2011
DOI: 10.1073/pnas.1101137108
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Genomic insights into the physiology and ecology of the marine filamentous cyanobacterium Lyngbya majuscula

Abstract: Filamentous cyanobacteria of the genus Lyngbya are important contributors to coral reef ecosystems, occasionally forming dominant cover and impacting the health of many other co-occurring organisms. Moreover, they are extraordinarily rich sources of bioactive secondary metabolites, with 35% of all reported cyanobacterial natural products deriving from this single pantropical genus. However, the true natural product potential and life strategies of Lyngbya strains are poorly understood because of phylogenetic a… Show more

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Cited by 100 publications
(84 citation statements)
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“…All are annotated as photosynthetic (atmospheric carbon dioxide as primary carbon source), nondiazotrophic (absence of nitrogenase genes), capable of the biosynthesis of all proteinogenic amino acids (except for tyrosine and phenylalanine), and possessing the biosynthetic genes for important cofactors including CoA, cobalamin, biotin, flavin, NAD, heme, and thiamine. Additionally, the number of specialized sigma factors in the genomes of these four filamentous marine cyanobacteria strains, as previously discussed in Jones et al (21), are virtually the same (five specialized sigma factors per genome). Despite the significant similarity between the four genomes, some COG categories were indicative of a number of subtle genetic differences (see comparison of COG categories in Supporting Information).…”
Section: Genome Comparison Among Moorea Strains Reveals Significantsupporting
confidence: 56%
“…All are annotated as photosynthetic (atmospheric carbon dioxide as primary carbon source), nondiazotrophic (absence of nitrogenase genes), capable of the biosynthesis of all proteinogenic amino acids (except for tyrosine and phenylalanine), and possessing the biosynthetic genes for important cofactors including CoA, cobalamin, biotin, flavin, NAD, heme, and thiamine. Additionally, the number of specialized sigma factors in the genomes of these four filamentous marine cyanobacteria strains, as previously discussed in Jones et al (21), are virtually the same (five specialized sigma factors per genome). Despite the significant similarity between the four genomes, some COG categories were indicative of a number of subtle genetic differences (see comparison of COG categories in Supporting Information).…”
Section: Genome Comparison Among Moorea Strains Reveals Significantsupporting
confidence: 56%
“…25 In addition, no CurN coding sequence was identified by amplification from M. producta (formerly L. majuscula) genomic DNA, nor was CurN located in the recently sequenced M. producta 3L genome. 26 Furthermore, the G þ C content of curN (61%) contrasts with the rest of the curacin biosynthetic gene cluster (45.5%). The scaffolds used to assemble the M. producta genome ranged from 37 to 66% G þ C content, with the great majority falling between 40 and 45%.…”
Section: Biological Source Of Dmma (Formerly Curn)mentioning
confidence: 99%
“…The scaffolds used to assemble the M. producta genome ranged from 37 to 66% G þ C content, with the great majority falling between 40 and 45%. 26 In addition, CurN (now referred to as DmmA (dehalogenase A from a marine microbe) in accord with other dehalogenases of unknown biological function 8 ) has high similarity ($50%) to HLDs from other marine bacteria, although none are from the cyanobacterial phyla. From these data, we conclude that curN (dmmA) is most likely a product of one of the organisms that grew in close association with the M. producta field isolate whose metagenomic DNA cosmid library was used to sequence the cur gene cluster.…”
Section: Biological Source Of Dmma (Formerly Curn)mentioning
confidence: 99%
“…and C. concentrica (Fan et al, 2012), the TEFAP approach amplified reads that form a phylogenetic clade with C domains from the marine cyanobacteria Moorea producens (Jones et al, 2011) and Acaryochloris marina (Swingley et al, 2008). Within Scopalina sp.…”
Section: Metagenomic Mining Of Condensation Domains Reveals An Unprecmentioning
confidence: 99%