Literature DB >> 26305368

Cyanobacterial KnowledgeBase (CKB), a Compendium of Cyanobacterial Genomes and Proteomes.

Arul Prakasam Peter1, Karthick Lakshmanan1, Shylajanaciyar Mohandass1, Sangeetha Varadharaj1, Sivasudha Thilagar2, Kaleel Ahamed Abdul Kareem3, Prabaharan Dharmar1, Subramanian Gopalakrishnan1, Uma Lakshmanan1.   

Abstract

Cyanobacterial KnowledgeBase (CKB) is a free access database that contains the genomic and proteomic information of 74 fully sequenced cyanobacterial genomes belonging to seven orders. The database also contains tools for sequence analysis. The Species report and the gene report provide details about each species and gene (including sequence features and gene ontology annotations) respectively. The database also includes cyanoBLAST, an advanced tool that facilitates comparative analysis, among cyanobacterial genomes and genomes of E. coli (prokaryote) and Arabidopsis (eukaryote). The database is developed and maintained by the Sub-Distributed Informatics Centre (sponsored by the Department of Biotechnology, Govt. of India) of the National Facility for Marine Cyanobacteria, a facility dedicated to marine cyanobacterial research. CKB is freely available at http://nfmc.res.in/ckb/index.html.

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Year:  2015        PMID: 26305368      PMCID: PMC4549288          DOI: 10.1371/journal.pone.0136262

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Cyanobacteria comprise over 1,600 species with various morphologies and species-specific characteristics, such as cell movement, cell differentiation, and nitrogen fixation [1]. These are the only known oxygenic photosynthetic prokaryotic organisms that inhabit a wide range of ecological habitats (e.g., extreme cold, extreme hot, marine, fresh water, and terrestrial) and exhibit symbiotic associations with other living organisms. These primitive oxygenic Gram negative bacteria are widely used as a valuable model to study the mechanism of carbon fixation and helpful for evolutionary biologists to understand the endosymbiotic theory, as they are considered as the origin of chloroplast. Since these ancient life forms play a major role in many biogeochemical cycles of the global ecological system, they serve as a study material in diverse fields of life-science research [2]. Cyanobacteria are well-known for the formation of toxic cyanobacterial water blooms in freshwater, brackish and coastal marine ecosystems, which are of vital ecological and human health concerns [3]. However, in recent times, these organisms have captured the attention of the researchers worldwide because of their capability of producing prolific bioactive natural products as secondary metabolites, which are of great economic and medical value [4-6]. The National Facility for Marine Cyanobacteria (Sponsored by the Department of Biotechnology, Govt. of India) is dedicated to cyanobacterial research, especially marine cyanobacteria. One of the principal foci of the facility is to build a dedicated knowledge base for cyanobacteria. The increasing number of completely sequenced cyanobacterial genomes provides wide opportunities for understanding the metabolic organization of the cyanobacterial species in diverse environments. Here we introduce the Cyanobacterial KnowldegeBase (CKB), a freely accessible, comprehensive database resource covering information pertaining to 74 completely sequenced cyanobacterial species. The database also includes an informative tool called cyanoBLAST, which helps in comparative analysis between cyanobacterial genomes and the genomes of pro- and eu-karyote, such as E. coli and Arabidopsis.

Results and Discussion

Organisms

Seventy-four fully sequenced genomes of seven orders are currently included in the CKB database. This comprises 12 species of Chroococcales, 1 of Chroococcidiopsidales, 2 of Gloeobacteriales, 12 of Nostocales, 7 of Oscillatoriales, 2 of Pleurocapsales and 38 of Synechococcales. The web user interface of CKB is shown in (Fig 1) and the complete list of the species exists in the CKB is given in Table 1.
Fig 1

CKB web interface.

Table 1

Order wise complete list of species mentioned in CKB.

