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Unicellular organisms dominate the eukaryotic lineages. A schematic diagram of the eukaryotic tree of life showing the major groups (Dorrell & Smith (2011); Burki 2014). At present the positions of the Haptophytes, Telonemids, Cryptomonads and Centrohelids remain uncertain (Incertae sedis). Multicellularity has evolved only seven times (highlighted with filled circles); all other lineages are essentially microbial.

Unicellular organisms dominate the eukaryotic lineages. A schematic diagram of the eukaryotic tree of life showing the major groups (Dorrell & Smith (2011); Burki 2014). At present the positions of the Haptophytes, Telonemids, Cryptomonads and Centrohelids remain uncertain (Incertae sedis). Multicellularity has evolved only seven times (highlighted with filled circles); all other lineages are essentially microbial.

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Extensive sampling and metagenomics analyses of plankton communities across all aquatic environments are beginning to provide insights into the ecology of microbial communities. In particular the importance of metabolic exchanges that provide a foundation for ecological interactions between microorganisms has emerged as a key factor in forging the...

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... are the 'unseen majority' of life on Earth. As well as being numerically dominant, they also constitute the major phylogenetic diversity, even within the Eukaryotes where nearly every lineage is dominated by unicellular or microscopic species, and where multicellularity is the excep- tion rather than the rule (Fig. 1). Moreover, in a range of ecosystems including the soil and ocean biomes, microorgan- isms make the major impact on global processes such as the biogeochemical cycling of carbon, nitrogen and sulphur (Falkowski et al. 2008;van der Heijden et al. 2008). They are par- ticularly important in the aquatic environment because here a subset of ...

