Literature DB >> 26484205

Investigations on microbial diversity of Jakrem hot spring, Meghalaya, India using cultivation-independent approach.

Amrita Kumari Panda1, Satpal Singh Bisht1, Nachimuthu Senthil Kumar2, Surajit De Mandal2.   

Abstract

Jakrem hot water spring is located in the West Khasi Hill District of the state of Meghalaya, and is one of the most popular hot springs of the state. There is a populist belief among the inhabitants and people that the hot spring water has got curative properties against various skin ailments. This is the first report on V3 hyper-variable region of 16S rDNA metagenome sequence employing Illumina platform to profile the microbial community of this less known hot spring from Meghalaya, India. Metagenome comprised of 10, 74,120 raw sequences with a sequence length of 151 bp and 56.35% G + C content. Metagenome sequence information is now available at NCBI, SRA database accession no. SRP056897. A total of 8, 77, 364 pre-processed reads were clustered into 694 OTUs (operational taxonomical units) comprising of 14 bacterial phyla including unknown phylum demonstrating 49 families. Hot spring bacterial community is dominated by Firmicutes (61.60%), Chloroflexi (21.37%), Cyanobacteria (12.96%) and unclassified bacteria (1.2%) respectively.

Entities:  

Keywords:  Alkaline hot spring; Firmicutes; Illumina sequencing; Metagenome; Microbial diversity

Year:  2015        PMID: 26484205      PMCID: PMC4535621          DOI: 10.1016/j.gdata.2015.04.016

Source DB:  PubMed          Journal:  Genom Data        ISSN: 2213-5960


Direct link to deposited data

.

Experimental design, materials and methods

The thermal springs harbor population of microorganisms with great commercial importance and interest to the researchers and industry working on enzymes, sugars, compatible solutes and antibiotics [1]. Diversity analysis of such extreme environments has got ample attention due to their diverse and unique ecology, chemistry and opportunity they provide to identify rare compounds and genes [2]. Despite the possibility of the presence of novel microbes with high economic and industrial use very few reports are available on the microbial diversity of hot springs from the Indian subcontinent. Cultivation-dependent studies are valuable for isolating novel organisms and exploring their properties but the cultivation independent methods offer a more comprehensive assessment of microbial diversity [3]. The study was designed to investigate community composition by using metagenomic approach and a clone library based study of hot spring microbial mat samples. The findings revealed the presence of a large number of sequence reads from bacterial taxa Arthronema which may represent novel species within this genus which was reported for the first time in association with hot spring. India is one of the tectonically active areas in the world inhabiting many hot springs. The Jakrem hot spring (25°24.450′ N and 91°32.414′ E) is one of the less explored hot water springs in Meghalaya, India. The temperature and pH of the hot spring are reported to be 46 °C and 9 respectively. The only report available on this less explored hot water spring revealed the presence of species of Mastigocladus and Microcoleus of Cyanophyceae [4]. In the present investigation, the total community DNA was isolated from the microbial mat samples of the spring using a FastDNA spin kit (MP Biomedicals, LLC, USA). The freshly extracted DNA was purified using 0.5% low gelling temperature agarose. Final DNA concentration was quantified using a microplate reader (BMG Labtech, Jena, Germany). The V3 region of the 16S rRNA gene was amplified using 341F/518R primer combination (5′CCTACGGGAGGCAGCAG 3′; 5′ATTACCGCGGCTGCTGG 3′). Amplicon was excised and purified by QIA quick Gel Extraction kit (Qiagen, Valencia, CA, USA) according to the manufacturer's manual. Purified amplicon was paired-end sequenced on an Illumina Mi-Seq platform. QIIME data analysis package was used for 16S rRNA data analysis [5]. Quality check on raw sequences was performed as per base quality score distributions, average base content per read and GC distribution in the reads. Singletons, the unique OTU that did not cluster with other sequences, were removed as it might be a consequence of sequencing errors and can result in spurious OTUs. Chimeras were also removed using UCHIME, and pre-processed consensus V3 sequences were grouped into operational taxonomic units (OTUs) using the clustering program UCLUST at a similarity threshold of 0.97 [6], [7]. All the pre-processed reads were used to identify the OTUs using QIIME program for constructing a representative sequence for each OTU. The representative sequence was finally aligned against Greengenes core set of sequences using PyNAST program [8]. Representative sequence for each OTU was classified using RDP classifier and Greengenes OTU database and the sequences of those not classified were categorized as unknown. In the sample studied, the classified OTUs represent 13 distinct phyla dominated by Firmicutes (61.60%), Chloroflexi (21.37%) and Cyanobacteria (12.96%) (Fig. 1). Firmicutes grow chemo-organo-trophically on a number of organic substrates particularly in alkaline springs [9]. Firmicutes constituted 138 OTUs i.e. 19.88% of total OTUs and 5, 40,441 reads which are 61.59% of the total reads. Chloroflexi constitutes 58 OTUs i.e. 8.35% of total OTUs and 1, 87,546 reads which is 21.37% of total reads whereas 237 OTUs i.e. 34.14% of total OTUs belong to the unknown phylum substantiating the earlier findings that non-acidic hot springs harbor more diverse and variable bacterial phyla than the acidic springs [10]. The presence of many novel species is indicated by more than 200 unknown OTUs.
Fig. 1

Community composition in Jakrem hot spring metagenome.