The table provides information related to order, Morphology (Morph.-U: Unicellular, F: Filamentous and F,H: Filamentous Heterocystous), number of chromosomes (Chr.), number of plasmids (Pla.), genome size (Size, MB), GC %, the number of genes (Genes), number of proteins (Proteins), and Biological Resource Centers (BRCs) from which live specimens can be available for each species.

OrderOrganismMorph.Chr.Pla.Size, MBGC %GenesProteinsBRCs
Chroococcales Cyanobacterium aponinum PCC 10605U104.7260.545624507 PCC
Cyanobacterium stanieri PCC 7202U104.666244824430 PCC
Cyanothece sp. ATCC 51142U167.0638.862585838 ATCC
Cyanothece sp. PCC 7424U235.3138.147974511 PCC
Cyanothece sp. PCC 7425U237.1141.458135710 ATCC; PCC
Cyanothece sp. PCC 7822U136.9639.858415535 PCC
Cyanothece sp. PCC 8801U107.0242.262505950 PCC
Cyanothece sp. PCC 8802U137.6142.267386229 PCC
Dactylococcopsis salina PCC 8305U125.4938.353803651 PCC
Gloeocapsa sp. PCC 7428U159.0641.371646689 ATCC; PCC
Halothece sp. PCC 7418U106.3340.455385237 PCC
Microcystis aeruginosa NIES-843U167.2141.262136129 NIES
Chroococcidiopsidales Chroococcidiopsis thermalis PCC 7203U126.7241.556875449 ATCC; PCC
Gloeobacteriales Gloeobacter kilaueensis JS1U128.7337.569466644NA
Gloeobacter violaceus PCC 7421U198.364785718383 ATCC; PCC
Nostocales Anabaena cylindrica PCC 7122F, H106.7944.366766630 ATCC; PCC
Anabaena sp. 90F, H126.7645.664265945NA
Anabaena variabilis ATCC 29413F, H185.6240.250594752 ATCC
Calothrix sp. PCC 630F, H114.183536143431 ATCC; PCC
Calothrix sp. PCC 7507F, H103.1638.729412837 ATCC; PCC
Cylindrospermum stagnale PCC 7417F, H103.3468.734373280 ATCC; PCC
Nostoc azollae 0708F, H245.463853645303NA
Nostoc punctiforme PCC 73102F, H166.5538.559425710 ATCC; PCC
Nostoc sp. PCC 7107F, H135.7950.755075327 ATCC; PCC
Nostoc sp. PCC 7120F, H167.8439.970426642 ATCC; PCC
Nostoc sp. PCC 7524F, H134.7939.846194367 ATCC; PCC
Rivularia sp. PCC 7116F, H144.839.847004444 PCC
Oscillatoriales Arthrospira platensis NIES-39F103.7842.436843337 NIES
Crinalium epipsammum PCC 9333F104.6858.539123815 PCC
Geitlerinema sp. PCC 7407F145.8843.453045011 ATCC; PCC
Microcoleus sp. PCC 7113F104.1842.939203708 PCC
Oscillatoria acuminata PCC 6304F105.1343.946544228 ATCC; PCC
Oscillatoria nigro-viridis PCC 7112F187.9746.268216441 PCC
Trichodesmium erythraeum IMS101F105.8442.363646312 NCMA
Pleurocapsales Pleurocapsa sp. PCC 7327U127.847.661005796 ATCC; PCC
Stanieria cyanosphaera PCC 7437U158.2745.870066360 ATCC; PCC
Synechococcales Acaryochloris marina MBIC11017U114.8946.240143854NA
Chamaesiphon minutus PCC 6605U102.755.525812522 PCC
Cyanobium gracile PCC 6307U112.7455.527152662 PCC
Synechococcus elongatus PCC 6301U102.6152.429442892 PCC
Synechococcus elongatus PCC 7942U102.5159.227562645 ATCC; PCC
Synechococcus sp. CC9311U102.2354.223572306 NCMA
Synechococcus sp. CC9605U103.0558.529422862 NCMA
Synechococcus sp. CC9902U102.9360.228972760 NCMA
Synechococcus sp. JA-2-3B'a(2–13)U113.7248.537943545NA
Synechococcus sp. JA-3-3AbU163.4149.232383187NA
Synechococcus sp. PCC 6312U123.5840.636663318 ATCC; PCC
Synechococcus sp. PCC 7002U102.2260.825812533 ATCC; PCC
Synechococcus sp. PCC 7502U102.3760.225862533 PCC
Synechococcus sp. RCC307U102.4359.425812519 RCC
Synechococcus sp. WH 7803U103.5747.732193170 NCMA
Synechococcus sp. WH 8102U143.9547.336253575 NCMA
Synechocystis sp. PCC 6803U173.9547.336103561 PCC
Synechocystis sp. PCC 6803U103.5747.732183169 PCC
Synechocystis sp. PCC 6803U103.5747.732173168 PCC
Synechocystis sp. PCC 6803 substr. GT-IU103.5747.732173168 PCC
Synechocystis sp. PCC 6803 substr. PCC-NU102.5953.925252476 PCC
Synechocystis sp. PCC 6803 substr. PCC-PU102.5253.824002231 PCC
Thermosynechococcus elongatus BP-1U107.7534.151264451NA
Thermosynechococcus sp. NK55U126.6944.460335752NA
Leptolyngbya sp. PCC 7376U104.9945.246654268 ATCC; PCC
Pseudanabaena sp. PCC 7367U155.5436.350414781 PCC
Prochlorococcus marinus str. AS9601U101.6731.319651920 NCMA
Prochlorococcus marinus str. MIT 9211U101.693819001854NA
Prochlorococcus marinus str. MIT 9215U101.7431.120541982 NCMA
Prochlorococcus marinus str. MIT 9301U101.6431.319621906 NCMA
Prochlorococcus marinus str. MIT 9303U102.685031362997 NCMA
Prochlorococcus marinus str. MIT 9312U101.7131.218561810 NCMA
Prochlorococcus marinus str. MIT 9313U102.4150.723302269 NCMA
Prochlorococcus marinus str. MIT 9515U101.730.819641905 NCMA
Prochlorococcus marinus str. NATL1AU101.863522502193 NCMA
Prochlorococcus marinus str. NATL2AU101.8435.122282162 NCMA
Prochlorococcus marinus subsp. marinus str. CCMP1375U101.7536.419301882 NCMA
Prochlorococcus marinus subsp. pastoris str. CCMP1986U101.6630.817621717 NCMA

