Literature DB >> 29367606

Bacterial community in naturally fermented milk products of Arunachal Pradesh and Sikkim of India analysed by high-throughput amplicon sequencing.

H Nakibapher Jones Shangpliang1, Ranjita Rai1, Santosh Keisam2, Kumaraswamy Jeyaram2, Jyoti Prakash Tamang3.   

Abstract

Naturally fermented milk (NFM) products are popular ethnic fermented foods in Arunachal Pradesh and Sikkim states of India. The present study is the first to have documented the bacterial community in 54 samples of NFM products viz. chhurpi, churkam, dahi and gheu/mar by high-throughput Illumina amplicon sequencing. Metagenomic investigation showed that Firmicutes (Streptococcaceae, Lactobacillaceae) and Proteobacteria (Acetobacteraceae) were the two predominant members of the bacterial communities in these products. Lactococcus lactis and Lactobacillus helveticus were the predominant lactic acid bacteria while Acetobacter spp. and Gluconobacter spp. were the predominant acetic acid bacteria present in these products.

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Mesh:

Year:  2018        PMID: 29367606      PMCID: PMC5784140          DOI: 10.1038/s41598-018-19524-6

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


Introduction

Naturally fermented milk (NFM) products are prepared by one of the oldest processes of milk fermentation in the world using raw or boiled milk to ferment spontaneously or by back-sloping method[1]. Some naturally fermented milk products are chhu, chhurpi, dahi, lassi, misti dahi, mohi, philu, shoyu, somar and srikhand (cow/buffalo/yak milk) of India, Nepal, Pakistan, Bhutan and Bangladesh[2-5], kurut of China[6], aaruul, airag, byasulag, chigee, eezgii, khoormog and tarag of Mongolia[7-9], ergo of Ethiopia, kad, lben, laban, rayeb, zabady, zeer of Morocco and Northern African and Middle East countries, rob (from camel milk), biruni (cow/camel milk), mish (cow/camel milk) of Sudan, amasi (hodzeko, mukaka wakakora) of Zimbabwe, nunu (from raw cow milk) of Ghana and kule naoto of Kenya[10,11], filmjölk and långfil of Sweden[12], koumiss or kumis or kumys or kymys of the Caucasian area[13]. Various cultivation-based studies reported lactic acid bacteria as the predominant microbiota present in the NFM products of the world mostly Lactococcus lactis subsp. cremoris, Lc. lactis subsp. lactis, Lactobacillus casei/Lb. paracasei, Lb. fermentum, Lb. helveticus, Lb. plantarum, Lb. acidophilus, Lb. coryniformis, Lb. curvatus, Lb. kefiranofaciens, Lb. kefiri, Lb. buchneri, Lb. jensenii, Lb. kitasatonis, Enterococcus faecium, E. faecalis and Leuconostoc mesenteroides, Streptococcus thermophilus, and others[11,14-19]. Besides bacteria, yeasts are also present in some NFM products which include Candida lusitaniae, C. parapsilosis, C. rugosa, C. tropicalis, Kluyveromyces marxianus, Saccharomyces cerevisiae, Galactomyces geotrichum, Issatchenkia orientalis, Kazachstania unispora, Pichia mandshurica, P. fermentans, P. kudriavzevii, and others[8,11,13,16,20-22]. High altitude (upto 4878 m)-naturally fermented milk products of cow (Bos taurus) or yak (Bos grunniens)-milk prepared by back-sloping are common in the Himalayan states of Arunachal Pradesh and Sikkim in India which include chhurpi, churkam, dahi and gheu/mar (Fig. 1a–f) as a protein-rich food supplement and also as a source of livelihood[5]. Dahi, similar to yogurt, is the first product of milk fermentation by back-sloping, and is consumed as savory non-alcoholic beverage. Gheu/mar (crude butter) is a fat-rich milk product obtained by a process of milk churning in which the casein-rich soft-variety product called chhurpi (cottage cheese-like) is produced, and is consumed as curry/soup in meals; and churkam (hard-variety of chhurpi) is the product of dehydrated chhurpi, which is used as masticatory as chewing gum in high altitudes. Lactic acid bacteria were predominant with the load of 108 cfu/g in the Himalayan fermented milk products[17]. Lactobacillus bifermentans, Lb. alimentarius, Lb. paracasei subsp. pseudoplantarum, Lactococcus (Lc.) lactis subsp. lactis, Lc. lactis subsp. cremoris; Lb. plantarum, Lb. curvatus, Lb. fermentum, Lb. kefir, Lb. hilgardii, Enterococcus faecium and Leuconostoc mesenteroides were reported from dahi and chhurpi of Sikkim based on phenotypic, biochemical characterization and mol (%) content of G+C of DNA[14,17]. However, no study has been conducted yet on churkam and gheu/mar.
Figure 1

(a) Chhurpi of Arunachal Pradesh (AP); (b) Chhurpi of Sikkim; (c) Churkam of AP; (d) Dahi of Sikkim; (e) Gheu of Sikkim; (f) Mar of AP.

