The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Dynamic metabolic exchange governs a marine algal-bacterial interaction
Open accessAbstract
Emiliania huxleyi is a model coccolithophore micro-alga that generates vast blooms in the ocean. Bacteria are not considered among the major factors influencing coccolithophore physiology. Here we show through a laboratory model system that the bacterium Phaeobacter inhibens, a well-studied member of the Roseobacter group, intimately interacts with E. huxleyi. While attached to the algal cell, bacteria initially promote algal growth but ultimately kill their algal host. Both algal growth enhancement and algal death are driven by the bacterially-produced phytohormone indole-3-acetic acid. Bacterial production of indole-3-acetic acid and attachment to algae are significantly increased by tryptophan, which is exuded from the algal cell. Algal death triggered by bacteria involves activation of pathways unique to oxidative stress response and programmed cell death. Our observations suggest that bacteria greatly influence the physiology and metabolism of E. huxleyi. Coccolithophore-bacteria interactions should be further studied in the environment to determine whether they impact micro-algal population dynamics on a global scale.
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Cites
Identification of programmed cell death in situ via specific labeling of nuclear DNA fragmentation.
Gavrieli, Y., Sherman, Y., & Ben-Sasson, S. A. (1992) · The Journal of cell biology · doi:10.1083/jcb.119.3.493 · Cited by 9,444
Primary production of the biosphere: Integrating terrestrial and oceanic components
Field, C. B., Behrenfeld, M. J., Randerson, J. T., & Falkowski, P. (1998) · Science · doi:10.1126/science.281.5374.237 · Cited by 6,371
Kraken: ultrafast metagenomic sequence classification using exact alignments
Wood, D. E., & Salzberg, S. L. (2014) · Genome Biology · doi:10.1186/gb-2014-15-3-r46 · Cited by 4,521
Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate
Charlson, R. J., Lovelock, J. E., Andreae, M. O., & Warren, S. G. (1987) · Nature · doi:10.1038/326655a0 · Cited by 4,305
The Oceanic Sink for Anthropogenic CO 2
Sabine, C. L., Feely, R. A., Gruber, N., Key, R. M., Lee, K., Bullister, J. L., Wanninkhof, R., Wong, C. S., Wallace, D. W. R., Tilbrook, B., et al. (2004) · Science · doi:10.1126/science.1097403 · Cited by 4,035
O'Toole, G. A., & Kolter, R. (1998) · Molecular Microbiology · doi:10.1046/j.1365-2958.1998.00797.x · Cited by 2,537
Self-citationInteractive metagenomic visualization in a Web browser
Ondov, B. D., Bergman, N. H., & Phillippy, A. M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-385 · Cited by 2,144
Indole-3-acetic acid in microbial and microorganism-plant signaling
Spaepen, S., Vanderleyden, J., & Remans, R. (2007) · FEMS Microbiology Reviews · doi:10.1111/j.1574-6976.2007.00072.x · Cited by 1,954
Role of Pseudomonas putida Indoleacetic Acid in Development of the Host Plant Root System
Patten, C. L., & Glick, B. R. (2002) · Applied and Environmental Microbiology · doi:10.1128/aem.68.8.3795-3801.2002 · Cited by 1,806
The Arabidopsis F-box protein TIR1 is an auxin receptor
Kepinski, S., & Leyser, O. (2005) · Nature · doi:10.1038/nature03542 · Cited by 1,714
Cited by
Samo, T. J., Kimbrel, J. A., Nilson, D. J., Pett‐Ridge, J., Weber, P. K., & Mayali, X. (2018) · Environmental Microbiology · doi:10.1111/1462-2920.14357 · Cited by 87
Omics for Bioprospecting and Drug Discovery from Bacteria and Microalgae
Maghembe, R., Damian, D., Makaranga, A., Nyandoro, S. S., Lyantagaye, S. L., Kusari, S., & Hatti-Kaul, R. (2020) · Antibiotics · doi:10.3390/antibiotics9050229 · Cited by 66
Daly, G., Ghini, V., Adessi, A., Fondi, M., Buchan, A., & Viti, C. (2022) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuac020 · Cited by 30
Metadata
- Authors
- Segev, E., Wyche, T. P., Kim, K. H., Petersen, J., Ellebrandt, C., Vlamakis, H., Barteneva, N., Paulson, J. N., Chai, L., Clardy, J., & Kolter, R.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2016-11-18
- Volume
- 5
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W2549144994
- Cited by
- 284
- References
- 78
- FWCI
- 19.88
- Type
- journal article
- Language
- en
- Open access
- gold
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- Segev, E., Wyche, T. P., Kim, K. H., Petersen, J., Ellebrandt, C., Vlamakis, H., Barteneva, N., Paulson, J. N., Chai, L., Clardy, J., & Kolter, R. (2016). Dynamic metabolic exchange governs a marine algal-bacterial interaction. eLife. https://doi.org/10.7554/elife.17473
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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