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    AuthorAnstey, Nicholas M. (1)Auburn, Sarah (1)Bagchi, Samik (1)Barber, Bridget E. (1)Benavente, Ernest Diez (1)View MoreDepartment
    Biological and Environmental Sciences and Engineering (BESE) Division (3)
    Bioscience Program (2)Computational Bioscience Research Center (CBRC) (1)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division (1)Environmental Science and Engineering Program (1)View MoreJournal
    Scientific Reports (3)
    KAUST Acknowledged Support Unit
    Bioscience Core Laboratory (3)
    Coastal and Marine Laboratory (1)Competitive Research (1)KAUST Grant NumberBAS/1/1020-01-01 (1)CRG_R2_13_SAIK_KAUST_1 (1)PublisherSpringer Nature (2)Springer Science and Business Media LLC (1)SubjectEnvironmental microbiology (1)Marine biology (1)View MoreTypeArticle (3)Year (Issue Date)2019 (1)2016 (2)Item AvailabilityOpen Access (3)

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    Metatranscriptomics reveals the molecular mechanism of large granule formation in granular anammox reactor

    Bagchi, Samik; Lamendella, Regina; Strutt, Steven; van Loosdrecht, Mark C.M.; Saikaly, Pascal (Scientific Reports, Springer Nature, 2016-06-20) [Article]
    Granules enriched with anammox bacteria are essential in enhancing the treatment of ammonia-rich wastewater, but little is known about how anammox bacteria grow and multiply inside granules. Here, we combined metatranscriptomics, quantitative PCR and 16S rRNA gene sequencing to study the changes in community composition, metabolic gene content and gene expression in a granular anammox reactor with the objective of understanding the molecular mechanism of anammox growth and multiplication that led to formation of large granules. Size distribution analysis revealed the spatial distribution of granules in which large granules having higher abundance of anammox bacteria (genus Brocadia) dominated the bottom biomass. Metatranscriptomics analysis detected all the essential transcripts for anammox metabolism. During the later stage of reactor operation, higher expression of ammonia and nitrite transport proteins and key metabolic enzymes mainly in the bottom large granules facilitated anammox bacteria activity. The high activity resulted in higher growth and multiplication of anammox bacteria and expanded the size of the granules. This conceptual model for large granule formation proposed here may assist in the future design of anammox processes for mainstream wastewater treatment.
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    Shedding light on cell compartmentation in the candidate phylum Poribacteria by high resolution visualisation and transcriptional profiling

    Jahn, Martin T.; Markert, Sebastian M.; Ryu, Tae Woo; Ravasi, Timothy; Stigloher, Christian; Hentschel, Ute; Moitinho-Silva, Lucas (Scientific Reports, Springer Nature, 2016-10-31) [Article]
    Assigning functions to uncultivated environmental microorganisms continues to be a challenging endeavour. Here, we present a new microscopy protocol for fluorescence in situ hybridisation-correlative light and electron microscopy (FISH-CLEM) that enabled, to our knowledge for the first time, the identification of single cells within their complex microenvironment at electron microscopy resolution. Members of the candidate phylum Poribacteria, common and uncultivated symbionts of marine sponges, were used towards this goal. Cellular 3D reconstructions revealed bipolar, spherical granules of low electron density, which likely represent carbon reserves. Poribacterial activity profiles were retrieved from prokaryotic enriched sponge metatranscriptomes using simulation-based optimised mapping. We observed high transcriptional activity for proteins related to bacterial microcompartments (BMC) and we resolved their subcellular localisation by combining FISH-CLEM with immunohistochemistry (IHC) on ultra-thin sponge tissue sections. In terms of functional relevance, we propose that the BMC-A region may be involved in 1,2-propanediol degradation. The FISH-IHC-CLEM approach was proven an effective toolkit to combine -omics approaches with functional studies and it should be widely applicable in environmental microbiology.
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    Whole genome sequencing of amplified Plasmodium knowlesi DNA from unprocessed blood reveals genetic exchange events between Malaysian Peninsular and Borneo subpopulations

    Benavente, Ernest Diez; Gomes, Ana Rita; De Silva, Jeremy Ryan; Grigg, Matthew; Walker, Harriet; Barber, Bridget E.; William, Timothy; Yeo, Tsin Wen; de Sessions, Paola Florez; Ramaprasad, Abhinay; Ibrahim, Amy; Charleston, James; Hibberd, Martin L.; Pain, Arnab; Moon, Robert W.; Auburn, Sarah; Ling, Lau Yee; Anstey, Nicholas M.; Clark, Taane G.; Campino, Susana (Scientific Reports, Springer Science and Business Media LLC, 2019-07-08) [Article]
    The zoonotic Plasmodium knowlesi parasite is the most common cause of human malaria in Malaysia. Genetic analysis has shown that the parasites are divided into three subpopulations according to their geographic origin (Peninsular or Borneo) and, in Borneo, their macaque host (Macaca fascicularis or M. nemestrina). Whilst evidence suggests that genetic exchange events have occurred between the two Borneo subpopulations, the picture is unclear in less studied Peninsular strains. One difficulty is that P. knowlesi infected individuals tend to present with low parasitaemia leading to samples with insufficient DNA for whole genome sequencing. Here, using a parasite selective whole genome amplification approach on unprocessed blood samples, we were able to analyse recent genomes sourced from both Peninsular Malaysia and Borneo. The analysis provides evidence that recombination events are present in the Peninsular Malaysia parasite subpopulation, which have acquired fragments of the M. nemestrina associated subpopulation genotype, including the DBPβ and NBPXa erythrocyte invasion genes. The NBPXb invasion gene has also been exchanged within the macaque host-associated subpopulations of Malaysian Borneo. Our work provides strong evidence that exchange events are far more ubiquitous than expected and should be taken into consideration when studying the highly complex P. knowlesi population structure.
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