Laboratorio de Bioinformática y Expresión Génica, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile.
Center for Genome Regulation (CGR), Santiago, Chile.
Biol Res. 2020 Jul 6;53(1):29. doi: 10.1186/s40659-020-00296-1.
Arid environments are defined by the lack of water availability, which is directly related to the mean annual precipitation (MAP), and high values of solar irradiation, which impacts the community composition of animals, plants, and the microbial structure of the soil. Recent advances in NGS technologies have expanded our ability to characterize microbiomes, allowing environmental microbiologists to explore the complete microbial structure. Intending to identify and describe the state-of-the-art of bacterial communities in arid soils at a global scale, and to address the effect that some environmental features may have on them, we performed a systematic review based on the PRISMA guideline. Using a combination of keywords, we identified a collection of 66 studies, including 327 sampled sites, reporting the arid soil bacterial community composition by 16S rDNA gene high-throughput sequencing. To identify factors that can modulate bacterial communities, we extracted the geographical, environmental, and physicochemical data. The results indicate that even though each sampled site was catalogued as arid, they show wide variability in altitude, mean annual temperature (MAT), soil pH and electric conductivity, within and between arid environments. We show that arid soils display a higher abundance of Actinobacteria and lower abundance of Proteobacteria, Cyanobacteria, and Planctomycetes, compared with non-arid soil microbiomes, revealing that microbial structure seems to be strongly modulated by MAP and MAT and not by pH in arid soils. We observed that environmental and physicochemical features were scarcely described among studies, hence, we propose a reporting guideline for further analysis, which will allow deepening the knowledge of the relationship between the microbiome and abiotic factors in arid soil. Finally, to understand the academic collaborations landscape, we developed an analysis of the author's network, corroborating a low degree of connectivity and collaborations in this research topic. Considering that it is crucial to understand how microbial processes develop and change in arid soils, our analysis emphasizes the need to increase collaborations between research groups worldwide.
干旱环境的定义是缺乏水资源,这与年平均降水量(MAP)直接相关,同时还具有高太阳辐射值,这会影响动物、植物群落组成以及土壤微生物结构。NGS 技术的最新进展扩展了我们对微生物组进行特征描述的能力,使环境微生物学家能够探索完整的微生物结构。为了在全球范围内识别和描述干旱土壤中细菌群落的最新状态,并解决某些环境特征可能对它们产生的影响,我们根据 PRISMA 指南进行了系统评价。我们使用关键词组合,确定了 66 项研究,其中包括 327 个采样点,这些研究通过高通量测序 16S rDNA 基因报告了干旱土壤细菌群落组成。为了确定可以调节细菌群落的因素,我们提取了地理、环境和物理化学数据。结果表明,尽管每个采样点都被归类为干旱,但它们在海拔、年平均温度(MAT)、土壤 pH 值和电导率方面表现出很大的变异性,无论是在干旱环境内部还是之间。我们表明,与非干旱土壤微生物组相比,干旱土壤中放线菌的丰度较高,而变形菌、蓝细菌和浮霉菌的丰度较低,这表明微生物结构似乎受到 MAP 和 MAT 的强烈调节,而不是受干旱土壤 pH 值的调节。我们观察到,在研究中很少描述环境和物理化学特征,因此,我们提出了进一步分析的报告指南,这将有助于加深对干旱土壤中微生物组与非生物因素之间关系的了解。最后,为了了解学术合作的格局,我们对作者网络进行了分析,证实了该研究主题的连接性和合作性都较低。考虑到了解微生物过程在干旱土壤中如何发展和变化至关重要,我们的分析强调了需要增加全球研究小组之间的合作。