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Genetic and metabolic diversities of rhizobacteria isolated from degraded soil of Ethiopia

机译:从埃塞俄比亚退化土壤中分离的遗传和代谢多样性rhizobacteria

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摘要

Genetic and metabolic diversities of rhizobacteria are the fundamental sources for their adaptation to cope with abiotic and biotic stresses in order to enhance growth and health of plants in the soil. Thus, this study was initiated to assess the genetic and metabolic diversities of rhizobacteria isolated from plants grown in degraded soil through BOX-PCR and partial sequencing of 16S rRNA genes. A total of eighty isolates were recovered and subjected to phenotypic profiling of carbohydrate and amino acid utilization, BOX PCR and 16S rRNA profiling. The phenotypic profiling showed remarkable metabolic versatility with Ochrobactrum spp, Pseudomonas spp and Klebsiella spp, and BOX-PCR showed greater discriminatory power for fingerprinting of rhizobacterial isolates with high degree of polymorphism. Bacillus spp showed the highest Simpson's diversity Index. The 16S rRNA genes sequence assigned the rhizobacteria to phyla Proteobacteria with Gammaproteobacteria and Alphaproteobacteria classes and Firmicutes with Bacilli class. The data also showed that the most dominant species were Pseudomonas and Ochrobactrum. Genetic and metabolic diversities of the rhizobacterial isolates reveal the potential of these microbes for plant growth improvement under water deficient soil after testing other inoculant traits.
机译:遗传和代谢多样性的根瘤菌是它们适应应对非生物和生物应激的基本来源,以提高土壤中植物的生长和健康。因此,启动该研究以评估通过Box-PCR在降解土壤中生长的植物中分离的遗传和代谢多样性的遗传和代谢多样性和16S rRNA基因的部分测序。回收了总共八十个分离株,并进行了碳水化合物和氨基酸利用,箱PCR和16S rRNA分析的表型分析。表型分析显示出具有卵反分SPP,假单胞菌SPP和Klebsiella SPP的显着代谢通用性,Box-PCR显示出具有高度多态性的根瘤菌分离株的指纹识别力的歧视力。 Bacillus SPP显示了最高的辛普森的多样性指数。 16S rRNA基因序列用丙曲曲曲杆菌和αpacaproteobacteria类别分配给Phyla Proteobacteria和用杆菌等级进行。该数据还表明,最占优势的物种是假单胞菌和Ochrobactrum。遗传和代谢多样性的根瘤菌分离物揭示了这些微生物在缺水土壤中进行了造成的这些微生物,在缺水后的土壤中进行了缺陷的土壤,在测试其它孕育性状后。

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