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This is a protocol for the enrichment of phenazine-1-carboxylic acid oxidizing microbes from a soil sample.

Diverse microbial ecosystems underpin life in the sea. Among these microbes are many unicellular eukaryotes that span the diversity of the eukaryotic tree of life. However, genetic tractability has been limited to a few species, which do not represent eukaryotic diversity or environmentally relevant taxa. Here, we report on the development of genetic tools in a range of protists primarily from marine environments. We present evidence for foreign DNA delivery and expression in 13 species never before transformed and for advancement of tools for eight other species, as well as potential reasons for why transformation of yet another 17 species tested was not achieved. Our resource in genetic manipulation will provide insights into the ancestral eukaryotic lifeforms, general eukaryote cell biology, protein diversification and the evolution of cellular pathways., This collaborative effort was supported by the Gordon and Betty Moore Foundation EMS Program of the Marine Microbiology Initiative (grant nos. GBMF4972 and 4972.01 to F.-Y.B.; GBMF4970 and 4970.01 to M.A. and A.Z.W.; GBMF3788 to A.Z.W.; GBMF 4968 and 4968.01 to H.C.; GBMF4984 to V.H.; GBMF4974 and 4974.01 to C. Brownlee; GBMF4964 to Y. Hirakawa; GBMF4961 to T. Mock; GBMF4958 to P.S.; GBMF4957 to A.T.; GBMF4960 to G.J.S.; GBMF4979 to K.C.; GBMF4982 and 4982.01 to J.L.C.; GBMF4964 to P.J.K.; GBMF4981 to P.v.D.; GBMF5006 to A.E.A.; GBMF4986 to C.M.; GBMF4962 to J.A.F.R.; GBMF4980 and 4980.01 to S.L.; GBMF 4977 and 4977.01 to R.F.W.; GBMF4962.01 to C.H.S.; GBMF4985 to J.M.; GBMF4976 and 4976.01 to C.H.; GBMF4963 and 4963.01 to V.E.; GBMF5007 to C.L.D.; GBMF4983 and 4983.01 to J.L.; GBMF4975 and 4975.01 to A.D.T.; GBMF4973 and 4973.01 to I.R.-T. and GBMF4965 to N.K.), by The Leverhulme Trust (RPG-2017-364) to T. Mock and A. Hopes, and by ERD funds (16_019/0000759) from the Czech Ministry of Education to J.L.

Identifying co-regulated genes provides a useful approach for defining pathway-specific machinery in an organism. To be efficient, this approach relies on thorough genome annotation, a process much slower than genome sequencing per se. Tetrahymena thermophila, a unicellular eukaryote, has been a useful model organism and has a fully sequenced but sparsely annotated genome. One important resource for studying this organism has been an online transcriptomic database. We have developed an automated approach to gene annotation in the context of transcriptome data in T. thermophila, called the Co-regulation Data Harvester (CDH). Beginning with a gene of interest, the CDH identifies co-regulated genes by accessing the Tetrahymena transcriptome database. It then identifies their closely related genes (orthologs) in other organisms by using reciprocal BLAST searches. Finally, it collates the annotations of those orthologs’ functions, which provides the user with information to help predict the cellular role of the initial query. The CDH, which is freely available, represents a powerful new tool for analyzing cell biological pathways in Tetrahymena. Moreover, to the extent that genes and pathways are conserved between organisms, the inferences obtained via the CDH should be relevant, and can be explored, in many other systems. Keywords: Bioinformatics, Evolution, Protists, Automation

This is a collection of media, reagents, and protocols for the cultivation and manipulation of the diatom Seminavis robusta. Our hope is that these documents will help future researchers develop genetic tools for studying this organism.

This protocol describes the culturing conditions used to grow S. robusta in the lab for all experiments.

This is a collection of media, reagents, and protocols for the cultivation and manipulation of the diatom Seminavis robusta. Our hope is that these documents will help future researchers develop genetic tools for studying this organism.

