Literature DB >> 27240745

An Improved Method for High Quality Metagenomics DNA Extraction from Human and Environmental Samples.

Satyabrata Bag1, Bipasa Saha1, Ojasvi Mehta1, D Anbumani1, Naveen Kumar1, Mayanka Dayal1, Archana Pant1, Pawan Kumar1, Shruti Saxena1, Kristine H Allin2, Torben Hansen2, Manimozhiyan Arumugam2, Henrik Vestergaard2, Oluf Pedersen2, Verima Pereira3, Philip Abraham3, Reva Tripathi4, Nitya Wadhwa5, Shinjini Bhatnagar5, Visvanathan Gnana Prakash6, Venkatesan Radha6, R M Anjana6, V Mohan6, Kiyoshi Takeda7, Takashi Kurakawa7, G Balakrish Nair1, Bhabatosh Das1.   

Abstract

To explore the natural microbial community of any ecosystems by high-resolution molecular approaches including next generation sequencing, it is extremely important to develop a sensitive and reproducible DNA extraction method that facilitate isolation of microbial DNA of sufficient purity and quantity from culturable and uncultured microbial species living in that environment. Proper lysis of heterogeneous community microbial cells without damaging their genomes is a major challenge. In this study, we have developed an improved method for extraction of community DNA from different environmental and human origin samples. We introduced a combination of physical, chemical and mechanical lysis methods for proper lysis of microbial inhabitants. The community microbial DNA was precipitated by using salt and organic solvent. Both the quality and quantity of isolated DNA was compared with the existing methodologies and the supremacy of our method was confirmed. Maximum recovery of genomic DNA in the absence of substantial amount of impurities made the method convenient for nucleic acid extraction. The nucleic acids obtained using this method are suitable for different downstream applications. This improved method has been named as the THSTI method to depict the Institute where the method was developed.

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Year:  2016        PMID: 27240745      PMCID: PMC4886217          DOI: 10.1038/srep26775

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


Efficient extraction of high-quality, high molecular weight (HMW) community genomic DNA from limited amount of human origin or environmental samples carrying diverse microbial species is the key challenge for cutting edge downstream applications like next generation DNA sequencing (NGS). The NGS technology is often used to explore the identity and abundance of culturable and uncultured microbial species in its natural community and to decode the microbial genomes to investigate its functional repertoires. For such different applications including shotgun metagenomics it is very important to extract HMW community genomic DNA. Different microbes present in diverse ecosystems have different types of cell wall and cell membranes, which enclose their cytoplasm and genomic contents (Fig. 1). Harsh sample treatment could affect DNA quality, while mild process may cause partial lysis particularly for the classes of bacteria carrying thick layers of peptidoglycan. Therefore, it is important to optimize the cell lysis methods to obtain genomic DNA from abundant as well as rare representatives of each taxonomic groups possessing different thickness of cell wall and different layer of cell membranes with different embedded components casing their genomic contents.
Figure 1

Diverse microbial species living in different ecosystems have different cell membranes and different types of cell wall encasing their cytoplasm.

Outermembrane cover and cell wall can be removed by treating the microbial community with specific enzymes that use polymer or transpeptide bridge of cell wall as their substrate.

Lyses of microbial cells expose their genomic DNA to different cellular and extracellular molecules including different type of nucleases. Despite its inert nature, double stranded DNA is physically fragile and highly susceptible to exo- and endonucleases, active forms of which are widely present in the matrix of most of the environmental and human samples analyzed in this study. Therefore, it is important to inactivate all the nucleases in lysis solution by incorporating strong denaturing agents or chemicals that chelate residual metallic ions from the suspension. Although, several commercial kits are now available to extract DNA from human and environmental samples, most of which uses silica-based column where DNA adsorb selectively to a stationary solid phase at high pH and high salt concentration. The major disadvantage for most of the commercial kits is insufficient recovery of genomic DNA from marginal amount of clinical or environmental samples. Furthermore, different DNA extraction kits have different biases, which can produce dramatically different results for the same sample1. Several laboratories working on metagenomics reported different methods of community DNA extraction depending on the type of samples they used for analysis2345678. Recently, International Human Microbiome Standards (IHMS) launched a guideline for standard operating procedures to optimize community DNA extraction methods from human fecal samples (http://www.microbiome-standards.org). So far, no attempt has been taken to develop a gold standard for community DNA extraction from both human and environmental origin samples. In this study, we developed a highly sensitive method, by combining physical, mechanical and chemical lysis approaches, to isolate community bacterial DNA from different human and environmental samples (Fig. 2). All the selected samples harbor culturable and uncultured bacteria belonging to closely or distantly related taxonomic groups and having different thickness of cell wall and different layer of cell membranes (Fig. 1). We compared both the quality and quantity of isolated community DNA with existing methodologies and observed that this approach worked best compared to currently available approaches. The isolated DNAs are suitable for all types of high-resolution downstream applications including shotgun metagenomics sequencing where HMW genomic DNA is preferable.
Figure 2

Different environmental and human samples used in this study to isolate community DNA from culturable and uncultured microbial residents.

