猪粪原料沼气工程系统中的原核微生物群落结构

doi:10.3969/j.issn.0438-1157.2014.05.044

化工学报

猪粪原料沼气工程系统中的原核微生物群落结构

芮俊鹏¹, 李吉进², 李家宝¹, 王远鹏³, 柯蓝婷³, 张时恒¹, 李香真¹

1 中国科学院成都生物研究所, 中国科学院环境与应用微生物重点实验室, 环境微生物四川省重点实验室, 四川成都 610041;
2 北京市农林科学院植物营养与资源研究所, 北京 100097;
3 厦门大学化学化工学院化学工程与生物工程系, 福建厦门 361005

收稿日期:2013-12-25 修回日期:2014-01-28 出版日期:2014-05-05 发布日期:2014-05-05
通讯作者: 李香真
基金资助:
国家重点基础研究发展计划项目（2013CB733502）；国家自然科学基金项目（41301271，41271260）。

Prokaryotic community structures in biogas plants with swine manure

RUI Junpeng¹, LI Jijin², LI Jiabao¹, WANG Yuanpeng³, KE Lanting³, ZHANG Shiheng¹, LI Xiangzhen¹

1 Key Laboratory of Environmental and Applied Microbiology, CAS, Environmental Microbiology Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, Sichuan, China;
2 Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China;
3 Department of Chemical and Biochemical Engineering, School of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, Fujian, China

Received:2013-12-25 Revised:2014-01-28 Online:2014-05-05 Published:2014-05-05
Supported by:
supported by the National Basic Research Program of China (2013CB733502) and the National Natural Science Foundation of China (41301271, 41271260).

摘要/Abstract

摘要： 采集了中国不同地区的13个猪粪原料沼气工程系统的沼液，利用16S rRNA基因扩增子高通量测序技术研究了原核微生物群落组成及多样性。结果表明，Firmicutes是猪粪原料沼气工程系统中的主导微生物，其次为Bacteroidetes、Proteobacteria和Chloroflexi。在相似的温度条件下，铵态氮与磷酸盐的比例是影响猪粪原料沼气工程系统原核微生物群落结构及多样性的主要因素。较高的铵磷比会富集Firmicutes门的菌群，尤其是Clostridium sensu stricto属；而较低的铵磷比则有利于Bacteroidetes和Proteobacteria。不同营养类型产甲烷菌对高浓度铵态氮耐受程度不同（氢营养型产甲烷菌 >Methanosarcina >Methanosaeta），影响着产甲烷菌群落组成。产甲烷菌和互营菌的群落组成是影响沼气发酵产气效率的重要生物因素，高比例的氢型产甲烷菌和丙酸互营菌更有利于提高产甲烷效率。

关键词: 沼气工程, 猪粪, 16S rRNA扩增子高通量测序, 原核微生物群落, 生物反应器, 发酵, 甲烷

Abstract: Slurry samples from 13 industrial biogas plants using swine manure as raw substrate were collected from different regions in China. The prokaryotic community compositions were investigated using 16S rRNA amplicon high-throughput sequencing technique. The results showed that Firmicutes was the most abundant phylum in these biogas plants, followed by Bacteroidetes, Proteobacteria and Chloroflexi. The ratio of ammonium to phosphate was the main factor affecting prokaryotic community structure and diversity for similar temperatures and substrates. A high ratio of ammonium to phosphate enriched Firmicutes, especially the genus Clostridium sensu stricto, while Bacteroidetes and Proteobacteria preferred a low ratio. Ammonium influenced the compositions of methanogens since their tolerance degrees to ammonium were different (hydrogenotrophic methanoges > Methanosarcina > Methanosaeta). Community compositions of methanogens and syntrophs were the most important biotic factors affecting biogas production rate. Biogas production rate could be increased by increasing the abundances of hydrogenotrophic methanoges and syntrophic propionate-oxidizing bacteria.

Key words: biogas plants, swine manure, 16S rRNA amplicon high-throughput sequencing, prokaryotic community, bioreactors, fermentation, methane

中图分类号:

Q939.97

芮俊鹏, 李吉进, 李家宝, 王远鹏, 柯蓝婷, 张时恒, 李香真. 猪粪原料沼气工程系统中的原核微生物群落结构[J]. 化工学报, DOI: 10.3969/j.issn.0438-1157.2014.05.044.

RUI Junpeng, LI Jijin, LI Jiabao, WANG Yuanpeng, KE Lanting, ZHANG Shiheng, LI Xiangzhen. Prokaryotic community structures in biogas plants with swine manure[J]. CIESC Journal, DOI: 10.3969/j.issn.0438-1157.2014.05.044.