(a) Chhurpi of Arunachal Pradesh (AP); (b) Chhurpi of Sikkim; (c) Churkam of AP; (d) Dahi of Sikkim; (e) Gheu of Sikkim; (f) Mar of AP. As it is well known that the cultivability of microbiota is still a limiting factor in understanding the natural food fermentation[23,24], application of high throughput metagenomic techniques like Illumina amplicon sequencing may serve to give more insight into microbial ecology of natural food fermentation. Metagenomic studies of various fermented milk products like kefir, buttermilk, cheeses etc have shown a realistic view of the microbial community structure involved in the natural milk fermentation[21,24-28]. In this study we aimed to anlayse the bacterial community structure of fifty-four samples of naturally fermented milk products (chhurpi, churkam, dahi and gheu/mar) of Arunachal Pradesh and Sikkim by Illumina amplicon sequencing. This is the first report on bacterial community in NFM products of the Himalayas using in-depth metagenomic analysis.

Results

Overall microbial community structure

The bacterial composition of the different naturally fermented milk products (chhurpi, churkam, dahi and gheu/mar) was compared at different taxonomic levels (Fig. 2a–c). The bacterial phyla present in four types of NFM products were Firmicutes and Proteobacteria, respectively (data not shown). Phylum Firmicutes was represented by six families belonging to Streptococcaceae (24.2%), Lactobacillaceae (16.8%), Leuconostocaceae (8.0%), Staphylococcaceae (6.8%), Bacillaceae (1.6%), and Clostridiaceae (1.3%); and phylum Proteobacteria included Acetobacteraceae (26.8%), Pseudomonadaceae (3.3%) and Enterobacteriaceae (1.2%) (Fig. 1a). The overall bacterial diversity of these NFM products were predominated by species belonging to the lactic acid bacteria: Lactococcus lactis (19.7%) and Lactobacillus helveticus (9.6%) and Leuconostoc mesenteroides (4.5%) (Fig. 2b,c). Additionally, species belonging to the acetic acid bacteria: Acetobacter lovaniensis (5.8%), Acetobacter pasteurianus (5.7%), Gluconobacter oxydans (5.3%), and Acetobacter syzygii (4.8%) were also observed (Fig. 2b,c). The percentage of Enterobacteriaceae was 1.2% (Fig. 2a), whereas the percentage of genus Enterococcus was below 0.5% (data not shown), hence it was not shown at the genus level (Fig. 2b). Percentage of Streptococcus thermophilus was below 0.1% (data not shown). The percentage of unclassified bacteria at the taxonomical levels was 7.9% (Fig. 2a–c). Presence of uncultured bacterium was shown in all samples (Fig. 2c).
Figure 2

The overall bacterial composition of NFMs: chhurpi, churkam, gheu/mar and dahi at different taxonomic levels (a) Family, (b) Genus and (c) Species.

The overall bacterial composition of NFMs: chhurpi, churkam, gheu/mar and dahi at different taxonomic levels (a) Family, (b) Genus and (c) Species.

Multivariate analysis

PCA using species-level OTUs data showed significant differences among the NFM products studied (Fig. 3). The NFM products collected from two regions (Arunachal Pradesh and Sikkim) showed significant difference in the bacterial community structure (ANOSIM, p = 0.005, R = 0.16), but however, there was no significant difference between the same products prepared from different sources of milk (cow or yak). This reflects the regional contribution to the bacterial diversity of these products with respect to their location of preparation, but not from the milk source whereby these products are being prepared.
Figure 3

PCA plot shows the difference in bacterial community structure among the NFM products of Arunachal Pradesh and Sikkim. Arrow indicates the species direction. Significant difference is shown by ANOSIM analyzed with 10,000 permutations using Bray-Curtis distances.

