Novel diversity within Roseofilum (Desertifilaceae, Cyanobacteria) from marine benthic mats with description of four new species.


Journal

Journal of phycology
ISSN: 1529-8817
Titre abrégé: J Phycol
Pays: United States
ID NLM: 9882935

Informations de publication

Date de publication:
Dec 2023
Historique:
revised: 09 08 2023
received: 24 03 2023
accepted: 07 09 2023
medline: 6 12 2023
pubmed: 12 10 2023
entrez: 12 10 2023
Statut: ppublish

Résumé

Benthic cyanobacterial mats (BCMs) are natural phenomena in marine environments. Reports of BCMs occurring across coastal marine environments have increased, partly driven by nutrient loading and climate change; thus, there is a need to understand the diversity involved in the proliferations and potential toxicity of the BCMs. Furthermore, marine cyanobacterial mats are observed growing on and affecting the health of corals with one specific cyanobacterial genus, Roseofilum, dominating the microbial mats associated with black band disease (BBD), a destructive polymicrobial disease that affects corals. To explore the diversity of Roseofilum, cyanobacterial mats from various marine habitats were sampled, and individual isolates were identified based on morphology, 16S rRNA gene phylogenies, 16S-23S ITS rRNA region sequence dissimilarities, and phylogenomics. Four novel species of Roseofilum were isolated from benthic marine mats, three from the coasts of Florida, United States (R. capinflatum sp. nov., R. casamattae sp. nov., and R. acuticapitatum sp. nov.) and one from the coast of France (R. halophilum sp. nov.). Our analyses revealed that Roseofilum associated with coral BBD and those not associated with corals but rather from coastal benthic mats are systematically distinct based on both phylogenetic and phylogenomic analyses. Enzyme-linked immunosorbent assay (ELISA) and LC-MS data indicated that microcystin production was found in one of the four species.

Identifiants

pubmed: 37824435
doi: 10.1111/jpy.13392
doi:

Substances chimiques

RNA, Ribosomal, 16S 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1147-1165

Subventions

Organisme : China Scholarship Council
ID : 202106320181
Organisme : National Institute of Food and Agriculture
ID : FLA-FTL- 005697

Informations de copyright

© 2023 Phycological Society of America.

