Molecular identification of bacteria on grapes and in must from Small Carpathian wine-producing region (Slovakia)

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Molecular identification of bacteria on grapes and in must from Small Carpathian wine-producing region (Slovakia) T. Kuchta1, D. Pangallo2, Z. Godálová1, A. Puškárová2, M. Bučková2, K. Ženišová1, L. Kraková2 1Food Research Institute, National Agricultural and Food Centre, Bratislava, Slovakia 2Institute of Molecular Biology, Slovak Academy of Sciences, Bratislava, Slovakia

Slovakia

Small Carpathian Wine-producing region

Small Carpathian Wine-producing region

Small Carpathians

Two typical grape varieties: - Blaufränkisch - Grüner Veltliner Modra, vintage 2013 Samples: - grapes, wash (G) - initial phase must (M1) - middle fermenting must, 7-10 days (M2) - must at the end of fermentation, almost wine (M3)

Besides the quality of grapes, microflora determines the quality of wine: * yeasts are responsible for primary fermentation ** bacteria influence the quality of wine - in a positive way (malolactic fermentation, formation/transformation of volatile aroma-active compounds) - or in a negative way (formation of acetic acid, biogenic amines)

Culture-based approach for bacteria: Decimal dilutions cultured on elective media (supplemented with cycloheximide): - R2A - GYC (for cultivation of acetic acid bacteria) - MRS (for cultivation of lactic acid bacteria) - MRS-T (suppl. with tomato juice, cysteine and malic acid; for Oenococcus spp.) Colonies DNA f-its PCR capillary electrophoresis Selected colonies 16S rdna sequences BLAST

Culture-independent approach for bacteria: - DNA extraction (DNeasy, Qiagen) - semi-nested PCR for 16S rdna amplification - cloning in pgem-t Easy vector (Promega) - DGGE - clones with different DGGE characteristics sequenced and identified by BLAST in GenBank

Culture-based quantitative data on bacteria isolated on different agar media during the production of wine - decrease in bacterial isolates in M3

Culture-based identification of bacteria in wine large diversity (16 genera) detected on R2A medium (dominant: Bacillus and Gluconobacter) Leuconostoc, Gluconobacter and Acetobacter preferentially isolated on GYC medium Lactobacillus, Leuconostoc and Gluconobacter isolated on MRS and MRS-T larger diversity recovered on MRS than on MRS-T

Clustering of isolates by f-its Each f-its profile contained 1 5 peaks 488 isolates were grouped into 45 clusters Bacillus was heterogenous 36 isolates in 7 clusters Gluconobacter 75 isolates in 4 clusters Lactobacillus 161 in 5 clusters

Comparison of the bacterial diversity on different cultivation media

Bacterial species isolated on different media in various wine production stages of Blaufränkisch

Bacterial species isolated on different media in various wine production stages of Grüner Veltliner

Identification of bacterial isolates

Identification of bacterial isolates (continued)

Identification of bacterial isolates (continued) Members of the same genus continuously identified in different vinification stages are described within grey squares.

Culture-independent analysis Blaufränkisch 27 bacterial genera and 1 cyanobacterial Grüner Veltliner 17 bacterial genera Bacterial classes:

Culture-independent analysis Blaufränkisch 27 bacterial genera and 1 cyanobacterial Grüner Veltliner 17 bacterial genera The 16S rrna sequences of bacterial clones were deposited in the GenBank database under the accession numbers KR704489 - KR704568. From different wine production steps, chloroplast 16S rdna and mitochondrial 18S rdna of Vitis vinifera were detected

Culture-independent identification of bacteria

Culture-independent identification of bacteria (cont.)

Culture-independent identification of bacteria (cont.) Members of the same genus continuously identified in different vinification stages are described within grey squares.

- Detailed data on bacterial microflora of two typical wines of the Small Carpathian wine-producing regions were obtained - Data and isolates provide the basis for improvement of the quality of regional wines - The two scientific approaches produced complementary information on bacterial diversity