PCA plot shows the difference in bacterial community structure among the NFM products of Arunachal Pradesh and Sikkim. Arrow indicates the species direction. Significant difference is shown by ANOSIM analyzed with 10,000 permutations using Bray-Curtis distances.

Alpha diversities

Alpha diversities were compared on the basis of states (Sikkim and Arunachal Pradesh)/places of collection of samples, animal’s milk source (cow/yak) and product types (Table 1). There was no significant difference between the states/regions and animal’s milk source, respectively. However, significance difference (p = 0.0125) was observed in terms of product types i.e., chhurpi and churkam in Chao1 species richness (Fig. 4). Chhurpi and churkam are two final products of milk fermentation where the latter is produced through a process of dehydration of the former and is usually kept for a longer fermentation. Multivariate analysis of species level OTUs showed a significant difference (ANOSIM p = 0.002, R = 0.16) between the two products. However, there is no significant difference among the general fermenting bacteria. Also, we observed a significant difference in Clostridiaceae (p = 0.0004) and Pseudomonadaceae (p = 0.013) between these two food types (Fig. 5).
Table 1

Alpha diversity profiles of NFM products of India.

Group1Group 2Group 1 meanGroup 1 stdGroup 2 meanGroup 2 stdt statp-value
Chao1
Chhurpi Dahi 138.665479433.9333255590.5694444428.799015522.549699487 0.0152
Chhurpi Churkam 138.665479433.93332555108.668354626.93538832.695182315 0.0125
Dahi Gheu 90.5694444428.79901552127.618022933.10848324−1.913320290.0738
Chhurpi Gheu 138.665479433.93332555127.618022933.108483240.9251463040.3583
Churkam Gheu 108.668354626.9353883127.618022933.10848324−1.600797620.1171
Dahi Churkam 90.5694444428.79901552108.668354626.9353883−1.100043590.2864
Shannon
Chhurpi Dahi 3.6390411750.7365725352.6577649970.3782964262.493760723 0.0158
Chhurpi Churkam 3.6390411750.7365725352.8600867070.474356543.400743965 0.0022
Dahi Gheu 2.6577649970.3782964263.3399209960.823489314−1.516932080.1459
Chhurpi Gheu 3.6390411750.7365725353.3399209960.8234893141.0896879490.2738
Churkam Gheu 2.8600867070.474356543.3399209960.823489314−1.820469080.0789
Dahi Churkam 2.6577649970.3782964262.8600867070.47435654−0.739835680.4743
Figure 4

Difference in the bacterial alpha diversity indices of chhurpi and churkam (a) Chao1 species richness and (b) Shannon Diversity Index.

Figure 5

Boxplot showing the difference in the relative abundance of (a) Clostridiaceae and (b) Pseudomonadaceae between chhurpi and churkam.

Alpha diversity profiles of NFM products of India. Difference in the bacterial alpha diversity indices of chhurpi and churkam (a) Chao1 species richness and (b) Shannon Diversity Index. Boxplot showing the difference in the relative abundance of (a) Clostridiaceae and (b) Pseudomonadaceae between chhurpi and churkam.

