Literature DB >> 30679519

Tap water is one of the drivers that establish and assembly the lactic acid bacterium biota during sourdough preparation.

Fabio Minervini1, Francesca Rita Dinardo1, Maria De Angelis1, Marco Gobbetti2.   

Abstract

This study aimed at assessing the effect of tap water on the: (i) lactic acid bacteria (LAB) population of a traditional and mature sourdough; and (ii) establishment of LAB community during sourdough preparation. Ten tap water, collected from Italian regions characterized by cultural heritage in leavened baked goods, were used as ingredient for propagating or preparing firm (type I) sourdoughs. The same type and batch of flour, recipe, fermentation temperature and time were used for propagation/preparation, being water the only variable parameter. During nine days of propagation of a traditional and mature Apulian sourdough, LAB cell density did not differ, and the LAB species/strain composition hardly changed, regardless of the water. When the different tap water were used for preparing the corresponding sourdoughs, the values of pH became lower than 4.5 after two to four fermentations. The type of water affected the assembly of the LAB biome. As shown by Principal Components Analysis, LAB population in the sourdoughs and chemical and microbiological features of water used for their preparation partly overlapped. Several correlations were found between sourdough microbiota and water features. These data open the way to future researches about the use of various types of water in bakery industry.

Entities:  

Year:  2019        PMID: 30679519      PMCID: PMC6345887          DOI: 10.1038/s41598-018-36786-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

An increasing number of artisan and industrial bakeries make use of sourdough as biological leavening agent and/or baking improver[1]. Sourdough, mainly based on wheat or rye flour and water, is a relatively complex microbial ecosystem densely inhabited by yeasts and lactic acid bacteria (LAB), which are mainly responsible for dough leavening and acidification[2-4]. Despite the simplicity of the operations, the management of the sourdough requires skills, and control during either its preparation or its propagation and use[1]. In particular, the studies of the latter two decades allowed catching the crucial phases that drive the establishment and assembly of sourdough microbial community during both preparation and further propagation and use. Within this community, LAB have received much more attention than yeasts, because of their higher diversity[5] and greater influence on odor, aroma, shelf-life and nutritional aspects of sourdough baked goods[6]. Sourdough LAB may originate from flour, additional ingredients and bakery environment. Flour is contaminated by LAB because these bacteria populate the external and internal layers of kernels[5]. Air, insects, operators and milling facilities transfer LAB on the external layers of kernels[7]. LAB populating the internal layers of kernels are thought to be part of cereal endophytic microbiota[8] and may become dominant in the sourdough ecosystem[9]. House microbiota, i.e. microorganisms contaminating bakery environment, may play the role of additional inoculum for sourdoughs that are daily propagated through back-slopping[6]. In some cases, ingredients of vegetable origin are added in early fermentation steps. The serial fermentations, repeated for 7–15 days, lead to mature sourdough, characterized by stable numbers of LAB and yeasts, and constant acidification and leavening performances[10]. Once mature sourdough has been produced, the stability of its microbial community is debated. Some researchers reported about very stable sourdoughs, at microbial species[11-13] and even strain level[14,15]. Others observed that bacterial species and strains fluctuate within different time in the same sourdough[16-18]. So far, no study has been carried out on the eventual effect of water on the establishment and assembly of sourdough microbiota and quality of sourdough bread. Yet, water is the second main ingredient of sourdough and it could be hypothesized that it may somehow affect microbial dynamics[6]. Water allows obtaining the desired viscoelastic properties of gluten and is involved in all the reactions occurring in kneading, fermentation and baking[19]. Hardness (mg of CaCO3 in one liter) and pH of water have been regarded as affecting quality of leavened baked goods. Minerals contained in medium hard (100–200 mg/L) water optimally interact with gluten. Overall, they are nutrients required by pro-technological microorganisms[20]. Direct relationships were found between water hardness and (i) bread dough stability time[21], (ii) specific volume and (iii) softness of steamed bread[22], whereas inverse correlation was found between water hardness and bread dough degree of softening[21]. Use of water with too high pH (e.g., 8.0) may drive pH of dough far from the optimal values (5.0–6.0) for enzymatic (e.g., amylases) and microbial activities[20]. On the contrary, use of slightly acid water (pH = 5.0–6.0) favors yeast growth and, consequently, causes increased volume of steamed bread[22]. Only anecdotal information, referred by a few artisan bakers, is available about the importance of water on sourdough bread, although some procedural guidelines of typical and/or traditional breads (e.g., Pane di Altamura PDO)[23] indicate some features of the water to be used in bread-making. Metal ions and trace elements in tap water, mainly originating from “hard water” used in the manufacturing process[24], could affect the assembly and stability of the sourdough microbiota. This study aimed to clarify whether tap water affects: (i) LAB population of a traditional and mature sourdough during use; and (ii) establishment of bacterial community during sourdough preparation. For this purpose, ten tap water were used for (i) propagating the same traditional and mature sourdough, and (ii) starting ten new sourdoughs, under the same process parameters (flour, dough yield, percentage of inoculum, time and temperature of fermentation). LAB inhabiting the sourdough were described by culture-dependent and –independent approaches.

Results

The chemical and microbiological characteristics markedly differed among tap water from various Italian regions

Tap water were collected (May–June 2017) from the following 10 Italian regions characterized by cultural heritage in leavened baked goods: Abruzzo (coded as A) (e.g., Pane di Cappelli, Pizza di Pasqua), Basilicata (B) (Pane di Matera PGI), Campania (C) (Pane di Montecalvo Irpino, Pane Saragolla), Lazio (LA) (Pane casereccio di Genzano PGI), Lombardia (LO) (Panettone), Puglia (P) (Pane di Altamura PDO, Pane di Laterza), Toscana (T) (Bozza Pratese, Buccellato di Lucca, Pane di Altopascio Tradizionale, Pane Toscano PDO), Trentino-Alto Adige (TA) (Pane di segale), Umbria (U) (Pane di Terni, Torcolo di San Costanzo), and Veneto (V) (Bastone di Padova, Nadalin, Pandoro, Veneziana). Water was collected at public fountains, stored inside clean glass bottles and kept at 4 °C until analyses and use as ingredient for propagating/preparing sourdough. Fixed residue and electrical conductivity, both directly related with concentration of ions, ranged from ca. 186 (tap water B) to 441 (T) mg/L, and from ca. 291 (B) to 606 (U) μS/cm, respectively (Table 1). Hardness varied from ca. 162 (B) to 343 (LA) mg of CaCO3/L. Tap water B and TA were characterized by the lowest (P < 0.05) values of electrical conductivity and hardness. Bicarbonate, the most abundant ion in tap water, ranged from 165 (tap water TA) to 400 (LA) mg/L. Calcium was found at the highest (P < 0.05) levels in tap water C, T, U and, especially LA. Samples also differed (P < 0.05) for the levels of nitrate, chloride, sulphate, sodium, potassium and magnesium. Other ions (bromide, nitrite, phosphate, lithium, sulphites and ammonia) were not detectable. Sodium adsorption ratio (SAR), indicating the sodium content referred to calcium and magnesium, was ever lower than 1, except for tap water A and P. Samples T and U showed the lowest (P < 0.05) values of pH (7.3–7.5). On the contrary, tap water A was the most alkaline (pH 8.1). Heterotrophic psychrophilic microorganisms ranged from 1.0 (tap water LO) to 4.2 (tap water B) log CFU/mL, but were not detected in tap water LA, T and V. Heterotrophic mesophilic microorganisms were found at cell density varying from 0.8 (C) to 3.4 (B) log CFU/mL, but were absent in tap water LA, LO and T.
Table 1

Chemical and microbiological characteristics of the tap water collected in ten Italian regions§.

