Prasannakumar M K, Netravathi L M, Mahesh H B, Buela Parivallal P, Puneeth M E, Sathish A, Pramesh Devanna, Middha Sushil K, Das Anupam J, Rohit B S
Department of Plant Pathology, University of Agricultural Sciences, Bengaluru, 560065 India.
Department of Genetics and Plant Breeding, College of Agriculture, V. C. Farm, University of Agricultural Sciences, Mandya, 571405 India.
3 Biotech. 2021 May;11(5):245. doi: 10.1007/s13205-021-02783-y. Epub 2021 Apr 29.
Intensive cropping degrades soil quality and disrupts the soil microbiome. To understand the effect of rice monocropping on soil-microbiome, we used a comparative 16S rRNA metagenome sequencing method to analyze the diversity of soil microflora at the genomic level. Soil samples were obtained from five locations viz., Chamarajnagara, Davangere, Gangavathi, Mandya, and Hassan of Karnataka, India. Chemical analysis of soil samples from these locations revealed significant variations in pH (6.00-8.38), electrical conductivity (0.17-0.69 dS m), organic carbon (0.51-1.29%), available nitrogen (279-551 kg ha), phosphorous (57-715 kg ha) and available potassium (121-564 kg ha). The 16S metagenome analysis revealed that the microbial diversity in Gangavathi soil samples was lower than in other locations. The soil sample of Gangavathi showed a higher abundance of Proteobacteria (85.78%) than Mandya (27.18%). The Firmicutes were more abundant in Chamarajnagar samples (36.01%). Furthermore, the KEGG pathway study revealed enriched nitrogen, phosphorus, and potassium metabolism pathways in all soil samples. In terms of the distribution of beneficial microflora, the decomposers were more predominant than the nutrient recyclers such as nitrogen fixers, phosphorous mineralizers, and nitrifiers. Furthermore, we isolated culturable soil microbes and tested their antagonistic activity in vitro against a fungal pathogen of rice, strain MG01. Six sp. and two strains of showed higher antagonistic activity against MG01. Our findings indicate that metagenome sequencing can be used to investigate the diversity, distribution, and abundance of soil microflora in rice-growing areas. The knowledge gathered can be used to develop strategies for maintaining soil quality and crop conservation to increase crop productivity.
The online version contains supplementary material available at 10.1007/s13205-021-02783-y.
集约种植会降低土壤质量并破坏土壤微生物群落。为了解水稻单作对土壤微生物群落的影响,我们采用比较16S rRNA宏基因组测序方法,在基因组水平分析土壤微生物区系的多样性。土壤样本取自印度卡纳塔克邦的五个地点,即恰马勒贾纳加拉、达万盖雷、甘加瓦蒂、曼迪亚和哈桑。对这些地点的土壤样本进行化学分析发现,pH值(6.00 - 8.38)、电导率(0.17 - 0.69 dS m)、有机碳(0.51 - 1.29%)、有效氮(279 - 551 kg/公顷)、磷(57 - 715 kg/公顷)和有效钾(121 - 564 kg/公顷)存在显著差异。16S宏基因组分析表明,甘加瓦蒂土壤样本中的微生物多样性低于其他地点。甘加瓦蒂的土壤样本中变形菌门的丰度(85.78%)高于曼迪亚(27.18%)。厚壁菌门在恰马勒贾纳加尔样本中更为丰富(36.01%)。此外,KEGG通路研究表明,所有土壤样本中的氮、磷和钾代谢通路均有富集。就有益微生物区系的分布而言,分解者比诸如固氮菌、磷矿化菌和硝化菌等营养循环者更为占主导地位。此外,我们分离了可培养的土壤微生物,并在体外测试了它们对水稻真菌病原体MG01菌株的拮抗活性。六种[具体菌种]和两种[具体菌株]对MG01表现出较高的拮抗活性。我们的研究结果表明,宏基因组测序可用于研究水稻种植区土壤微生物区系的多样性、分布和丰度。所获得的数据可用于制定维持土壤质量和作物保护的策略,以提高作物产量。
在线版本包含可在10.1007/s13205-021-02783-y获取的补充材料。