| Title |
The gut eukaryotic microbiota influences the growth performance among cohabitating shrimp
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, July 2017
|
| DOI | 10.1007/s00253-017-8388-0 |
| Pubmed ID | |
| Authors |
Wenfang Dai, Weina Yu, Jinjie Zhang, Jinyong Zhu, Zhen Tao, Jinbo Xiong |
| Abstract |
Increasing evidence has revealed a close interplay between the gut bacterial communities and host growth performance. However, until recently, studies generally ignored the contribution of eukaryotes, endobiotic organisms. To fill this gap, we used Illumina sequencing technology on eukaryotic 18S rRNA gene to compare the structures of gut eukaryotic communities among cohabitating retarded, overgrown, and normal shrimp obtained from identically managed ponds. Results showed that a significant difference between gut eukaryotic communities differed significantly between water and intestine and among three shrimp categories. Structural equation modeling revealed that changes in the gut eukaryotic community were positively related to digestive enzyme activities, which in turn influenced shrimp growth performance (λ = 0.97, P < 0.001). Overgrown shrimp exhibited a more complex and cooperative gut eukaryotic interspecies interaction than retarded and normal shrimp, which may facilitate their nutrient acquisition efficiency. Notably, the distribution of dominant eukaryotic genera and shifts in keystone species were closely concordant with shrimp growth performance. In summary, this study provides an integrated overview on direct roles of gut eukaryotic communities in shrimp growth performance instead of well-studied bacterial assembly. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 17% |
| Student > Master | 7 | 12% |
| Student > Ph. D. Student | 7 | 12% |
| Professor > Associate Professor | 3 | 5% |
| Student > Bachelor | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 25 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 19% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Immunology and Microbiology | 3 | 5% |
| Veterinary Science and Veterinary Medicine | 3 | 5% |
| Environmental Science | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 30 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 March 2018.
All research outputs
#14,893,418
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,398
of 8,034 outputs
Outputs of similar age
#172,133
of 315,998 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#37
of 82 outputs
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