Références

Andrews, S. (2010). FastQC: A quality control tool for high throughput sequence data [software]. Babraham Bioinformatics.
Arotsker, L., Siboni, N., Ben-Dov, E., Kramarsky-Winter, E., Loya, Y., & Kushmaro, A. (2009). Vibrio sp. as a potentially important member of the black band disease (BBD) consortium in Favia sp. corals. FEMS Microbiology Ecology, 70(3), 515-524. https://doi.org/10.1111/j.1574-6941.2009.00770.x
Aziz, R. K., Bartels, D., Best, A. A., DeJongh, M., Disz, T., Edwards, R. A., Formsma, K., Gerdes, S., Glass, E. M., Kubal, M., Meyer, F., Olsen, G. J., Olson, R., Osterman, A. L., Overbeek, R. A., McNeil, L. K., Paarmann, D., Paczian, T., Parrello, B., … Zagnitko, O. (2008). The RAST server: Rapid annotations using subsystems technology. BMC Genomics, 9(1), 75. https://doi.org/10.1186/1471-2164-9-75
Barco, R., Garrity, G., Scott, J., Amend, J., Nealson, K., & Emerson, D. (2020). A genus definition for bacteria and archaea based on a standard genome relatedness index. mBio, 11(1), e02475-02419. https://doi.org/10.1128/mbio.02475-19
Barneah, O., Ben-Dov, E., Kramarsky-Winter, E., & Kushmaro, A. (2007). Characterization of black band disease in Red Sea stony corals. Environmental Microbiology, 9(8), 1995-2006. https://doi.org/10.1111/j.1462-2920.2007.01315.x
Benredjem, L., Berredjem, H., Abdi, A., Casero, M. C., Quesada, A., Fosso, B., Marzano, M., Pesole, G., Azevedo, J., & Vasconcelos, V. (2022). Morphological, molecular, and biochemical study of cyanobacteria from a eutrophic Algerian reservoir (Cheffia). Environmental Science and Pollution Research, 29(19), 27624-27635. https://doi.org/10.1007/s11356-021-17528-w
Berthold, D. E., Lefler, F. W., & Laughinghouse, H. D., IV. (2021). Untangling filamentous marine cyanobacterial diversity from the coast of South Florida with the description of Vermifilaceae fam. nov. and three new genera: Leptochromothrix gen. nov., Ophiophycus gen. nov., and Vermifilum gen. nov. Molecular Phylogenetics and Evolution, 160, 107010. https://doi.org/10.1016/j.ympev.2020.107010
Berthold, D. E., Lefler, F. W., & Laughinghouse, H. D., IV. (2022). Recognizing novel cyanobacterial diversity in marine benthic mats, with the description of Sirenicapillariaceae fam. nov., two new genera, Sirenicapillaria gen. nov. and Tigrinifilum gen. nov., and seven new species. Phycologia, 61(2), 146-165. https://doi.org/10.1080/00318884.2021.2006589
Berthold, D. E., Lefler, F. W., Werner, V. R., & Laughinghouse, H. D., IV. (2020). Johannesbaptistia floridana sp. nov. (Chroococcales, Cyanobacteria), a novel marine cyanobacterium from coastal South Florida (USA). Fottea, 20(2), 152-159. https://doi.org/10.5507/fot.2020.008
Berthold, D. E., Werner, V. R., Lefler, F. W., Simon, I. P., & Laughinghouse, H. D., IV. (2022). The novel marine cyanobacterium Nunduva sanctimaloensis sp. nov. (Nostocales, Cyanobacteria) from rocky shores and its reproduction through modified monocytes. Fottea, 22(2), 192-203. https://doi.org/10.5507/fot.2021.023
Bourne, D. G., Muirhead, A., & Sato, Y. (2011). Changes in sulfate-reducing bacterial populations during the onset of black band disease. ISME Journal, 5(3), 559-564. https://doi.org/10.1038/ismej.2010.143
Boyer, S. L., Johansen, J. R., Flechtner, V. R., & Howard, G. L. (2002). Phylogeny and genetic variance in terrestrial Microcoleus (Cyanophyceae) species based on sequence analysis of the 16S rRNA gene and associated 16S-23S ITS region. Journal of Phycology, 38(6), 1222-1235. https://doi.org/10.1046/j.1529-8817.2002.01168.x
