scholarly journals Next-Generation Sequencing of Microbial Communities in the Athabasca River and Its Tributaries in Relation to Oil Sands Mining Activities

2012 ◽  
Vol 78 (21) ◽  
pp. 7626-7637 ◽  
Author(s):  
Etienne Yergeau ◽  
John R. Lawrence ◽  
Sylvie Sanschagrin ◽  
Marley J. Waiser ◽  
Darren R. Korber ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Microbial Communities ◽  
Oil Sands ◽  
Ion Torrent ◽  
Content Type ◽  
Athabasca River ◽  
Fine Tailings ◽  
Oil Sands Mining ◽  
Tailings Ponds ◽  
Generation Sequencing

ABSTRACTThe Athabasca oil sands deposit is the largest reservoir of crude bitumen in the world. Recently, the soaring demand for oil and the availability of modern bitumen extraction technology have heightened exploitation of this reservoir and the potential unintended consequences of pollution in the Athabasca River. The main objective of the present study was to evaluate the potential impacts of oil sands mining on neighboring aquatic microbial community structure. Microbial communities were sampled from sediments in the Athabasca River and its tributaries as well as in oil sands tailings ponds. Bacterial and archaeal 16S rRNA genes were amplified and sequenced using next-generation sequencing technology (454 and Ion Torrent). Sediments were also analyzed for a variety of chemical and physical characteristics. Microbial communities in the fine tailings of the tailings ponds were strikingly distinct from those in the Athabasca River and tributary sediments. Microbial communities in sediments taken close to tailings ponds were more similar to those in the fine tailings of the tailings ponds than to the ones from sediments further away. Additionally, bacterial diversity was significantly lower in tailings pond sediments. Several taxonomic groups ofBacteriaandArchaeashowed significant correlations with the concentrations of different contaminants, highlighting their potential as bioindicators. We also extensively validated Ion Torrent sequencing in the context of environmental studies by comparing Ion Torrent and 454 data sets and by analyzing control samples.

Next-Generation Sequencing Assessment of Eukaryotic Diversity in Oil Sands Tailings Ponds Sediments and Surface Water

2016 ◽  
Vol 63 (6) ◽  
pp. 732-743 ◽  
Author(s):  
Maria Aguilar ◽  
Elisabeth Richardson ◽  
BoonFei Tan ◽  
Giselle Walker ◽  
Peter F. Dunfield ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Surface Water ◽  
Oil Sands ◽  
Next Generation ◽  
Eukaryotic Diversity ◽  
Oil Sands Tailings ◽  
Tailings Ponds ◽  
Oil Sands Tailings Ponds ◽  
Generation Sequencing

Microbial Communities’ Characterization in Urban Recreational Surface Waters Using Next Generation Sequencing

2021 ◽  
Author(s):  
Laura Vega ◽  
Jesús Jaimes ◽  
Duvan Morales ◽  
David Martínez ◽  
Lissa Cruz-Saavedra ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Microbial Communities ◽  
Surface Waters ◽  
Next Generation ◽  
Generation Sequencing

scholarly journals Evaluation of Ion Torrent next-generation sequencing for thalassemia diagnosis

2020 ◽  
Vol 48 (12) ◽  
pp. 030006052096777
Author(s):  
Peisong Chen ◽  
Xuegao Yu ◽  
Hao Huang ◽  
Wentao Zeng ◽  
Xiaohong He ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Ion Torrent ◽  
Next Generation ◽  
Large Deletions ◽  
Different Types ◽  
Variant Detection ◽  
Polymerase Chain ◽  
Next Generation Sequencing Ngs ◽  
Accuracy And Repeatability ◽  
Generation Sequencing

Introduction To evaluate a next-generation sequencing (NGS) workflow in the screening and diagnosis of thalassemia. Methods In this prospective study, blood samples were obtained from people undergoing genetic screening for thalassemia at our centre in Guangzhou, China. Genomic DNA was polymerase chain reaction (PCR)-amplified and sequenced using the Ion Torrent system and results compared with traditional genetic analyses. Results Of the 359 subjects, 148 (41%) were confirmed to have thalassemia. Variant detection identified 35 different types including the most common. Identification of the mutational sites by NGS were consistent with those identified by Sanger sequencing and Gap-PCR. The sensitivity and specificities of the Ion Torrent NGS were 100%. In a separate test of 16 samples, results were consistent when repeated ten times. Conclusion Our NGS workflow based on the Ion Torrent sequencer was successful in the detection of large deletions and non-deletional defects in thalassemia with high accuracy and repeatability.

scholarly journals Draft Genome Sequence of Saccharomyces cerevisiae Strain Awamori Number 101, Commonly Used to Make Awamori, a Traditional Spirit, in Okinawa, Japan

