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Quantitative Transcriptomics Reveals the Growth- and Nutrient-Dependent Response of a Streamlined Marine Methylotroph to Methanol and Naturally Occurring Dissolved Organic Matter.定量转录组学揭示了一种简化海洋甲基营养菌对甲醇和天然溶解有机物的生长及营养依赖性响应。
mBio. 2016 Nov 22;7(6):e01279-16. doi: 10.1128/mBio.01279-16.
2
Patterns of Transcript Abundance of Eukaryotic Biogeochemically-Relevant Genes in the Amazon River Plume.亚马逊河羽流中与生物地球化学相关的真核基因转录本丰度模式
PLoS One. 2016 Sep 6;11(9):e0160929. doi: 10.1371/journal.pone.0160929. eCollection 2016.
3
Transcriptional Control in Marine Copiotrophic and Oligotrophic Bacteria with Streamlined Genomes.基因组精简的海洋富营养和贫营养细菌中的转录调控
Appl Environ Microbiol. 2016 Sep 16;82(19):6010-8. doi: 10.1128/AEM.01299-16. Print 2016 Oct 1.
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Proc Natl Acad Sci U S A. 2016 Mar 22;113(12):3143-51. doi: 10.1073/pnas.1514645113. Epub 2016 Mar 7.
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Growth rates and rRNA content of four marine bacteria in pure cultures and in the Delaware estuary.四种海洋细菌在纯培养物中和特拉华河河口的生长速率及核糖体RNA含量
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Trends Microbiol. 2015 Sep;23(9):577-84. doi: 10.1016/j.tim.2015.05.004. Epub 2015 Jun 4.
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Single-taxon field measurements of bacterial gene regulation controlling DMSP fate.控制二甲基巯基丙酸内盐(DMSP)命运的细菌基因调控的单分类群实地测量。
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ISME J. 2015 Jul;9(7):1557-69. doi: 10.1038/ismej.2014.240. Epub 2014 Dec 16.
9
Microspatial gene expression patterns in the Amazon River Plume.亚马逊河羽流中的微空间基因表达模式。
Proc Natl Acad Sci U S A. 2014 Jul 29;111(30):11085-90. doi: 10.1073/pnas.1402782111. Epub 2014 Jul 14.
10
The Amazon continuum dataset: quantitative metagenomic and metatranscriptomic inventories of the Amazon River plume, June 2010.亚马逊连续体数据集:2010 年 6 月亚马孙河羽流的定量宏基因组和宏转录组目录
Microbiome. 2014 May 15;2:17. doi: 10.1186/2049-2618-2-17. eCollection 2014.

亚马逊河羽流中元素循环基因的表达模式。

Expression patterns of elemental cycling genes in the Amazon River Plume.

作者信息

Satinsky Brandon M, Smith Christa B, Sharma Shalabh, Landa Marine, Medeiros Patricia M, Coles Victoria J, Yager Patricia L, Crump Byron C, Moran Mary Ann

机构信息

Department of Microbiology, University of Georgia, Athens, GA, USA.

Department of Marine Sciences, University of Georgia, Athens, GA, USA.

出版信息

ISME J. 2017 Aug;11(8):1852-1864. doi: 10.1038/ismej.2017.46. Epub 2017 Apr 7.

DOI:10.1038/ismej.2017.46
PMID:28387773
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5520034/
Abstract

Metatranscriptomics and metagenomics data sets benchmarked with internal standards were used to characterize the expression patterns for biogeochemically relevant bacterial and archaeal genes mediating carbon, nitrogen, phosphorus and sulfur uptake and metabolism through the salinity gradient of the Amazon River Plume. The genes were identified in 48 metatranscriptomic and metagenomic data sets summing to >500 million quality-controlled reads from six locations in the plume ecosystem. The ratio of transcripts per gene copy (a direct measure of expression made possible by internal standard additions) showed that the free-living bacteria and archaea exhibited only small changes in the expression levels of biogeochemically relevant genes through the salinity and nutrient zones of the plume. In contrast, the expression levels of genes in particle-associated cells varied over orders of magnitude among the stations, with the largest differences measured for genes mediating aspects of nitrogen cycling (nifH, amtB and amoA) and phosphorus acquisition (pstC, phoX and phoU). Taxa varied in their baseline gene expression levels and extent of regulation, and most of the spatial variation in the expression level could be attributed to changes in gene regulation after removing the effect of shifting taxonomic composition. We hypothesize that changes in microbial element cycling along the Amazon River Plume are largely driven by shifting activities of particle-associated cells, with most activities peaking in the mesohaline regions where N fixation rates are elevated.

摘要

以内部标准为基准的宏转录组学和宏基因组学数据集,被用于表征介导碳、氮、磷和硫摄取与代谢的生物地球化学相关细菌和古菌基因,在亚马逊河羽状物盐度梯度中的表达模式。这些基因在48个宏转录组学和宏基因组学数据集中被鉴定出来,这些数据集总计有来自羽状物生态系统六个位置的超过5亿条经过质量控制的读数。每个基因拷贝的转录本比率(通过添加内标实现的表达直接测量)表明,自由生活的细菌和古菌在羽状物的盐度和营养区域中,生物地球化学相关基因的表达水平仅发生了微小变化。相比之下,颗粒相关细胞中基因的表达水平在各站点间变化了几个数量级,其中介导氮循环(nifH、amtB和amoA)和磷获取(pstC、phoX和phoU)方面的基因差异最大。不同分类群的基线基因表达水平和调控程度各不相同,并且在去除分类组成变化的影响后,表达水平的大部分空间变化可归因于基因调控的变化。我们推测,沿亚马逊河羽状物的微生物元素循环变化很大程度上是由颗粒相关细胞活动的变化驱动的,大多数活动在固氮率升高的中盐度区域达到峰值。