This protocol describes how to deposit several cells of S. robusta in droplets on a petri dish, allowing the experimenter to track the growth of approximately single cell isolates with high throughput. This was used to determine drug sensitivity. We found that in, liquid culture, S. robusta is sensitive to 10 ug/mL puromycin and 250 ug/mL glyphosate. One caveat to keep in mind is that S. robusta appears more tolerant to antibiotics when grown on agar plates, being insensitive to up to 20 ug/mL of puromycin, for example. We recommend selection in liquid culture.

This protocol describes how we grew S. robusta and stored cultures at 4 C. Under these condtiions, the cells grow to a maximum density of 2-2.5 x 106 cells/mL.

Author(s): Faktorova, Drahomira; Nisbet, R Ellen R; Fernandez Robledo, Jose A; Casacuberta, Elena; Sudek, Lisa; Allen, Andrew E; Ares, Manuel; Areste, Cristina; Balestreri, Cecilia; Barbrook, Adrian C; Beardslee, Patrick; Bender, Sara; Booth, David S; Bouget, Francois-Yves; Bowler, Chris; Breglia, Susana A; Brownlee, Colin; Burger, Gertraud; Cerutti, Heriberto; Cesaroni, Rachele; Chiurillo, Miguel A; Clemente, Thomas; Coles, Duncan B; Collier, Jackie L; Cooney, Elizabeth C; Coyne, Kathryn; Docampo, Roberto; Dupont, Christopher L; Edgcomb, Virginia; Einarsson, Elin; Elustondo, Pia A; Federici, Fernan; Freire-Beneitez, Veronica; Freyria, Nastasia J; Fukuda, Kodai; Garcia, Paulo A; Girguis, Peter R; Gomaa, Fatma; Gornik, Sebastian G; Guo, Jian; Hampl, Vladimir; Hanawa, Yutaka; Haro-Contreras, Esteban R; Hehenberger, Elisabeth; Highfield, Andrea; Hirakawa, Yoshihisa; Hopes, Amanda; Howe, Christopher J; Hu, Ian; Ibanez, Jorge; Irwin, Nicholas AT; Ishii, Yuu; Janowicz, Natalia Ewa; Jones, Adam C; Kachale, Ambar; Fujimura-Kamada, Konomi; Kaur, Binnypreet; Kaye, Jonathan Z; Kazana, Eleanna; Keeling, Patrick J; King, Nicole; Klobutcher, Lawrence A; Lander, Noelia; Lassadi, Imen; Li, Zhuhong; Lin, Senjie; Lozano, Jean-Claude; Luan, Fulei; Maruyama, Shinichiro; Matute, Tamara; Miceli, Cristina; Minagawa, Jun; Moosburner, Mark; Najle, Sebastian R; Nanjappa, Deepak; Nimmo, Isabel C; Noble, Luke; Novak Vanclova, Anna MG; Nowacki, Mariusz; Nunez, Isaac; Pain, Arnab; Piersanti, Angela; Pucciarelli, Sandra; Pyrih, Jan; Rest, Joshua S | Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Identifying co-regulated genes can provide a useful approach for defining pathway-specific machinery in an organism. To be efficient, this approach relies on thorough genome annotation, which is not available for most organisms with sequenced genomes. Studies inTetrahymena thermophila,the most experimentally accessible ciliate, have generated a rich transcriptomic database covering many well-defined physiological states. Genes that are involved in the same pathway show significant co-regulation, and screens based on gene co-regulation have identified novel factors in specific pathways, for example in membrane trafficking. However, a limitation has been the relatively sparse annotation of theTetrahymenagenome, making it impractical to approach genome-wide analyses. We have therefore developed an efficient approach to analyze both co-regulation and gene annotation, called the Co-regulation Data Harvester (CDH). The CDH automates identification of co-regulated genes by accessing theTetrahymenatranscriptome database, determines their orthologs in other organisms via reciprocal BLAST searches, and collates the annotations of those orthologs' functions. Inferences drawn from the CDH reproduce and expand upon experimental findings inTetrahymena.The CDH, which is freely available, represents a powerful new tool for analyzing cell biological pathways inTetrahymena.Moreover, to the extent that genes and pathways are conserved between organisms, the inferences obtained via the CDH should be relevant, and can be explored, in many other systems.