Glycine betaine uptake and metabolism in marine microbial communities.
Glycine betaine uptake and metabolism in marine microbial communities.
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DOI：
10.1111/1462-2920.16020
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发表时间：
2022-05
影响因子：
5.1
通讯作者：
Ingalls, Anitra E.
中科院分区：
文献类型：
--
作者：
Boysen, Angela K.;Durham, Bryndan P.;Kumler, William;Key, Rebecca S.;Heal, Katherine R.;Carlson, Laura T.;Groussman, Ryan D.;Armbrust, E. Virginia;Ingalls, Anitra E.
甘氨酸甜菜碱（GBT）是一种高浓度的海洋微生物相容性溶质。作为一种不稳定有机物的组成部分，GBT作为微生物利用的底物具有复杂的生化潜力，在环境中不受限制。在这里，我们确定了北太平洋两个以不同硝酸盐浓度为特征的天然微生物群落中GBT的吸收动力学和代谢命运。在高硝酸盐站和低硝酸盐站，溶解GBT的最大吸收率分别为0.36和0.56 nM h - 1，半饱和常数分别为79和11 nM。在多日的孵育过程中，大多数进入细胞的GBT作为相容溶质被保留。从添加的GBT中提取的稳定同位素也在其他代谢物中观察到，包括choline， carnitine和sarcos，这表明GBT用于生物合成和分解代谢丙酮酸和铵。在硝酸盐缺乏的地方，GBT主要通过去甲基化代谢为甘氨酸。基因转录数据与SAR11一致，使用GBT作为甲基源来促进蛋氨酸循环。当硝酸盐浓度较高时，更多的GBT被细菌和真核浮游植物分配用于脂质生物合成。我们的数据突出了意想不到的代谢途径和潜在的微生物代谢物交换途径。
Glycine betaine (GBT) is a compatible solute in high concentrations in marine microorganisms. As a component of labile organic matter, GBT has complex biochemical potential as a substrate for microbial use that is unconstrained in the environment. Here we determine the uptake kinetics and metabolic fate of GBT in two natural microbial communities in the North Pacific characterized by different nitrate concentrations. Dissolved GBT had maximum uptake rates of 0.36 and 0.56 nM h−1 with half‐saturation constants of 79 and 11 nM in the high nitrate and low nitrate stations respectively. During multiday incubations, most GBT taken into cells was retained as a compatible solute. Stable isotopes derived from the added GBT were also observed in other metabolites, including choline, carnitine and sarcosine, suggesting that GBT was used for biosynthesis and for catabolism to pyruvate and ammonium. Where nitrate was scarce, GBT was primarily metabolized via demethylation to glycine. Gene transcript data were consistent with SAR11 using GBT as a source of methyl groups to fuel the methionine cycle. Where nitrate concentrations were higher, more GBT was partitioned for lipid biosynthesis by both bacteria and eukaryotic phytoplankton. Our data highlight unexpected metabolic pathways and potential routes of microbial metabolite exchange.
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影响因子：
11
作者：
Carini, Paul;Steindler, Laura;Giovannoni, Stephen J.
通讯作者：
Giovannoni, Stephen J.
影响因子：
64.8
作者：
Browning, Thomas J.;Achterberg, Eric P.;Moore, C. Mark
通讯作者：
Moore, C. Mark
影响因子：
6.4
作者：
Boysen AK;Carlson LT;Durham BP;Groussman RD;Aylward FO;Ribalet F;Heal KR;White AE;DeLong EF;Armbrust EV;Ingalls AE
通讯作者：
Ingalls AE
DOI：
10.1093/bioinformatics/btp348
发表时间：
2009-08-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Capella-Gutiérrez S;Silla-Martínez JM;Gabaldón T
通讯作者：
Gabaldón T
影响因子：
28.3
作者：
Curson, Andrew R. J.;Williams, Beth T.;Todd, Jonathan D.
通讯作者：
Todd, Jonathan D.