ABCLALOPTTAUV
Fixed residue at 180 °C (mg/L)292.0 ± 8.1e186.4 ± 1.5 h208.8 ± 0.9 g361.2 ± 9.9bc380 ± 9.6b324.0 ± 5.0d441.2 ± 3.7a245.2 ± 1.2 f348.8 ± 9.8c285.2 ± 7.7e
Electrical conductivity (µS/cm)453 ± 4.5 g291 ± 1.0i545 ± 1.8d565 ± 5.4c571 ± 9.9bc470 ± 5.3 f585 ± 9.7b315 ± 2.1 h606 ± 9.0a491 ± 8.6e
Bicarbonate (mg/L)210 ± 9.7gh195 ± 9.5 h335 ± 2.7c400 ± 3.9a285 ± 9.0e220 ± 9.6fg230 ± 9.4 f165 ± 1.0i350 ± 8.5b300 ± 7.1d
Ca2+ (mg/L)56.9 ± 4.0de53.6 ± 3.8ef99.8 ± 7.0ab105.7 ± 7.4a96 ± 6.7b62.1 ± 4.3d101.8 ± 7.1ab48.3 ± 3.4 f102.1 ± 7.1ab70.5 ± 4.9c
NO42− (mg/L)2.6 ± 0.7c2 ± 0.5c1.4 ± 0.4c2.8 ± 0.7c34.8 ± 8.7a3.1 ± 0.8c2.7 ± 0.7c5.6 ± 1.4c30.8 ± 7.7a18.9 ± 4.7b
Fl (mg/L)0.4 ± 0.1a<0.1c<0.1c<0.1c<0.1c0.4 ± 0.1a0.2 ± 0.0a<0.1c0.2 ± 0.0a<0.1c
Cl (mg/L)36.3 ± 3.3a7.6 ± 0.7c5.8 ± 0.5c5.7 ± 0.5c32 ± 2.9a33.3 ± 3.0a33.8 ± 3.0a13.3 ± 1.2c22.2 ± 2.0b12 ± 1.1c
SO42− (mg/L)58.4 ± 7.6b8.4 ± 1.1 f3.2 ± 0.4 f16.5 ± 2.1e46 ± 6.0c59.8 ± 7.8b120 ± 15.6a35.7 ± 4.6d34.8 ± 4.5d25.7 ± 3.3de
Na+ (mg/L)34.3 ± 3.4a8.3 ± 0.8e19.1 ± 1.9 cd4 ± 0.4e13.6 ± 1.4de33.7 ± 3.4a23 ± 2.3bc10.8 ± 1.1e30.2 ± 3.0ab5.9 ± 0.6e
K+ (mg/L)6.7 ± 0.7b1.7 ± 0.2b23.8 ± 2.4a0.9 ± 0.1b1.6 ± 0.2b6.7 ± 0.7b1.7 ± 0.2b2.8 ± 0.3b2.5 ± 0.3b1 ± 0.1b
Mg2+ (mg/L)14.1 ± 1.1bc6.8 ± 0.5c4.9 ± 0.4c19.4 ± 1.6b20.8 ± 1.7ab13.9 ± 1.1bc14.4 ± 1.2bc11.9 ± 1.0bc13.4 ± 1.1bc28.4 ± 2.3a
pH8.1 ± 0.2a7.9 ± 0.2b7.8 ± 0.2bc7.9 ± 0.2b7.8 ± 0.2bc7.7 ± 0.2c7.5 ± 0.2d7.8 ± 0.2bc7.3 ± 0.2e7.9 ± 0.2b
Hardness (mg of CaCO3/L)200 ± 9.9e162 ± 8.8 f269 ± 6.8d343 ± 6.3a325 ± 9.0ab212 ± 9.5e313 ± 9.7b169 ± 8.6 f310 ± 6.7b293 ± 7.4c
SAR*1.06 ± 0.06a0.28 ± 0.04e0.51 ± 0.08c0.09 ± 0.05 f0.33 ± 0.06de1.01 ± 0.05a0.57 ± 0.09c0.36 ± 0.05d0.75 ± 0.0b0.15 ± 0.07 f
HPC¥ at 22 °C3.3 ± 0.1b4.2 ± 0.3a1.6 ± 0.1dn.d.1.0 ± 0.2d2.9 ± 0.2bcn.d.3.3 ± 0.3b2.6 ± 0.3cn.d.
HPC at 37 °C2.1 ± 0.2b3.4 ± 0.2a0.8cn.d.n.d.2.3 ± 0.3bn.d.1.0 ± 0.2c2.6 ± 0.1b0.9 ± 0.2c

§Each region is coded according to the Results section, first paragraph.

*SAR, Sodium adsorption ratio, calculated as the ratio between sodium concentration (expressed in milliequivalent/L) and the square root of half the sum of magnesium and calcium concentrations (expressed in milliequivalent/L).

¥HPC, heterotrophic plate count determined at 22 °C (aerobic psychrophilic microorganisms) and 37 °C (aerobic mesophilic microorganisms).

†n.d., not detected.

Mean values (±S.D.) in the same row with a common letter were not significantly different at a P value of 0.05.

Chemical and microbiological characteristics of the tap water collected in ten Italian regions§. §Each region is coded according to the Results section, first paragraph. *SAR, Sodium adsorption ratio, calculated as the ratio between sodium concentration (expressed in milliequivalent/L) and the square root of half the sum of magnesium and calcium concentrations (expressed in milliequivalent/L). ¥HPC, heterotrophic plate count determined at 22 °C (aerobic psychrophilic microorganisms) and 37 °C (aerobic mesophilic microorganisms). †n.d., not detected. Mean values (±S.D.) in the same row with a common letter were not significantly different at a P value of 0.05. Principal Components Analysis (PCA) was carried out using chemical and microbiological characteristics of tap water as data entries. The two first principal components explained ca. 66% of the total variance (Fig. 1). PC1 mainly loaded water bicarbonate, hardness and heterotrophic microbes. PC2 mainly distributed samples according to sodium and sulphate levels. PCA grouped in the first quadrant tap water B, C and TA, being characterized by relatively low fixed residue. Tap water A and P, sharing the highest concentrations of fluoride, sodium and value of SAR, fell in the second quadrant. Tap water U and T were grouped in the third quadrant, because they showed the highest and lowest values of electrical conductivity and pH, respectively. The fourth quadrant grouped tap water LA, LO and V, being characterized by relatively high concentration of magnesium.
Figure 1

Score and loading plots obtained through Principal Components Analysis performed on the chemical and microbiological characteristics of the water collected in ten Italian regions. SAR, sodium adsorption ratio; psychro m.o., aerobic psychrophilic microorganisms; meso m.o. aerobic mesophilic microorganisms.

Score and loading plots obtained through Principal Components Analysis performed on the chemical and microbiological characteristics of the water collected in ten Italian regions. SAR, sodium adsorption ratio; psychro m.o., aerobic psychrophilic microorganisms; meso m.o. aerobic mesophilic microorganisms.