Prominent families in the metagenome were Clostridiaceae (60.92%), Chloroflexaceae (21.26%) and Pseudanabaenaceae (12. 77%). A total of 44 genera including unknown bacterial genus (63.50%), Chloroflexus (21.22%) and Arthronema (12.69%) were obtained. The existence of significant percentage of Arthronema sequences in the metagenome suggests that the microbial mat pigment richness in the microbial/algal mat of the hot spring may have massive commercial value as natural colorants in nutraceuticals, cosmetics and pharmaceutical industries. At the species level analysis, 12 bacterial species were recognized with the prominent presence of unknown species (99.38%) and Rhodococcus fascians (0.44%). More than 99% of the unknown species strongly suggest that the Jakrem hot spring harbors the wealth of uncultivable bacteria.

Nucleotide sequence accession number

Metagenome sequence data are available at NCBI Accession no. SRP056897.

Competing interests

The authors declare that there are no competing interests.
Specifications
Organism/cell line/tissueMetagenome of Jakrem hot spring
SexNot applicable
Sequencer or array typeIllumina
Data formatAnalyzed
Experimental factorsEnvironmental sample
Experimental featuresV3 hypervariable region of 16S rDNA was sequenced using paired end Illumina Mi-Seq technology, sequence analyzed by QIIME data analysis package.
ConsentNot applicable
Sample source locationMicrobial/algal mat, Jakrem hot spring, Shillong, Meghalaya, India (25°24.450′ N and 91°32.414′ E, Elevation 4756 ft.)
  8 in total

1.  Search and clustering orders of magnitude faster than BLAST.

Authors:  Robert C Edgar
Journal:  Bioinformatics       Date:  2010-08-12       Impact factor: 6.937

2.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

Authors:  T Z DeSantis; P Hugenholtz; N Larsen; M Rojas; E L Brodie; K Keller; T Huber; D Dalevi; P Hu; G L Andersen
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

Review 3.  A renaissance for the pioneering 16S rRNA gene.

Authors:  Susannah G Tringe; Philip Hugenholtz
Journal:  Curr Opin Microbiol       Date:  2008-10-08       Impact factor: 7.934

4.  Bacterial and archaeal diversities in Yunnan and Tibetan hot springs, China.

Authors:  Zhao-Qi Song; Feng-Ping Wang; Xiao-Yang Zhi; Jin-Quan Chen; En-Min Zhou; Feng Liang; Xiang Xiao; Shu-Kun Tang; Hong-Chen Jiang; Chuanlun L Zhang; Hailiang Dong; Wen-Jun Li
Journal:  Environ Microbiol       Date:  2012-11-06       Impact factor: 5.491

Review 5.  Recent developments in production and biotechnological applications of cold-active microbial proteases.

Authors:  Mohammed Kuddus; Pramod W Ramteke
Journal:  Crit Rev Microbiol       Date:  2012-08-01       Impact factor: 7.624

6.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

7.  UCHIME improves sensitivity and speed of chimera detection.

Authors:  Robert C Edgar; Brian J Haas; Jose C Clemente; Christopher Quince; Rob Knight
Journal:  Bioinformatics       Date:  2011-06-23       Impact factor: 6.937

8.  A comprehensive census of microbial diversity in hot springs of Tengchong, Yunnan Province China using 16S rRNA gene pyrosequencing.

Authors:  Weiguo Hou; Shang Wang; Hailiang Dong; Hongchen Jiang; Brandon R Briggs; Joseph P Peacock; Qiuyuan Huang; Liuqin Huang; Geng Wu; Xiaoyang Zhi; Wenjun Li; Jeremy A Dodsworth; Brian P Hedlund; Chuanlun Zhang; Hilairy E Hartnett; Paul Dijkstra; Bruce A Hungate
Journal:  PLoS One       Date:  2013-01-09       Impact factor: 3.240

  8 in total
  5 in total

1.  Amplicon sequencing and imputed metagenomic analysis of waste soil and sediment microbiome reveals unique bacterial communities and their functional attributes.

Authors:  Surajit De Mandal; Vabeiryureilai Mathipi; Rajendra Bose Muthukumaran; Guruswami Gurusubramanian; Esther Lalnunmawii; Nachimuthu Senthil Kumar
Journal:  Environ Monit Assess       Date:  2019-11-29       Impact factor: 2.513

Review 2.  Bacterial diversity in 110 thermal hot springs of Indian Himalayan Region (IHR).

Authors:  Jagdish Verma; Anuradha Sourirajan; Kamal Dev
Journal:  3 Biotech       Date:  2022-08-21       Impact factor: 2.893

3.  Bacterial diversity of Murlen National Park located in Indo-Burman Biodiversity hotspot region: A metagenomic approach.

Authors:  Surajit De Mandal; H T Lalremsanga; Nachimuthu Senthil Kumar
Journal:  Genom Data       Date:  2015-05-08

Review 4.  Metagenomics of Thermophiles with a Focus on Discovery of Novel Thermozymes.

Authors:  María-Eugenia DeCastro; Esther Rodríguez-Belmonte; María-Isabel González-Siso
Journal:  Front Microbiol       Date:  2016-09-27       Impact factor: 5.640

5.  Characterization and Screening of Thermophilic Bacillus Strains for Developing Plant Growth Promoting Consortium From Hot Spring of Leh and Ladakh Region of India.

Authors:  Jay Prakash Verma; Durgesh Kumar Jaiswal; Ram Krishna; Satya Prakash; Janardan Yadav; Vijai Singh
Journal:  Front Microbiol       Date:  2018-06-26       Impact factor: 5.640

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.