Literature DB >> 27008402

Identification of a Marine Cyanophage in a Protist Single-cell Metagenome Assembly.

Debashish Bhattacharya1, Dana C Price1, Cedric Bicep2, Eric Bapteste2, Mihir Sarwade3, Veeran D Rajah3, Hwan Su Yoon4.   

Abstract

Analysis of microbial biodiversity is hampered by a lack of reference genomes from most bacteria, viruses, and algae. This necessitates either the cultivation of a restricted number of species for standard sequencing projects or the analysis of highly complex environmental DNA metagenome data. Single-cell genomics (SCG) offers a solution to this problem by constraining the studied DNA sample to an individual cell and its associated symbionts, prey, and pathogens. We used SCG to study marine heterotrophic amoebae related to Paulinella ovalis (A. Wulff) P.W. Johnson, P.E. Hargraves & J.M. Sieburth (Rhizaria). The genus Paulinella is best known for its photosynthetic members such as P. chromatophora Lauterborn that is the only case of plastid primary endosymbiosis known outside of algae and plants. Here, we studied the phagotrophic sister taxa of P. chromatophora that are related to P. ovalis and found one SCG assembly to contain α-cyanobacterial DNA. These cyanobacterial contigs are presumably derived from prey. We also uncovered an associated cyanophage lineage (provisionally named phage PoL_MC2). Phylogenomic analysis of the fragmented genome assembly suggested a minimum genome size of 200 Kbp for phage PoL_MC2 that encodes 179 proteins and is most closely related to Synechococcus phage S-SM2. For this phage, gene network analysis demonstrates a highly modular genome structure typical of other cyanophages. Our work demonstrates that SCG is a powerful approach for discovering algal and protist biodiversity and for elucidating biotic interactions in natural samples.
© 2012 Phycological Society of America.

Entities:  

Keywords:  Paulinella; cyanophage; gene network; horizontal gene transfer; phylogenomics; single cell genomics

Year:  2013        PMID: 27008402     DOI: 10.1111/jpy.12028

Source DB:  PubMed          Journal:  J Phycol        ISSN: 0022-3646            Impact factor:   2.923


  4 in total

1.  Sequence comparative analysis using networks: software for evaluating de novo transcript assembly from next-generation sequencing.

Authors:  Ian Misner; Cédric Bicep; Philippe Lopez; Sébastien Halary; Eric Bapteste; Christopher E Lane
Journal:  Mol Biol Evol       Date:  2013-05-10       Impact factor: 16.240

2.  Single cell ecogenomics reveals mating types of individual cells and ssDNA viral infections in the smallest photosynthetic eukaryotes.

Authors:  L Felipe Benites; Nicole Poulton; Karine Labadie; Michael E Sieracki; Nigel Grimsley; Gwenael Piganeau
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-10-07       Impact factor: 6.237

Review 3.  Paulinella, a model for understanding plastid primary endosymbiosis.

Authors:  Arwa Gabr; Arthur R Grossman; Debashish Bhattacharya
Journal:  J Phycol       Date:  2020-05-05       Impact factor: 3.173

Review 4.  Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future.

Authors:  Sharon A Huws; Christopher J Creevey; Linda B Oyama; Itzhak Mizrahi; Stuart E Denman; Milka Popova; Rafael Muñoz-Tamayo; Evelyne Forano; Sinead M Waters; Matthias Hess; Ilma Tapio; Hauke Smidt; Sophie J Krizsan; David R Yáñez-Ruiz; Alejandro Belanche; Leluo Guan; Robert J Gruninger; Tim A McAllister; C Jamie Newbold; Rainer Roehe; Richard J Dewhurst; Tim J Snelling; Mick Watson; Garret Suen; Elizabeth H Hart; Alison H Kingston-Smith; Nigel D Scollan; Rodolpho M do Prado; Eduardo J Pilau; Hilario C Mantovani; Graeme T Attwood; Joan E Edwards; Neil R McEwan; Steven Morrisson; Olga L Mayorga; Christopher Elliott; Diego P Morgavi
Journal:  Front Microbiol       Date:  2018-09-25       Impact factor: 5.640

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.