2021 ◽  
Vol 10 (25) ◽  
Author(s):  
Masatoshi Tsukahara ◽  
Kotaro Ise ◽  
Maiko Nezuo ◽  
Haruna Azuma ◽  
Takeshi Akao ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Next Generation Sequencing ◽  
Genome Sequence ◽  
Draft Genome ◽  
Draft Genome Sequence ◽  
Next Generation ◽  
Industrial Strain ◽  
Content Type ◽  
Short Reads ◽  
Generation Sequencing

We report here the draft genome sequence for Saccharomyces cerevisiae strain Awamori number 101, an industrial strain used for producing awamori, a distilled alcohol beverage. It was constructed by assembling the short reads obtained by next-generation sequencing. The 315 contigs constitute an 11.5-Mbp genome sequence coding 6,185 predicted proteins.

scholarly journals Profiling soil microbial communities with next-generation sequencing: the influence of DNA kit selection and technician technical expertise

2017 ◽  
Author(s):  
Taha Soliman ◽  
Sung-Yin Yang ◽  
Tomoko Yamazaki ◽  
Holger Jenke-Kodama
Keyword(s):  
Next Generation Sequencing ◽  
Microbial Communities ◽  
Dna Extraction ◽  
Dna Isolation ◽  
Soil Microbial Communities ◽  
Next Generation ◽  
Microbial Composition ◽  
Okinawa Island ◽  
The Impact ◽  
Generation Sequencing

Structure and diversity of microbial communities are an important research topic in biology, since microbes play essential roles in the ecology of various environments. Different DNA isolation protocols can lead to data bias and can affect results of next-generation sequencing. To evaluate the impact of protocols for DNA isolation from soil samples and also the influence of individual handling of samples, we compared results obtained by two researchers (R and T) using two different DNA extraction kits: (1) MO BIO PowerSoil® DNA Isolation kit (MO_R and MO_T) and (2) NucleoSpin® Soil kit (MN_R and MN_T). Samples were collected from six different sites on Okinawa Island, Japan. For all sites, differences in the results of microbial composition analyses (bacteria, archaea, fungi, and other eukaryotes), obtained by the two researchers using the two kits, were analyzed. For both researchers, the MN kit gave significantly higher yields of genomic DNA at all sites compared to the MO kit (ANOVA; P <0.006). In addition, operational taxonomic units for some phyla and classes were missed in some cases: Micrarchaea were detected only in the MN_T and MO_R analyses; the bacterial phylum Armatimonadetes was detected only in MO_R and MO_T; and WIM5 of the phylum Amoebozoa of eukaryotes was found only in the MO_T analysis. Our results suggest the possibility of handling bias; therefore, it is crucial that replicated DNA extraction be performed by at least two technicians for thorough microbial analyses and to obtain accurate estimates of microbial diversity.

scholarly journals Profiling soil microbial communities with next-generation sequencing: the influence of DNA kit selection and technician technical expertise

2017 ◽  
Author(s):  
Taha Soliman ◽  
Sung-Yin Yang ◽  
Tomoko Yamazaki ◽  
Holger Jenke-Kodama
Keyword(s):  
Next Generation Sequencing ◽  
Microbial Communities ◽  
Dna Extraction ◽  
Dna Isolation ◽  
Soil Microbial Communities ◽  
Next Generation ◽  
Microbial Composition ◽  
Okinawa Island ◽  
The Impact ◽  
Generation Sequencing

Structure and diversity of microbial communities are an important research topic in biology, since microbes play essential roles in the ecology of various environments. Different DNA isolation protocols can lead to data bias and can affect results of next-generation sequencing. To evaluate the impact of protocols for DNA isolation from soil samples and also the influence of individual handling of samples, we compared results obtained by two researchers (R and T) using two different DNA extraction kits: (1) MO BIO PowerSoil® DNA Isolation kit (MO_R and MO_T) and (2) NucleoSpin® Soil kit (MN_R and MN_T). Samples were collected from six different sites on Okinawa Island, Japan. For all sites, differences in the results of microbial composition analyses (bacteria, archaea, fungi, and other eukaryotes), obtained by the two researchers using the two kits, were analyzed. For both researchers, the MN kit gave significantly higher yields of genomic DNA at all sites compared to the MO kit (ANOVA; P <0.006). In addition, operational taxonomic units for some phyla and classes were missed in some cases: Micrarchaea were detected only in the MN_T and MO_R analyses; the bacterial phylum Armatimonadetes was detected only in MO_R and MO_T; and WIM5 of the phylum Amoebozoa of eukaryotes was found only in the MO_T analysis. Our results suggest the possibility of handling bias; therefore, it is crucial that replicated DNA extraction be performed by at least two technicians for thorough microbial analyses and to obtain accurate estimates of microbial diversity.