Tap water hardly affected the microbiological features during propagation of a traditional and mature Apulian sourdough

Before propagation, the pH value of the traditional and mature sourdough, produced by P water, was ca. 4.0. Cell density of presumptive LAB and yeasts were ca. 9.0 (both on modified de Man-Rogosa-Sharpe (mMRS) and Sour Dough Bacteria (SDB) agar media) and 7.0 log CFU/g, respectively. The sourdough showed a 400 ml volume increase in 6 h of fermentation (data not shown). It was propagated at laboratory for nine days under the same conditions but using different tap water collected from the other 9 Italian regions. In addition, a control sourdough (P sourdough) was propagated using the P water. After sourdough propagation, the values of pH ranged from 3.96 to 4.03, being not significantly different (P > 0.05) from the value before propagation. Similarly, no significant differences (P > 0.05) were detectable for the number of LAB, which varied from 8.9 to 9.2 CFU/g. In addition, the values of pH and LAB cell density were not significantly (P > 0.05) different among the ten propagated sourdoughs. The yeast cell density decreased (P < 0.05) by approximately one log cycle (5.8–6.2 log CFU/g) and, consequently, the leavening capacity decreased (P < 0.05) to 300 ml, regardless of the tap water used during sourdough propagation (data not shown). LAB were isolated from the sourdough before propagation and from the 10 sourdoughs after propagation. As shown by Randomly Amplified Polymorphic DNA (RAPD)-PCR analysis and identification of bacterial isolates, two strains of Lactobacillus sanfranciscensis and two strains of Lactobacillus plantarum dominated the traditional and mature sourdough before propagation (Supplementary Fig. S1a). Both species were detected in all the sourdoughs after propagation, regardless of the water used. In detail, at least three out of the four lactobacilli strains identified in the sourdough before propagation were also detectable in all the propagated sourdoughs. Besides these strains, the sourdoughs propagated with A or P water harbored another strain of L. plantarum (s3) and one strain (s1) of Pediococcus pentosaceus (Supplementary Fig. S1a,c). L. plantarum s3 was also found in the sourdoughs propagated with B (Supplementary Fig. S1b) or U water (Supplementary Fig. S1d). The sourdoughs propagated with C, LA (Supplementary Fig. S1b), TA and V (Supplementary Fig. S1d) water, besides harboring the same strains of L. plantarum and L. sanfranciscensis detected in the sourdough before propagation, contained P. pentosaceus s1.

Tap water affected hardness, gumminess and chewiness of breads made using a traditional and mature sourdough

After nine days of propagation with different water, each traditional and mature sourdough was used as starter (in combination with baker’s yeast) for bread-making. No significant (P > 0.05) differences were found among the breads for elasticity (89–100%), cohesiveness (0.29–0.38), specific volume (2.52–2.82 cm3/g) and percentage of gas cell area (black pixel area ranging from 54 to 57%) (Table 2). Hardness ranged from ca. 15.5 (bread started with traditional sourdough propagated with tap water P and LO) to 28 N (C), with significant (P < 0.05) differences among most of breads. The breads started with sourdough propagated using tap water C, LA and U showed higher (P < 0.05) gumminess (43.81 N on average) than the breads obtained with sourdough propagated using tap water LO and P (26.08 N on average). The same three breads were characterized by higher (P < 0.05) values of chewiness (average value: 40.33 N) than the breads started with traditional sourdough propagated using tap water A, LO, P and TA (27.39 N).
Table 2

Physical characteristics of breads made by traditional and mature sourdough propagated for nine days using tap water collected in ten Italian regions.

Sourdough breadaHardness (N)Elasticity (%)Gumminess (N)Chewiness (N)CohesivenessSpecific volume (cm3/g)Black pixel areab (%)
A19.06 ± 1.0de90 ± 10a32.85 ± 11.01ab29.71 ± 6.50bc0.34 ± 0.03a2.62 ± 0.33a57 ± 0.8a
B17.90 ± 0.8e94 ± 6a35.55 ± 10.05ab33.69 ± 9.87abc0.29 ± 0.05a2.82 ± 0.23a55 ± 1.1a
C28.46 ± 1.4a90 ± 10a43.86 ± 9.02a39.66 ± 8.77a0.31 ± 0.05a2.52 ± 0.18a54 ± 0.9a
LA25.30 ± 0.9b92 ± 8a46.27 ± 8.51a42.48 ± 8.90a0.37 ± 0.04a2.72 ± 0.16a54 ± 1.4a
LO16.26 ± 0.6 f100 ± 0a26.14 ± 9.44b26.09 ± 9.69bc0.32 ± 0.05a2.74 ± 0.23a56 ± 2.3a
P15.48 ± 0.7 f89 ± 8a26.03 ± 8.69b23.27 ± 8.50c0.34 ± 0.02a2.60 ± 0.25a56 ± 5.3a
T18.06 ± 0.5e96 ± 3a34.52 ± 10.22ab33.11 ± 10.03abc0.38 ± 0.04a2.63 ± 0.35a54 ± 1.4a
TA18.38 ± 0.6e91 ± 1a33.47 ± 9.56ab30.48 ± 9.45bc0.36 ± 0.02a2.73 ± 0.19a56 ± 2.6a
U23.78 ± 1.1c94 ± 5a41.30 ± 9.88a38.85 ± 8.66a0.35 ± 0.05a2.72 ± 0.18a55 ± 5.6a
V20.28 ± 0.8d94 ± 6a36.44 ± 9.75ab34.36 ± 8.98ab0.36 ± 0.04a2.74 ± 0.14a54 ± 1.8a

aThe name of each sourdough bread derived from the tap water used during the propagation of traditional sourdough.

bBlack pixel area was the percentage of the image area filled up with black pixel (gas cells).

Mean values (±S.D.) in the same column with a common letter were not significantly different at a P value of 0.05.

Physical characteristics of breads made by traditional and mature sourdough propagated for nine days using tap water collected in ten Italian regions. aThe name of each sourdough bread derived from the tap water used during the propagation of traditional sourdough. bBlack pixel area was the percentage of the image area filled up with black pixel (gas cells). Mean values (±S.D.) in the same column with a common letter were not significantly different at a P value of 0.05. Correlations between tap water characteristics and bread hardness, gumminess and chewiness were calculated. Positive (P < 0.05) correlations (r > 0.70) were found between concentration of bicarbonate in water and the above-mentioned bread textural features. Weaker correlations (r > 0.50) were found between calcium and bread hardness and chewiness, as well as between potassium in water and bread hardness. All the three textural features of bread were negatively correlated (r < −0.63) with chloride in water. In addition, a weaker (r = −0.52) negative correlation was found between sulphate and bread hardness.