The Biological Resource Centers (BRCs) listed (with hyperlinks) includes 1. ATCC (American Type Culture Collection), 2. PCC (Pasteur Culture Collection of Cyanobacteria), 3. NIES (National Institute for Environmental Studies), 4. NCMA (National Center for Marine Algae and Microbiota), 5. RCC (Roscoff Culture Collection) and 6. NA, Not available

Order wise complete list of species mentioned in CKB.

The table provides information related to order, Morphology (Morph.-U: Unicellular, F: Filamentous and F,H: Filamentous Heterocystous), number of chromosomes (Chr.), number of plasmids (Pla.), genome size (Size, MB), GC %, the number of genes (Genes), number of proteins (Proteins), and Biological Resource Centers (BRCs) from which live specimens can be available for each species. The Biological Resource Centers (BRCs) listed (with hyperlinks) includes 1. ATCC (American Type Culture Collection), 2. PCC (Pasteur Culture Collection of Cyanobacteria), 3. NIES (National Institute for Environmental Studies), 4. NCMA (National Center for Marine Algae and Microbiota), 5. RCC (Roscoff Culture Collection) and 6. NA, Not available

Tools

The database analysis portal provides access to the CKB BLAST tool, as well as tools for pattern and fuzzy searches, and restriction digestion. The CKB BLAST tool can be used to compare nucleotide or protein sequences, to identify members of gene families, and to infer functional and evolutionary relationships between sequences. Users are provided with several customized databases for similarity searches within the CKB BLAST analysis tool. This includes a database with information on all cyanobacterial chromosomes and plasmids. The users have the freedom to restrict their analysis to either chromosomes or plasmids. Furthermore, CKB provides databases that allow users to compare individual organisms, multiple organisms and orders also (Fig 2).
Fig 2

CKB BLAST tool.