Discussion

In this study, bacterial diversity was explored by barcoded Illumina MiSeq amplicon sequencing of the 16 S rRNA gene (V4-V5 region). The applied method using high throughput sequencing detected Lactococcus lactis, Lb. helveticus, Acetobacter lovaniensis, A. pasteurianus, A. syzygii, Gluconobacter oxydans and Leuconoctoc mesenteroides (above 1%) in all 4 samples of NFM products. Reads of OTUs in present study could not detect Lb. farciminis, Lb. biofermentans, Lb. hilgardi, Lb. paracasei subsp. pseudoplantarum, Lb. hilgardii, Lb. paracasei subsp. paracasei which were reported earlier in chhurpi and dahi based on limited phenotypic characterization[14,17]. However, Lb. helveticus (9.6%) was detected in the present culture-independent method which was not reported in culture dependent method earlier. Lb. helveticus is known to be present in dairy products[29]. A major composition of Lactococcus lactis (Streptococcaceae) and Lb. helveticus (Lactobacillaceae) was found to be the most predominant species along with Leuc. mesenteroides (Leuconostocaceae) in the NFM products of India, which still form what are commonly known as the primary cultures in milk fermentation[1]. Metagenomics-based studies of other milk products around the world like kefir, cheeses, have also reported to harbour species of Lactobacillus, Lactococcus and Leuconostoc[25,26,30,31] as the dominant bacteria in general. Apart from the common known lactic acid bacteria group, a relatively high abundance of Proteobacteria-associated Acetobacteraceae (acetic acid bacteria) was observed in gheu/mar products. Acetobacteraceae members have also been reported in milk-related products[19,25,32,33], and their dominance in gheu/mar (churned before heating) products than the subsequent downstream products (chhurpi and churkam) may be due to the effect of heating during the processing steps. Even though the Acetobacteraceae members were still present in chhurpi and churkam, the abundance was generally low. During the fermentation of chhurpi and churkam, we observed an increase in the abundance of Streptococcaceae (Lactococcus) and subsequently a build-up in the Lactobacillaceae (Lactobacillus) population in churkam. Based on OTUs system, the percentage of Enterobacteriaceae and genus Enterococcus was very low in NFM samples analyzed. Enterococcus faecalis, Ent. faecium along with Lactococcus lactis subsp. lactis were reported from dahi of Bhutan based on 16 S rRNA gene sequencing[6]. Nunu, African NFM product, is frequently contaminated with pathogenic Enterobacteriaceae, demonstrated by short-read-alignment-based bioinformatics tools which may be used for high-throughput food safety testing[34]. Staphylococcaceae, Bacillaceae, Clostridiaceae and Pseudomonadaceae were observed at relatively low level in this study probably as contaminants. Pseudomonadaceae (Pseudomonas fluorescens) is usually present in milk and milk products as sources of contaminants[35] and Clostridiaceae (Clostridium tyrobutyricum) is another bacterium found in cheese causing late blowing defect[36]. These contaminants were probably associated with the overall handling process, since samples are naturally fermented milk products, and there is no controlled process involved. Contamination of unwanted or rather non-fermenting bacteria are known to have acquired from various sources of production environment[37,38]. Presence of uncultured bacterium was shown in all samples analyzed. Uncultured bacterium group at species level were obtained using OTUs method, as the database could not assign them to any of their closest taxa. OTUs system put sequences into bins based on similarity of sequences within a data set to each other[39]. Moreover, limitations to using OTUs-based method is that the clustering algorithms are computationally intensive, relatively slow, and require significant amounts of memory[40]. However, the predominance of few species were observed in a particular product showing the remarkable diversity of microbiota among 4 analyzed samples of NFM products and subsequently a build-up in the Lactobacillaceae (Lactobacillus) population in churkam. Lactococcus lactis was predominant in chhurpi, dahi and churkam, whereas in gheu/mar samples, it was relatively less. Lb. helveticus was dominant in churkam comparable to other 3 NFM products. However, Leuc. mesenteroides was predominant in dahi samples. Though we observed a fairly equal distribution between Lactococcus and Acetobacter species in 4 NFM products, however, at species level Lactococcus was represented only by Lc. lactis whereas Acetobacter was represented by A. lovaniensis, A. pasteurianus, A. syzygii and Gluconobacter oxydans. Diversity in bacterial species among the 4 NFM products was observed based on alpha diversity analysis. However, significance difference was observed only in between chhurpi and dahi (p = 0.0152) and chhurpi and churkam (p = 0.0125), respectively.

Conclusion

Earlier reports on chhurpi and dahi of North East India was based on limited culture-dependent analysis with some species of lactic acid bacteria. However, in the present study the NGS data of chhurpi, churkam, dahi and gheu showed the abundance of Lactococcus lactis (Streptococcaceae), Lb. helveticus (Lactobacillaceae) with Leuc. mesenteroides (Leuconostocaceae) as one the main bacterial species which may be the reliable information on microbial profile of NFM products. The application of NGS culture-independent methods to study the microbial ecology of fermented foods is of great significance in understanding the products, where Illumina sequencing has been shown to be one of the reliable tools in this study. Further studies on selective culturing of dominant bacteria, development of probiotic starter cultures and standardisation of processing methods may lead to industrialisation of ethnic food products.

Materials and Methods

Sampling

Fifty-four samples of naturally fermented milk products (chhurpi, churkam dahi and gheu/mar) were collected from high altitude mountains (1650–2587 meter) in Arunachal Pradesh (n = 35) and hills and mountains (381–4878 meter) in Sikkim (n = 19) of India (Table 2). The products were aseptically collected from the traditional production centres, transported in an ice-box and stored in the laboratory at −20 °C.
Table 2

Sample details of the NFM products of India.