Bravakos, P., Kotoulas, G., Skaraki, K., Pantazidou, A., & Economou-Amilli, A. (2016). A polyphasic taxonomic approach in isolated strains of cyanobacteria from thermal springs of Greece. Molecular Phylogenetics and Evolution, 98, 147-160. https://doi.org/10.1016/j.ympev.2016.02.009
Brocke, H. J., Wenzhoefer, F., de Beer, D., Mueller, B., van Duyl, F. C., & Nugues, M. M. (2015). High dissolved organic carbon release by benthic cyanobacterial mats in a Caribbean reef ecosystem. Scientific Reports, 5, 8852. https://doi.org/10.1038/srep08852
Buerger, P., Alvarez-Roa, C., Weynberg, K. D., Baekelandt, S., & van Oppen, M. J. (2016). Genetic, morphological and growth characterisation of a new Roseofilum strain (Oscillatoriales, Cyanobacteria) associated with coral black band disease. PeerJ, 4, e2110. https://doi.org/10.7717/peerj.2110
Casamatta, D., Stanić, D., Gantar, M., & Richardson, L. L. (2012). Characterization of Roseofilum reptotaenium (Oscillatoriales, Cyanobacteria) gen. et sp. nov. isolated from Caribbean black band disease. Phycologia, 51(5), 489-499. https://doi.org/10.2216/11-10.1
Chaumeil, P. A., Mussig, A. J., Hugenholtz, P., & Parks, D. H. (2022). GTDB-Tk v2: Memory friendly classification with the genome taxonomy database. Bioinformatics, 38(23), 5315-5316. https://doi.org/10.1093/bioinformatics/btac672
Chen, S., Zhou, Y., Chen, Y., & Gu, J. (2018). fFastp: An ultra-fast all-in-one FASTQ preprocessor. Bioinformatics, 34(17), i884-i890. https://doi.org/10.1093/bioinformatics/bty560
Chivian, D., Jungbluth, S. P., Dehal, P. S., Wood-Charlson, E. M., Canon, R. S., Allen, B. H., Clark, M. M., Gu, T., Land, M. L., Price, G. A., Riehl, W. J., Sneddon, M. W., Sutormin, R., Zhang, Q., Cottingham, R. W., Henry, C. S., & Arkin, A. P. (2023). Metagenome-assembled genome extraction and analysis from microbiomes using KBase. Nature Protocols, 18(1), 208-238. https://doi.org/10.1038/s41596-022-00747-x
Cissell, E. C., Eckrich, C. E., & McCoy, S. J. (2022). Cyanobacterial mats as benthic reservoirs and vectors for coral black band disease pathogens. Ecological Applications, 32(6), e2692. https://doi.org/10.1002/eap.2692
Cissell, E. C., & McCoy, S. J. (2021). Shotgun metagenomic sequencing reveals the full taxonomic, trophic, and functional diversity of a coral reef benthic cyanobacterial mat from Bonaire, Caribbean Netherlands. Science of the Total Environment, 755(Pt 1), 142719. https://doi.org/10.1016/j.scitotenv.2020.142719
Cooney, R. P., Pantos, O., Tissier, M. D. A. L., Barer, M. R., O'Donnell, A. G., & Bythell, J. C. (2002). Characterization of the bacterial consortium associated with black band disease in coral using molecular microbiological techniques. Environmental Microbiology, 4(7), 401-413. https://doi.org/10.1046/j.1462-2920.2002.00308.x
Darriba, D., Posada, D., Kozlov, A. M., Stamatakis, A., Morel, B., & Flouri, T. (2020). ModelTest-NG: A new and scalable tool for the selection of DNA and protein evolutionary models. Molecular Biology and Evolution, 37(1), 291-294. https://doi.org/10.1093/molbev/msz189
de Bakker, D. M., van Duyl, F. C., Bak, R. P. M., Nugues, M. M., Nieuwland, G., & Meesters, E. H. (2017). 40 years of benthic community change on the Caribbean reefs of Curaçao and Bonaire: The rise of slimy cyanobacterial mats. Coral Reefs, 36(2), 355-367. https://doi.org/10.1007/s00338-016-1534-9
