生产力
云计算
分析
范围(计算机科学)
计算机科学
环境科学
生态系统服务
数据科学
环境资源管理
生态系统
风险分析(工程)
业务
生态学
生物
操作系统
宏观经济学
经济
程序设计语言
作者
Anupam J. Das,Renuka Ravinath,Budiyal Ramesh Shilpa,Bilgi Sampgod Rohith,Arvind Kumar Goyal,Nijalingappa Ramesh Shilpa,M. K. Prasannakumar,Hemavathy Ekambaram Prasannakumar,Hemavathy Ekambaram,Talambedu Usha,Sushil Kumar Middha
摘要
Soil constitutes a major component of the agro-ecosystem. Unrestrained uses of chemical pesticides and increased human activities have contributed to unprecedented changes in soil microflora affecting productivity. Modern microbiomics has proven to be an indispensable tool to understand the adaptations underlying complex soil microbial communities and their beneficial applications. In this review, we seek to emphasize the scope of microbiomics in enhancing soil productivity by providing an overview of the various sequencing platforms considering key parameters such as the accuracy, read lengths, reads per run, time involved and weighing out their pros and cons. The advances in modern ultra-high-throughput microbiomics platforms in combination with cloud-based analytics for in-depth exploration of soil-microbe associations can help achieve sustainable soil management contributing to better plant yield and productivity.
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