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Prochlorococcus and Synechococcus marine cyanobacteria: a scientometrics review

dc.contributor.authorCesar-Ribeiro, Caio [UNESP]
dc.contributor.authorBarbosa, Cristiane Santos
dc.contributor.authorTerra, Vanessa
dc.contributor.authorGhisi, Nédia de Castilhos
dc.contributor.institutionUniversidade Tecnológica Federal do Paraná
dc.contributor.institutionUniversidade Federal do ABC (UFABC)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.date.accessioned2025-04-29T20:17:00Z
dc.date.issued2023-01-01
dc.description.abstractProchlorococcus and Synechococcus are the dominant primary producers in the ocean and account for a significant percentage of oceanic carbon fixation. This review summarizes the available data in the literature (1992-2021; n = 480) using CiteSpace software to provide insights into the specific characteristics of Prochlorococcus and Synechococcus genes that scientists can use for establishing future research directions. From 1992 to 2021, the most frequent and with higher centrality keyword was multiple evolutionary origin (0.43), followed by flow cytometry (0.40), because this period was the main method used to identify cyanobacteria. In 2001-2010, were sequence and gene, both with 0.13 of centrality; this can be explained by the period when gene sequencing was developed. In the last 10 years period 2011-2021, were diversity (0.17); marine Synechococcus (0.10); Prochlorococcus ecotype (0.08); gene expression (0.14). Additionally, the migration characteristics of flow cytometry, genes identification methods, genomes, and ecotypes of cyanobacteria, indicate how future studies should focus in 1) molecular ecology: how genetic variability among different populations affects their adaptation to different ocean environments, 2) physiology: how this phytoplankton respond to changes in nutrient availability and solar radiation, 3) interactions with other living beings: how they interact with other organisms, such as bacteria, zooplankton, and fish, and how these interactions affect the dynamics of the ocean ecosystem, and 4) modeling: computational models are being developed to predict how the distribution will change in the future as a result of climate change and human use of the oceans.en
dc.description.affiliationPós-graduação em Biologia Molecular Universidade Tecnológica Federal do Paraná, Paraná
dc.description.affiliationPós-graduação em Evolução e Diversidade Universidade Federal do ABC
dc.description.affiliationNEPEA Universidade Estadual Paulista, São Paulo
dc.description.affiliationUniversidade Federal de Uberlândia, Minas Gerais
dc.description.affiliationUnespNEPEA Universidade Estadual Paulista, São Paulo
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.format.extent556-569
dc.identifierhttp://dx.doi.org/10.3856/vol51-issue4-fulltext-2949
dc.identifier.citationLatin American Journal of Aquatic Research, v. 51, n. 4, p. 556-569, 2023.
dc.identifier.doi10.3856/vol51-issue4-fulltext-2949
dc.identifier.issn0718-560X
dc.identifier.scopus2-s2.0-85175261042
dc.identifier.urihttps://hdl.handle.net/11449/309890
dc.language.isoeng
dc.relation.ispartofLatin American Journal of Aquatic Research
dc.sourceScopus
dc.subjectCiteSpace
dc.subjectcyanobacteria
dc.subjectgenome
dc.subjectProchlorococcus
dc.subjectscientometrics
dc.subjectSynechococcus
dc.titleProchlorococcus and Synechococcus marine cyanobacteria: a scientometrics reviewen
dc.typeResenhapt
dspace.entity.typePublication

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