2015
DOI: 10.1111/gcb.12983
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Bridging the gap between omics and earth system science to better understand how environmental change impacts marine microbes

Abstract: The advent of genomic‐, transcriptomic‐ and proteomic‐based approaches has revolutionized our ability to describe marine microbial communities, including biogeography, metabolic potential and diversity, mechanisms of adaptation, and phylogeny and evolutionary history. New interdisciplinary approaches are needed to move from this descriptive level to improved quantitative, process‐level understanding of the roles of marine microbes in biogeochemical cycles and of the impact of environmental change on the marine… Show more

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Cited by 60 publications
(42 citation statements)
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“…, Mock et al. ). Hence, the hybridization strategy proposed here can also be implemented to increase the scope and causal inferential strength of studies that make extensive use of DNA‐sequencing techniques, which are amongst the most important contemporary sources of “big data” in ecology.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…, Mock et al. ). Hence, the hybridization strategy proposed here can also be implemented to increase the scope and causal inferential strength of studies that make extensive use of DNA‐sequencing techniques, which are amongst the most important contemporary sources of “big data” in ecology.…”
Section: Discussionmentioning
confidence: 99%
“…Opportunities arise with studies examining the molecular mechanisms regulating the response of organism to stress. For example, recent studies on microbes and corals have integrated observational and experimental approaches to evaluate the effects of global warming on gene expression (Barshis et al 2013, Mock et al 2016. Hence, the hybridization strategy proposed here can also be implemented to increase the scope and causal inferential strength of studies that make extensive use of DNA-sequencing techniques, which are amongst the most important contemporary sources of "big data" in ecology.…”
Section: Discussionmentioning
confidence: 99%
“…This has been complemented by the discovery of new silicifying species (Ichinomiya et al, 2011), most notably silicon accumulation in some strains of the hugely ecologically important cyanobacteria Synechococcus (Baines et al, 2012). Combined with metagenomic surveys and geochemical monitoring (Mutsuo et al, 2015;Sunagawa et al, 2015) it will be possible to gain a much deeper knowledge of the role of different marine groups in silicon biogeochemistry and how competitive interactions govern their ecology, distribution and response to changing climatic conditions (Mock et al, 2016).…”
Section: Future Directionsmentioning
confidence: 99%
“…Microbial species dominate the ocean numerically and the majority of marine primary production is microbial in origin, produced by cyanobacteria and microalgae (Duarte and Cebrian, 1996;DeLong, 2009;Amaral-Zettler et al, 2010). Microorganisms may act as sentinels of system ecological status because they respond rapidly to natural and anthropogenic environmental pressures in terms of diversity, physiology, and function (Mock and Kirkham, 2012;Nogales et al, 2011;Mock et al, 2015). They hold promise as ecosystem indicators with regard to measures of biodiversity, toxic species, pathogens, and metabolic properties that indicate ecosystem health, such as biodegradation capacity and resistance to metals and antibiotics (Ininbergs et al, 2015;Tan et al, 2015;Caruso et al, 2016).…”
Section: Current Limitations In Marine Ecological Quality Assessmentmentioning
confidence: 99%
“…The Global Ocean Sampling expedition helped establish DNA sequencing as a fundamental tool in marine ecosystem research (Rusch et al, 2007;Dupont et al, 2015). Potential benefits of DNA sequencing of microbial communities to marine assessment programs include characterization of food webs, assessing responses to disruption and stress, and detection of sensitive, rare, threatened, toxic, or invasive taxa (Hulme, 2006;Kudela et al, 2010;Mock and Kirkham, 2012;Lindeque et al, 2013;Muller-Karger et al, 2014;Pawlowski et al, 2014;Chown et al, 2015;Mock et al, 2015;Tan et al, 2015;Zaiko et al, 2015;Bowers et al, 2016;Bucklin et al, 2016).…”
Section: Applications Of Dna Sequencing To Marine Assessment Programsmentioning
confidence: 99%