SampleSample CodeAnimalStateRegion/DistrictLocationAltitude (meter)pH
Chhurpi Ch1CcCowArunachal PradeshTawangCheghar17055.32 ± 0.01
Ch1ScTawangSamchin16505.32 ± 0.02
Ch1TcTawangTawang25875.33 ± 0.02
Ch2BcWest KamengDirang20955.35 ± 0.01
Ch2TcTawangTawang25875.32 ± 0.01
Ch6BcWest KamengBomdila23395.33 ± 0.01
SCCDSikkimWest SikkimDentam15006.05 ± 0.01
SCCLGSouth SikkimLingee13706.03 ± 0.02
SCCNTEast SikkimNimtar6195.89 ± 0.01
SCCPKEast SikkimPakyong11206.03 ± 0.01
SCCSEast SikkimSingtam3815.89 ± 0.01
SCCTHWest SikkimThingling17805.89 ± 0.01
SC1CYGSouth SikkimYangang13706.11 ± 0.02
Ch1ByYakArunachal PradeshWest KamengDirang20615.42 ± 0.02
Ch3TyTawangTawang25875.35 ± 0.01
Ch4TyTawangTawang25875.41 ± 0.01
Ch5ByWest KamengBomdila23405.42 ± 0.01
SC1YYSSikkimNorth SikkimYumesamdong48785.87 ± 0.03
SC2YYSNorth SikkimYumesamdong48785.88 ± 0.02
SC3YYSNorth SikkimYumesamdong48785.89 ± 0.01
SC4YYSNorth SikkimYumesamdong48785.90 ± 0.01
Churkam Ck1BcCowArunachal PradeshWest KamengBomdila23395.71 ± 0.01
Ck1KcTawangKudung16955.71 ± 0.01
Ck1ScTawangSamchin16505.72 ± 0.01
Ck1TcTawangTawang25875.71 ± 0.01
Ck2BcWest KamengBomdila23395.72 ± 0.01
Ck2KcTawangKudung16955.73 ± 0.01
Ck2ScTawangSamchin16505.72 ± 0.01
Ck3KcTawangKudung16955.72 ± 0.01
Ck3ScTawangSamchin16505.72 ± 0.01
Ck4BcWest KamengDirang20955.74 ± 0.01
Ck4ScTawangSamchin16505.71 ± 0.01
DCCLASikkimNorth SikkimLachung27006.34 ± 0.03
Ck1TyYakArunachal PradeshTawangTawang25875.82 ± 0.01
Ck5ByWest KamengBomdila23405.82 ± 0.01
Ck6ByWest KamengBomdila23405.87 ± 0.02
Gheu/MarGh1BcCowArunachal PradeshWest KamengDirang20886.53 ± 0.02
Gh3KcTawangKudung16956.52 ± 0.01
Gh3ScTawangSamchin16506.52 ± 0.01
Gh4CcTawangCheghar17056.55 ± 0.01
Gh5BcWest KamengDirang20956.53 ± 0.01
Gh5TcTawangTawang25876.55 ± 0.02
Gh7BcWest KamengBomdila23396.53 ± 0.01
Gh2ByYakWest KamengBomdila23396.62 ± 0.01
Gh2TyTawangTawang25876.62 ± 0.01
Gh4ByWest KamengDirang21026.56 ± 0.02
Gh6TyTawangTawang25876.61 ± 0.01
GH1YYSSikkimNorth SikkimYumesamdong48786.62 ± 0.01
GH2YYSNorth SikkimYumesamdong48786.63 ± 0.01
GH3YYSNorth SikkimYumesamdong48786.63 ± 0.01
Dahi DHCLACowSikkimNorth SikkimLachung27004.14 ± 0.02
DHCTEast SikkimTadong16494.23 ± 0.02
DHCTHWest SikkimThingling17804.12 ± 0.02
DHYYSYakNorth SikkimYumesamdong48784.33 ± 0.02
Sample details of the NFM products of India.

