safety ◽

10.1111/jfs.12800 ◽

2020 ◽

Vol 40 (4) ◽

Author(s):

Luying Shan ◽

Yinjiao Li ◽

Shi Zheng ◽

Yuanmiao Wei ◽

Ying Shang

Keyword(s):

16S Rdna ◽

16S Rdna Sequencing ◽

Floral Structure ◽

Rdna Sequencing

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ISOLATION, PURIFICATION, AND CHARACTERIZATION OF LIPASE FROM BACILLUS SP. FROM KITCHEN GREASE

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2018.v11i6.24955 ◽

2018 ◽

Vol 11 (6) ◽

pp. 224

Author(s):

Jaiganesh R ◽

Jaganathan Mk

Keyword(s):

16S Rdna ◽

Solvent Tolerance ◽

16S Rdna Sequencing ◽

Bacillus Sp ◽

Purification And Characterization ◽

Lipase Enzyme ◽

Sequencing Method ◽

Rdna Sequencing ◽

Solvent Tolerant

Objective: The objective of this work was to isolation, purification and characterization of solvent tolerant lipase from Bacillus sp. The objective of this work was to isolation, purification and characterization of solvent tolerant lipase from Bacillus sp. from kitchen grease for a variety of applications including organic synthetic reactions and preparation of enantiomerically pure pharmaceuticals.Methods: Lipase producing isolates were screened from kitchen grease on a selective medium rhodamine B olive oil agar, and tributyrin agar was used to screen the lipase and esterase producing an organism, respectively. The isolate identified using 16S rDNA sequencing method and enzyme activity was quantitatively assayed. Lipase production was characterized in different conditions.Results: The isolate showed highest lipase activity was which later was identified as Bacillus sp. using 16S rDNA sequencing method. The lipase was purified using ammonium sulfate precipitation. The isolate showed excellent tolerance to methanol, ethanol, acetonitrile, and moderate tolerance to butanol. The increased biomass concentration, maximum production, and activity were achieved at 37°C in 24 h incubation, then gradual reduction in production was observed. The maximum activity of lipase enzyme was obtained at pH between 6 and 9.Conclusion: The isolate produce solvent tolerance lipase enzyme and it can be a promising candidate of solvent tolerance lipase enzyme for variety of industrial applications.

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