Echenique-Subiabre, I., Villeneuve, A., Golubic, S., Turquet, J., Humbert, J. F., & Gugger, M. (2015). Influence of local and global environmental parameters on the composition of cyanobacterial mats in a tropical lagoon. Microbial Ecology, 69(2), 234-244. https://doi.org/10.1007/s00248-014-0496-0
Edgar, R. C. (2004). MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Research, 32(5), 1792-1797. https://doi.org/10.1093/nar/gkh340
Ford, A. K., Bejarano, S., Nugues, M. M., Visser, P. M., Albert, S., & Ferse, S. C. (2018). Reefs under siege - the rise, putative drivers, and consequences of benthic cyanobacterial mats. Frontiers in Marine Science, 5, 18. https://doi.org/10.3389/fmars.2018.00018
Ford, A. K., Visser, P. M., van Herk, M. J., Jongepier, E., & Bonito, V. (2021). First insights into the impacts of benthic cyanobacterial mats on fish herbivory functions on a nearshore coral reef. Scientific Reports, 11(1), 7147. https://doi.org/10.1038/s41598-021-84016-z
Frias-Lopez, J., Zerkle, A. L., Bonheyo, G. T., & Fouke, B. W. (2002). Partitioning of bacterial communities between seawater and healthy, black band diseased, and dead coral surfaces. Applied and Environmental Microbiology, 68(5), 2214-2228. https://doi.org/10.1128/AEM.68.5.2214-2228.2002
Guillard, R. R. L., & Hargraves, P. E. (2019). Stichochrysis immobilis is a diatom, not a chrysophyte. Phycologia, 32(3), 234-236. https://doi.org/10.2216/i0031-8884-32-3-234.1
Guindon, S., & Gascuel, O. (2003). A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Systematic Biology, 52(5), 696-704. https://doi.org/10.1080/10635150390235520
Gunasekera, S. P., Meyer, J. L., Ding, Y., Abboud, K. A., Luo, D., Campbell, J. E., Angerhofer, A., Goodsell, J. L., Raymundo, L. J., Liu, J., Ye, T., Luesch, H., Teplitski, M., & Paul, V. J. (2019). Chemical and metagenomic studies of the lethal black band disease of corals reveal two broadly distributed, redox-sensitive mixed polyketide/peptide macrocycles. Journal of Natural Products, 82(1), 111-121. https://doi.org/10.1021/acs.jnatprod.8b00804
Gürtler, V. & Stanisich, V. A. 1996. New approaches to typing and identification of bacteria using the 16S-23S rDNA spacer region. Microbiology 142(1):3-16. https://doi.org/10.1099/13500872-142-1-3
Harris, J. K., Caporaso, J. G., Walker, J. J., Spear, J. R., Gold, N. J., Robertson, C. E., Hugenholtz, P., Goodrich, J., McDonald, D., Knights, D., Marshall, P., Tufo, H., Knight, R., & Pace, N. R. (2013). Phylogenetic stratigraphy in the Guerrero Negro hypersaline microbial mat. ISME Journal, 7(1), 50-60. https://doi.org/10.1038/ismej.2012.79
Harwood, T. V., Zuniga, E. G., Kweon, H., & Risser, D. D. (2021). The cyanobacterial taxis protein HmpF regulates type IV pilus activity in response to light. Proceedings of the National Academy of Sciences, 118(12), e2023988118. https://doi.org/10.1073/pnas.2023988118
Huang, I. S., Pietrasiak, N., Gobler, C. J., Johansen, J. R., Burkholder, J. M., D'Antonio, S., & Zimba, P. V. (2021). Diversity of bioactive compound content across 71 genera of marine, freshwater, and terrestrial cyanobacteria. Harmful Algae, 109, 102116. https://doi.org/10.1016/j.hal.2021.102116
Huang, I. S., Pinnell, L. J., Turner, J. W., Abdulla, H., Boyd, L., Linton, E. W., & Zimba, P. V. (2020). Preliminary assessment of microbial community structure of wind-tidal flats in the Laguna Madre, Texas, USA. Biology, 9(8), 183. https://doi.org/10.3390/biology9080183
Hutabarat, P. U. B., Nguyen, X. H., & Suda, S. (2018). Black band disease-related (BBD) cyanobacterium from Okinawan corals. Journal of Applied Phycology, 30(6), 3197-3203. https://doi.org/10.1007/s10811-018-1507-1