Tap water affected the establishment and assembly of the LAB biome during sourdough preparation

During preparation of the 10 sourdoughs, the values of pH already significantly (P < 0.05) differed after the first 8 h of fermentation (Supplementary Fig. S2). Indeed, fermented doughs obtained using tap water T, TA and U showed the lowest values of pH (5.63–5.67), whereas those obtained using tap water A, LA, LO and P showed the highest values (5.92–5.94). The differences of pH among the fermented doughs diminished after the third fermentation (4.43–4.52), but the sourdoughs produced using water T and U were characterized by the lowest values. After the fourth fermentation, all the sourdoughs showed values of pH lower than 4.5. Afterwards, final pH continued to decrease slightly and then reached constant values after the sixth (sourdoughs produced using tap water A, B, C, P, T, U and V) and eighth (LA, LO and TA) fermentation. After the last fermentation, pH values of the sourdoughs ranged from 4.15 to 4.22. At the beginning of the first fermentation, presumptive LAB ranged from 2.4 to 2.6 (estimated on mMRS) log CFU/g and from 3.4 to 3.6 (estimated on SDB) log CFU/g, with no significant difference (P > 0.05) among the doughs (Supplementary Table 1). Presumptive LAB increased of ca. one log cycle after the first fermentation. At the end of the last fermentation (day 9), cell density of LAB estimated on SDB varied from 9.0 (sourdough back-slopped with tap water LO) to 9.6 (tap water TA) log CFU/g. Under our experimental conditions, only two significant differences (P < 0.05) were found at the end of the last fermentation: LAB cell density in sourdough LO vs. sourdough TA, estimated on both SDB and mMRS. Within the same mature sourdough, cell density estimated on mMRS did not differ (P > 0.05) from that found using SDB. Cell density of yeasts was determined in the sourdoughs and ranged from 5.7 to 6.0 log CFU/g, with no significant difference (P > 0.05) (Supplementary Table 1). After the first fermentation, 75 presumptive LAB isolates were bio-typed by RAPD-PCR analysis and the representative strains were identified by partial sequencing of 16S rRNA and pheS genes. All the fermented doughs harbored a LAB consortium composed of Lactococcus lactis, Leuconostoc citreum and Weissella confusa (Supplementary Table 2). In addition, doughs produced by using tap water B, T and TA also harbored Leuconostoc pseudomesenteroides. The highest number of strains was found for W. confusa. Some of them varied depending on the tap water used. One hundred and twelve Gram-positive, catalase-negative, non-motile, cocci or rods acidifying isolates from the ten mature sourdoughs (after 9 fermentations) were subjected to RAPD-PCR analysis resulting in 31 strains (Supplementary Fig. S3). The following species were identified: Lactobacillus plantarum (12 strains), Pediococcus pentosaceus (12), Ln. citreum (5), Lactobacillus curvatus (1) and Pediococcus acidilactici (1). L. plantarum was identified in all the sourdoughs and was the only LAB species found in the sourdough prepared using tap water C (Table 3). P. pentosaceus was found as co-dominant in seven sourdoughs, prepared with tap water B, LA, LO, P, T, TA and U. Besides L. plantarum and P. pentosaceus, the sourdoughs obtained using tap water B and LO also harbored L. curvatus. These three species were flanked by Ln. citreum in the sourdough obtained using tap water U. Ln. citreum was also found (together with L. plantarum and P. pentosaceus) in the sourdoughs prepared with tap water LA and TA. Besides harboring the previously mentioned four species, the sourdough prepared with tap water T also hosted P. acidilactici. In the sourdoughs prepared with tap water A and V, three and four, respectively, strains of L. plantarum were flanked by one strain of L. curvatus. Within L. plantarum, some strains were detected in two or more sourdoughs (Table 3). For instance, L. plantarum s4 and s6 were found in the sourdoughs obtained with tap water B, C and V, s5 was found in the C, LA, LO and V sourdoughs, and s9 and s10 were found in the A and P sourdoughs. Similar results were found for strains of P. pentosaceus.
Table 3

Species and strains of lactic acid bacteria isolated from mature sourdoughs prepared using 10 different tap water, at the end of the last fermentation.

AaBCLALOPTTAUV
Lactobacillus curvatus s1
Lactobacillus plantarum s4
L. plantarum s5
L. plantarum s6
L. plantarum s7
L. plantarum s8
L. plantarum s9
L. plantarum s10
L. plantarum s11
L. plantarum s12
L. plantarum s13
L. plantarum s14
L. plantarum s15
Leuconostoc citreum s1
Ln. citreum s2
Ln. citreum s3
Ln. citreum s4
Ln. citreum s5
Pediococcus acidilactici s1
Pediococcus pentosaceus s2
P. pentosaceus s3
P. pentosaceus s4
P. pentosaceus s5
P. pentosaceus s6
P. pentosaceus s7
P. pentosaceus s8
P. pentosaceus s9
P. pentosaceus s10
P. pentosaceus s11
P. pentosaceus s12
P. pentosaceus s13

The dot indicates the presence of strains.

aThe name of each sourdough derived from the tap water used during the preparation of sourdough.

Species and strains of lactic acid bacteria isolated from mature sourdoughs prepared using 10 different tap water, at the end of the last fermentation. The dot indicates the presence of strains. aThe name of each sourdough derived from the tap water used during the preparation of sourdough. DNA extracted from the doughs was used as template for 16S metagenetic analysis in order to describe the diversity within the Firmicutes phylum (Fig. 2). Doughs before fermentation harbored 15 major Operational Taxonomic Units (OTUs), which were ever detected at values of relative abundance that did not differ (P > 0.05) among the doughs. W. confusa was the OTU found at the highest relative abundance (ca. 61%), followed by Lc. lactis (13.8%), L. curvatus (9.68%) and Lactococcus garvieae (4.41%). After the first fermentation (day 1), L. curvatus, W. confusa and L. plantarum were the dominant OTUs. Compared to doughs after 1 day of fermentation, the relative abundance of Firmicutes found in the mature sourdoughs (day 9) changed. Overall, 11 major OTUs were attributed to LAB (Table 4, Fig. 2). Six species (L. curvatus, Lactobacillus fermentum, L. plantarum, P. pentosaceus, Ln. citreum and W. confusa) were detected in all the sourdoughs, but their relative abundance varied among sourdoughs. When tap water A and P were used for preparing the respective sourdoughs, L. plantarum was the most abundant OTU (relative abundance of ca. 49%), followed by L. curvatus (ca. 33%) and Lactobacillus brevis (ca. 16%). L. plantarum and L. curvatus were also the two most abundant OTUs in the sourdoughs prepared with tap water B, C and V. In these sourdoughs, W. confusa was also detected at relative abundance ranging from ca. 5 to 19%. L. curvatus and L. fermentum were the dominant OTUs in the sourdoughs produced with tap water LA and LO. The sourdoughs produced with tap water T and U were characterized by L. curvatus at the highest relative abundance (ca. 81%) and by other species (L. plantarum, P. pentosaceus, Ln. citreum, W. confusa and Lc. lactis) whose abundance varied between ca. 1 and 8%. When tap water TA was used for preparing sourdough, L. curvatus was the most abundant OTU (relative abundance of ca. 65%), followed by L. plantarum (ca. 13%), P. pentosaceus (ca. 10%) and W. confusa (ca. 6%).
Figure 2

Permutation analysis summarizing the relative abundance of Firmicutes species found in dough before fermentation (BF), after 8 h of fermentation (1 day) and in the related sourdoughs (9 day) prepared using water collected in ten Italian regions. Euclidean distance and McQuitty’s criterion were used for clustering. Colors correspond to normalized mean data levels from low (green) to high (red). The color scale, in terms of units of standard deviation, is also shown.

Table 4

Relative abundance (%)* of Firmicutes OTU found in the mature sourdoughs prepared using tap water collected in ten Italian regions, at the end of the last fermentation.

