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Functional diversity of microbial communities in two contrasting maize rhizosphere soils
Rhizosphere ( IF 3.7 ) Pub Date : 2020-11-24 , DOI: 10.1016/j.rhisph.2020.100282
Chinenyenwa Fortune Chukwuneme , Ayansina Segun Ayangbenro , Olubukola Oluranti Babalola , Funso Raphael Kutu

The characterization of microbial functional diversity proffers the opportunity to understand and manipulate them in various agricultural and biotechnological processes. This study analyzed the functional diversity and metabolic potentials of microbial communities in the rhizosphere of a former grassland and an intensively cultivated land using a shotgun metagenomic approach. We assumed that functional diversity will vary between the two maize fields and that each soil has an active metabolic profile that differentiates it from the other. Metagenomic DNA was extracted from the rhizosphere, and bulk soil samples from maize fields and sequencing was performed using the shotgun method. The results showed that 14 functional categories were dominant in the former grassland rhizosphere, while 12 functions predominated the intensively cultivated land. In the subsystems at level 2, potassium metabolism was the most abundant functional category with the highest relative abundance of 21.32% observed in GZ3. No significant difference was observed in the alpha diversity studies between the two fields, the Kruskal-Wallis test also revealed an insignificant difference (p = 0.99) in the diversity levels of samples, while 0.51 and 0.01 were obtained as the R- and p-values, respectively from the analysis of similarity (ANOSIM) performed. Nitrate nitrogen (N-NO3) was the most influential physicochemical parameter, with a p-value of 0.01 and a contribution % of 81.7%. Furthermore, the high abundance of unknown functions explains that the maize microbiome is still underexplored. Identifying the microbial communities with these functions will help in modeling them to harvest their unique functional benefits for agricultural productivity enhancement.



中文翻译:

两种对比玉米根际土壤微生物群落功能多样性

微生物功能多样性的表征提供了在各种农业和生物技术过程中理解和操纵它们的机会。这项研究使用a弹枪宏基因组学方法分析了前草原和集约耕地中根际微生物群落的功能多样性和代谢潜力。我们假设两个玉米田之间的功能多样性会有所不同,并且每种土壤都有一个活跃的代谢特征,可以将其与其他土壤区分开。从根际中提取超基因组DNA,从玉米田中提取大量土壤样品,并使用the弹枪方法进行测序。结果表明,在前草地根际中有14个功能类别占主导,而在集约耕地中占12个功能。在2级子系统中,钾代谢是功能最丰富的功能类别,在GZ3中观察到的相对丰度最高,为21.32%。在两个领域的alpha多样性研究中未观察到显着差异,Kruskal-Wallis检验也显示出微不足道的差异(样本的多样性水平中p = 0.99),而通过相似性分析(ANOSIM)分别获得了0.51和0.01的R值和p值。硝酸盐氮(N-NO 3)是最有影响力的理化参数,p值为0.01,贡献百分比为81.7%。此外,未知功能的丰富性也说明了玉米微生物组的研究仍不足。确定具有这些功能的微生物群落将有助于对其进行建模,以收获其独特的功能性收益,从而提高农业生产率。

更新日期:2020-12-17
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