Metagenomic DNA extraction

Metagenomic DNA was extracted by two different methods based on the nature of the samples i.e., lipid-rich sample (gheu/mar) and casein-based samples (dahi, chhurpi and churkam). For the gheu/mar (lipid-rich) samples, extraction of DNA was performed as per method I as described in48 with some modifications. This method was chosen on the basis of the product being rich in its fatty content. The usage of a combination of petroleum ether:hexane (1:1) serves the purpose of dissolving the fat content resolving the product into two phases after rigorous vortexing. Briefly, 2 mL of the sample melted in low temperature was homogenized with 2 ml citrate buffer (2%). To this, 4 ml of petroleum ether: hexane (1:1) was added followed by vortexing and 10 min incubation at room temperature. 2 mL of the lower part of the homogenate was transferred to a sterile 2 ml screw-cap tube containing 0.5 g of zirconia/silica beads (0.1 mm) and 4 glass beads (2 mm). The tubes were centrifuged and the pellet resuspended in 150 µl proteinase-K buffer [50 mM Tris-Cl, 10 mM EDTA (pH 8), 0.5% (w/v) SDS]. After overnight incubation at 65 °C with 25 µl proteinase K (25 mg/ml), it was treated with 150 µl of 2X breaking buffer [4% Triton X-100 (v/v), 2% (w/v) SDS, 200 mM NaCl, 20 mM Tris (pH 8), 2 mM EDTA (pH 8)]. After addition of phenol (pH 8.0), the samples were treated in a bead beater three times (30 sec beating, 10 sec in ice) and further purified with chloroform: isoamyl alcohol mixture (24:1). Lastly, DNA was precipitated with ethanol and the pellet is dissolved in 50 µl of TE buffer (10 mM Tris, 1 mM EDTA). For the casein-based samples (dahi, chhurpi and churkam), metagenomic DNA was extracted using the method of Keisam et al.[41]. This method was shown to recover maximum DNA yield from fermented milks[41], hence it was also applied in this study. Briefly, 10 g or 10 ml of the samples were mixed with 90 mL 2% sodium citrate buffer and homogenized in a stomacher at 200 rpm for 2 min. Churkam (hard-cheese) samples were first grinded into powder before the homogenization. 1.5 mL of the homogenate was transferred to a sterile centrifuge tube and centrifuge for 10 min at 18000 × g. To the pellet, 400 µl TES buffer [50 mM Tris, 1 mM EDTA, 8.7% sucrose] 50 KU lysozyme, 25 U mutanolysin and 20 U lyticase were added and incubated at 37 °C for 1 h. After incubation, proteinase-K (25 mg/mL) was added to the mixture and further incubated at 65 °C for 1 h, followed by addition of GES reagent (5 M guanidine thiocyanate, 100 mM EDTA, and 0.5% sarkosyl). The sample was treated with 7.5 M ammonium acetate followed by purification with choloroform: isoamyl alcohol (24:1). Finally, DNA was precipitated with ethanol and the pellet dissolved in 50 µl of TE buffer (10 mM Tris, 1 mM EDTA). In all cases, absence of contaminating DNA in the laboratory prepared reagents was confirmed by extracting DNA from sterile water and observing negative PCR amplification with universal bacterial primers. The quality (A260/280) and quantity of the extracted DNA was checked using a spectrophotometer (NanoDrop ND-1000, USA). DNA was stored at −20 °C until required.

Barcoded Illumina MiSeq Sequencing

For in-depth bacterial community analysis, barcoded Illumina MiSeq amplicon sequencing targeting the V4-V5 region of the 16 S rRNA gene was conducted as described earlier49. The forward primer F563–577 (5′-AYTGGGYDTAAAGNG-3′) and barcoded reverse primers R924–907 (5′-CCGTCAATTCMTTTRAGT-3′) with an 8 bp barcode in its 5′-end was used for sample multiplexing[42]. Each PCR reaction was performed in a total volume of 25 µl with a template-free reaction that acts as a control. The following PCR conditions were used for amplification- initial denaturation (98 °C for 5 min); denaturation (98 °C for 15 sec), annealing (55 °C for 30 sec) and elongation (72 °C for 30 sec). The PCR reaction was run for 28 cycles with a final extension process of 72 °C for 5 min. The 430 bp sized products were separated in a 1.5% agarose gel (w/v) and the target bands were carefully excised from the gel with a sterile scalpel blade and then purified using QIAquick gel extraction kit (Qiagen, New Delhi, India) as per the manufacturer’s instructions. The purified DNA was quantified with Qubit dsDNA BR Assay Kit (Invitrogen) in a Qubit 2.0 fluorometer (Invitrogen, Carlsbad, CA) and the individual were samples pooled in equimolar proportions. The final DNA pool was sent to the NGS facility in Xcelris Genomics (Ahmedabad, India) for paired-end MiSeq sequencing (2 × 300 bp). The raw sequence reads obtained was analysed using the default settings in MG-RAST[43] and an open-source bioinformatics pipeline QIIME v1.8.0[44]. A total of 7,614,683 post-quality filtered sequences originating from 54 samples belonging to 4 food types of NFM samples were uploaded to MG-RAST server with the MG-RAST ID number 4732361 to 4732414. The reads were subjected to secondary quality filtering to remove non-rRNA sequences before clustering into operational taxonomic units (OTUs) and subsequent generation of OTU tables at four different taxonomic levels (phylum, family, genus and species) using the SILVA SSU database in MG-RAST. Eukaryota-specific and unassigned OTUs were removed before performing further analysis.

