Synthetic Biology Journal ›› 2023, Vol. 4 ›› Issue (6): 1055-1081.DOI: 10.12211/2096-8280.2023-046
• Invited Review • Previous Articles Next Articles
Yan XIAO1,2,3,4, Yajun LIU1,2,3,4, Yin′gang FENG1,2,3,4, Qiu CUI1,2,3,4
Received:
2023-07-02
Revised:
2023-09-22
Online:
2024-01-19
Published:
2023-12-31
Contact:
Yin′gang FENG, Qiu CUI
肖艳1,2,3,4, 刘亚君1,2,3,4, 冯银刚1,2,3,4, 崔球1,2,3,4
通讯作者:
冯银刚,崔球
作者简介:
基金资助:
CLC Number:
Yan XIAO, Yajun LIU, Yin′gang FENG, Qiu CUI. Progress in synthetic biology research of Clostridium thermocellum for biomass energy applications[J]. Synthetic Biology Journal, 2023, 4(6): 1055-1081.
肖艳, 刘亚君, 冯银刚, 崔球. 热纤梭菌在生物质能源开发中的合成生物学研究进展[J]. 合成生物学, 2023, 4(6): 1055-1081.
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URL: https://synbioj.cip.com.cn/EN/10.12211/2096-8280.2023-046
热纤梭菌菌株 | 主要方法 | 研究内容、结果或结论 | 年份 | 文献 |
---|---|---|---|---|
F7 (VKMB 2203) | 蛋白质组 | 在热纤梭菌基因组草图中发现了超过71个编码纤维小体蛋白的基因;蛋白质组鉴定了纤维小体中含量较高的13个组分 | 2005 | [ |
ATCC 27405 | 转录组 | 建立了有效的微阵列方法用于热纤梭菌的转录组研究 | 2007 | [ |
ATCC 27405 | 蛋白质组 | 多通过蛋白质组分析了热纤梭菌纤维小体的组分以及在纤维素和二糖上生长时的变化 | 2007 | [ |
ATCC 27405 | 构建代谢模型 | 构建了基因组尺度代谢模型iSR432,包含了577个反应 | 2010 | [ |
DSM 1313 | 基因组 | 热纤梭菌DSM1313基因组测序结果 | 2011 | [ |
ATCC 27405 | 转录组 | 对比纤维素和纤维二糖稳态培养的基因表达对比分析。3189个基因中检测到2846个,分析了底物依赖的基因表达变化 | 2011 | [ |
ATCC 27405 | 转录组 | 在稀酸预处理的杨树和柳枝稷上生长的不同时间(12 h和37 h)的热纤梭菌的基因转录 | 2013 | [ |
DSM 1313 | 代谢组 | 高纤维素载量(50~100 g/L)下的热纤梭菌胞外代谢产物分析 | 2014 | [ |
ATCC 27405 | 通过机器学习预测转录单元 | 根据转录组数据,使用机器学习方法预测了2590个转录单元,44%有多基因 | 2015 | [ |
DSM 1313突变株 | 转录组,蛋白质组 | 在热纤梭菌中敲除不同脚架蛋白后,检测热纤梭菌的各种基因表达变化,揭示各种脚架蛋白的重要性以及与其他基因之间的耦联关系 | 2016 | [ |
ATCC 27405 | 转录组,代谢组,蛋白质组 | 稀酸预处理的柳枝稷上生长的不同时间下三种组学的情况,分析在降解过程中抑制物造成的代谢变化 | 2017 | [ |
DSM 1313 | 构建代谢模型 | 建立基因组尺度代谢模型iCth446,并在此基础上构建了核心代谢动力学模型k-ctherm118 | 2017 | [ |
ATCC 27405 | 转录组,蛋白质组 | 分析了纤维素附着细胞和游动细胞的基因表达和蛋白差异 | 2017 | [ |
DSM1313 Δhpt ΔhydG Δldh Δpfl Δpta-ack | 转录组,代谢组 | 分析了当时已知的产乙醇最高的菌株在不同pH稳态培养下的代谢物和基因表达变化 | 2018 | [ |
KJ335(整合了木糖利用基因的工程菌株,来自DSM 1313) | 转录组 | 分析了木糖利用工程菌株的在木糖和纤维二糖上的转录组差异,揭示了木糖的转运与代谢相关基因以及热纤梭菌趋化与运动相关基因的表达变化 | 2020 | [ |
DSM 1313 | 代谢流分析、构建动力学模型 | 基于代谢流分析建立核心代谢动力学模型k-ctherm138,鉴定了限制乙醇生产的67种底物水平抑制机制 | 2022 | [ |