Jain, C., Rodriguez, R. L., Phillippy, A. M., Konstantinidis, K. T., & Aluru, S. (2018). High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nature Communications, 9(1), 5114. https://doi.org/10.1038/s41467-018-07641-9
Johansen, J. R., Strunecký, O., Bohunická, M., Čapková, K. Č., Raabová, L., Dvoćák, P., & Komárek, J. (2017). A revision of the genus Geitlerinema and a description of the genus Anagnostidinema gen. nov. (Oscillatoriophycidae, Cyanobacteria). Fottea, 17(1), 114-126. https://doi.org/10.5507/fot.2016.025
Jung, P., Mikhailyuk, T., Emrich, D., Baumann, K., Dultz, S., & Büdel, B. (2020). Shifting boundaries: Ecological and geographical range extension based on three new species in the cyanobacterial genera Cyanocohniella, Oculatella, and Aliterella. Journal of Phycology, 56(5), 1216-1231. https://doi.org/10.1111/jpy.13025
Kang, D. D., Froula, J., Egan, R., & Wang, Z. (2015). MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities. PeerJ, 3, e1165. https://doi.org/10.7717/peerj.1165
Khomutovska, N., Sandzewicz, M., Lach, L., Suska-Malawska, M., Chmielewska, M., Mazur-Marzec, H., Ceglowska, M., Niyatbekov, T., Wood, S. A., Puddick, J., Kwiatowski, J., & Jasser, I. (2020). Limited microcystin, anatoxin and cylindrospermopsin production by cyanobacteria from microbial mats in cold deserts. Toxins, 12(4), 244. https://doi.org/10.3390/toxins12040244
Kim, M., Oh, H. S., Park, S. C., & Chun, J. (2014). Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. International Journal of Systematic and Evolutionary Microbiology, 64(Pt 2), 346-351. https://doi.org/10.1099/ijs.0.059774-0
Klaus, J. S., Janse, I., & Fouke, B. W. (2011). Coral black band disease microbial communities and genotypic variability of the dominant cyanobacteria (CD1C11). Buletin of Marine Science, 87(4), 795-821. https://doi.org/10.5343/bms.2010.1050
Kleinteich, J., Puddick, J., Wood, S. A., Hildebrand, F., Laughinghouse, H. D., IV, Pearce, D. A., Dietrich, D. R., & Wilmotte, A. (2018). Toxic cyanobacteria in Svalbard: Chemical diversity of microcystins etected using a liquid chromatography mass spectrometry precursor ion screening method. Toxins, 10(4), 147. https://doi.org/10.3390/toxins10040147
Kozlov, A. M., Darriba, D., Flouri, T., Morel, B., & Stamatakis, A. (2019). RAxML-NG: A fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference. Bioinformatics, 35(21), 4453-4455. https://doi.org/10.1093/bioinformatics/btz305
Kramarsky-Winter, E., Arotsker, L., Rasoulouniriana, D., Siboni, N., Loya, Y., & Kushmaro, A. (2014). The possible role of cyanobacterial filaments in coral black band disease pathology. Microbial Ecology, 67(1), 177-185. https://doi.org/10.1007/s00248-013-0309-x
Kuffner, I. B., Walters, L. J., Becerro, M. A., Paul, V. J., Ritson-Williams, R., & Beach, K. S. J. (2006). Inhibition of coral recruitment by macroalgae and cyanobacteria. Marine Ecology Progress Series, 323, 107-117. https://doi.org/10.3354/meps323107
Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K. (2018). MEGA X: Molecular evolutionary genetics analysis across computing platforms. Molecular Biology and Evolution, 35(6), 1547-1549. https://doi.org/10.1093/molbev/msy096
Lefler, F. W., Barbosa, M., Berthold, D. E., & Laughinghouse, H. D. (2020). Genome sequences of two Microcystis aeruginosa (Chroococcales, cyanobacteria) strains from Florida (United States) with disparate toxigenic potentials. Microbial Resource Announcements, 9(39), e00844-00820. https://doi.org/10.1128/MRA.00844-20