AaBCLALOPTTAUV
Enterococcus sp 0.000a0.004 ± 0.005a0.000b0.000b0.000b0.000b0.000b0.000b0.000b0.000b
Lactobacillus brevis 16.168 ± 0.718a0.021 ± 0.002c0.000c0.071 ± 0.032c0.044 ± 0.018c15.563 ± 0.494a0.266 ± 0.055b0.000c0.233 ± 0.077bc0.010 ± 0.005c
Lactobacillus curvatus 33.921 ± 0.272d33.632 ± 1.315d38.790 ± 0.640c57.783 ± 5.225b67.709 ± 3.516b33.528 ± 0.630d80.679 ± 3.081a64.886 ± 0.608b82.100 ± 0.536a38.548 ± 0.749c
Lactobacillus fermentum 0.191 ± 0.040e0.347 ± 0.003d0.011 ± 0.025 f33.675 ± 4.360a23.006 ± 0.753b0.131 ± 0.020e0.865 ± 0.123c0.541 ± 0.064 cd0.968 ± 0.134c0.183 ± 0.033e
Lactobacillus paralimentarius 0.322 ± 0.049a0.000b0.000b0.000b0.000b0.257 ± 0.149a0.000b0.000b0.000b0.000b
Lactobacillus plantarum 48.512 ± 0.321b53.595 ± 0.397a31.798 ± 0.756d1.825 ± 0.144 g1.289 ± 0.092 g49.782 ± 0.807b2.875 ± 0.206 f12.620 ± 0.292e2.882 ± 0.026 f46.598 ± 0.165c
Pediococcus pentosaceus 0.335 ± 0.016 f3.844 ± 0.120c1.291 ± 0.249e2.480 ± 0.147d1.809 ± 0.352e0.279 ± 0.044 f7.992 ± 1.070ab9.637 ± 0.343a7.643 ± 0.442b2.711 ± 0.002d
Leuconostoc citreum 0.142 ± 0.009e2.539 ± 0.605 cd5.863 ± 0.540a1.277 ± 0.050d1.507 ± 0.749d0.080 ± 0.045 f3.613 ± 1.085bc3.471 ± 0.155c2.847 ± 0.180c4.532 ± 0.131b
Weissella confusa 0.026 ± 0.008d4.713 ± 0.660b19.401 ± 0.831a2.506 ± 0.479c4.014 ± 2.518bc0.013 ± 0.019d2.570 ± 0.168c5.888 ± 0.001b2.197 ± 0.054c5.620 ± 0.469b
Lactococcus lactis 0.000e1.305 ± 0.331bcd2.845 ± 0.219a0.384 ± 0.076d0.524 ± 0.439d0.000e1.137 ± 0.370bcd2.948 ± 0.052a1.126 ± 0.090 cd1.799 ± 0.010b
Lactobacillales 0.383 ± 0.099a0.000b0.000b0.000b0.000b0.366 ± 0.041a0.003 ± 0.004b0.000b0.000b0.000b
Others0.000a0.000a0.000a0.000a0.000a0.000a0.000a0.010 ± 0.003a0.006 ± 0.002a0.000a

*Values are the mean (±S.D.) of two analytical replicates performed using DNA extracted from a pool composed of sourdoughs obtained in two parallel and independent series of fermentations. Values in the same row with a common letter were not significantly different at a P value of 0.05.

aThe name of each sourdough derived from the tap water used during the preparation of sourdough.

Permutation analysis summarizing the relative abundance of Firmicutes species found in dough before fermentation (BF), after 8 h of fermentation (1 day) and in the related sourdoughs (9 day) prepared using water collected in ten Italian regions. Euclidean distance and McQuitty’s criterion were used for clustering. Colors correspond to normalized mean data levels from low (green) to high (red). The color scale, in terms of units of standard deviation, is also shown. Relative abundance (%)* of Firmicutes OTU found in the mature sourdoughs prepared using tap water collected in ten Italian regions, at the end of the last fermentation. *Values are the mean (±S.D.) of two analytical replicates performed using DNA extracted from a pool composed of sourdoughs obtained in two parallel and independent series of fermentations. Values in the same row with a common letter were not significantly different at a P value of 0.05. aThe name of each sourdough derived from the tap water used during the preparation of sourdough. When the 10 newly prepared sourdoughs were used as starters for bread-making, the resulting breads approximately showed the same differences as those found for breads obtained with traditional sourdough propagated using different tap water (Supplementary Table 3).

Correlations between sourdough microbiota and chemical composition of tap water

PCA based on the chemical characteristics of water and on the microbiological characteristics (LAB cell density, percentage of strains per species, relative abundance of OTU) of the mature sourdoughs showed that two first principal components explained ca. 54% of the total variance (Fig. 3). Sourdoughs produced with tap water C, V and TA were grouped in the second quadrant because of the highest values of relative abundance of W. confusa, Lc. lactis and Ln. citreum. Sourdoughs prepared with tap water LA, LO, T and U fell in the third quadrant. They were characterized by the highest relative abundance of L. curvatus and L. fermentum and presence of strains allotted to P. pentosaceus. Sourdoughs A and P, characterized by the highest relative abundance of L. brevis, fell in the fourth quadrant. Positive correlations (P < 0.05) were found between concentration of potassium in tap water and number of L. plantarum strains (r = 0.86) and relative abundance of W. confusa (r = 0.80). On the contrary, potassium and L. curvatus were negatively correlated (r = −0.63). Magnesium concentration in tap water was correlated positively with L. fermentum (r = 0.69). Relative abundances of Ln. citreum, W. confusa and Lc. lactis were negatively correlated with magnesium and, especially, chloride (r ≤ −0.60). Positive correlations (P < 0.05) were found between sodium and relative abundance of L. brevis (r = 0.78) and L. plantarum (r = 0.25). Sodium was negatively correlated with L. fermentum (r = −0.69). Concentration of sulphate in water was positively correlated with number of P. pentosaceus (r = 0.82) and Ln. citreum (r = 0.69) strains. Bicarbonate and relative abundance of L. fermentum were also correlated (r = 0.75).
Figure 3

Score (A) and loading (B) plots of first and second principal components after Principal Component Analysis performed on the chemical characteristics of the water collected in ten Italian regions and on the microbiological characteristics of the sourdoughs prepared at laboratory. L.p. strains, number of strains of Lactobacillus plantarum; L.c. strains, number of Lactobacillus curvatus strains; P.p. strains, number of Pediococcus pentosaceus strains; P.a. strains, number of Pediococcus acidilactici strains; Ln. c. strains, number of Leuconostoc citreum strains; W.c.%OTU, relative abundance of Weissella confusa; L.p.%OTU, relative abundance of Lactobacillus plantarum; L.f.%OTU, relative abundance of Lactobacillus fermentum; L.c.%OTU, relative abundance of Lactobacillus curvatus; P.p%OTU, relative abundance of Pediococcus pentosaceus; Ln.c.%OTU, relative abundance of Leuconostoc citreum; Lc.l.%OTU, relative abundance of Lactococcus lactis.

