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Arid Ecosystem: Future Option for Carbon Sinks Using Microbial Community Intelligence


Affiliations
1 Environmental Genomics Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020, India
2 Microbial Biotechnology and Genomics Division, CSIR-Institute of Genomics and Integrative Biology, Delhi University Campus, Mall Road, Delhi 110 007, India
3 CSIR-National Geophysical Research Institute, Hyderabad 500 007, India
 

Desert, comprising one-third of the Earth's surface, was a synonym for 'no life' as it supports very less or no life due to nutritional stress and extreme weather. Microbial autotrophic biochemistry is the principal source of carbon in arid environment, but understanding of these processes in arid ecosystem is limited. Emerging molecular tools have identified associations of phototrophic and chemolithoautotrophic communities often termed as 'biological soil crust' or 'microbiotic crust'. They are the sole sources of carbon and nitrogen, collectively providing soil stability to support vegetation. Here the curiosity arises, whether this phenomenon could be exploited in deserts for carbon sink using microbial community intelligence. By following the precipitation event under regulated nutrient supply that promotes the soil microbial intelligence for autotrophy would enrich soil carbon and nitrogen which in turn support plant growth in desert. Additionally, bioaugmentation of rhizobacteria could enhance the process. This will enable us to refine and formulate our strategies to exploit CO2-fixing microorganisms in such niches vis-a-vis supporting the carbon sink using microbial community intelligence.

Keywords

Arid Ecosystem, Biological Soil Crust, Carbon Sequestration, Metagenome, Microbial Intelligence.
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  • Arid Ecosystem: Future Option for Carbon Sinks Using Microbial Community Intelligence

Abstract Views: 353  |  PDF Views: 148

Authors

Leena Agarwal
Environmental Genomics Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020, India
Asifa Qureshi
Environmental Genomics Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020, India
Vipin Chandra Kalia
Microbial Biotechnology and Genomics Division, CSIR-Institute of Genomics and Integrative Biology, Delhi University Campus, Mall Road, Delhi 110 007, India
Atya Kapley
Environmental Genomics Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020, India
Hemant J. Purohit
Environmental Genomics Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020, India
R. N. Singh
CSIR-National Geophysical Research Institute, Hyderabad 500 007, India

Abstract


Desert, comprising one-third of the Earth's surface, was a synonym for 'no life' as it supports very less or no life due to nutritional stress and extreme weather. Microbial autotrophic biochemistry is the principal source of carbon in arid environment, but understanding of these processes in arid ecosystem is limited. Emerging molecular tools have identified associations of phototrophic and chemolithoautotrophic communities often termed as 'biological soil crust' or 'microbiotic crust'. They are the sole sources of carbon and nitrogen, collectively providing soil stability to support vegetation. Here the curiosity arises, whether this phenomenon could be exploited in deserts for carbon sink using microbial community intelligence. By following the precipitation event under regulated nutrient supply that promotes the soil microbial intelligence for autotrophy would enrich soil carbon and nitrogen which in turn support plant growth in desert. Additionally, bioaugmentation of rhizobacteria could enhance the process. This will enable us to refine and formulate our strategies to exploit CO2-fixing microorganisms in such niches vis-a-vis supporting the carbon sink using microbial community intelligence.

Keywords


Arid Ecosystem, Biological Soil Crust, Carbon Sequestration, Metagenome, Microbial Intelligence.



DOI: https://doi.org/10.18520/cs%2Fv106%2Fi10%2F1357-1363