| Title |
A qPCR method to quantify bioavailable phosphorus using indigenous aquatic species
|
|---|---|
| Published in |
Environmental Sciences Europe, September 2018
|
| DOI | 10.1186/s12302-018-0163-z |
| Pubmed ID | |
| Authors |
Yanan Yang, Jianghua Yang, Xiaowei Zhang |
| Abstract |
Bioavailable phosphorus (BAP) represents the sum of phosphorus that is readily available for algae growth and is useful to indicate the severity of eutrophication in aquatic environments. Here, a quantitative real-time PCR (qPCR)-based bioassay was developed to quantify BAP using the indigenous cyanobacterium species Anabaena sp. of Lake Tai, a large and shallow eutrophic lake in the Yangtze Valley, China. Primers were designed to quantify the gene expression of alkaline phosphatase (phoA/phoA-like) and phosphate transporter (pst1) genes of Anabaena. The specificity and efficiency of the primer sets were evaluated by gel electrophoresis and real-time PCR. The results showed that the primers developed here could successfully be used to measure BAP in the water. The linear range of BAP measurements by the pst1 gene after 2 h incubation was 0.125-2.00 mg/L. Then, the qPCR-based bioassay was applied to analyze water samples from Tai Lake, which had BAP levels in the range of 0.239-0.459 mg/L. The qPCR-based bioassay represents a promising biomonitoring tool that can quantify phosphorus bioavailability in aquatic environments. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Student > Master | 3 | 19% |
| Student > Doctoral Student | 2 | 13% |
| Professor > Associate Professor | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 6 | 38% |
| Engineering | 1 | 6% |
| Unknown | 9 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 September 2018.
All research outputs
#15,545,785
of 23,103,903 outputs
Outputs from Environmental Sciences Europe
#327
of 586 outputs
Outputs of similar age
#212,131
of 335,391 outputs
Outputs of similar age from Environmental Sciences Europe
#6
of 9 outputs
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