Statistical Analysis

Normalisation of the OTUs relative abundance data was performed by log transformation log10 (xi + 1). To understand the variation in the microbial community structure of different food types, PCA was plotted using Canoco software v4.52 (Wageningen University, The Netherlands). Significant difference in the bacterial community structure amongst the four food type was evaluated by ANOSIM with 10,000 permutations using Bray-Curtis similarity index in PAST v2.17. Any significant difference in the abundance of individual taxa at four different taxonomic levels between the four food types was tested by p-value calculation using Student’s twov-tailed paired t-test and ANOVA. p-value < 0.05 was considered statistically significant and the differences in taxon abundance were represented as boxplots using BoxPlotR[45,46]. Species level-OTUs table was rarefied at a depth of 50 to 6482 sequences using the multiple_rarefactions.py script in QIIME for generation of alpha diversities rarefaction curves. Rarefaction plots were generated for Chao1 richness, diversity indices (Fisher alpha, Shannon), Shannon’s equitability and Good’s coverage using the make_rarefaction_plots.py script[44]. Significant differences in the alpha indices amongst the food types were calculated using the script compare_alpha_diversity.py in QIIME.

Data availability

Sequence data associated with this present work have been uploaded to MG-RAST server with the MG-RAST ID number 4732361 to 4732414.
  34 in total

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2.  A survey of the bacterial composition of kurut from Tibet using a culture-independent approach.

Authors:  W J Liu; Z H Sun; Y B Zhang; C L Zhang; M Yang; T S Sun; Q H Bao; W Chen; H P Zhang
Journal:  J Dairy Sci       Date:  2012-03       Impact factor: 4.034

3.  High-throughput sequencing for detection of subpopulations of bacteria not previously associated with artisanal cheeses.

Authors:  Lisa Quigley; Orla O'Sullivan; Tom P Beresford; R Paul Ross; Gerald F Fitzgerald; Paul D Cotter
Journal:  Appl Environ Microbiol       Date:  2012-06-08       Impact factor: 4.792

4.  Monitoring bacterial communities in raw milk and cheese by culture-dependent and -independent 16S rRNA gene-based analyses.

Authors:  Céline Delbès; Leila Ali-Mandjee; Marie-Christine Montel
Journal:  Appl Environ Microbiol       Date:  2007-01-26       Impact factor: 4.792

5.  Functional characteristics of Lactobacillus spp. from traditional Maasai fermented milk products in Kenya.

Authors:  Julius Maina Mathara; Ulrich Schillinger; Claudia Guigas; Charles Franz; Phillip Museve Kutima; Samuel K Mbugua; H-K Shin; Wilhelm H Holzapfel
Journal:  Int J Food Microbiol       Date:  2008-05-06       Impact factor: 5.277

6.  Assessing and improving methods used in operational taxonomic unit-based approaches for 16S rRNA gene sequence analysis.

Authors:  Patrick D Schloss; Sarah L Westcott
Journal:  Appl Environ Microbiol       Date:  2011-03-18       Impact factor: 4.792

7.  Strain-Level Metagenomic Analysis of the Fermented Dairy Beverage Nunu Highlights Potential Food Safety Risks.

Authors:  Aaron M Walsh; Fiona Crispie; Kareem Daari; Orla O'Sullivan; Jennifer C Martin; Cornelius T Arthur; Marcus J Claesson; Karen P Scott; Paul D Cotter
Journal:  Appl Environ Microbiol       Date:  2017-08-01       Impact factor: 4.792

8.  Detection of Clostridium tyrobutyricum in milk to prevent late blowing in cheese by automated ribosomal intergenic spacer analysis.

