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Ocean microbes are fundamental for the functioning of the Earth system. Yet, our understanding of how they are reacting to global change in terms of evolution is limited. Microbes typically grow in large populations and reproduce quickly, which may allow them to rapidly adapt to environmental stressors compared to larger organisms. However, genetic evidence of contemporary evolution in wild microbes is scarce. We must begin coordinated efforts to establish new microbial time-series and explore novel tools, experiments, and data to fill this knowledge gap. The development of coordinated microbial 'genomic' observatories will provide the unprecedented opportunity to track contemporary microbial evolution in the ocean and explore the role of evolution in enabling wild microbes to respond to global change.
Ocean, Evolution, Oceans and Seas, DNA, Adaptation, Physiological, Microbes, http://metadata.un.org/sdg/14, Metagenomics, Time-series, Conserve and sustainably use the oceans, seas and marine resources for sustainable development, Global change, Genomic Observatory
Ocean, Evolution, Oceans and Seas, DNA, Adaptation, Physiological, Microbes, http://metadata.un.org/sdg/14, Metagenomics, Time-series, Conserve and sustainably use the oceans, seas and marine resources for sustainable development, Global change, Genomic Observatory
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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