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1.
Extremophiles ; 17(5): 851-9, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23881259

ABSTRACT

New strains of sulfate-reducing bacteria were isolated from two alkaline brackish lakes located in the Siberian region of Russia, namely in the Southern Transbaikalia, Buriatia. The article presents data describing morphology, physiology, and biochemical characteristics of the isolated strains. These strains Ki4, Ki5, and Su2 were mesophilic and alkaliphilic with optimal growth at pH 8.9, 9.4, and 10.0, respectively. All isolated strains utilized lactate, formate, and ethanol in the presence of sulfate for growth and sulfidogenesis accompanied with formation of acetate and CO2. Strains Ki5 and Su2 were able to reduce Fe(III). The DNA G + C content in strains Ki4, Ki5 and Su2 was 56.3, 48.8 and 59.6 mol%, respectively. According to phylogenetic analysis of 16S rRNA sequences, the new strains were clustered within the genus Desulfonatronum, and the closest relative D. lacustre Z-7951(T) (=DSM 10312(T)) showed 99.3-99.6 % similarity. DNA-DNA relatedness values of the strains Ki4, Ki5, and Su2 with D. lacustre Z-7951(T) were 89, 53, and 79 %, respectively. Polyphasic taxonomy data suggest that strain Ki5(T) is representative of the proposed novel species Desulfonatronum buryatense sp. nov.


Subject(s)
Deltaproteobacteria/isolation & purification , Lakes/microbiology , Sulfates/metabolism , Alkalies/metabolism , DNA, Bacterial/chemistry , Deltaproteobacteria/classification , Deltaproteobacteria/genetics , Deltaproteobacteria/metabolism , Ethanol/metabolism , Formates/metabolism , Lactic Acid/metabolism , Phylogeny , RNA, Ribosomal, 16S/genetics , Siberia
2.
Clin Chem Lab Med ; 51(6): 1141-54, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23023923

ABSTRACT

Rapidly developing next-generation sequencing (NGS) technologies produce a large amount of data across the whole human genome and allow a large number of DNA samples to be analyzed simultaneously. Screening cell-free fetal DNA (cffDNA) obtained from maternal blood using NGS technologies has provided new opportunities for non-invasive prenatal diagnosis (NIPD) of fetal aneuploidies. One of the major challenges to the analysis of fetal abnormalities is the development of accurate and reliable algorithms capable of analyzing large numbers of short sequence reads. Several such algorithms have recently been developed. Here, we provide a review of recent NGS-based NIPD methods as well as the available algorithms for short-read sequence analysis. We furthermore introduce the practical application of these algorithms for the detection of different types of fetal aneuploidies, and compare the performance, cost and complexity of each approach for clinical deployment. Our review identifies several main technologies and trends in NGS-based NIPD. The main considerations for clinical development for NIPD and screening tests using DNA sequencing are: accuracy, intellectual property, cost and the ability to screen for a wide range of chromosomal abnormalities and genetic defects. The cost of the diagnostic test depends on the sequencing method, diagnostic algorithm and volume of the tests. If the cost of sequencing equipment and reagents remains at or around current levels, targeted approaches for sequencing-based aneuploidy testing and SNP-based methods are preferred.


Subject(s)
Aneuploidy , DNA/blood , Genetic Testing/methods , Prenatal Diagnosis/methods , Sequence Analysis, DNA/methods , Algorithms , Female , Humans , Pregnancy
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