Results and Discussion

Spheroplast formation and DNA isolation

Both, environmental and human samples contain large numbers of microbial cells belonging to different phyla and they are reasonably heterogeneous in terms of their genomic contents, morphology and architecture of their cell wall (Fig. 1). To obtain sufficient amount of quality community DNA from Gram-positive and Gram-negative bacterial cells, it is important to preprocess the samples before adding lysis reagents. In this study, we used three different enzymes lysozyme, lysostaphin and mutanolysin that target either 1,4-beta glycoside-linkages or transpeptide bond in Gram-positive and Gram-negative bacterial cell wall and help in spheroplast formation. Spheroplast is highly susceptible to lysis reagents and labile to mechanical and physical forces. For lysis, first we treated the spheroplast with Guanidinium thiocyanate (GITC) to disrupt the bacterial cell membrane and inactivate nucleases and other enzymes. Combining mechanical (bead beating) and thermal (heat) forces enabled final lysis. The recovery and quality of the isolated DNAs were confirmed by running the samples on agarose gel (Fig. 3). We used both environmental and human samples (Fig. 2), containing diverse range of bacterial species including Gram-positive and Gram-negative bacteria possessing different types of cell wall, to confirm the suitability of the same method in wide range of samples. We successfully isolated reasonably good amount of quality DNA from all the tested samples (Fig. 3 and Table 1). DNA yield was typically ~1–109 μg, depending on the initial sample size and the way the sample was stored (Table 1). Total yield of DNA irrespective of the sample types was always higher in THSTI method compare to Kit and ALHS methods (Table 1). Average size of the DNA fragments recovered by THSTI method was ~20 kb (Fig. 3).
Figure 3

Agarose gel electrophoresis of microbial genomic DNA isolated from environmental and human samples.

Genomic DNA was electrophoresed on a 0.8% agarose gel, stained with ethidium bromide and photographed in a gel imaging system. (A) Genomic DNA isolated by THSTI method. Lane 1: Lambda genomic DNA digested with restriction endonuclease HindIII; lane 2: Genomic DNA isolated from Sewage water (SW), lane 3: Genomic DNA isolated from soil sample, lane 4: Genomic DNA isolated from stool, lane 5: Genomic DNA isolated from vaginal swab (VS), lane 6: Genomic DNA isolated from gastric tissue biopsy (GTB) sample. (B) Genomic DNA isolated from equal amount of samples using commercial kits or automated liquid handling system. Lane 1: Lambda genomic DNA digested with restriction endonuclease HindIII; Lane 2–3: Genomic DNA isolated from stool samples using commercial kit. Lane 4–5: Genomic DNA isolated from GTB samples using commercial kit. Lane 6–7: Genomic DNA isolated from stool DNA samples using automated liquid handling system. Lane 8–9: Genomic DNA isolated from VS samples using automated liquid handling system.

Table 1

Average concentration and total recovery of nucleic acids isolated from different environmental and human origin samples.

SampleMethodNucleic acid concn. (ng/μl)Total recovery (ng)260/280
StoolTHSTI543.3 ± 187.26 (DNA)108660 ± 37520 (DNA)1.85 ± 0.06
StoolKit202.29 ± 105.63 (DNA)20229.23 ± 10563 (DNA)1.94 ± 0.23
StoolALHS113.38 ± 62.26 (DNA + RNA)11338.46 ± 6226 (DNA + RNA)1.67 ± 0.07
Vaginal SwabTHSTI104.77 ± 39.61 (DNA)20955.38 ± 7923.13 (DNA)1.69 ± 0.12
Vaginal SwabKit8.37 ± 5.66 (DNA)836.15 ± 566.7 (DNA)1.43 ± 0.58
Vaginal SwabALHS22.79 ± 9.5 (DNA + RNA)2279.23 ± 906.02 (DNA + RNA)2.47 ± 1.01
SoilTHSTI53.16 ± 36.77 (DNA)10633.84 ± 10317.18 (DNA)1.48 ± 0.041
SoilKit66.02 ± 70.13 (DNA)6602.30 ± 7014 (DNA)1.16 ± 0.05
SoilALHS93.91 ± 103.17 (DNA + RNA)9391.53 ± 7355.84 (DNA + RNA)1.44 ± 0.07
Sewage waterTHSTI79.24 ± 80.71 (DNA)15849.23 ± 12190 (DNA)1.71 ± 0.041
Sewage waterKit14.47 ± 5.72 (DNA)1447.69 ± 572 (DNA)1.68 ± 0.05
Sewage waterALHS98.74 ± 60.95 (DNA + RNA)9874.61 ± 8071 (DNA + RNA)2.14 ± 0.07
Gastric Tissue BiopsyTHSTI53.9 (DNA)10780 (DNA)1.85
Gastric Tissue BiopsyKit126.5 (DNA+RNA)12650 (DNA+RNA)1.4

In this study, 13 random samples from each category, except gastric tissue biopsy (n = 3), were used for comparative study. It is important to note that during nucleic acid extraction by the THSTI and Kit methods RNase treatment was included, while in the automated liquid handling system (ALHS) RNase treatment step is missing. Soil samples were heterogenous and maximum differences in DNA yield from similar amount of different samples were observed in each methods.

