| Title |
High-throughput sequencing of amplicons for monitoring yeast biodiversity in must and during alcoholic fermentation
|
|---|---|
| Published in |
Journal of Industrial Microbiology & Biotechnology, May 2014
|
| DOI | 10.1007/s10295-014-1427-2 |
| Pubmed ID | |
| Authors |
Vanessa David, Sébastien Terrat, Khaled Herzine, Olivier Claisse, Sandrine Rousseaux, Raphaëlle Tourdot-Maréchal, Isabelle Masneuf-Pomarede, Lionel Ranjard, Hervé Alexandre |
| Abstract |
We compared pyrosequencing technology with the PCR-ITS-RFLP analysis of yeast isolates and denaturing gradient gel electrophoresis (DGGE). These methods gave divergent findings for the yeast population. DGGE was unsuitable for the quantification of biodiversity and its use for species detection was limited by the initial abundance of each species. The isolates identified by PCR-ITSRFLP were not fully representative of the true population. For population dynamics, high-throughput sequencing technology yielded results differing in some respects from those obtained with other approaches. This study demonstrates that 454 pyrosequencing of amplicons is more relevant than other methods for studying the yeast community on grapes and during alcoholic fermentation. Indeed, this high-throughput sequencing method detected larger numbers of species on grapes and identified species present during alcoholic fermentation that were undetectable with the other techniques. |
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 % |
|---|---|---|
| India | 2 | 67% |
| Unknown | 1 | 33% |
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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Canada | 1 | <1% |
| Unknown | 112 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 23% |
| Student > Ph. D. Student | 17 | 15% |
| Student > Master | 16 | 14% |
| Student > Bachelor | 10 | 9% |
| Student > Postgraduate | 7 | 6% |
| Other | 16 | 14% |
| Unknown | 23 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 42% |
| Biochemistry, Genetics and Molecular Biology | 24 | 21% |
| Environmental Science | 3 | 3% |
| Immunology and Microbiology | 3 | 3% |
| Engineering | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 30 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 24 September 2014.
All research outputs
#4,513,532
of 25,394,764 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#220
of 1,614 outputs
Outputs of similar age
#40,983
of 242,247 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#3
of 16 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,614 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 86% of its peers.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.