The BLAST analysis tool compares sequence within cyanobacterial species and with E. coli and Arabidopsis. It consists of A, B, C, D and E divisions where A: denotes different programs of BLAST tool, B: the sequence input page, C: option to select the individual or an order wise cyanobacterial dataset, D: choice to choose genomes of 74 cyanobacterial genomes fully or only chromosomes or only plasmids for analysis and E: option to choose E. coli and /or Arabidopsis.

CKB BLAST tool.

The BLAST analysis tool compares sequence within cyanobacterial species and with E. coli and Arabidopsis. It consists of A, B, C, D and E divisions where A: denotes different programs of BLAST tool, B: the sequence input page, C: option to select the individual or an order wise cyanobacterial dataset, D: choice to choose genomes of 74 cyanobacterial genomes fully or only chromosomes or only plasmids for analysis and E: option to choose E. coli and /or Arabidopsis. As cyanobacteria are prokaryotic photosynthetic organisms, a model prokaryotic genome (E. coli) and a photosynthetic eukaryotic genome (Arabidopsis) are included for advancing comparative analysis. In addition, pattern and fuzzy search tools are available to help in identifying the patterns present in different cyanobacterial genomes. Furthermore, the restriction digestion tool helps to identify restriction sites within the sequences.

Searching and browsing through the database

The Cyanobacterial KnowledgeBase consists of information related to 74 fully sequenced cyanobacterial species of seven orders, namely Chroococcales, Chroococcidiopsidales, Gloeobacteriales, Nostocales, Oscillatoriales, Pleurocapsales and Synechococcales. The browse option helps with orientation and navigation through the species under each order (Fig 3). The species report can be reached from the “Browse by Order” option, which provides brief information about the species, taxonomy, morphological features, genome status, and its genome details.
Fig 3

Search and browse tool.

The CKB search tools allow to search by keywords or accession and browse tool, through which users can peruse to individual organism.

Search and browse tool.

The CKB search tools allow to search by keywords or accession and browse tool, through which users can peruse to individual organism. The search tool can also be used to retrieve information related to specific genes, functions, or keywords, etc. An example search result for a query keyword "Chaperone" returned 907 entries (Fig 4)
Fig 4

Search results.

Results for keyword "Chaperone" showing 907 entries.

Search results.

Results for keyword "Chaperone" showing 907 entries.

Proteome profiling

The complete gene set of each genome can be accessed under the proteome profiling from the “Species reporter” tool. The table provides a complete gene list with PID gene name (locus_tag), synonym, product name, strand, start and end, length, COG (Clusters of Orthologous Groups) id and GI (Genbank) accession number. Furthermore, the search tool within the table provides an option to search and retrieve the results by specific keyword.

Gene report

Information related to each gene is displayed under five sections. The ‘details section’ provides brief information related to the gene, and allows the user to navigate to the nearest genes present on either side of the gene of interest (Fig 5). The ‘sequence feature section’ provides domains, repeats, motif, and binding site information in both graphical and tabular form (Fig 6). The FASTA format of protein and nucleotide sequences are provided at the bottom section with direct links for BLAST analysis. The ‘annotation section’ displays the functions of the gene with gene ontology and UniProt keywords. The last two sections provide links to other external databases and list of homologous proteins respectively.
Fig 5

Gene report-About section.

About section of the gene provides brief information about the gene of interest and genes located either side of the gene.

Fig 6

Sequence features.

Graphical and tabular display of sequence features.

Gene report-About section.

About section of the gene provides brief information about the gene of interest and genes located either side of the gene.

Sequence features.

Graphical and tabular display of sequence features.

