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转录组标记真菌的生长、呼吸和碳利用效率。

Transcriptomic markers of fungal growth, respiration and carbon-use efficiency.

机构信息

Department of Soil and Environment, Swedish University of Agricultural Sciences, Uppsala SE-75007, Sweden.

Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, 14220 Praha 4, Czech Republic.

出版信息

FEMS Microbiol Lett. 2021 Aug 19;368(15). doi: 10.1093/femsle/fnab100.

DOI:10.1093/femsle/fnab100
PMID:34338746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8374604/
Abstract

Fungal metabolic carbon acquisition and its subsequent partitioning between biomass production and respiration, i.e. the carbon-use efficiency (CUE), are central parameters in biogeochemical modeling. However, current available techniques for estimating these parameters are all associated with practical and theoretical shortcomings, making assessments unreliable. Gene expression analyses hold the prospect of phenotype prediction by indirect means, providing new opportunities to obtain information about metabolic priorities. We cultured four different fungal isolates (Chalara longipes, Laccaria bicolor, Serpula lacrymans and Trichoderma harzianum) in liquid media with contrasting nitrogen availability and measured growth rates and respiration to calculate CUE. By relating gene expression markers to measured carbon fluxes, we identified genes coding for 1,3-β-glucan synthase and 2-oxoglutarate dehydrogenase as suitable markers for growth and respiration, respectively, capturing both intraspecific variation as well as within-strain variation dependent on growth medium. A transcript index based on these markers correlated significantly with differences in CUE between the fungal isolates. Our study paves the way for the use of these markers to assess differences in growth, respiration and CUE in natural fungal communities, using metatranscriptomic or the RT-qPCR approach.

摘要

真菌代谢碳的获取及其随后在生物量生产和呼吸之间的分配,即碳利用效率(CUE),是生物地球化学模型的核心参数。然而,目前用于估计这些参数的技术都存在实际和理论上的缺陷,使得评估不可靠。基因表达分析通过间接手段有望预测表型,为获得有关代谢优先级的信息提供了新的机会。我们在液体培养基中培养了四种不同的真菌分离物(长枝木霉、双色蜡蘑、裂褶菌和哈茨木霉),这些培养基的氮供应存在差异,并测量了生长速率和呼吸速率以计算 CUE。通过将基因表达标记与测量的碳通量相关联,我们确定了编码 1,3-β-葡聚糖合酶和 2-氧戊二酸脱氢酶的基因分别作为生长和呼吸的合适标记物,既能捕捉种内变异,也能捕捉依赖于生长培养基的菌株内变异。基于这些标记物的转录指标与真菌分离物之间 CUE 的差异显著相关。我们的研究为使用这些标记物通过宏转录组学或 RT-qPCR 方法评估自然真菌群落中的生长、呼吸和 CUE 差异铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/8374604/95195ac1133c/fnab100fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/8374604/1a8dfbde07cc/fnab100fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/8374604/b1e1a3e65f5b/fnab100fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/8374604/ad7ab4b8e779/fnab100fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/8374604/95195ac1133c/fnab100fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/8374604/1a8dfbde07cc/fnab100fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/8374604/b1e1a3e65f5b/fnab100fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/8374604/ad7ab4b8e779/fnab100fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/8374604/95195ac1133c/fnab100fig4.jpg

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