Authors:  Simona Panelli; Eva Brambati; Cesare Bonacina; Maria Feligini
Journal:  J Food Sci       Date:  2013-10       Impact factor: 3.167

9.  Sequencing-based analysis of the bacterial and fungal composition of kefir grains and milks from multiple sources.

Authors:  Alan J Marsh; Orla O'Sullivan; Colin Hill; R Paul Ross; Paul D Cotter
Journal:  PLoS One       Date:  2013-07-19       Impact factor: 3.240

10.  Quantifying the biases in metagenome mining for realistic assessment of microbial ecology of naturally fermented foods.

Authors:  Santosh Keisam; Wahengbam Romi; Giasuddin Ahmed; Kumaraswamy Jeyaram
Journal:  Sci Rep       Date:  2016-09-27       Impact factor: 4.379

View more
  9 in total

1.  In vitro and genetic screening of probiotic properties of lactic acid bacteria isolated from naturally fermented cow-milk and yak-milk products of Sikkim, India.

Authors:  Ranjita Rai; Jyoti Prakash Tamang
Journal:  World J Microbiol Biotechnol       Date:  2022-01-06       Impact factor: 3.312

2.  Nutritional Composition and Microbial Communities of Two Non-alcoholic Traditional Fermented Beverages from Zambia: A Study of Mabisi and Munkoyo.

Authors:  Justin Chileshe; Joost van den Heuvel; Ray Handema; Bas J Zwaan; Elise F Talsma; Sijmen Schoustra
Journal:  Nutrients       Date:  2020-06-01       Impact factor: 5.717

3.  Diversity of lactic acid bacteria in dadih produced by either back-slopping or spontaneous fermentation from two different regions of West Sumatra, Indonesia.

Authors:  Chandra Utami Wirawati; Mirnawati Bachrum Sudarwanto; Denny Widaya Lukman; Ietje Wientarsih; Eko Agus Srihanto
Journal:  Vet World       Date:  2019-06-15

4.  Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals.

Authors:  Jo De Vrieze; Thijs De Mulder; Silvio Matassa; Jizhong Zhou; Largus T Angenent; Nico Boon; Willy Verstraete
Journal:  Microb Biotechnol       Date:  2020-04-20       Impact factor: 5.813

5.  Microbial Diversity and Metabolite Profiles of Palm Wine Produced From Three Different Palm Tree Species in Côte d'Ivoire.

Authors:  Theodore N Djeni; Karen H Kouame; Francine D M Ake; Laurent S T Amoikon; Marcellin K Dje; Kumaraswamy Jeyaram
Journal:  Sci Rep       Date:  2020-02-03       Impact factor: 4.379

6.  A snapshot study of the microbial community dynamics in naturally fermented cow's milk.

Authors:  Wei-Liang Xu; Chun-Dong Li; Yuan-Sheng Guo; Yi Zhang; Mei Ya; Liang Guo
Journal:  Food Sci Nutr       Date:  2021-02-16       Impact factor: 2.863

7.  Insights into the nutritional properties and microbiome diversity in sweet and sour yogurt manufactured in Bangladesh.

Authors:  S M Rafiqul Islam; Afsana Yeasmin Tanzina; Md Javed Foysal; M Nazmul Hoque; Meheadi Hasan Rumi; A M A M Zonaed Siddiki; Alfred Chin-Yen Tay; M Jakir Hossain; Muhammad Abu Bakar; Mohammad Mostafa; Adnan Mannan
Journal:  Sci Rep       Date:  2021-11-22       Impact factor: 4.379

8.  Naturally Fermented Milk From Northern Senegal: Bacterial Community Composition and Probiotic Enrichment With Lactobacillus rhamnosus.

Authors:  Megan Parker; Stephanie Zobrist; Chantal Donahue; Connor Edick; Kimberly Mansen; Mehdi Hassan Zade Nadjari; Margreet Heerikhuisen; Wilbert Sybesma; Douwe Molenaar; Abdoulaye Moussa Diallo; Peiman Milani; Remco Kort
Journal:  Front Microbiol       Date:  2018-09-21       Impact factor: 5.640

9.  Influence of Lactobacillus plantarum P-8 on Fermented Milk Flavor and Storage Stability.

Authors:  Tong Dan; Haiyan Chen; Ting Li; Jiale Tian; Weiyi Ren; Heping Zhang; Tiansong Sun
Journal:  Front Microbiol       Date:  2019-01-09       Impact factor: 5.640

  9 in total

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