Ruan, Q., Dutta, D., Schwalbach, M.S., Steele, J.A., Fuhrman, J.A. and Sun, F. (2006) Local Similarity Analysis Reveals Unique Associations among Marine Bacterioplankton Species and Environmental Factors. Bioinformatics, 22, 2532-2538.
http://dx.doi.org/10.1093/bioinformatics/btl417

has been cited by the following article:

• TITLE: Bacterial Community Structure and Diversity of Closely Located Coastal Areas

  AUTHORS: Md. Nurul Haider, Masahiko Nishimura, Kazuhiro Kogure

  KEYWORDS: Coastal Bacteria, Community Structure, Diversity, High-Throughput Sequencing, Roche 454

  JOURNAL NAME: Open Journal of Marine Science, Vol.6 No.3, July 28, 2016

  ABSTRACT: Bacterial community structure and diversity of two closely located stations are usually considered similar which can be verified by more intensive investigations using relatively large amount of datasets from the next generation sequencer. This study was conducted to assess the bacterial community structure and diversity between two closely located coastal stations, the port side and the sea side of the Oarai, Ibaraki, Japan from March 2013 to July 2014 using 454 GS Junior sequencer.Twostations underwent similar changes in physicochemical properties but the community structure and diversity was different. The Proteobacteria (the class Alphaproteobacteria, followed by the Gammaproteobacteria) and the Bacteroidetes (the class Flavobacteriia) were two abundant phyla in both the stations. But, the Flavobacteriia was more abundant in the port side, contributed about 26% to 48%, compared to the sea side (about 12% to 39%). Conversely, the relative abundance of the Gammaproteobacteria was higher on the sea side, about 10% to 17%, compared to the port side (about 4% to 12%). Among others, the phyla Cyanobacteria, Deferribacteres, Verrucomicrobia and the class Betaproteobacteria were also relatively abundant at thesea side. Because of their dominancy, the class Flavobacteriia and Alphaproteobacteria were furtheranalysed at a lower phylogenetic level and marked differences were observed between the stations.Bacterial biodiversity in terms of the species richness (Chao index) and evenness (inverse Simpson) indicated higher patterns of diversity in the sea side area compared to the port side. Non-metricMultidimensional Scaling fitting with the environmental features (metaMDS), redundancy analysis (RDA) and Bray-Curtis clustering analysis also showed marked differences in bacterialcommunitystructure and diversity between the stations. However, some OTUs were commonly found in both the stations in all the sampling periods.So, the bacterial community structure and diversity of the coastal areas are distinguishable even between two closely located sampling points.