PMID- 30369115
OWN - NLM
STAT- MEDLINE
DCOM- 20190430
LR  - 20190430
IS  - 1738-8872 (Electronic)
IS  - 1017-7825 (Linking)
VI  - 28
IP  - 9
DP  - 2018 Sep 28
TI  - Spatial Physiochemical and Metagenomic Analysis of Desert Environment.
PG  - 1517-1526
LID - 10.4014/jmb.1804.04005 [doi]
AB  - Investigating the bacterial diversity and their metabolic capabilities are 
      crucial for interpreting ecological patterns in desert environment, and assessing 
      the presence of exploitable microbial resources. In this study, we evaluated the 
      spatial heterogeneity of physico-chemical parameters, soil bacterial diversity 
      and metabolic adaptation at meter scale. Soil samples were collected from two 
      quadrates a desert environment (Thar Desert, India) which face hot arid climate 
      with very little rainfall and extreme temperatures. Analysis of physico-chemical 
      parameters and subsequent variance analysis (p-values < 0.05) revealed that 
      sulfate, potassium and magnesium ions were the most variable between the 
      quadrates. Microbial diversity of the two quadrates was studied using Illumina 
      bar coded sequencing by targeting V3-V4 regions of 16S rDNA. As the results, 
      702504 high-quality sequence reads, assigned to 173 operationaltaxonomic units 
      (OTUs) at species level. The most abundant phyla in both quadrates were 
      Actinobacteria (38.72%), Proteobacteria (32.94%), and Acidobacteria (9.24%). At 
      genus level, Gaiellarepresented highest prevalence, followed by Streptomyces, 
      Solirubrobacter, Aciditerrimonas, Geminicoccus, Geodermatophilus, Microvirga, and 
      Rubrobacter. Between the quadrates, significant difference (p-values < 0.05) was 
      found in the abundance of Aciditerrimonas, Geodermatophilus Geminicoccus, 
      Ilumatobacter, Marmoricola, Nakamurella and Solirubrobacter. Metabolic functional 
      mapping revealed diverse biological activities, and was significantly correlated 
      with physico-chemical parameters. The results revealed spatial variation of ions, 
      microbial abundance and functional attributes in the studied quadrates, and 
      patchy nature in local scale. Interestingly, abundance ofthe biotechnologically 
      important phylum Actinobacteria, with large proposition of unclassified speciesin 
      the desert suggested that this arid environment is the promising site for 
      bioprospection.
FAU - Sivakala, Kunjukrishnan Kamalakshi
AU  - Sivakala KK
AD  - School of Biotechnology, Madurai Kamaraj University, Madurai, India.
FAU - Jose, Polpass Arul
AU  - Jose PA
AD  - Department of Agricultural Microbiology, Agricultural College and Research 
      Institute, Tamil Nadu Agricultural University, Madurai, India.
FAU - Anandham, Rangasamy
AU  - Anandham R
AD  - Department of Agricultural Microbiology, Agricultural College and Research 
      Institute, Tamil Nadu Agricultural University, Madurai, India.
FAU - Thinesh, Thangathurai
AU  - Thinesh T
AD  - School of Life sciences, Pondicherry University, Puducherry, India.
FAU - Jebakumar, Solomon Robinson David
AU  - Jebakumar SRD
AD  - School of Biotechnology, Madurai Kamaraj University, Madurai, India.
FAU - Samaddar, Sandipan
AU  - Samaddar S
AD  - Department of Environmental and Biological Chemistry, Chungbuk National 
      University, Cheongju 28644, Republic of Korea.
FAU - Chatterjee, Poulami
AU  - Chatterjee P
AD  - Department of Environmental and Biological Chemistry, Chungbuk National 
      University, Cheongju 28644, Republic of Korea.
FAU - Sivakumar, Natesan
AU  - Sivakumar N
AD  - School of Biotechnology, Madurai Kamaraj University, Madurai, India.
FAU - Sa, Tongmin
AU  - Sa T
AD  - Department of Environmental and Biological Chemistry, Chungbuk National 
      University, Cheongju 28644, Republic of Korea.
LA  - eng
PT  - Journal Article
PL  - Korea (South)
TA  - J Microbiol Biotechnol
JT  - Journal of microbiology and biotechnology
JID - 9431852
RN  - 0 (RNA, Ribosomal, 16S)
RN  - 0 (Soil)
SB  - IM
MH  - Bacteria/*chemistry/classification/*genetics/metabolism
MH  - Biodiversity
MH  - *Desert Climate
MH  - India
MH  - Metabolic Networks and Pathways
MH  - *Metagenomics
MH  - Microbiota
MH  - RNA, Ribosomal, 16S/genetics
MH  - Soil/chemistry
MH  - *Soil Microbiology
MH  - Spatial Analysis
OTO - NOTNLM
OT  - Desert
OT  - actinobacteria
OT  - arid soil
OT  - functional mapping
OT  - microbial diversity
OT  - spatial heterogeneity
EDAT- 2018/10/30 06:00
MHDA- 2019/05/01 06:00
CRDT- 2018/10/30 06:00
PHST- 2018/10/30 06:00 [entrez]
PHST- 2018/10/30 06:00 [pubmed]
PHST- 2019/05/01 06:00 [medline]
AID - 10.4014/jmb.1804.04005 [pii]
AID - 10.4014/jmb.1804.04005 [doi]
PST - ppublish
SO  - J Microbiol Biotechnol. 2018 Sep 28;28(9):1517-1526. doi: 10.4014/jmb.1804.04005.