Score (A) and loading (B) plots of first and second principal components after Principal Component Analysis performed on the chemical characteristics of the water collected in ten Italian regions and on the microbiological characteristics of the sourdoughs prepared at laboratory. L.p. strains, number of strains of Lactobacillus plantarum; L.c. strains, number of Lactobacillus curvatus strains; P.p. strains, number of Pediococcus pentosaceus strains; P.a. strains, number of Pediococcus acidilactici strains; Ln. c. strains, number of Leuconostoc citreum strains; W.c.%OTU, relative abundance of Weissella confusa; L.p.%OTU, relative abundance of Lactobacillus plantarum; L.f.%OTU, relative abundance of Lactobacillus fermentum; L.c.%OTU, relative abundance of Lactobacillus curvatus; P.p%OTU, relative abundance of Pediococcus pentosaceus; Ln.c.%OTU, relative abundance of Leuconostoc citreum; Lc.l.%OTU, relative abundance of Lactococcus lactis.

Discussion

In this study ten tap water, collected from as many Italian regions characterized by cultural heritage in leavened baked goods, were used for propagating or preparing firm (type I) sourdoughs. All the tap water used in this study could be classified as either hard (120–300 mg of CaCO3/L; water A, B, C, P, TA, V) or very hard (more than 300 mg/L; the remaining ones). Although some researchers claimed that hardness of water should range from 50 to 200 mg/L[25], in Italy, one of the major countries in the world in terms of bread cultural heritage, water evidently show, on average, hardness values above that range. When trying to assess whether tap water would influence sourdough, we found two fairly opposed effects, depending on the sourdough protocol of use (propagation vs. preparation). When different tap water were used during nine days of laboratory propagation of a traditional and mature Apulian sourdough, LAB cell density did not differ, regardless of the type of tap water used. Regarding the composition of LAB population of the propagated sourdoughs, around 60–80% of all the strains were identical to those detected before propagation. Previously, it had been shown that five out of seven traditional sourdoughs, propagated for 20 days under laboratory conditions, harbored from 50 to 100% of the LAB strains detected before starting the propagation[18]. However, in the current study two strains belonging to L. plantarum and P. pentosaceus, which had not been detected in the sourdough before propagation, were found in eight propagated sourdoughs. The retrieval of these additional LAB could be explained by temporary fluctuations, although we cannot exclude that these LAB could have the chance to replace the lactobacilli strains that dominate the traditional sourdough[6]. The results found in the current study showed that the type of tap water used during propagation of a mature and stable artisan sourdough had modest effect on the LAB population and, consequently, on the acidifying capacity. During laboratory propagation, cell density of yeasts decreased. This could be due to the place of sourdough propagation, being laboratories less subjected than bakeries to environmental contamination with baker’s yeast[18]. In order to scout the effect of tap water on sourdough bread, the propagated sourdoughs were used for making breads, in combination with a low concentration of baker’s yeast. The breads differed for some textural features. Overall, bread texture results from interactions between gluten matrix (whose behavior differs depending on flour), type of leavening agent used, fermentation conditions and chemical composition of tap water[26]. In the experimental design of this study, the tap water used for sourdough propagation, preparation and bread-making was the only variable. Thus, the differences among breads in terms of gumminess, chewiness and hardness might be attributed to tap water. These textural attributes positively correlated with the concentration of bicarbonate, but negatively with chloride. Other weaker positive correlations were between bread hardness and chewiness, and concentration of calcium. Besides, bread hardness also positively correlated with the concentration of potassium. Previous studies showed that pH and hardness of tap water affect both rheological behavior of dough[21] and texture of bread[20,22]. Water hardness indicates its content of calcium and magnesium[26]. In detail, temporary hardness refers to calcium and magnesium bicarbonates, which decrease upon boiling, whereas permanent hardness, not affected by boiling, refers to calcium and magnesium sulphates[26]. In the current study, relatively weak positive correlations were found between water hardness and bread textural features. This could probably be due to the fact that values of hardness determined for the ten tap water express calcium, magnesium, bicarbonate and sulphate (total hardness), but magnesium in water varied at much lesser extent than calcium and bicarbonate. When tap water were used for preparing the corresponding sourdoughs, the values of pH became lower than 4.5 after two to four fermentations (back-slopping), depending on the tap water. These values of pH limit the growth of many microorganisms that normally contaminate cereal-based doughs, such as some members of the Enterobacteriaceae family. Given that the same batch of flour was used, the reasons for different pH values found during early fermentations should be searched among: (i) different pH and buffering capacity of water; and (ii) specific effect of minerals on the fermentative metabolism of LAB[27]. Tap water T and U had the lowest pH and relatively high total concentration of cations, which overall favor acidification. Regarding the effect of minerals on LAB, no clear relationships were found at the early fermentation steps. However, some minerals (e.g., sulphate, sodium, potassium and magnesium) are normally contained in the media routinely used for LAB cultivation[28]. Although the concentration of most of minerals (especially potassium and magnesium) in flour is much higher than in tap water[29], some of them could not be available to microorganisms, because sequestered by flour components. For instance, phytic acid in cereals chelates magnesium and other divalent cations[26]. It may be hypothesized that tap water used in dough preparation, along with flour, could provide LAB with minerals necessary to their growth. Yet, such a hypothesis would fall before the results obtained when different tap water were used during propagation of a traditional sourdough. In order to solve this issue, we hypothesize that minerals provided by water (besides those by flour) could drive LAB population just during preparation of sourdough, whose early fermentations are due to bacteria present at low cell density. Vice versa, the influence of minerals from tap water would be negligible during propagation of a mature sourdough, inhabited by high microbial numbers. Based on culture-dependent analysis, the newly prepared sourdoughs harbored from one to five species of LAB. L. plantarum and P. pentosaceus were the most commonly isolated species, whereas L. curvatus, Ln. citreum and P. acidilactici were occasionally isolated. L. plantarum and P. pentosaceus have been detected in 43% and 14%, respectively, of more than 500 sourdoughs[5]. Upon culture-independent analysis, the sourdoughs were distinguished based on relative abundance of eight LAB OTUs, among which L. plantarum and L. curvatus were the most important. Compared to the results from culture-independent analysis, L. curvatus was isolated at lower frequency, whereas L. plantarum was more frequently isolated. We hypothesize that L. curvatus would grow in SDB medium at lower extent than L. plantarum. Indeed, the medium chosen for culture-dependent analysis may affect the results describing sourdough bacterial diversity[30]. As shown by PCA, LAB population in the sourdoughs and chemical and microbiological features of tap water used for their preparation partly overlapped. This occurred for tap water A and P and the corresponding sourdoughs. Water LA, LO, T and U, sharing high values of hardness and electrical conductivity (PCA in Fig. 1), gave sourdoughs which harbored L. curvatus at high relative abundance and strains of P. pentosaceus. In some cases, correlations found between relative abundance of LAB OTUs and chemical features of tap water would suggest that some minerals, such as magnesium, potassium, sodium and sulphate, drive the establishment and assembly of the sourdough LAB biota. Microbial cells need magnesium for several biochemical processes (e.g., biosynthesis of nucleic acids and proteins). Bacteria may show different ability to accumulate magnesium in the cytoplasm. It has been reported that L. brevis accumulates higher concentration of this mineral than L. plantarum[31]. This different ability was reflected in higher magnesium concentration in bread started with Saccharomyces cerevisiae and L. brevis[32]. Compared to sodium chloride, magnesium sulphate caused faster growth of Lactobacillus sakei in MRS[33]. Although milk contains sufficient magnesium for microbial growth, an exogenous surplus (ca. 16–50% of the normal supply in milk) of this mineral stimulated growth of two streptococci[34]. Potassium is another macro-nutrient for microbial cells, because it is involved in many enzyme activities[27]. In this study, we found that potassium was positively correlated with one member of the Leuconostocaceae family. Potassium (along with manganese and phosphate) is essential for growth of Leuconostoc mesenteroides. Cell density of LAB was higher in cheeses wherein potassium chloride partially replaced sodium chloride[35]. Similarly, potassium chloride showed lower inhibitory effect than sodium chloride against Lactobacillus casei[36,37]. Conversely, it has been recently reported that cheeses wherein sodium was partially replaced with potassium contained lower cell number of Lc. lactis and L. casei[38]. Overall, these studies suggest that the same mineral may have different effects depending on the bacterial species. This study showed that the type of tap water drives the assembly of the LAB biota in newly prepared sourdoughs, but hardly influences the microbiota of stable sourdough. Although we found different counts of heterotrophic microorganisms in the tap water used in this study, the role of water microbiota during sourdough preparation could perhaps be neglected, because of lower level of microbial contamination, compared to that of doughs during fermentation. On the contrary, we found that water mineral concentrations could be an additional driver, along with flour and fermentation parameters, for sourdough bacterial biota establishment.