Assessment of the quality of isolated DNA

Both the quality and quantity of isolated DNA were assessed by measuring the absorbance at 260 and 280 nm wavelengths (Table 1) and by visualizing extracted community DNA on agarose gel (Fig. 3). Most of the isolated DNA samples had OD260/OD280 ratio in between ~1.6 and ~1.9 except the genomic DNA isolated from soil sample (Table 1). We further confirmed the quality of isolated DNA by visualizing all the samples on 0.8% agarose gel containing DNA-intercalating agent ethidium bromide. Although, the gel electrophoresis is not very sensitive to measure the quantity of DNA but this is useful to analyze the stable RNA contamination, short fragment DNA contamination, and also shown the average size of isolated DNA. It is important to note that in THSTI and kit methods nucleic acids were treated with RNase to remove stable RNA while in automated liquid handling system the RNAse treatment step was absent. Thus, in terms of quality of DNA, the present method is free of from other nucleic acid impurities.

Comparison of current method with available DNA isolation kits and automated nucleic acid extraction system

Several methods have been described for community microbial DNA extraction from human and environmental origin samples78910111213. We compared the quality and quantity of DNA obtained from equal amount of same samples for all, except gastric tissue biopsy, using DNA isolation kit (Qiagen, Germany), and automated nucleic acid extraction system (MagNA pure, Roche Diagnostics, Swizerland). We observed that, when the tested samples, like stool specimen, contained large numbers of bacterial species, both automated nucleic acid extraction system and kit method could recover adequate amount of quality DNA for downstream applications. However, both the methods are not efficient to recover sufficient amount of DNA from low amount of microbial cells including vaginal swabs, where bacterial number was limited (Fig. 3 and Table 1). In contrast, the method developed in this study efficiently recoverd sufficient amount of genomic DNA even in samples with limited amount of bacterial cells (Fig. 3 and Table 2).
Table 2

Minimum number of bacterial cells needed to isolate detectable amount of nucleic acids by using genomic DNA isolation kit or THSTI methods.

CFU109108107106105104
Kit6.27 μg0.28 μg0.03 μgNDNDND
THSTI10.3 μg1.25 μg0.1 μg0.03 μgNDND

Suitability of isolated DNA in different downstream applications

To assure the quality of isolated nucleic acid, the samples were used for different downstream applications including PCR amplification (Fig. 4), restriction digestion (Fig. 5), cloning and sequencing of PCR products (Fig. 6). The PCR amplification of complete and partial 16S rRNA gene of bacterial DNA was done by using set of primer tagging with or without NGS specific adaptor and barcode sequences. The adaptor was selected based on the recommendation of 454 GS FLX+ pyrosequencing platform (Table 3). We used different NGS primers specific for C1, C3 and C5 and C9 regions of 16S rRNA gene (Fig. 4 and Table 3). Sufficient amount of desired amplicon from each set of amplification reaction confirmed the suitability of isolated DNA for NGS application (Fig. 4). The complete 16S rRNA genes were amplified from the sewage water, soil, stool, GTB and vaginal swabs genomic DNA and subset of them were used for cloning and sequencing reactions. Among thousands of clones obtained during cloning of 16S rRNA gene, few of them were randomly picked up for plasmid isolation. Eight representative recombinant clones of 16S rRNA gene amplified from sewage water DNA are shown (Fig. 6). Insert of subset of plasmids were sequenced in a capillary sequencer using universal M13F and/or M13R primers. Identity of 16S rRNA genes amplified from DNA sample of sewage water, soil, stool, GTB and vaginal swabs were examined by using NCBI BLASTN program (https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE_TYPE=BlastSearch) database. Although the sample size was small (n = 36), still we have identified multiple Gram-positive and Gram-negative bacterial species in different samples belonging to different bacterial classes (Table 4). Restriction digestions of subset of DNA samples were done using type II restriction endonuclease EcoRI (Fig. 5). Complete digestion of genomic DNA indicates absence of inhibitory compounds, possibly, in the isolated DNA samples.
Figure 4

PCR amplification of 16S rRNA gene from community DNA isolated from environmental and human origin samples.

(A) Organization of conserved and variable regions of 16S rRNA gene. Small arrows indicate different primers used in this study to amplify partial or complete 16S rRNA gene. C denotes conserved while V indicates variable. (B) PCR amplification of complete or partial 16S rRNA gene using primers tagged with or without different barcode and adaptor sequences for 454 GS FLX+ pyrosequencer. Genomic DNA isolated both from environmental (SW, Soil) or human samples (Stool, VS, GTB) were used as template. Lane 1: 1-kb DNA ladder; Lane 2–6: complete 16S rRNA gene amplicons from SW, Soil, Stool, VS, GTB, respectively; Lane 7–11: V1-V5 region amplicons of 16S rRNA gene of SW, Soil, Stool, VS, GTB, respectively; Lane 12–16: V1-V3 region amplicons of 16S rRNA gene of SW, Soil, Stool, VS, GTB, respectively.

