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Mendeley readers
Attention Score in Context
| Title |
Assessing Fungal Population in Soil Planted with Cry1Ac and CPTI Transgenic Cotton and Its Conventional Parental Line Using 18S and ITS rDNA Sequences over Four Seasons
|
|---|---|
| Published in |
Frontiers in Plant Science, July 2016
|
| DOI | 10.3389/fpls.2016.01023 |
| Pubmed ID | |
| Authors |
Xiemin Qi, Biao Liu, Qinxin Song, Bingjie Zou, Ying Bu, Haiping Wu, Li Ding, Guohua Zhou |
| Abstract |
Long-term growth of genetically modified plants (GMPs) has raised concerns regarding their ecological effects. Here, FLX-pyrosequencing of region I (18S) and region II (ITS1, 5.8S, and ITS2) rDNA was used to characterize fungal communities in soil samples after 10-year monoculture of one representative transgenic cotton line (TC-10) and 15-year plantation of various transgenic cotton cultivars (TC-15mix) over four seasons. Soil fungal communities in the rhizosphere of non-transgenic control (CC) were also compared. No notable differences were observed in soil fertility variables among CC, TC-10, and TC-15mix. Within seasons, the different estimations were statistically indistinguishable. There were 411 and 2 067 fungal operational taxonomic units in the two regions, respectively. More than 75% of fungal taxa were stable in both CC and TC except for individual taxa with significantly different abundance between TC and CC. Statistical analysis revealed no significant differences between CC and TC-10, while discrimination of separating TC-15mix from CC and TC-10 with 37.86% explained variance in PCoA and a significant difference of Shannon indexes between TC-10 and TC-15mix were observed in region II. As TC-15mix planted with a mixture of transgenic cottons (Zhongmian-29, 30, and 33B) for over 5 years, different genetic modifications may introduce variations in fungal diversity. Further clarification is necessary by detecting the fungal dynamic changes in sites planted in monoculture of various transgenic cottons. Overall, we conclude that monoculture of one representative transgenic cotton cultivar may have no effect on fungal diversity compared with conventional cotton. Furthermore, the choice of amplified region and methodology has potential to affect the outcome of the comparison between GM-crop and its parental line. |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 20% |
| Researcher | 3 | 20% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 53% |
| Environmental Science | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Economics, Econometrics and Finance | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 28 July 2016.
All research outputs
#5,762,828
of 22,881,964 outputs
Outputs from Frontiers in Plant Science
#3,034
of 20,270 outputs
Outputs of similar age
#95,685
of 354,423 outputs
Outputs of similar age from Frontiers in Plant Science
#58
of 517 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 20,270 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 84% of its peers.
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 354,423 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.