Methods

Chemical and microbiological analyses on tap water

The following chemical analyses were performed on 500 ml of water by SAMER laboratory (Servizio analisi chimiche-merceologiche, Bari): fixed residue at 180 °C[39]; electrical conductivity[40]; bicarbonate (determination by titration, according to an internal method developed by CNR-IRSA); calcium, lithium, sodium, ammonium, potassium, magnesium, nitrate, fluoride, chloride, bromide, nitrite, phosphate and sulphate (through ionic chromatography)[41]; sulphites[42]; pH[43]; hardness[44]. In addition, the SAR was calculated using the following formula: Microbiological analyses were performed by pour-plating water samples on yeast agar (yeast extract 3 g/L, tryptone 6 g/L, agar 15 g/L, pH 7.2 ± 0.2). Colonies were counted after incubation at 22 °C (psychrophilic) and 37 °C (mesophilic) for 72 and 48 h, respectively, thus obtaining the cell density of heterotrophic microorganisms[45].

Propagation of a traditional and mature sourdough with different tap water

An Apulian, durum wheat semolina 20-years-old, type I sourdough (dough yield, DY, of 160), dominated by Lactobacillus sanfranciscensis s1, L. sanfranciscensis s2, Lactobacillus plantarum s1, L. plantarum s2 and Saccharomyces cerevisiae s1, was continuously propagated for nine days, using the same batch of durum wheat semolina (Grandi Molini Italiani, brand “Ca’ Bianca”, Rovigo, Italy) but ten different tap water. One of these water, namely that collected in Puglia (P), was the same used for conventional propagation of the Apulian traditional and mature sourdough considered in this study. The gross composition of semolina (alias “flour”) was the following: moisture, 12.9%; protein, 11.1%; carbohydrates, 71.0%; fiber, 3.5%, fat, 1.5%. Propagation was performed for nine days because we reasonably expected to find the (eventual) effect of water on sourdough in such a lapse of time. The following parameters were adopted in the propagation (back-slopping): DY, 160; inoculum ratio, 20%, fermentation temperature, 30 °C; fermentation time, 6 h; resting time (at 4 °C), 18 h. Before starting propagation and after the last fermentation (day 9), pH, volume increase (in ml), cell densities of LAB and yeasts were monitored in the sourdoughs.

Sourdough preparation

The ten tap water were used for preparing as many sourdoughs, according to the scheme in Fig. 4. Before fermentation, 10 g of dough were sampled and stored at −20 °C for extraction of total DNA. After fermentation (30 °C, 8 h), 10 g of dough were sampled, whereas the remaining dough was stored at 4 °C for 16 h (resting). Upon the 1st back-slopping (inoculum ratio, 20%; DY, 160), dough was fermented (30 °C, 6 h) and then stored at 4 °C for 18 h. After this second fermentation, other seven fermentation steps followed, keeping the same inoculum ratio, DY and conditions of fermentation. At the end of the last (ninth) fermentation, 10 g of dough were sampled. Based on the available literature, a number of back-slopping steps ranging from 5 to 10 is usually needed to obtain mature sourdough[5,46]. Serial fermentations were performed in duplicate. pH was measured at the beginning and end of each fermentation. Presumptive LAB were enumerated in all the doughs at the beginning and end of the first fermentation and at the end of the ninth fermentation. Yeasts were enumerated at the end of the ninth fermentation.
Figure 4

Schematic design showing the production of sourdoughs at laboratory and the analyses performed.

Schematic design showing the production of sourdoughs at laboratory and the analyses performed.

Acidification and microbial cell densities in doughs and sourdoughs

The values of pH were determined by direct insertion of a Foodtrode (Hamilton, Bonaduz, Switzerland) electrode. Before plate count, the two biological replicates for type of dough produced by using different water were pooled. Each pool was homogenized, serially diluted with sterile peptone water and plate counted. LAB were enumerated using modified de Man-Rogosa-Sharpe (mMRS) (Oxoid, Basingstoke, Hampshire, UK) and Sour Dough Bacteria (SDB) agar media, both supplemented with cycloheximide (0.1 g/L). Yeasts were enumerated using Sabouraud Dextrose agar (SDA) supplemented with chloramphenicol (0.1 g/L)[47].

Isolation, identification and biotyping of LAB in sourdoughs

Ten colonies from SDB agar plates inoculated with the intermediate dilution of each single dough (obtained on the first day of sourdough production) and sourdough (traditional sourdough before and after propagation and sourdoughs prepared in laboratory) were randomly picked up to isolate LAB. Isolation of pure bacterial cultures was obtained upon two repeated streaks, using SDB broth. DNA was extracted from Gram-positive, catalase-negative cocci and rods able to acidify the medium, using the Qiagen (Courtaboeuf, France) DNeasy Blood and Tissue Kit, following the manufacturer’s instructions[48]. LAB were biotyped through RAPD-PCR using P4, P7 and M13 primers, applying the same conditions previously described[17,49]. The PCR products (3 µl) were separated by electrophoresis at 100 V for 120 min on 1% (w/v) agarose gel containing (0.005%, v/v) GelRed® Nucleic Acid Gel Stain (Biotium, Inc., Fremont, CA), for detecting the DNA by UV trans-illumination. The molecular sizes of the amplified DNA fragments were estimated by comparison with the HyperLadderTM 1 kb (Bioline Reagents Limited, London, UK). RAPD-PCR profiles were acquired by Gel Doc EQ System (Bio-Rad, Hercules, CA) and compared using Fingerprinting II InformatixTM Software (Bio-Rad). Representative LAB strains were identified using LpigF and LpigR primers targeting 16S rDNA gene[50] and, when necessary, recA[51], pheS[52] and three couples of primers targeting the 16S/23S spacer region, in order to discriminate species within the Lactobacillus sakei group[53].

