کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11024659 1701097 2018 63 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integrating genome-scale metabolic models into the prediction of microbial kinetics in natural environments
ترجمه فارسی عنوان
ادغام مدل های متابولیکی در مقیاس ژنوم به پیش بینی سینتیک های میکروبی در محیط های طبیعی
کلمات کلیدی
مدل متابولیکی در مقیاس ژنوم، مدلسازی واکنش بیوگرافی شیمیایی، سینتیک میکروبی، تجزیه و تحلیل تعادل شار محدودیت تغذیه ای، متانوژنز،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات ژئوشیمی و پترولوژی
چکیده انگلیسی
We propose a new method to predict microbial metabolic rates in natural environments using genome-scale metabolic models. This method is a hybrid of existing approaches, i.e., rate laws and flux balance analysis (FBA). It accounts for the availabilities of chemical energy and growth nutrients in the environment, and applies FBA independently to the respiration and biosynthesis pathways of genome-scale metabolic models. We illustrate the new method by modeling the metabolism of a representative methanogen - Methanosarcina barkeri - in laboratory reactors and in pristine and biostimulated aquifers. The laboratory application demonstrates that the hybrid method predicts the rates of individual biochemical reactions within overall cell metabolism and tracks, explicitly, cellular fluxes of carbon and energy. The aquifer applications reveal that the growth of methanogens in natural systems can be limited by multiple factors, including energy sources and growth nutrients, and that the limitations are subject to Liebig's Law of the Minimum. These results highlight the improvements of the new method in biogeochemical reaction modeling, including its applicability to diverse environments, from eutrophic to oligotrophic.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Geochimica et Cosmochimica Acta - Volume 242, 1 December 2018, Pages 102-122
نویسندگان
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