Figure 5

Restriction endonuclease (EcoRI) digestion of genomic DNA isolated from environmental and human origin samples using kit, ALHS and THSTI methods.

Lane 1, Lambda genomic DNA digested with restriction endonuclease HindIII; Lane 2, undigested genomic DNA isolated from stool sample; Lane 3–5, EcoRI digested stool genomic DNA sample isolated by kit, ALHS and THSTI methods, respectively; Lane 6–8: EcoRI digested HVS sample isolated by kit, ALHS and THSTI methods, respectively; Lane 9–11: EcoRI digested genomic DNA of soil sample isolated by kit, ALHS and THSTI methods, respectively; Lane 12–14: EcoRI digested genomic DNA of sewage water sample isolated by kit, ALHS and THSTI methods, respectively.

Figure 6

PCR amplification and cloning of complete 16S rRNA gene of sewage water samples.

Lane 1: 1-kb DNA ladder. Lane 2: 16S rRNA gene PCR amplicon. Lane 3: Cloning vector pCR2.1. Lane 4–11: Cloning vector containing complete 16S rRNA gene isolated from eight randomly selected clones.

Table 3

Primers used in this study to amplify partial or complete 16S rRNA gene.

NameSequence (5′-3′)
130GGCGGATCCAAGGAGGTGTTCCAGCCGC
139GGCCTCGAGAGAGTTTGATCCTGGCTCAGG
27FCCTATCCCCTGTGTGCCTTGGCAGTCTCAGAGAGTTTGATCCTGGCTCAG
534RCCATCTCATCCCTGCGTGTCTCCGACTCAGCACGCATTACCGCGGCTGCTGG
926RCCATCTCATCCCTGCGTGTCTCCGACTCAGCACGCCCGTCAATTCMTTTRAGT

Letter code: Bold font, Restriction enzyme binding sequence; Regular font, 16S rRNA gene specific sequence; Regular ubderline font, adaptor sequence for 454 GS FLX+ pyrosequencer; Italic font, Key sequence for454 GS FLX+ pyrosequencer; Bold underline font, barcode (MID) sequence.

Table 4

Dominant bacterial species identified in the sewage water (SW) samples, soil samples (SS), stool samples (GM), vaginal swabs (HVS) and gastric tissue biopsy samples (GTB).

CloneBacterial speciesSystemic positionGenBank accession no.
GM01-PcPrevotella copriClass-Bacteroidetes, Phylum- BacteroidetesKX057366
GM02-PcPrevotella copriClass-Bacteroidetes, Phylum- BacteroidetesKX057367
GM03-PcPrevotella copriClass-Bacteroidetes, Phylum- BacteroidetesKX057368
GM04-PbPrevotellaceae bacteriumClass-Bacteroidetes, Phylum- BacteroidetesKX057369
GM05-PcPrevotella copriClass-Bacteroidetes, Phylum- BacteroidetesKX057370
GM06-PcPrevotella copriClass-Bacteroidetes, Phylum- BacteroidetesKX057371
GM07-PcPrevotella copriClass-Bacteroidetes, Phylum- BacteroidetesKX057372
HVS01-LCrLactobacillus crispatusClass-Bacilli, Phylum-FirmicutesKX057346
HVS02-LCrLactobacillus crispatusClass-Bacilli, Phylum-FirmicutesKX057347
HVS03-LCrLactobacillus crispatusClass-Bacilli, Phylum-FirmicutesKX057348
HVS04-LCrLactobacillus crispatusClass-Bacilli, Phylum-FirmicutesKX057349
HVS05-LCrLactobacillus crispatusClass-Bacilli, Phylum-FirmicutesKX057350
HVS06-LCrLactobacillus crispatusClass-Bacilli, Phylum-FirmicutesKX057350
HVS07-LjnLactobacillus jenseniiClass-Bacilli, Phylum-FirmicutesKX057352
HVS08-LcoLactobacillus coleohominisClass-Bacilli, Phylum-FirmicutesKX057353
HVS09-LcoLactobacillus coleohominisClass-Bacilli, Phylum-FirmicutesKX057354
HVS10-LcoLactobacillus coleohominisClass-Bacilli, Phylum-FirmicutesKX057355
HVS11-LcoLactobacillus coleohominisClass-Bacilli, Phylum-FirmicutesKX057356
HVS12-LcoLactobacillus coleohominisClass-Bacilli, Phylum-FirmicutesKX057357
GTB01-GhGemella haemolysansClass-Bacilli, Phylum-FirmicutesKX057343
GTB02-HpHelicobacter pyloriClass-Epsilonproteobacteria, Phylum-ProteobacteriaKX057344
GTB03-HpHelicobacter pyloriClass-Epsilonproteobacteria, Phylum-ProteobacteriaKX057345
SW01-BPUnculture betaproteobacteriumClass-Betaproteobacteria, Phylum-ProteobacteriaKX057358
SW02-RBRhodobacterales bacteriumClass-Alphaproteobacteria, Phylum-ProteobacteriaKX057359
SW03-AcActinobacterium sp.Class-Actinobacteria, Phylum- ActinobacteriaKX057360
SW04-ArArcobacter sp.Class-Epsilonproteobacteria, Phylum-ProteobacteriaKX057361
SW05-MbMacromonas bipunctataClass-Betaproteobacteria, Phylum-ProteobacteriaKX057362
SW06-AbAlcaligenaceae bacteriumClass-Betaproteobacteria, Phylum-ProteobacteriaKX057363
SW07-BsBordetella sp.Class-Betaproteobacteria, Phylum-ProteobacteriaKX057364
SW08-PaPseudomonas aeruginosaClass-gammaproteobacteria, Phylum-ProteobacteriaKX057365
SS01-BiBacillus infantisClass-Bacilli Phylum-FirmicutesKX129724
SS02-RsRhizobium sp.Class-Alphaproteobacteria Phylum-ProteobacteriaKX129725
SS03-BsBacillus sp.Class-Bacilli Phylum-FirmicutesKX129726
SS04-PtPsychroflexus sp.Class-Flavobacteriia Phylum-BacteroidetesKX129727
SS05-FcFlavobacterium sp.Class-Flavobacteriia Phylum-BacteroidetesKX129728
SS06-ZpGramella sp.Class-Flavobacteriia Phylum-BacteroidetesKX129729