Lefler, F. W., Berthold, D. E., & Laughinghouse Iv, H. D. (2021). The occurrence of Affixifilum gen. Nov. and Neolyngbya (Oscillatoriaceae) in South Florida (USA), with the description of A. floridanum sp. nov. and N. biscaynensis sp. nov. Journal of Phycology, 57(1), 92-110. https://doi.org/10.1111/jpy.13065
Li, D., Liu, C. M., Luo, R., Sadakane, K., & Lam, T.-W. (2015). MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics, 31(10), 1674-1676. https://doi.org/10.1093/bioinformatics/btv033
Lui, L. M., Nielsen, T. N., & Arkin, A. P. (2021). A method for achieving complete microbial genomes and improving bins from metagenomics data. PLoS Computational Biology, 17(5), e1008972. https://doi.org/10.1371/journal.pcbi.1008972
Meyer, J. L., Gunasekera, S. P., Brown, A. L., Ding, Y., Miller, S., Teplitski, M., & Paul, V. J. (2023). Cryptic diversity of black band disease cyanobacteria in Siderastrea siderea corals revealed by chemical ecology and comparative genome-resolved metagenomics. Marine Drugs, 21(2), 76. https://www.mdpi.com/1660-3397/21/2/76
Meyer, J. L., Gunasekera, S. P., Scott, R. M., Paul, V. J., & Teplitski, M. (2016). Microbiome shifts and the inhibition of quorum sensing by black band disease cyanobacteria. The ISME Journal, 10(5), 1204-1216. https://doi.org/10.1038/ismej.2015.184
Meyer, J. L., Paul, V. J., Raymundo, L. J., & Teplitski, M. (2017). Comparative metagenomics of the polymicrobial black band disease of corals. Frontiers in Microbiology, 8, 618. https://doi.org/10.3389/fmicb.2017.00618
Miller, A. W., & Richardson, L. L. (2012). Fine structure analysis of black band disease (BBD) infected coral and coral exposed to the BBD toxins microcystin and sulfide. Journal of Invertebrate Pathology, 109(1), 27-33. https://doi.org/10.1016/j.jip.2011.09.007
Miller, M. A., Pfeiffer, W., & Schwartz, T. (2010). Creating the CIPRES science gateway for inference of large phylogenetic trees. In In 2010 gateway computing environments workshop (GCE) (pp. 1-8). Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/GCE.2010.5676129
Muller, E. M., & van Woesik, R. (2011). Black-band disease dynamics: Prevalence, incidence, and acclimatization to light. Journal of Experimental Marine Biology and Ecology, 397(1), 52-57. https://doi.org/10.1016/j.jembe.2010.11.002
Nübel, U., Garcia-Pichel, F., & Muyzer, G. (1997). PCR primers to amplify 16S rRNA genes from cyanobacteria. Applied and Environmental Microbiology, 63(8), 3327-3332. https://doi.org/10.1128/aem.63.8.3327-3332.1997
Nurk, S., Meleshko, D., Korobeynikov, A., & Pevzner, P. A. (2017). metaSPAdes: A new versatile metagenomic assembler. Genome Research, 27(5), 824-834. https://doi.org/10.1101/gr.213959.116
Paerl, H. W., & Paul, V. J. (2012). Climate change: Links to global expansion of harmful cyanobacteria. Water Research, 46(5), 1349-1363. https://doi.org/10.1016/j.watres.2011.08.002
Parks, D. H., Chuvochina, M., Chaumeil, P. A., Rinke, C., Mussig, A. J., & Hugenholtz, P. (2020). A complete domain-to-species taxonomy for bacteria and archaea. Nature Biotechnology, 38(9), 1079-1086. https://doi.org/10.1038/s41587-020-0501-8
Parks, D. H., Chuvochina, M., Rinke, C., Mussig, A. J., Chaumeil, P. A., & Hugenholtz, P. (2022). GTDB: An ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy. Nucleic Acids Research, 50(D1), D785-D794. https://doi.org/10.1093/nar/gkab776
Parks, D. H., Imelfort, M., Skennerton, C. T., Hugenholtz, P., & Tyson, G. W. (2015). CheckM: Assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Research, 25(7), 1043-1055. https://doi.org/10.1101/gr.186072.114