Review of other related databases and web-resources

The rapidly increasing genomics and proteomics data due to advancements in high throughput data generation has created a need for enhanced data management to empower basic and applied research in cyanobacteria. Many web-based databases and community resources have been created specifically for cyanobacteria to facilitate systems biology analysis using these large data. Table 2 provides the list of databases summarized by Hernández-Prieto et al. [7] which has analytical tools along with the additional web resources and databases that are currently available.
Table 2

List of other databases or web-resources available as at May-2015.

NameDatabase/Web resourceDetailsToolsLink to website
CyanoBaseDatabaseDatabase of genetic data of about 39 speciesBLAST2, KazusaMart http://genome.microbedb.jp/cyanobase/
CYORFDatabaseContains ORF list of about 33 speciesBLAST, FASTA http://cyano.genome.ad.jp/
CyanoBIKEDatabaseA web-based programmable knowledge base for genomic, metabolic, and experimental dataIn built and custom tools http://biobike.csbc.vcu.edu/
cTFbaseDatabaseDatabase of transcription factors in the cyanobacterial genomesBLAST, Multiple sequence alignment tool http://bioinformatics.zj.cn/cTFbase/DatabaseLink.php
CyanoPhyCheDatabaseContains data related to physico-chemical properties, structure and biochemical pathway information of cyanobacterial proteinsNA http://bif.uohyd.ac.in/cpc/
CyanoClustDatabaseDatabase of homologous proteins in cyanobacteria and plastidsBLAST http://cyanoclust.c.u-tokyo.ac.jp/
CyanoEXpressDatabaseUsed for examination and visualisation of gene expression changes for various experimental or genetic manipulations from numerous transcriptome studiesNA http://cyanoexpress.sysbiolab.eu/
CyanoLyaseDatabaseA manually curated sequence and motif database of phycobilin lyases and related proteinsBLAST, Pattern matching tool (Protomatch) http://cyanolyase.genouest.org/
CyanorakDatabaseInformation system of clusters of orthologous sequences from marine picocyanobacteriaBlast http://www.sb-roscoff.fr/cyanorak
SynechoNETDatabaseIntegrated protein-protein interaction database of Synechocystis NA http://bioportal.kobic.kr/SynechoNET/
ProPortalDatabaseA resource for integrated systems biology of isolates of Prochlorococcus NA http://proportal.mit.edu/
CyanoNewsWeb resourceNewsletter intended for cyanobacteriologistsNA http://www.vcu.edu/cyanonews/
CyanositeWeb resourceA general webserver for cyanobacterial researchNA http://www-cyanosite.bio.purdue.edu/
CyanoDataWeb resourceA database for methods for cyanobacterial bloom managementNA http://www.cyanodata.net/faq.php
CyanoDBWeb resourceA taxonomic database of cyanobacterial genera.NA http://www.cyanodb.cz/
The most comprehensive and widely used web based database is CyanoBase [8], which contains currently sequenced and annotated genome sequences, along with gene annotations and information related to various mutations involved in 39 species of cyanobacteria. It also includes tools such as BLAST for genes and genome similarity searches and KazusaMart which can be used to convert identifiers from one format to different formats. CYORF is another community annotated database that provides the open reading frame (ORF) list for approximately 33 genomes along with data from KEGG and DBGET at the GenomeNet, Pfam and Prosite motifs, predicted localization sites and protein 3D structures and tools to search for similar sequences [9]. CyanoBIKE is an instance of BioBike which provides web-based programmable knowledge base for genomic, metabolic and experimental data specifically for cyanobacteria. It has the collection of different datasets along with built-in tools for analysis, which require some basic programming skills for its application [10]. Apart from the above three generalized cyanobacterial databases, there are a few more databases which are developed specifically for a particular species or a group of cyanobacteria, which includes Cyanorak [11], SynechoNET [12] and ProPortal [13]. These are dedicated resources with annotations for orthologous sequences of marine picocyanobacteria, protein-protein interaction data for Synechocystis, and information related Prochlorococcus isolates respectively. Additionally, many specialized databases that are available focusing on specific protein class or property exclusively for cyanobacterial species. It includes cTFbase, a database containing transcription factors [14], CyanoPhyChe, which contains physico-chemical properties of cyanobacterial proteins [15], CyanoClust, which includes homolog groups in cyanobacteria and plastids produced by the program Gclust [16], CyanoEXpress, with curated genome-wide expression data [17] and CyanoLyase, a database of phycobilin lyase sequences, motifs and functions [18]. Along with these online databases, CyanoNews [19], Cyanosite [20], CyanoData [21] and CyanoDB [22] are the major web resources that provide the basic information about cyanobacteria, current happenings in cyanobacterial research, the methods used in cyanobacteriology, bibliography archive, research groups involved in cyanobacterial research, etc. that are extensively referred by cyanobacteriologists. CKB, the present available database has incorporated all 74 currently fully sequenced genomes of cyanobacteria, including customized tools for inclusive analysis of these genomes. The tool also helps in interpreting newly sequenced genomes by comparing them with the previously annotated cyanobacterial and/or other model organism genomes. The flexibility of defining datasets by either organism or order, or as whole genome or plasmids, helps the user to segregate their search and its results according to their specific needs. An additional significant characteristic is the inclusion of the model prokaryotic genome (E. coli) and presence of a photosynthetic eukaryotic genome (Arabidopsis), which further assists in comparative sequence analysis thereby making CKB a unique and beneficial resource for cyanobacterial genome analysis.

