High-throughput metabarcoding of SAR11 assemblages from the southwest Atlantic shelf and arid Patagonia: richness and associated rank abundance distributions.

IF 1.4 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Quantitative Biology Pub Date : 2023-10-17 eCollection Date: 2023-09-01 DOI:10.15302/J-QB-023-0329
Leandro R Jones, Julieta M Manrique
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引用次数: 0

Abstract

The SAR11 clade is likely the most abundant microbial lineage on earth. Here, we provide detailed analyses of the group's richness and AD in poorly studied Southern microbiomes. This requires whole community composition analyses to be performed, which are also provided in conjunction with the SAR11-specific studies. In this way, the work describes unknown aspects of the diversity of an outstanding bacterial lineage and novel data on remote and relatively little-studied microbial communities.

Background: Massively parallel sequencing of environmental DNA allows microbiological studies to be performed in greater detail than was possible with first-generation sequencing. For example, it facilitates the use of approaches hitherto largely applied to flora and fauna, such as rank abundance distribution (RAD) analyses.

Methods: Here, we set out to advance the knowledge on Ca. Pelagibacterales (SAR11) communities from southern South America using environmental sequences from the open ocean in the Argentine sea, the uncharted Engaño Bay, as well as a river and an oligohaline shallow lake from the Patagonian Steppe ecoregion. The structures of the SAR11 assemblages present in these ecosystems were dissected by direct and rarefaction-based estimates of species richness, and evaluations of the corresponding abundance distributions (ADs), which was addressed by RAD analyses.

Results: Microbial community composition analyses revealed that the studied SAR11 assemblages coexist with 27 bacterial phyla. SAR11 richness was in general very high, but ADs turned out to be highly uneven. The results were compatible with prior knowledge, and similar to that derived from point estimates of diversity. However, our comprehensive dissection allowed for more detailed quantitative comparisons to be made between the environments surveyed, and revealed differences regarding both richness and the underlying ADs.

Conclusions: Despite SAR11 assemblages being extremely rich, their ADs are very uneven. Richness and ADs can vary, not only between fresh and salt water, but also between oceanic and coastal marine environments. The obtained results provide insights on general topics such as adaptation and the contrast between marine and freshwater radiations.

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西南大西洋陆架和干旱巴塔哥尼亚SAR11组合的高通量元条形码:丰富度和相关的等级丰度分布。
SAR11分支可能是地球上最丰富的微生物谱系。在这里,我们提供了在研究较少的南方微生物组中该群体的丰富度和AD的详细分析。这需要进行整个群落组成分析,这也与sar11特异性研究一起提供。通过这种方式,这项工作描述了一个杰出细菌谱系多样性的未知方面,以及偏远和相对较少研究的微生物群落的新数据。背景:环境DNA的大规模平行测序使得微生物学研究比第一代测序更详细。例如,它有助于使用迄今主要应用于动植物的方法,如等级丰度分布(RAD)分析。方法:在这里,我们开始利用来自阿根廷海开放海洋的环境序列,未知的Engaño湾,以及来自巴塔哥尼亚草原生态区的一条河流和一个低盐浅湖来推进对南美南部Ca. Pelagibacterales (SAR11)群落的认识。通过物种丰富度的直接估算和基于稀疏的估算,以及相应的丰度分布(ADs)的评估,对这些生态系统中存在的SAR11组合结构进行了剖析,并通过RAD分析加以解决。结果:微生物群落组成分析显示,所研究的SAR11组合与27个细菌门共存。SAR11丰富度总体上非常高,但ADs却非常不均匀。结果与先验知识相一致,与从多样性的点估计中得到的结果相似。然而,我们的综合解剖允许在调查环境之间进行更详细的定量比较,并揭示了丰富度和潜在ADs的差异。结论:尽管SAR11组合非常丰富,但它们的ADs非常不均匀。丰富度和ad可以变化,不仅在淡水和咸水之间,而且在海洋和沿海海洋环境之间。获得的结果提供了对适应以及海洋和淡水辐射之间的对比等一般主题的见解。
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来源期刊
Quantitative Biology
Quantitative Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
5.00
自引率
3.20%
发文量
264
期刊介绍: Quantitative Biology is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems. It is a quarterly journal seeking to provide an inter- and multi-disciplinary forum for a broad blend of peer-reviewed academic papers in order to promote rapid communication and exchange between scientists in the East and the West. The content of Quantitative Biology will mainly focus on the two broad and related areas: ·bioinformatics and computational biology, which focuses on dealing with information technologies and computational methodologies that can efficiently and accurately manipulate –omics data and transform molecular information into biological knowledge. ·systems and synthetic biology, which focuses on complex interactions in biological systems and the emergent functional properties, and on the design and construction of new biological functions and systems. Its goal is to reflect the significant advances made in quantitatively investigating and modeling both natural and engineered life systems at the molecular and higher levels. The journal particularly encourages original papers that link novel theory with cutting-edge experiments, especially in the newly emerging and multi-disciplinary areas of research. The journal also welcomes high-quality reviews and perspective articles.
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