Pietrasiak, N., Osorio-Santos, K., Shalygin, S., Martin, M. P. & Johansen, J. R. 2019. When is a lineage a species? A case study in Myxacorys gen. nov. (Synechococcales: Cyanobacteria) with the description of two new species from the Americas. Journal of Phycology 55(5):976-996. https://doi.org/10.1111/jpy.12897
Quiblier, C., Wood, S., Echenique-Subiabre, I., Heath, M., Villeneuve, A., & Humbert, J. F. (2013). A review of current knowledge on toxic benthic freshwater cyanobacteria - ecology, toxin production and risk management. Water Research, 47(15), 5464-5479. https://doi.org/10.1016/j.watres.2013.06.042
Rajendhran, J., & Gunasekaran, P. (2011). Microbial phylogeny and diversity: Small subunit ribosomal RNA sequence analysis and beyond. Microbiological Research, 166(2), 99-110. https://doi.org/10.1016/j.micres.2010.02.003
Rasoulouniriana, D., Siboni, N., Ben-Dov, E., Kramarsky-Winter, E., Loya, Y., & Kushmaro, A. (2009). Pseudoscillatoria coralii gen. nov., sp. nov., a cyanobacterium associated with coral black band disease (BBD). Diseases of Aquatic Organisms, 87(1-2), 91-96. https://doi.org/10.3354/dao02089
Richardson, L. L., Miller, A. W., Broderick, E., Kaczmarsky, L., Gantar, M., Stanic, D., & Sekar, R. (2009). Sulfide, microcystin, and the etiology of black band disease. Diseases of Aquatic Organisms, 87(1-2), 79-90. https://doi.org/10.3354/dao02083
Richardson, L. L., Sekar, R., Myers, J. L., Gantar, M., Voss, J. D., Kaczmarsky, L., Remily, E. R., Boyer, G. L., & Zimba, P. V. (2007). The presence of the cyanobacterial toxin microcystin in black band disease of corals. FEMS Microbiology Ecology, 272(2), 182-187. https://doi.org/10.1111/j.1574-6968.2007.00751
Richardson, L. L., Stanic, D., May, A., Brownell, A., Gantar, M., & Campagna, S. R. (2014). Ecology and physiology of the pathogenic cyanobacterium Roseofilum reptotaenium. Life, 4(4), 968-987. https://doi.org/10.3390/life4040968
Rodríguez, S., & Cróquer, A. (2007). Dynamics of black band disease in a Diploria strigosa population subjected to annual upwelling on the northeastern coast of Venezuela. Coral Reefs, 27(2), 381-388. https://doi.org/10.1007/s00338-007-0341-8
Ronquist, F., & Huelsenbeck, J. P. (2003). MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics, 19(12), 1572-1574. https://doi.org/10.1093/bioinformatics/btg180
Sato, Y., Civiello, M., Bell, S. C., Willis, B. L., & Bourne, D. G. (2016). Integrated approach to understanding the onset and pathogenesis of black band disease in corals. Environmental Microbiology, 18(3), 752-765. https://doi.org/10.1111/1462-2920.13122
Sato, Y., Willis, B. L., & Bourne, D. G. (2010). Successional changes in bacterial communities during the development of black band disease on the reef coral, Montipora hispida. The ISME Journal, 4(2), 203-214. https://doi.org/10.1038/ismej.2009.103
Sieber, C. M. K., Probst, A. J., Sharrar, A., Thomas, B. C., Hess, M., Tringe, S. G., & Banfield, J. F. (2018). Recovery of genomes from metagenomes via a dereplication, aggregation and scoring strategy. Nature Microbiology, 3(7), 836-843. https://doi.org/10.1038/s41564-018-0171-1
Stanic, D., Oehrle, S., Gantar, M., & Richardson, L. L. (2011). Microcystin production and ecological physiology of Caribbean black band disease cyanobacteria. Environmental Microbiology, 13(4), 900-910. https://doi.org/10.1111/j.1462-2920.2010.02388.x
