↓ Skip to main content

Eukaryotic molecular diversity at different steps of the wastewater treatment plant process reveals more phylogenetic novel lineages

Overview of attention for article published in World Journal of Microbiology and Biotechnology, February 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Eukaryotic molecular diversity at different steps of the wastewater treatment plant process reveals more phylogenetic novel lineages
Published in
World Journal of Microbiology and Biotechnology, February 2017
DOI 10.1007/s11274-017-2217-6
Pubmed ID
Authors

Rakia Chouari, Marie Leonard, Moez Bouali, Sonda Guermazi, Naima Rahli, Ines Zrafi, Loïc Morin, Abdelghani Sghir

Abstract

Wastewater microbiota represents important actors of organic depollution. Nowadays, some species used as bioindicators of the effluent quality are still identified by microscopy. In the present study, we investigated eukaryotic diversity at the different steps of the treatment process of a wastewater treatment plant (aerobic, anaerobic, clarifier basins and anaerobic digester) using the 18S rRNA gene sequencing approach. Of the 1519 analysed sequences, we identified 160 operational taxonomic units. Interestingly, 56.9% of the phylotypes were assigned to novel phylogenetic molecular species since they show <97% sequence identity with their nearest affiliated representative within public databases. Peritrichia ciliates were the most predominant group, with Epistylis as the most common genus. Although anaerobic, the digester appears to harbor many unclassified phylotypes of protozoa species. Novel lineages such as LKM11 and LKM118 were widely represented in the digester. Diversity values given by Shannon indexes show that the clarifier is the most diversified. This work will help designing molecular tools that are fast, reliable, and reproducible for monitoring wastewater depollution and studying phylogenetic relationships among the wonderful world of protists within this anthropogenic ecosystem.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Researcher 8 26%
Student > Master 3 10%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Environmental Science 13 42%
Agricultural and Biological Sciences 7 23%
Biochemistry, Genetics and Molecular Biology 3 10%
Chemical Engineering 1 3%
Immunology and Microbiology 1 3%
Other 3 10%
Unknown 3 10%
Attention Score in Context

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 07 February 2017.
All research outputs
#15,687,152
of 23,911,072 outputs
Outputs from World Journal of Microbiology and Biotechnology
#928
of 1,757 outputs
Outputs of similar age
#249,960
of 426,368 outputs
Outputs of similar age from World Journal of Microbiology and Biotechnology
#8
of 24 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,757 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 426,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.