Future Prospects

It is planned to improve and update the content of the database of CKB in the following aspects. First, gene information will be enriched by adding experimentally proven results related to biological functions, expression, and protein-protein interactions by manually curating the data from peer reviewed literature. In addition, we intend to include or develop further analysis tools to support the analysis of cyanobacterial genomes. The necessary efforts will also be made to ensure the database as user-friendly and efficient as possible, using the reflection and feedback from users of the first version of CKB to guide our efforts.

Conclusions

Here we present CKB as a knowledge database for the cyanobacteriologists. CKB provides access to information related to fully sequenced genomes and can be utilized for analysis and retrieving information. The CKB database website is freely accessible as a web application at: http://nfmc.res.in/ckb.

Materials and Methods

Data Collection and Organization

The complete genomes of 74 cyanobacteria were downloaded from the NCBI ftp site and their accession numbers are listed in S1 File [23]. Sequence features, annotations, and external links were downloaded from the UniProt database in xml format for each gene [24]. All the downloaded data from NCBI and UniProt databases were converted into csv format and uploaded into a SQL database. The full schema of the database is included as the S1 Fig.

Web Interface and Application

CKB is built on a 64 bit CentOS (version 5) server running WAMPSERVER (V2.2d), which integrates the Apache HTTP Server (V2.2.21) with PHP (V5.3.10) and the MySQL Server (V5.5.20). Complete data related to the sequence and annotations are stored in a MySQL database. The database is designed using PHP, with jQuery JavaScript Library (V1.10), and Cascading Style Sheets (CSS) for the web interface. In addition, a simple gene browser in HTML5 is incorporated into the gene report page, which is provided by Chase Miller [25]. The BLAST 2.2.29+ tool is downloaded from NCBI ftp and pattern and fuzzy search tool and the restriction digestion tools are downloaded from Sequence Manipulation Suite [26-27]. The web server and all information parts of the database are hosted at NFMC portal www.nfmc.res.in.

Database schema.

(TIF) Click here for additional data file.

List of RefSeq accession numbers.

(DOCX) Click here for additional data file.
  14 in total

1.  Scribl: an HTML5 Canvas-based graphics library for visualizing genomic data over the web.

Authors:  Chase A Miller; Jon Anthony; Michelle M Meyer; Gabor Marth
Journal:  Bioinformatics       Date:  2012-11-19       Impact factor: 6.937

2.  CyanoEXpress: A web database for exploration and visualisation of the integrated transcriptome of cyanobacterium Synechocystis sp. PCC6803.