scholarly journals Next-Generation Sequencing and Bioinformatics Protocol for Malaria Drug Resistance Marker Surveillance

2018 ◽  
Vol 62 (4) ◽  
pp. e02474-17 ◽  
Author(s):  
Eldin Talundzic ◽  
Shashidhar Ravishankar ◽  
Julia Kelley ◽  
Dhruviben Patel ◽  
Mateusz Plucinski ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Next Generation Sequencing ◽  
Deep Sequencing ◽  
Artemisinin Resistance ◽  
The United States ◽  
Imported Malaria ◽  
Chloroquine Resistance ◽  
Next Generation ◽  
Content Type ◽  
Generation Sequencing

ABSTRACT The recent advances in next-generation sequencing technologies provide a new and effective way of tracking malaria drug-resistant parasites. To take advantage of this technology, an end-to-end Illumina targeted amplicon deep sequencing (TADS) and bioinformatics pipeline for molecular surveillance of drug resistance in P. falciparum, called malaria resistance surveillance (MaRS), was developed. TADS relies on PCR enriching genomic regions, specifically target genes of interest, prior to deep sequencing. MaRS enables researchers to simultaneously collect data on allele frequencies of multiple full-length P. falciparum drug resistance genes (crt, mdr1, k13, dhfr, dhps, and the cytochrome b gene), as well as the mitochondrial genome. Information is captured at the individual patient level for both known and potential new single nucleotide polymorphisms associated with drug resistance. The MaRS pipeline was validated using 245 imported malaria cases that were reported to the Centers for Disease Control and Prevention (CDC). The chloroquine resistance crt CVIET genotype (mutations underlined) was observed in 42% of samples, the highly pyrimethamine-resistant dhps IRN triple mutant in 92% of samples, and the sulfadoxine resistance dhps mutation SGEAA in 26% of samples. The mdr1 NFSND genotype was found in 40% of samples. With the exception of two cases imported from Cambodia, no artemisinin resistance k13 alleles were identified, and 99% of patients carried parasites susceptible to atovaquone-proguanil. Our goal is to implement MaRS at the CDC for routine surveillance of imported malaria cases in the United States and to aid in the adoption of this system at participating state public health laboratories, as well as by global partners.

scholarly journals Next-generation sequencing of BRCA1 and BRCA2 genes for rapid detection of germline mutations in hereditary breast/ovarian cancer

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6661 ◽  
Author(s):  
Arianna Nicolussi ◽  
Francesca Belardinilli ◽  
Yasaman Mahdavian ◽  
Valeria Colicchia ◽  
Sonia D’Inzeo ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Sanger Sequencing ◽  
Germline Mutations ◽  
Ion Torrent ◽  
Next Generation ◽  
Training Set ◽  
Brca1 And Brca2 ◽  
Ion Torrent Pgm ◽  
Validation Set ◽  
Generation Sequencing

Background Conventional methods used to identify BRCA1 and BRCA2 germline mutations in hereditary cancers, such as Sanger sequencing/multiplex ligation-dependent probe amplification (MLPA), are time-consuming and expensive, due to the large size of the genes. The recent introduction of next-generation sequencing (NGS) benchtop platforms offered a powerful alternative for mutation detection, dramatically improving the speed and the efficiency of DNA testing. Here we tested the performance of the Ion Torrent PGM platform with the Ion AmpliSeq BRCA1 and BRCA2 Panel in our clinical routine of breast/ovarian hereditary cancer syndrome assessment. Methods We first tested the NGS approach in a cohort of 11 patients (training set) who had previously undergone genetic diagnosis in our laboratory by conventional methods. Then, we applied the optimized pipeline to the consecutive cohort of 136 uncharacterized probands (validation set). Results By minimal adjustments in the analytical pipeline of Torrent Suite Software we obtained a 100% concordance with Sanger results regarding the identification of single nucleotide alterations, insertions, and deletions with the exception of three large genomic rearrangements (LGRs) contained in the training set. The optimized pipeline applied to the validation set (VS), identified pathogenic and polymorphic variants, including a novel BRCA2 pathogenic variant at exon 3, 100% of which were confirmed by Sanger in their correct zygosity status. To identify LGRs, all negative samples of the VS were subjected to MLPA analysis. Discussion Our experience strongly supports that the Ion Torrent PGM technology in BRCA1 and BRCA2 germline variant identification, combined with MLPA analysis, is highly sensitive, easy to use, faster, and cheaper than traditional (Sanger sequencing/MLPA) approaches.

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