Conclusion

The method reported in this study is very efficient and economic to isolate community bacterial DNA from minimal amount of human and environmental samples. The quality and quantity of extracted DNA are suitable for various downstream applications including restriction enzyme digestion, PCR amplification using sequencing adaptor and barcode tagged primers used for NGS reactions. Compared to testified two methods, kit and automated nucleic acid extraction system, the recovery of community DNA in THSTI method is substantially higher. A limitation of the present method is the duration for extraction of DNA from the sample. This can be afforded, considering the quality, quantity and suitability of the isolated DNA for subsequent downstream applications.

Methods and Materials

Samples

Sewage water and soil, two environmental samples used for this study, were collected from the National Capital Region, India. Stool samples were obtained from healthy adult volunteers. Gastric biopsy samples were obtained from Hinduja Hospital and Medical Research Centre, Mumbai, India. Vaginal swab samples were obtained from Department of Obstetrics and Gynecology, Maulana Azad Medical College, New Delhi, India and Pediatric Biology Center, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, India. The human origin samples were collected after receiving approval from THSTI ethics committee and informed consent from the study subjects. Recombinant DNA works were carried out in “accordance” with the approved guidelines of THSTI biosafety committee. All other experimental protocols used in this study were carried out in “accordance” with the relevant guidelines and standard operating procedure (SOP) of Centre for human microbial ecology (CHME).

Enzymes

Lysozyme (10 mg/ml), mutanolysin (25 KU/ml) and lysostaphin (4 KU/ml) were used for removal of cell wall from Gram-positive and Gram-negative bacterial cells. All three enzymes were purchased from Sigma-Aldrich, USA. Both mRNA and stable RNA species were removed from the pool of nucleic acids by treating the samples with RNase (10 mg/ml).

Buffers

Tris-HCl (IM, pH 8.0 and pH 7.5) and Phosphate buffer (0.1 M, pH 8.0) were used to re-suspend the nucleic acids.

Other reagents

Following reagents were used at different stages of sample processing and DNA isolation: EDTA (0.5 M, pH 8.0), NaCl (5 M), PVPP (Mol wt 40,000), Guanidine thiocyanate (4 M), Sodium-acetate (3 M, pH 5.2), Potassium acetate (5 M, pH 5.2), N-Laurylsarcosine (10%), Glass beads (2.5 mm), Zirconia beads (0.1 mm), Ethanol (96%), Hydrochloric acid (HCl), Sterile deionized water (H2O). All the chemicals used in this study were purchased from Sigma-Aldrich, USA.

Glass Beads processing

The glass beads are very useful to detach microbes from the matrix of collected samples. 2.5 mm glass beads are suitable for bacterial cells. First, the glass beads (Biospec USA) were kept in 1.0% Triton-X solution for 30 minutes at room temperature and then washed 6–7 times with water. The washed beads were kept in an incubator over night at 55 °C. Beads were autoclaved before use.

Preparation of 0.1 mm Zirconia beads

First, the 0.1 mm Zirconia beads (Biospec USA) were washed with 1% Triton-X solution. All the detergent was removed by vigorous shaking and washing the beads 7–8 times in milliQ water until it does not foam anymore. The beads were resuspended in milliQ water and sterilized by autoclaving at 121 °C for 15 min.

