| Title |
Co-occurrence Networks Among Bacteria and Microbial Eukaryotes of Lake Baikal During a Spring Phytoplankton Bloom
|
|---|---|
| Published in |
Microbial Ecology, June 2018
|
| DOI | 10.1007/s00248-018-1212-2 |
| Pubmed ID | |
| Authors |
Ivan S. Mikhailov, Yulia R. Zakharova, Yuri S. Bukin, Yuri P. Galachyants, Darya P. Petrova, Maria V. Sakirko, Yelena V. Likhoshway |
| Abstract |
The pelagic zone of Lake Baikal is an ecological niche where phytoplankton bloom causes increasing microbial abundance in spring which plays a key role in carbon turnover in the freshwater lake. Co-occurrence patterns revealed among different microbes can be applied to predict interactions between the microbes and environmental conditions in the ecosystem. We used 454 pyrosequencing of 16S rRNA and 18S rRNA genes to study bacterial and microbial eukaryotic communities and their co-occurrence patterns at the pelagic zone of Lake Baikal during a spring phytoplankton bloom. We found that microbes within one domain mostly correlated positively with each other and are highly interconnected. The highly connected taxa in co-occurrence networks were operational taxonomic units (OTUs) of Actinobacteria, Bacteroidetes, Alphaproteobacteria, and autotrophic and unclassified Eukaryota which might be analogous to microbial keystone taxa. Constrained correspondence analysis revealed the relationships of bacterial and microbial eukaryotic communities with geographical location. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United States | 1 | 25% |
| Japan | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 22% |
| Researcher | 14 | 19% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 16 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 30% |
| Environmental Science | 11 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Earth and Planetary Sciences | 4 | 5% |
| Immunology and Microbiology | 4 | 5% |
| Other | 6 | 8% |
| Unknown | 21 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2019.
All research outputs
#3,660,666
of 23,088,369 outputs
Outputs from Microbial Ecology
#340
of 2,074 outputs
Outputs of similar age
#71,856
of 329,367 outputs
Outputs of similar age from Microbial Ecology
#8
of 36 outputs
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So far Altmetric has tracked 2,074 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 83% of its peers.
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We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.