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1.
Stand Genomic Sci ; 11: 11, 2016.
Article in English | MEDLINE | ID: mdl-26823957

ABSTRACT

The cyanobacterial genus Microcystis is well known as the main group that forms harmful blooms in water. A strain of Microcystis, M. panniformis FACHB1757, was isolated from Meiliang Bay of Lake Taihu in August 2011. The whole genome was sequenced using PacBio RS II sequencer with 48-fold coverage. The complete genome sequence with no gaps contained a 5,686,839 bp chromosome and a 38,683 bp plasmid, which coded for 6,519 and 49 proteins, respectively. Comparison with strains of M. aeruginosa and some other water bloom-forming cyanobacterial species revealed large-scale structure rearrangement and length variation at the genome level along with 36 genomic islands annotated genome-wide, which demonstrates high plasticity of the M. panniformis FACHB1757 genome and reveals that Microcystis has a flexible genome evolution.

2.
Ying Yong Sheng Tai Xue Bao ; 26(11): 3545-53, 2015 Nov.
Article in Chinese | MEDLINE | ID: mdl-26915214

ABSTRACT

The advent of next generation sequencing technology enables parallel analysis of the whole microbial community from multiple samples. Particularly, sequencing 16S rRNA hypervariable tags has become the most efficient and cost-effective method for assessing microbial diversity. Due to its short read length of the 2nd-generation sequencing methods that cannot cover the full 16S rRNA genomic region, specific hypervariable regions or V-regions must be selected to act as the proxy. Over the past decade, selection of V-regions has not been consistent in assessing microbial diversity. Here we evaluated the current strategies of selecting 16S rRNA hypervariable regions for surveying microbial diversity. The environmental condition was considered as one of the important factors for selection of 16S rRNA hypervariable regions. We suggested that a pilot study to test different V-regions is required in bacterial diversity studies based on 16S rRNA genes.


Subject(s)
Genetic Markers , Genome, Microbial , Metagenomics , Phylogeny , RNA, Ribosomal, 16S/genetics , Biodiversity , High-Throughput Nucleotide Sequencing
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