Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2010 Nov 23:10:298.
doi: 10.1186/1471-2180-10-298.

Diversity of lactic acid bacteria of the bioethanol process

Brigida T L Lucena  1 , Billy M dos Santos, João Ls Moreira, Ana Paula B Moreira, Alvaro C Nunes, Vasco Azevedo, Anderson Miyoshi, Fabiano L Thompson, Marcos Antonio de Morais Jr
Affiliations

Diversity of lactic acid bacteria of the bioethanol process

Brigida T L Lucena et al. BMC Microbiol. .

Abstract

Background: Bacteria may compete with yeast for nutrients during bioethanol production process, potentially causing economic losses. This is the first study aiming at the quantification and identification of Lactic Acid Bacteria (LAB) present in the bioethanol industrial processes in different distilleries of Brazil.

Results: A total of 489 LAB isolates were obtained from four distilleries in 2007 and 2008. The abundance of LAB in the fermentation tanks varied between 6.0 × 105 and 8.9 × 108 CFUs/mL. Crude sugar cane juice contained 7.4 × 107 to 6.0 × 108 LAB CFUs. Most of the LAB isolates belonged to the genus Lactobacillus according to rRNA operon enzyme restriction profiles. A variety of Lactobacillus species occurred throughout the bioethanol process, but the most frequently found species towards the end of the harvest season were L. fermentum and L. vini. The different rep-PCR patterns indicate the co-occurrence of distinct populations of the species L. fermentum and L. vini, suggesting a great intraspecific diversity. Representative isolates of both species had the ability to grow in medium containing up to 10% ethanol, suggesting selection of ethanol tolerant bacteria throughout the process.

Conclusions: This study served as a first survey of the LAB diversity in the bioethanol process in Brazil. The abundance and diversity of LAB suggest that they have a significant impact in the bioethanol process.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Mean abundance of LAB CFUs in the four refineries during the bioethanol process each 30 days. Log10 CFU counts.
Figure 2
Figure 2
Restriction profile of the intergenic 16S-23S region of the Lactobacillus vini (A) and Lactobacillus fermentum (B) with the enzymes SphI (lane 1), NcoI (lane 2), NheI (lane 3), SspI (lane 4), SfuI (lane 5), EcoRV (lane 6), DraI (lane 7), VspI (lane 8), HincII (lane 9), EcoRI (lane 10), HindIII (lane 11) and AvrII (lane 12). M, 1 Kb molecular marker.
Figure 3
Figure 3
Percentage of isolates of each LAB species found in the beginning (A) and towards the end of the process (B). Panel A was based on the samples of days 1 and 30 of the process. Panel B was based on all remainder samples (at 60, 90, 120, 150 and 180 days of process). The graphs show the percentage of species in Trapiche (N = 100), Miriri (N = 111), Japungu (N = 180), and Giasa (N = 98).
Figure 4
Figure 4
Rep-PCR patterns of 35 Lactobacillus fermentum isolates obtained from Miriri (A) Japungu and Giasa (B). M7.3.9 (Lane A1), M7.3.10 (Lane A2), M7.3.11 (Lane A3), M7.3.14 (Lane A4), M7.3.15 (Lane A5), M7.3.16 (Lane A6), M7.3.7 (Lane A7), M7.3.8 (Lane A8), M7.4.6 (Lane A9), M7.4.8 (Lane A10), M7.3.17 (Lane A11), M7.3.19 (Lane A12), M7.3.20 (Lane A13), M7.4.1 (Lane A14), M7.4.3 (Lane A15), M7.3.12 (Lane A16), M7.4.9 (Lane A17), JP7.2.9 (Lane B1), JP7.5.1 (Lane B2), JP7.5.9 (Lane B3), JP7.6.7 (Lane B4), JP7.6.8 (Lane B5), JP7.6.9 (Lane B6), JP7.6.10 (Lane B7), JP7.6.11 (Lane B8), JP7.6. 12 (Lane B9), JP7.2.10 (Lane B10), JP7.2.11 (Lane B11), JP7.3.12 (Lane B12), JP7.3.20 (Lane B13), JP7.4.19 (Lane B14), G7.4.10 (Lane B15), G7.4.11 (Lane B16), G7.6.13 (Lane B17), G7.6.18 (Lane B18). M, 1 Kb molecular weight.
Figure 5
Figure 5
Rep-PCR patterns of 14 Lactobacillus vini obtained from Miriri, Trapiche, Japungu, and Giasa. JP7.3.2(Lane 1), JP7.4.3 (Lane 2), JP7.3.7* (Lane 3), JP7.5.18 (Lane 4), M7.3.2 (Lane 5), M.7.3.3 (Lane 6), M7.6.11(Lane 7), M7.7.5 (Lane 8), G.7.2.19 (Lane 9), G7.4.2 (Lane 10), G7.3.2 (Lane 11), TR7.5.7* (Lane 12), TR7.5.13* (Lane 13) and TR7.5.15* (Lane 14). M, 1 Kb molecular weight. *, isolates also identified by pheS sequences.
See this image and copyright information in PMC

References

    1. Amorim HV. Fermentação alcoólica. Ciência e Tecnologia. Fermentec. 2005. p. 448p.
    1. Basílio ACM, Araújo PRL, Morais JOF, Silva Filho EA, Morais MA Jr, Simões DA. Detection and identification of wild yeast contaminants of the industrial fuel ethanol fermentation process. Curr Microbiol. 2008;56:322–326. doi: 10.1007/s00284-007-9085-5. - DOI - PubMed
    1. Basso LC, Amorim HV, de Oliveira AJ, Lopes ML. Yeast selection for fuel ethanol production in Brazil. FEMS Yeast Res. 2008;8:1155–1163. doi: 10.1111/j.1567-1364.2008.00428.x. - DOI - PubMed
    1. Silva-Filho EA, Santos SKB, Resende AM, Morais JOF, Morais MA Jr, Simões DA. Yeast population dynamics of industrial fuel-ethanol fermentation process assessed by PCR-fingerprinting. Antonie Van Leeuwenhoek. 2005;88:13–23. - PubMed
    1. Silva-Filho EA, Melo HF, Antunes DF, Santos SKB, Resende AM, Simões DA, Morais MA Jr. Isolation by genetic and physiological characteristics of a fuel-ethanol fermentative Saccharomyces cerevisiae strain with potential for genetic manipulation. J Ind Microbiol Biotechnol. 2005;32:481–486. doi: 10.1007/s10295-005-0027-6. - DOI - PubMed

Publication types

Associated data

LinkOut - more resources