Pre-processing and cell lysis

First, fresh or freeze stored environmental (1 gm soil, 35 ml SW) or human samples (200 mg stool, 1 HVS, 1–5 mg GTB) carrying sufficient numbers of bacterial cells were transferred into a pre-chilled 2 ml microcentrifuge tube (MCT) and resuspended in 200 μl 50 mM Tris-1 mM EDTA buffer (pH 8.0). Since, all the samples contain both microbial cells and extracellular matrix like, mucin or undigested food particles, it is important to detach the microbes for adequate access of buffering agents and enzymes, used for spheroplast formation. With this aim, we added 4 glass beads (2.5 mm) and vortexed continuously for 1 min or until the sample was thoroughly homogenized. Then the glass beads were removed from the suspension by transferring supernatant into a fresh tube and enzyme cocktail containing 50 μl lysozyme (10 mg/ml); 6 μl mutanolysin (25 KU/ml), and 3 μl lysostaphin (4 KU/ml) was added. The cell suspension was incubated for 1 hour at 37 °C to remove cell wall from bacterial cells. Lysis of microbial cells was done by combining chemical, physical and mechanical approaches. First, 250 μl Guanidine thiocyanate (4 M) was added and mixed gently for 45 seconds. Then, 300 μl 10% N-Lauryl sarcosine was added and incubated for 10 minutes at 37 °C in a vortex mixer (Thermomixer, Eppendorf, Germany) with mild shaking (300 rpm). After short incubation, the tubes were transferred into a pre-warmed water bath and incubated at 70 °C for 1 hour. Mechanical lysis was done in a bead beater using 0.1 mm zirconia beads (BioSpec, USA). Around 300 mg of zirconia beads was added to the suspension and cell lysis was done by mechanical disruption using SpeedMill PLUS bead beater (Analytical Jena, Germany). Beating was done in two cycles (30 seconds each). Total program time for bacteria was 2 minutes. After completion of bead beating, 15 mg Polyvinylpolypyrrolidone (PVPP) was added to the suspension and mixed well by gentle vortexing of the sample. To remove the added beads, PVPP and all other cell debris, the suspension was spun down at 14000 rcf for 5 minutes in a microcentrifuge (5427R, Eppendorf, Germany).

Organic extraction and precipitation of nucleic acids

The supernatant was transferred into a fresh MCT. The pellet was washed with 500 μl Tris (50 mM)-EDTA(20 mM)-NaCl(100 mM)-PVPP(1%) and the supernatants were pooled. The genomic DNA was precipitated from the supernatant by adding two volumes of 96% ethanol. The organic solvent was mixed gently for one minute and kept five minutes at room temperature and the nucleic acids were recovered by centrifugation at maximum speed, 14000 rcf, for 10 minutes at 4 °C in a microcentrifuge. The supernatant was removed by mild aspiration and keeping the tube in an inverted position on adsorbent paper to let the fluid drain away. The pelleted nucleic acids were dried for 10–15 minutes at room temperature.

Removal of RNA and purification of genomic DNA

To remove all the RNA species that are present in the nucleic acid preparation, the pellet was dissolved in 450 μl phosphate buffer supplemented with 50 μl 3 M-potassium acetate. The pellet was dissolved by pipetting and incubated on ice for 90 minutes. The tube was removed from ice and 2 μl RNase (10 mg/ml) was added and placed in a heating block (37 °C) for 30 minutes. The suspension was supplemented with 50 μl sodium-acetate (3 M) and 1 ml of ice-cold 96% ethanol. The DNA was precipitated by centrifugation at 14000 rcf for 10 minutes at 4 °C. To remove the excess salts, the pellet was washed with 70% ice-cold ethanol. The pellet was dried at room temperature and re-suspended in 200 μl Tris (10 mM)-EDTA (1 mM) buffer (pH 8.0) and dissolved DNA was stored at 4 °C.

PCR amplification and cloning of community 16S rRNA gene

PCR amplification of 16S rRNA gene for targeted metagenomics study was done using adaptor and barcode labeled conserved region specific primers and DNA free Q5® High-fidelity DNA polymerase (NEB, USA). Amplification was done in 50 μl reaction volume with 1–10 ng of template DNA and following the reaction conditions: 98 °C-2 minute (1 cycle), 98 °C-20 seconds, 50 °C-30 seconds, 72 °C-45 seconds (30 cycle), 72 °C-7 minute (1 cycle). The PCR products were electrophoresed on a 1% agarose gel, stained with ethidium bromide and photographed using a gel imaging system (Alphaimager, USA). PCR amplified 16S rRNA gene products from sewage water, soil, stool, GTB and vaginal swab samples were purified and cloned into pCR2.1 cloning vector and subsets of samples were sequenced in a capillary sequencer using vector specific M13F and/or M13R primers.

Highlights

Sensitive method to isolate community bacterial DNA from different human origin and environmental samples. Efficient recovery and high purity of isolated DNA made this method attractive for high-resolution molecular applications. Would be gold standard for wide range of studies including environmental and clinical samples. Very economic compared to kits and automated DNA extraction methods.

Box 1

Lysozyme, well known antimicrobial peptide, is a lytic enzyme that disrupts bacterial cell walls by catalyzing hydrolysis of 1,4-beta glycoside-linkages between N-acetylmuramic acid and N-acetyl-D-glucosamine residues present in the peptidoglycan layer. Lysostaphin, a 27 KDa glycylglycine endopeptidase, used as antimicrobial agent against Gram-positive bacteria14. The endopeptidase works on the transpeptide bond of bacterial cell wall and removes the crosslinking peptide bridges. Mutanolysin is a an N-acetylmuramidase that catalyzes the cleavage of β-N-acetylmuramyl-(1 → 4)-N-acetylglucosamine linkage of the Gram-positive bacterial cell wall15. Its N-terminal end carries enzymatic domain where the C-terminal moieties are involved in substrate recognition and binding to the unique cell wall polymers. The enzyme is preferably used in the formation of spheroplasts and isolation of DNA from bacterial culture.