Strunecky, O., Ivanova, A. P., & Mares, J. (2022). An updated classification of cyanobacterial orders and families based on phylogenomic and polyphasic analysis. Journal of Phycology, 59, 12-51. https://doi.org/10.1111/jpy.13304
Sussman, M., Bourne, D. G., & Willis, B. L. (2006). A single cyanobacterial ribotype is associated with both red and black bands on diseased corals from Palau. Diseases of Aquatic Organisms, 69(1), 111-118. https://doi.org/10.3354/dao069111
Tamura, K., Stecher, G., & Kumar, S. (2021). MEGA11: Molecular Evolutionary Genetics Analysis version 11. Molecular Biology and Evolution, 38(7), 3022-3027. https://doi.org/10.1093/molbev/msab120
Taylor, D. L. (1983). The black band disease of Atlantic reef corals. II. Isolation, cultivation, and growth of Phormidium corallyticum. Marine Ecology, 4(4), 321-328. https://doi.org/10.1111/j.1439-0485.1983.tb00117.x
Vick, S. H. W., Greenfield, P., Tran-Dinh, N., Tetu, S. G., Midgley, D. J., & Paulsen, I. T. (2018). The Coal Seam Microbiome (CSMB) reference set, a lingua franca for the microbial coal-to-methane community. International Journal of Coal Biology, 186, 41-50. https://doi.org/10.1016/j.coal.2017.12.003
Whitton, B. A. (2012). Ecology of cyanobacteria II: Their diversity in space and time. Springer Science & Business Media.
Wilmotte, A., Van der Auwera, G., & De Wachter, R. (1993). Structure of the 16S ribosomal RNA of the thermophilic cyanobacterium Chlorogloeopsis HTF (‘Mastigocladus laminosus HTF’) strain PCC7518, and phylogenetic analysis. FEBS Letters, 317(1-2), 96-100. https://doi.org/10.1016/0014-5793(93)81499-p
Wood, S. A., Kuhajek, J. M., de Winton, M., & Phillips, N. R. (2012). Species composition and cyanotoxin production in periphyton mats from three lakes of varying trophic status. FEMS Microbiology Ecology, 79(2), 312-326. https://doi.org/10.1111/j.1574-6941.2011.01217.x
Wu, Y. W., Tang, Y. H., Tringe, S. G., Simmons, B. A., & Singer, S. W. (2014). MaxBin: An automated binning method to recover individual genomes from metagenomes using an expectation-maximization algorithm. Microbiome, 2, 1-18. https://doi.org/10.1186/2049-2618-2-26
Yarza, P., Yilmaz, P., Pruesse, E., Glockner, F. O., Ludwig, W., Schleifer, K. H., Whitman, W. B., Euzeby, J., Amann, R., & Rossello-Mora, R. (2014). Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nature Reviews Microbiology, 12(9), 635-645. https://doi.org/10.1038/nrmicro3330
Zehr, J. P. (2011). Nitrogen fixation by marine cyanobacteria. Trends in Microbiology, 19(4), 162-173. https://doi.org/10.1016/j.tim.2010.12.004

Auteurs

Yi Wang (Y)

Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA.

David E Berthold (DE)

Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA.

Jing Hu (J)

Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA.
Department of Marine Science, Ocean College, Zhejiang University, Zhoushan, People's Republic of China.

Forrest W Lefler (FW)

Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA.

I-Shuo Huang (IS)

Office of Regulatory Science, United States Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, Maryland, USA.

H Dail Laughinghouse (HD)

Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA.
Department of Botany, National Musuem of Natural History, Smithsonian Institution, Washington, DC, USA.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing
Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Photosynthesis Ribulose-Bisphosphate Carboxylase Carbon Dioxide Molecular Dynamics Simulation Cyanobacteria

Classifications MeSH