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... The interconnected evolutionary history of cyanobacteria and bacteria allows the formation of various complex interactions between cyanobacteria and heterotrophic bacteria, like trophallaxis, signals transduction, and transgenosis (Kouzuma and Watanabe 2015). Metagenomes, metaproteomes, and metatranscriptomes are the main ways to illustrate the interactions of phytoplankton and heterotrophic bacteria, and these methods can confirm many species existing in the environment and provide the holistic metabolic abilities of the community studied (Kazamia et al. 2016). Few of these studies were done in axenic conditions, which resulted in most of these interaction features (Grossart and Simon 2007) and bacterial ecological functions ) unknown, especially the exact interactions of these microbes (Zhu et al. 2019). ...
... Few of these studies were done in axenic conditions, which resulted in most of these interaction features (Grossart and Simon 2007) and bacterial ecological functions ) unknown, especially the exact interactions of these microbes (Zhu et al. 2019). Co-cultures of cyanobacteria and specific bacteria wellcharacterized under laboratory conditions are offering the foundation to develop ecological principles that represent the microbial community dynamics and lifestyle, and can reveal the specific interactions at the cellular and molecular levels (Kazamia et al. 2016). Therefore, only combined with the defined co-cultures in the laboratory, transcriptomic, metagenomic, and metabolomic approaches can deepen our cognition on these interactions preferably. ...
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... Yet, the interactions between cyanobacteria and heterotrophs can be far more complex since they might change over time [45] or under different culture conditions [53]. The mutualism might also occur beyond the two-species framework [55], which makes it even more challenging to understand the processes among multiple organisms. ...
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... The analysis of metagenomes, metatranscriptomes and metaproteomes on natural water bloom samples play important roles in the recognition of interactions in phytoplankton communities (Kazamia et al., 2016). However, these technologies can only let us know the overall metabolic capability and ecological state of a community (Kazamia et al., 2016), and many aspects of these interactions, especially specific interactions of the microbes within, are still unknown (Grossart and Simon, 2007;Kazamia et al., 2016;Zhang et al., 2019) because of most of these studies were performed under non-axenic conditions (Grossart and Simon, 2007;Zhang et al., 2019). ...
... The analysis of metagenomes, metatranscriptomes and metaproteomes on natural water bloom samples play important roles in the recognition of interactions in phytoplankton communities (Kazamia et al., 2016). However, these technologies can only let us know the overall metabolic capability and ecological state of a community (Kazamia et al., 2016), and many aspects of these interactions, especially specific interactions of the microbes within, are still unknown (Grossart and Simon, 2007;Kazamia et al., 2016;Zhang et al., 2019) because of most of these studies were performed under non-axenic conditions (Grossart and Simon, 2007;Zhang et al., 2019). Specific interactions can only probably be understood through physiological experiments using defined systems such as co-cultures of known and well-characterized partners in the laboratory, which can shed light on the interactions at the molecular and cellular levels (Kazamia et al., 2016). ...
... The analysis of metagenomes, metatranscriptomes and metaproteomes on natural water bloom samples play important roles in the recognition of interactions in phytoplankton communities (Kazamia et al., 2016). However, these technologies can only let us know the overall metabolic capability and ecological state of a community (Kazamia et al., 2016), and many aspects of these interactions, especially specific interactions of the microbes within, are still unknown (Grossart and Simon, 2007;Kazamia et al., 2016;Zhang et al., 2019) because of most of these studies were performed under non-axenic conditions (Grossart and Simon, 2007;Zhang et al., 2019). Specific interactions can only probably be understood through physiological experiments using defined systems such as co-cultures of known and well-characterized partners in the laboratory, which can shed light on the interactions at the molecular and cellular levels (Kazamia et al., 2016). ...
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... We hypothesize that this dynamic shift in 2-methylhopanoid producers and the rise of algae proceeded in concert. It is well known that eukaryotes depend on symbiotic microbes for nutrient acquisition and have co-evolved with those symbionts, as observed for algae, plants and animals 38,39 . For instance, eukaryotes cannot biosynthesize vitamin B 12 (cobalamin) de novo, although the majority of green algae require this nutrient for the biosynthesis of the essential amino acid methionine (Supplementary Note9) 40 . ...
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... Genome sequence analysis has revealed that the majority of the sequenced microorganisms are auxotrophic, relying on other members of the communities to acquire necessary amino acids or vitamins 14 . B-vitamins are public goods in oceanic plankton communities 15 . Eukaryotic algae are frequently found to be vitamin B auxotrophs 16 , and they form mutualistic relationships with vitaminsupplying bacteria 17 . ...
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... 11,12 Within aquatic systems, phytoplankton serves as the dominant primary producer and contributes almost 50% of global photosynthesis. 13 Algae with a planktonic nature have to directly face a variety of antibiotic challenges. The majority of current knowledge is regarding the acute toxicity of antibiotics to the single algae species, such as the strong inhibition effects of 40 μg L −1 erythromycin and 20 mg L −1 florfenicol on Isochrysis galbana and Microcystis f los-aquae, respectively. ...
... The possible explanation is based on the fact that natural waters cover highly various microbial communities, most of which could directly or indirectly function to modulate the algae nutrition, growth, and health. 13,43 In the natural environment, algae inevitably suffer from various biotic/abiotic stress, making the recruitment process essential and deserving of attention. 44 These findings emphasize besides genetic factor on the bacterial assemblage 45 that exogenous stress-induced recruitment of specific algaeassociated microbiome is also a non-negligible effective mechanism. ...
... 29 The aforementioned bacterial structure shift induced by antibiotics in turn facilitates the functions related to the algae development such as the metabolism of cofactors and vitamins, glycan biosynthesis and metabolism, metabolism of terpenoids and polyketides, transport, and catabolism, while decreases the functions related to normal physiological metabolism. 13,20,40 Taken as a whole, these findings highlight that when challenged by antibiotics, algae could employ a specific strategy to recruit beneficial bacteria to cope with antibiotic stress. ...
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Insights into the symbiotic relation between eukaryotic hosts and their microbiome lift the curtain on the crucial roles of microbes in host fitness, behavior, and ecology. However, it remains unclear whether and how abiotic stress shapes the microbiome and further affects host adaptability. This study first investigated the effect of antibiotic exposure on behavior across varying algae taxa at the community level. Chlorophyta, in particular Chlorella vulgaris, exhibited remarkable adaptability to antibiotic stress, leading to their dominance in phytoplankton communities. Accordingly, we isolated C. vulgaris strains and compared the growth of axenic and nonaxenic ones under antibiotic conditions. The positive roles of antibiotics in algal growth were apparent only in the presence of bacteria. Results of 16S rRNA sequencing further revealed that antibiotic challenges resulted in the recruitment of specific bacterial consortia in the phycosphere, whose functions were tightly linked to the host growth promotion and adaptability enhancement. In addition, the algal phycosphere was characterized with 47-fold higher enrichment capability of antibiotic resistance genes (ARGs) than the surrounding water. Under antibiotic stress, specific ARG profiles were recruited in C. vulgaris phycosphere, presumably driven by the specific assembly of bacterial consortia and mobile genetic elements induced by antibiotics. Moreover, the antibiotics even enhanced the dissemination potential of the bacteria carrying ARGs from the algal phycosphere to broader environmental niches. Overall, this study provides an in-depth understanding into the potential functional significance of antibiotic-mediated recruitment of specific algae-associated bacteria for algae adaptability and ARG proliferation in antibiotic-polluted waters.
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