Guanidinium thiocyanate

(GITC) is a chaotropic agent, used as strong denaturant to isolate nucleic acids from viral particles and bacterial cells16. GITC is used to lyse cells and inactivate RNase and DNase, the enzymes that is present in all bacterial cells and degrade RNA and DNA, respectively. Sodium lauroyl sarcosinate, an amphiphilic amino acid anionic surfactant comprising hydrophobic 12-carbon aliphatic chain and the hydrophilic carboxylate, most often used in nucleic acid isolation from bacterial cells17. It helps in lysis of host cells and removing protein and broken cell walls from the suspension.

Polyvinylpolypyrrolidone

(PVPP) is an insoluble, cross-linked form of polyvinylpyrrolidone. PVPP helps to remove the host secondary metabolites and other phenolic impurities from aqueous solution.

Isopropanol and Ethanol

Since, isopropanol is less volatile than ethanol and it co-precipitates simple sugars and salts with nucleic acids, precipitation of DNA with ice cold, 96% ethanol is preferable. DNA is a highly polar molecule, because of its negatively charged phosphate residues in the nucleotide backbone. The repulsive forces that arise because of the exposed phosphate group between the polynucleotide chains need to be neutralized for effective precipitation of DNA. In the presence of 70% ethanol and 300 mM Na+ ions, the negative charges of the polynucleotide chains are reduced to the point where the DNA precipitates. It is important to note that ethanol precipitation of DNA can only be done if the cations are available in sufficient amount.

Additional Information

How to cite this article: Bag, S. et al. An Improved Method for High Quality Metagenomics DNA Extraction from Human and Environmental Samples. Sci. Rep. 6, 26775; doi: 10.1038/srep26775 (2016).
  17 in total

1.  Gut microbiota composition correlates with diet and health in the elderly.

Authors:  Marcus J Claesson; Ian B Jeffery; Susana Conde; Susan E Power; Eibhlís M O'Connor; Siobhán Cusack; Hugh M B Harris; Mairead Coakley; Bhuvaneswari Lakshminarayanan; Orla O'Sullivan; Gerald F Fitzgerald; Jennifer Deane; Michael O'Connor; Norma Harnedy; Kieran O'Connor; Denis O'Mahony; Douwe van Sinderen; Martina Wallace; Lorraine Brennan; Catherine Stanton; Julian R Marchesi; Anthony P Fitzgerald; Fergus Shanahan; Colin Hill; R Paul Ross; Paul W O'Toole
Journal:  Nature       Date:  2012-08-09       Impact factor: 49.962

2.  The placenta harbors a unique microbiome.

Authors:  Kjersti Aagaard; Jun Ma; Kathleen M Antony; Radhika Ganu; Joseph Petrosino; James Versalovic
Journal:  Sci Transl Med       Date:  2014-05-21       Impact factor: 17.956

3.  Mutanolysin, bacteriolytic agent for cariogenic Streptococci: partial purification and properties.

Authors:  K Yokogawa; S Kawata; S Nishimura; Y Ikeda; Y Yoshimura
Journal:  Antimicrob Agents Chemother       Date:  1974-08       Impact factor: 5.191

4.  Solubilization of the cytoplasmic membrane of Escherichia coli by the ionic detergent sodium-lauryl sarcosinate.

Authors:  C Filip; G Fletcher; J L Wulff; C F Earhart
Journal:  J Bacteriol       Date:  1973-09       Impact factor: 3.490

5.  Structure, function and diversity of the healthy human microbiome.

Authors: 
Journal:  Nature       Date:  2012-06-13       Impact factor: 49.962

6.  Human gut microbiome viewed across age and geography.

Authors:  Tanya Yatsunenko; Federico E Rey; Mark J Manary; Indi Trehan; Maria Gloria Dominguez-Bello; Monica Contreras; Magda Magris; Glida Hidalgo; Robert N Baldassano; Andrey P Anokhin; Andrew C Heath; Barbara Warner; Jens Reeder; Justin Kuczynski; J Gregory Caporaso; Catherine A Lozupone; Christian Lauber; Jose Carlos Clemente; Dan Knights; Rob Knight; Jeffrey I Gordon
Journal:  Nature       Date:  2012-05-09       Impact factor: 49.962

7.  The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies.

Authors:  J Paul Brooks; David J Edwards; Michael D Harwich; Maria C Rivera; Jennifer M Fettweis; Myrna G Serrano; Robert A Reris; Nihar U Sheth; Bernice Huang; Philippe Girerd; Jerome F Strauss; Kimberly K Jefferson; Gregory A Buck
Journal:  BMC Microbiol       Date:  2015-03-21       Impact factor: 3.605

