| Title |
Yeast communities associated with artisanal mezcal fermentations from Agave salmiana
|
|---|---|
| Published in |
Antonie van Leeuwenhoek, June 2011
|
| DOI | 10.1007/s10482-011-9605-y |
| Pubmed ID | |
| Authors |
A. Verdugo Valdez, L. Segura Garcia, M. Kirchmayr, P. Ramírez Rodríguez, A. González Esquinca, R. Coria, A. Gschaedler Mathis |
| Abstract |
The aims of this work were to characterize the fermentation process of mezcal from San Luis Potosi, México and identify the yeasts present in the fermentation using molecular culture-dependent methods (RFLP of the 5.8S-ITS and sequencing of the D1/D2 domain) and also by using a culture-independent method (DGGE). The alcoholic fermentations of two separate musts obtained from Agave salmiana were analyzed. Sugar, ethanol and major volatile compounds concentrations were higher in the first fermentation, which shows the importance of having a quality standard for raw materials, particularly in the concentration of fructans, in order to produce fermented Agave salmiana must with similar characteristics. One hundred ninety-two (192) different yeast colonies were identified, from those present on WL agar plates, by RFLP analysis of the ITS1-5.8S- ITS2 from the rRNA gene, with restriction endonucleases, HhaI, HaeIII and HinfI. The identified yeasts were: Saccharomyces cerevisiae, Kluyveromyces marxianus, Pichia kluyveri, Zygosaccharomyces bailii, Clavispora lusitaniae, Torulaspora delbrueckii, Candida ethanolica and Saccharomyces exiguus. These identifications were confirmed by sequencing the D1-D2 region of the 26S rRNA gene. With the PCR-DGGE method, bands corresponding to S. cerevisiae, K. marxianus and T. delbrueckii were clearly detected, confirming the results obtained with classic techniques. |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 2% |
| Unknown | 131 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 20% |
| Student > Bachelor | 18 | 14% |
| Student > Ph. D. Student | 15 | 11% |
| Researcher | 14 | 11% |
| Student > Doctoral Student | 13 | 10% |
| Other | 29 | 22% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 44% |
| Biochemistry, Genetics and Molecular Biology | 28 | 21% |
| Engineering | 10 | 8% |
| Chemistry | 5 | 4% |
| Environmental Science | 3 | 2% |
| Other | 10 | 8% |
| Unknown | 19 | 14% |
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 16 November 2017.
All research outputs
#4,696,096
of 22,786,087 outputs
Outputs from Antonie van Leeuwenhoek
#230
of 2,023 outputs
Outputs of similar age
#24,664
of 114,136 outputs
Outputs of similar age from Antonie van Leeuwenhoek
#3
of 15 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,023 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 84% of its peers.
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We're also able to compare this research output to 15 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 60% of its contemporaries.