DSM 1313 | 构建代谢模型 | 构建基因组尺度代谢模型iCTH669,包含了913个代谢反应,837种代谢物,669个基因,模型的可靠性得到巨大的提升 | 2023 | [ |
Table 1 Representative studies of systematic biology of C. thermocellum
热纤梭菌菌株 | 主要方法 | 研究内容、结果或结论 | 年份 | 文献 |
---|---|---|---|---|
F7 (VKMB 2203) | 蛋白质组 | 在热纤梭菌基因组草图中发现了超过71个编码纤维小体蛋白的基因;蛋白质组鉴定了纤维小体中含量较高的13个组分 | 2005 | [ |
ATCC 27405 | 转录组 | 建立了有效的微阵列方法用于热纤梭菌的转录组研究 | 2007 | [ |
ATCC 27405 | 蛋白质组 | 多通过蛋白质组分析了热纤梭菌纤维小体的组分以及在纤维素和二糖上生长时的变化 | 2007 | [ |
ATCC 27405 | 构建代谢模型 | 构建了基因组尺度代谢模型iSR432,包含了577个反应 | 2010 | [ |
DSM 1313 | 基因组 | 热纤梭菌DSM1313基因组测序结果 | 2011 | [ |
ATCC 27405 | 转录组 | 对比纤维素和纤维二糖稳态培养的基因表达对比分析。3189个基因中检测到2846个,分析了底物依赖的基因表达变化 | 2011 | [ |
ATCC 27405 | 转录组 | 在稀酸预处理的杨树和柳枝稷上生长的不同时间(12 h和37 h)的热纤梭菌的基因转录 | 2013 | [ |
DSM 1313 | 代谢组 | 高纤维素载量(50~100 g/L)下的热纤梭菌胞外代谢产物分析 | 2014 | [ |
ATCC 27405 | 通过机器学习预测转录单元 | 根据转录组数据,使用机器学习方法预测了2590个转录单元,44%有多基因 | 2015 | [ |
DSM 1313突变株 | 转录组,蛋白质组 | 在热纤梭菌中敲除不同脚架蛋白后,检测热纤梭菌的各种基因表达变化,揭示各种脚架蛋白的重要性以及与其他基因之间的耦联关系 | 2016 | [ |
ATCC 27405 | 转录组,代谢组,蛋白质组 | 稀酸预处理的柳枝稷上生长的不同时间下三种组学的情况,分析在降解过程中抑制物造成的代谢变化 | 2017 | [ |
DSM 1313 | 构建代谢模型 | 建立基因组尺度代谢模型iCth446,并在此基础上构建了核心代谢动力学模型k-ctherm118 | 2017 | [ |
ATCC 27405 | 转录组,蛋白质组 | 分析了纤维素附着细胞和游动细胞的基因表达和蛋白差异 | 2017 | [ |
DSM1313 Δhpt ΔhydG Δldh Δpfl Δpta-ack | 转录组,代谢组 | 分析了当时已知的产乙醇最高的菌株在不同pH稳态培养下的代谢物和基因表达变化 | 2018 | [ |
KJ335(整合了木糖利用基因的工程菌株,来自DSM 1313) | 转录组 | 分析了木糖利用工程菌株的在木糖和纤维二糖上的转录组差异,揭示了木糖的转运与代谢相关基因以及热纤梭菌趋化与运动相关基因的表达变化 | 2020 | [ |
DSM 1313 | 代谢流分析、构建动力学模型 | 基于代谢流分析建立核心代谢动力学模型k-ctherm138,鉴定了限制乙醇生产的67种底物水平抑制机制 | 2022 | [ |
DSM 1313 | 构建代谢模型 | 构建基因组尺度代谢模型iCTH669,包含了913个代谢反应,837种代谢物,669个基因,模型的可靠性得到巨大的提升 | 2023 | [ |
Fig. 3 Genetic modification technology of C. thermocellum(EBS1, EBS12, IBS1and IBS2 are DNA recognition sequences; SpeI, BsiWI are restriction cleavage sites; cat is the resistance gene to chloramphenicol and thiamphenicol; tdk is the marker used for counterselection with FUDR; hpt is the marker used for counterselection with 8AZH; HR-up is the upstream sequence of target gene; HR-down is the downstream sequence of target gene; HR-short is the upstream or downstream sequence of target gene; int is partial sequence of target gene.)
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