8.  Gut microbiomes of Indian children of varying nutritional status.

Authors:  Tarini Shankar Ghosh; Sourav Sen Gupta; Tanudeep Bhattacharya; Deepak Yadav; Anamitra Barik; Abhijit Chowdhury; Bhabatosh Das; Sharmila S Mande; G Balakrish Nair
Journal:  PLoS One       Date:  2014-04-24       Impact factor: 3.240

9.  Metagenomics reveals sediment microbial community response to Deepwater Horizon oil spill.

Authors:  Olivia U Mason; Nicole M Scott; Antonio Gonzalez; Adam Robbins-Pianka; Jacob Bælum; Jeffrey Kimbrel; Nicholas J Bouskill; Emmanuel Prestat; Sharon Borglin; Dominique C Joyner; Julian L Fortney; Diogo Jurelevicius; William T Stringfellow; Lisa Alvarez-Cohen; Terry C Hazen; Rob Knight; Jack A Gilbert; Janet K Jansson
Journal:  ISME J       Date:  2014-01-23       Impact factor: 10.302

10.  Gut microbiomes of Malawian twin pairs discordant for kwashiorkor.

Authors:  Michelle I Smith; Tanya Yatsunenko; Mark J Manary; Indi Trehan; Rajhab Mkakosya; Jiye Cheng; Andrew L Kau; Stephen S Rich; Patrick Concannon; Josyf C Mychaleckyj; Jie Liu; Eric Houpt; Jia V Li; Elaine Holmes; Jeremy Nicholson; Dan Knights; Luke K Ursell; Rob Knight; Jeffrey I Gordon
Journal:  Science       Date:  2013-01-30       Impact factor: 47.728

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  52 in total

1.  Comparison of DNA Extraction Methods for Optimal Recovery of Metagenomic DNA from Human and Environmental Samples.

Authors:  Mohita Gaur; Aarushi Vasudeva; Anoop Singh; Vishal Sharma; Himani Khurana; Ram Krishan Negi; Jung-Kul Lee; Vipin Chandra Kalia; Richa Misra; Yogendra Singh
Journal:  Indian J Microbiol       Date:  2019-10-22       Impact factor: 2.461

2.  Rapid and efficient method to extract metagenomic DNA from estuarine sediments.

Authors:  Kashif Shamim; Jaya Sharma; Santosh Kumar Dubey
Journal:  3 Biotech       Date:  2017-06-29       Impact factor: 2.406

3.  Molecular Insights into Antimicrobial Resistance Traits of Commensal Human Gut Microbiota.

Authors:  Satyabrata Bag; Tarini Shankar Ghosh; Sayantan Banerjee; Ojasvi Mehta; Jyoti Verma; Mayanka Dayal; Anbumani Desigamani; Pawan Kumar; Bipasa Saha; Saurabh Kedia; Vineet Ahuja; Thandavarayan Ramamurthy; Bhabatosh Das
Journal:  Microb Ecol       Date:  2018-07-16       Impact factor: 4.552

Review 4.  Progress of analytical tools and techniques for human gut microbiome research.

Authors:  Eun-Ji Song; Eun-Sook Lee; Young-Do Nam
Journal:  J Microbiol       Date:  2018-09-28       Impact factor: 3.422

5.  Changes in the lung bacteriome in relation to antipseudomonal therapy in children with cystic fibrosis.

Authors:  Lenka Kramná; Pavel Dřevínek; Jake Lin; Michal Kulich; Ondrej Cinek
Journal:  Folia Microbiol (Praha)       Date:  2017-11-10       Impact factor: 2.099

6.  In silico determination of nitrogen metabolism in microbes from extreme conditions using metagenomics.

Authors:  Lulit Tilahun; Asfawossen Asrat; Gary M Wessel; Addis Simachew
Journal:  Arch Microbiol       Date:  2021-03-07       Impact factor: 2.552

7.  Diversity and Cyclical Seasonal Transitions in the Bacterial Community in a Large and Deep Perialpine Lake.

Authors:  Nico Salmaso; Davide Albanese; Camilla Capelli; Adriano Boscaini; Massimo Pindo; Claudio Donati
Journal:  Microb Ecol       Date:  2017-12-01       Impact factor: 4.552

8.  Cost Effective Method for gDNA Isolation from the Cecal Content and High Yield Procedure for RNA Isolation from the Colonic Tissue of Mice.

Authors:  Sohini Mukhopadhyay; Palok Aich
Journal:  Bio Protoc       Date:  2022-08-05

Review 9.  Insights into the gastrointestinal tract microbiomes of Indian population.

Authors:  Tarosi Senapati; Akansha Kothidar; Sanjay K Banerjee; Bhabatosh DAS
Journal:  J Biosci       Date:  2019-10       Impact factor: 1.826

10.  Whole-Genome Sequence of Bifidobacterium longum Strain Indica, Isolated from the Gut of a Healthy Indian Adult.

Authors:  Satyabrata Bag; Tarini Shankar Ghosh; Bhabatosh Das
Journal:  Genome Announc       Date:  2017-10-12
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