Universal 16s rRNA Primers BD1 For Soil Microbial Community Analysis
نویسندگان
چکیده
منابع مشابه
DETECTION OF BACTERIA BY AMPLIFYING THE 16S rRNA GENE WITH UNIVERSAL PRIMERS AND RFLP
Background: There is a conserved portion in the 16S rRNA gene of bacteria which can be amplified by the universal PCR method. This fragment is 996 bp in length. In this method, only one set of universal primers is used for the amplification of the conserved region of the 16S rRNA gene, in common bacterial pathogens. Therefore, using the universal PCR method, these bacteria are detectable on...
متن کاملPhylogenetic clustering of soil microbial communities by 16S rRNA but not 16S rRNA genes.
We evaluated phylogenetic clustering of bacterial and archaeal communities from redox-dynamic subtropical forest soils that were defined by 16S rRNA and rRNA gene sequences. We observed significant clustering for the RNA-based communities but not the DNA-based communities, as well as increasing clustering over time of the highly active taxa detected by only rRNA.
متن کاملPCR Amplification, Sequencing of 16S rRNA Genes with Universal Primers and Phylogenetic Analysis of Pseudomonas aeruginosa
Pseudomonas aeruginosa is a gram negative bacterium isolated from soil. The isolate was cultured in a selective medium (Pseudomonas Agar base) at 37oC for 24 hours. For species identification, Pseudomonas like organisms creates lot of problems when identified with the help of morphological and biochemical characters. However, sequencing of 16S rRNA region is a suitable technique for species ide...
متن کاملdetection of bacteria by amplifying the 16s rrna gene with universal primers and rflp
background: there is a conserved portion in the 16s rrna gene of bacteria which can be amplified by the universal pcr method. this fragment is 996 bp in length. in this method, only one set of universal primers is used for the amplification of the conserved region of the 16s rrna gene, in common bacterial pathogens. therefore, using the universal pcr method, these bacteria are detectable only b...
متن کاملAdvanced computational algorithms for microbial community analysis using massive 16S rRNA sequence data
With the aid of next-generation sequencing technology, researchers can now obtain millions of microbial signature sequences for diverse applications ranging from human epidemiological studies to global ocean surveys. The development of advanced computational strategies to maximally extract pertinent information from massive nucleotide data has become a major focus of the bioinformatics communit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ecological genetics
سال: 2006
ISSN: 2411-9202,1811-0932
DOI: 10.17816/ecogen4432-37