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通过比较基因组复杂度和宏转录组学评估使蓝藻繁盛的特质库。

The Trait Repertoire Enabling Cyanobacteria to Bloom Assessed through Comparative Genomic Complexity and Metatranscriptomics.

机构信息

Department of Biological Sciences, Northern Illinois University, DeKalb, Illinois, USA.

Biodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, Arizona, USA.

出版信息

mBio. 2020 Jun 30;11(3):e01155-20. doi: 10.1128/mBio.01155-20.

Abstract

Water bloom development due to eutrophication constitutes a case of niche specialization among planktonic cyanobacteria, but the genomic repertoire allowing bloom formation in only some species has not been fully characterized. We posited that the habitat relevance of a trait begets its underlying genomic complexity, so that traits within the repertoire would be differentially more complex in species successfully thriving in that habitat than in close species that cannot. To test this for the case of bloom-forming cyanobacteria, we curated 17 potentially relevant query metabolic pathways and five core pathways selected according to existing ecophysiological literature. The available 113 genomes were split into those of blooming (45) or nonblooming (68) strains, and an index of genomic complexity for each strain's version of each pathway was derived. We show that strain versions of all query pathways were significantly more complex in bloomers, with complexity in fact correlating positively with strain blooming incidence in 14 of those pathways. Five core pathways, relevant everywhere, showed no differential complexity or correlations. Gas vesicle, toxin and fatty acid synthesis, amino acid uptake, and C, N, and S acquisition systems were most strikingly relevant in the blooming repertoire. Further, we validated our findings using metagenomic gene expression analyses of blooming and nonblooming cyanobacteria in natural settings, where pathways in the repertoire were differentially overexpressed according to their relative complexity in bloomers, but not in nonbloomers. We expect that this approach may find applications to other habitats and organismal groups. We pragmatically delineate the trait repertoire that enables organismal niche specialization. We based our approach on the tenet, derived from evolutionary and complex-system considerations, that genomic units that can significantly contribute to fitness in a certain habitat will be comparatively more complex in organisms specialized to that habitat than their genomic homologs found in organisms from other habitats. We tested this in cyanobacteria forming harmful water blooms, for which decades-long efforts in ecological physiology and genomics exist. Our results essentially confirm that genomics and ecology can be linked through comparative complexity analyses, providing a tool that should be of general applicability for any group of organisms and any habitat, and enabling the posing of grounded hypotheses regarding the ecogenomic basis for diversification.

摘要

水华的形成是由于富营养化导致浮游蓝藻特化小生境的一个例子,但能够形成水华的基因组资源在某些物种中得到了充分的描述,而在其他物种中则没有。我们假设,一个特征的生态相关性决定了其潜在的基因组复杂性,因此在该生态位中成功生存的物种的特征的基因组复杂性会比不能在该生态位中生存的近缘物种的特征的基因组复杂性更高。为了检验这一点,我们选择了 17 种可能相关的代谢途径和 5 种核心途径进行研究。根据现有生态生理学文献选择了核心途径。可用的 113 个基因组被分为开花(45 个)或不开花(68 个)菌株,每个菌株的每个途径的基因组复杂性指数都是从可用的基因组中推导出来的。我们发现,所有查询途径的菌株版本在开花菌株中都显著更为复杂,实际上在其中 14 种途径中,复杂性与菌株开花的发生率呈正相关。五个核心途径,在任何地方都很重要,没有显示出不同的复杂性或相关性。气泡囊、毒素和脂肪酸合成、氨基酸摄取以及 C、N 和 S 获得系统在开花的特征中最为重要。此外,我们使用自然环境中开花和不开花蓝藻的宏基因组基因表达分析来验证我们的发现,结果表明,在开花特征中,根据它们在开花菌株中的相对复杂性,而不是在不开花菌株中的复杂性,特征库中的途径会被不同程度地过表达。我们预计这种方法可能会应用于其他栖息地和生物群体。我们务实地区分了使生物体特化小生境的特征库。我们的方法基于从进化和复杂系统考虑中得出的一个原则,即在某个特定栖息地中对适应性有显著贡献的基因组单元,在专门适应该栖息地的生物体中,与在其他栖息地生物体中发现的基因组同源物相比,会更为复杂。我们在形成有害水华的蓝藻中对这一假设进行了检验,几十年来,人们一直在对其进行生态生理学和基因组学研究。我们的结果基本上证实了,通过比较复杂性分析,基因组学和生态学可以联系起来,提供了一种适用于任何生物群体和任何栖息地的工具,使我们能够对生物多样性的生态基因组基础提出有根据的假设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2588/7327172/23d1834ccda7/mBio.01155-20-f0001.jpg

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