Extraction of total DNA from sourdoughs and Illumina MiSeq analysis

10 g of doughs and related sourdoughs were homogenized with 90 ml of sterile saline solution. Pellet was treated with FastPrep and DNA was extracted using the FastDNA Spin Kit for Soil (MP Biomedicals, Illkrich, France), following the manufacturer’s instructions[54]. Concentration and purity of DNA was assessed spectrophotometrically using the Nanodrop ND-1000 (Thermo Fisher Scientific Inc.). DNA was used as template in PCR using primers Firm350F/Firm814R, targeting the region V3-V4 of Firmicutes[55]. PCR were run by RTL Genomics (Lubbock, TX), using internal protocols. PCR products were sequenced at RTL Genomics, using the Illumina 2 × 300 bp paired-end MiSeq platform. Processing of sequenced reads was carried out using, in sequence, the PEAR Illumina paired-end read merger[56], UCHIME software[57], USEARCH global alignment algorithm[58], and UPARSE OTU selection algorithm[59], as previously described[8]. Operational Taxonomic Units (OTUs) were identified using a database of high quality sequences derived from the NCBI.

Bread-making

Both traditional and mature, and the newly prepared sourdoughs were used as starters in bread-making. In this latter case, the sourdoughs were considered to be mature after nine fermentations. In detail, 60 g of sourdough (10% inoculum rate) was used as ingredient in bread dough together with 337.5 g of durum wheat semolina (the same type and batch used during sourdough propagation/preparation), 202.5 g of tap water (differing depending on the sourdough used) and 1.5 g (corresponding to 0.25% inoculum rate) of baker’s yeast (Zeus IBA s.r.l. Firenze, Italy). Two loaves per sourdough bread were shaped, each weighing ca. 250 g. After fermentation (30 °C, 3 h) and baking (220 °C, 25 min), bread loaves were cooled at room temperature for 18 h.

Analyses of breads

Specific volume (cm3/g) was determined using the rapeseed displacement method[60]. Breads were subjected to Texture Profile Analysis (TPA) by using the Universal Testing Machine 3344 (Instron, Norwood, USA), equipped with a cylindrical (diameter, 3.6 cm) probe and a 1 kN load cell. Bread loaves were compressed (30%, two cycles) and the following parameters were registered: hardness, defined as the peak force (expressed in N) during the first compression cycle; elasticity, defined as the elastic recovery (expressed as percentage) that occurs when the compressive force is removed; gumminess (expressed in N); chewiness (expressed in N); cohesiveness, defined as the non-dimensional ratio of the positive force area during the second compression cycle to the positive force area recorded during the first compression cycle. Bread loaves not used for TPA were sliced and the relative images were scanned full-scale using an Image Scanner (Amersham Pharmacia Biotech, Uppsala, Sweden), at 300 dots per inch, and analyzed in grey scale (0–255). Image analysis was performed using the UTHSCSA ImageTool program (Version 3.0, University of Texas Health Science Centre, San Antonio, Texas, freely downloadable at, http://en.bio-soft.net/draw/ImageTool.html)[61].

Statistical analyses

Two parallel and independent series of fermentations were run for type of water. One-way ANOVA was applied to the data from two biological replicates (analyzed in triplicate for getting the results about pH and volume increase of sourdough, and physical features of bread) and Tukey’s procedure (at P = 0.05) was used to perform pair comparison of treatment means. In addition, the following data were subjected to PCA, using Statistica 7.0 for Windows, and cluster analysis, using PermutMatrix[62]: (i) chemical and microbiological characteristics of the water; (ii) characteristics of sourdough bacterial community (assessed through culture-dependent and – independent methods). Spearman correlations between chemical characteristics of the water and OTUs found in the newly prepared sourdoughs were computed using Statistica v. 7.0. Supplementary figures and tables
  35 in total

1.  PermutMatrix: a graphical environment to arrange gene expression profiles in optimal linear order.

Authors:  Gilles Caraux; Sylvie Pinloche
Journal:  Bioinformatics       Date:  2004-11-16       Impact factor: 6.937

2.  Application of multilocus sequence analysis (MLSA) for rapid identification of Enterococcus species based on rpoA and pheS genes.

Authors:  Sabri M Naser; Fabiano L Thompson; Bart Hoste; Dirk Gevers; Peter Dawyndt; Marc Vancanneyt; Jean Swings
Journal:  Microbiology (Reading)       Date:  2005-07       Impact factor: 2.777

3.  Taxonomic structure and stability of the bacterial community in belgian sourdough ecosystems as assessed by culture and population fingerprinting.

Authors:  Ilse Scheirlinck; Roel Van der Meulen; Ann Van Schoor; Marc Vancanneyt; Luc De Vuyst; Peter Vandamme; Geert Huys
Journal:  Appl Environ Microbiol       Date:  2008-02-29       Impact factor: 4.792

4.  Improved group-specific PCR primers for denaturing gradient gel electrophoresis analysis of the genetic diversity of complex microbial communities.

Authors:  Martin Mühling; John Woolven-Allen; J Colin Murrell; Ian Joint
Journal:  ISME J       Date:  2008-03-13       Impact factor: 10.302

5.  Differentiation of Lactobacillus plantarum, L. pentosus, and L. paraplantarum by recA gene sequence analysis and multiplex PCR assay with recA gene-derived primers.

Authors:  S Torriani; G E Felis; F Dellaglio
Journal:  Appl Environ Microbiol       Date:  2001-08       Impact factor: 4.792

Review 6.  Non-dairy lactic fermentations: the cereal world.

Authors:  R F Vogel; R Knorr; M R Müller; U Steudel; M G Gänzle; M A Ehrmann
Journal:  Antonie Van Leeuwenhoek       Date:  1999 Jul-Nov       Impact factor: 2.271

7.  Characterization of non-starter lactic acid bacteria from Italian ewe cheeses based on phenotypic, genotypic, and cell wall protein analyses.

Authors:  M De Angelis; A Corsetti; N Tosti; J Rossi; M R Corbo; M Gobbetti
Journal:  Appl Environ Microbiol       Date:  2001-05       Impact factor: 4.792

8.  Contribution of reutericyclin production to the stable persistence of Lactobacillus reuteri in an industrial sourdough fermentation.

Authors:  Michael G Gänzle; Rudi F Vogel
Journal:  Int J Food Microbiol       Date:  2003-01-15       Impact factor: 5.277

9.  Selection of potential probiotic lactobacilli from pig feces to be used as additives in pelleted feeding.

Authors:  Maria De Angelis; Sonya Siragusa; Mariagrazia Berloco; Leonardo Caputo; Luca Settanni; Giuditta Alfonsi; Marica Amerio; Augusto Grandi; Adriano Ragni; Marco Gobbetti
Journal:  Res Microbiol       Date:  2006-06-23       Impact factor: 3.992

10.  Taxonomic structure and monitoring of the dominant population of lactic acid bacteria during wheat flour sourdough type I propagation using Lactobacillus sanfranciscensis starters.

Authors:  Sonya Siragusa; Raffaella Di Cagno; Danilo Ercolini; Fabio Minervini; Marco Gobbetti; Maria De Angelis
Journal:  Appl Environ Microbiol       Date:  2008-12-16       Impact factor: 4.792

View more
  2 in total

1.  Mechanistic Insight into Yeast Bloom in a Lactic Acid Bacteria Relaying-Community in the Start of Sourdough Microbiota Evolution.

Authors:  Mugihito Oshiro; Masaru Tanaka; Rie Momoda; Takeshi Zendo; Jiro Nakayama
Journal:  Microbiol Spectr       Date:  2021-10-20

Review 2.  Sourdough Microbiome Comparison and Benefits.

Authors:  Siew Wen Lau; Ann Qi Chong; Nyuk Ling Chin; Rosnita A Talib; Roseliza Kadir Basha
Journal:  Microorganisms       Date:  2021-06-23
  2 in total

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