Authors:  Miguel A Hernandez-Prieto; Matthias E Futschik
Journal:  Bioinformation       Date:  2012-07-06

3.  CyanoClust: comparative genome resources of cyanobacteria and plastids.

Authors:  Naobumi V Sasaki; Naoki Sato
Journal:  Database (Oxford)       Date:  2010-01-08       Impact factor: 3.451

4.  Toxins produced in cyanobacterial water blooms - toxicity and risks.

Authors:  Luděk Bláha; Pavel Babica; Blahoslav Maršálek
Journal:  Interdiscip Toxicol       Date:  2009-06

5.  ProPortal: a resource for integrated systems biology of Prochlorococcus and its phage.

Authors:  Libusha Kelly; Katherine H Huang; Huiming Ding; Sallie W Chisholm
Journal:  Nucleic Acids Res       Date:  2011-11-18       Impact factor: 16.971

6.  cTFbase: a database for comparative genomics of transcription factors in cyanobacteria.

Authors:  Jinyu Wu; Fangqing Zhao; Shengqin Wang; Gang Deng; Junrong Wang; Jie Bai; Jianxin Lu; Jia Qu; Qiyu Bao
Journal:  BMC Genomics       Date:  2007-04-18       Impact factor: 3.969

7.  BioBIKE: a Web-based, programmable, integrated biological knowledge base.

Authors:  Jeff Elhai; Arnaud Taton; J P Massar; John K Myers; Mike Travers; Johnny Casey; Mark Slupesky; Jeff Shrager
Journal:  Nucleic Acids Res       Date:  2009-05-11       Impact factor: 16.971

8.  CyanoPhyChe: a database for physico-chemical properties, structure and biochemical pathway information of cyanobacterial proteins.

Authors:  P V Parvati Sai Arun; Ranjith Kumar Bakku; Mranu Subhashini; Pankaj Singh; N Prakash Prabhu; Iwane Suzuki; Jogadhenu S S Prakash
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

9.  CyanoLyase: a database of phycobilin lyase sequences, motifs and functions.

Authors:  Anthony Bretaudeau; François Coste; Florian Humily; Laurence Garczarek; Gildas Le Corguillé; Christophe Six; Morgane Ratin; Olivier Collin; Wendy M Schluchter; Frédéric Partensky
Journal:  Nucleic Acids Res       Date:  2012-11-21       Impact factor: 16.971

10.  SynechoNET: integrated protein-protein interaction database of a model cyanobacterium Synechocystis sp. PCC 6803.

Authors:  Woo-Yeon Kim; Sungsoo Kang; Byoung-Chul Kim; Jeehyun Oh; Seongwoong Cho; Jong Bhak; Jong-Soon Choi
Journal:  BMC Bioinformatics       Date:  2008       Impact factor: 3.169

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Authors:  Yuan-Yuan Li; Xiao-Huang Chen; Zhang-Xian Xie; Dong-Xu Li; Peng-Fei Wu; Ling-Fen Kong; Lin Lin; Shuh-Ji Kao; Da-Zhi Wang
Journal:  Front Microbiol       Date:  2018-04-25       Impact factor: 5.640

2.  Diversity of Glutathione S-Transferases (GSTs) in Cyanobacteria with Reference to Their Structures, Substrate Recognition and Catalytic Functions.

Authors:  Mohandass ShylajaNaciyar; Lakshmanan Karthick; Peter Arul Prakasam; Garlapati Deviram; Lakshmanan Uma; Dharmar Prabaharan; Sushanta Kumar Saha
Journal:  Microorganisms       Date:  2020-05-11

Review 3.  Omics for Bioprospecting and Drug Discovery from Bacteria and Microalgae.

Authors:  Reuben Maghembe; Donath Damian; Abdalah Makaranga; Stephen Samwel Nyandoro; Sylvester Leonard Lyantagaye; Souvik Kusari; Rajni Hatti-Kaul
Journal:  Antibiotics (Basel)       Date:  2020-05-04
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