参考文献 24

[1]	Schink B. Energetics of syntrophic cooperation in methanogenic degradation[J]. Microbiology and Molecular Biology Reviews, 1997, 61(2): 262-280
[2]	Hanreich A, Schimpf U, Zakrzewski M, Schluter A, Benndorf D, Heyer R, Rapp E, Puhler A, Reichl U, Klocke M. Metagenome and metaproteome analyses of microbial communities in mesophilic biogas-producing anaerobic batch fermentations indicate concerted plant carbohydrate degradation[J]. Systematic and Applied Microbiology, 2013, 36(5): 330-338
[3]	Nelson M C, Morrison M, Yu Z T. A meta-analysis of the microbial diversity observed in anaerobic digesters[J]. Bioresource Technology, 2011, 102(4): 3730-3739
[4]	Sundberg C, Al-Soud W A, Larsson M, Alm E, Yekta S S, Svensson B H, Sorensen S J, Karlsson A. 454 pyrosequencing analyses of bacterial and archaeal richness in 21 full-scale biogas digesters[J]. FEMS Microbiology Ecology, 2013, 85(3): 612-626
[5]	State Environmental Protection Administration of Water and Wastewater Monitoring Analysis Method Editorial Board(国家环境保护总局水和废水监测分析方法编委会). Water and Wastewater Monitoring and Analysis Methods(水和废水监测分析方法)[M]. Beijing: China Environmental Science Press, 2002
[6]	Rademacher A, Zakrzewski M, Schluter A, Schonberg M, Szczepanowski R, Goesmann A, Puhler A, Klocke M. Characterization of microbial biofilms in a thermophilic biogas system by high-throughput metagenome sequencing[J]. FEMS Microbiol. Ecol., 2012, 79(3): 785-799
[7]	Zhu D, Chen H A, Wu N, Wang Y F, Luo P. Winter methane emission from an alpine open fen on Tibetan Plateau[J]. Polish Journal of Ecology, 2011, 59(1): 93-100
[8]	Walters W A, Caporaso J G, Lauber C L, Berg-Lyons D, Fierer N, Knight R. Primer prospector: de novo design and taxonomic analysis of barcoded polymerase chain reaction primers[J]. Bioinformatics, 2011, 27(8): 1159-1161
[9]	Liu Z Z, Lozupone C, Hamady M, Bushman F D, Knight R. Short pyrosequencing reads suffice for accurate microbial community analysis[J]. Nucleic Acids Research, 2007, 35(18): e120
[10]	Peiffer J A, Spor A, Koren O, Jin Z, Tringe S G, Dangl J L, Buckler E S, Ley R E. Diversity and heritability of the maize rhizosphere microbiome under field conditions[J]. Proceedings of the National Academy of Sciences of the United States of America, 2013, 110(16): 6548-6553
[11]	Caporaso J G, Lauber C L, Walters W A, Berg-Lyons D, Lozupone C A, Turnbaugh P J, Fierer N, Knight R. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample[J]. Proceedings of the National Academy of Sciences of the United States of America, 2011, 108: 4516-4522
[12]	Caporaso J G, Kuczynski J, Stombaugh J, Bittinger K, Bushman F D, Costello E K, Fierer N, Pena A G, Goodrich J K, Gordon J I, Huttley G A, Kelley S T, Knights D, Koenig J E, Ley R E, Lozupone C A, Mcdonald D, Muegge B D, Pirrung M, Reeder J, Sevinsky J R, Tumbaugh P J, Walters W A, Widmann J, Yatsunenko T, Zaneveld J, Knight R. QIIME allows analysis of high-throughput community sequencing data[J]. Nature Methods, 2010, 7(5): 335-336
[13]	Edgar R C, Haas B J, Clemente J C, Quince C, Knight R. UCHIME improves sensitivity and speed of chimera detection[J]. Bioinformatics, 2011, 27(16): 2194-2000
[14]	Edgar R C. Search and clustering orders of magnitude faster than BLAST[J]. Bioinformatics, 2010, 26(19): 2460-2461
[15]	Borcard D, Legendre P, Drapeau P. Partialling out the spatial component of ecological variation[J]. Ecology, 1992, 73(3): 1045- 1055
[16]	Karakashev D, Batstone D J, Angelidaki I. Influence of environmental conditions on methanogenic compositions in anaerobic biogas reactors[J]. Applied and Environmental Microbiology, 2005, 71(1): 331-338
[17]	Sprott G D, Patel G B. Ammonia toxicity in pure cultures of methanogenic bacteria[J]. Systematic and Applied Microbiology, 1986, 7(2/3): 358-363
[18]	Mcinerney M J, Bryant M P, Hespell R B, Costerton J W. Syntrophomonas wolfei gen. nov., sp. nov., an anaerobic, syntrophic, fatty-acid oxidizing bacterium[J]. Applied and Environmental Microbiology, 1981, 41(4): 1029-1039
[19]	Imachi H, Sekiguchi Y, Kamagata Y, Hanada S, Ohashi A, Harada H. Pelotomaculum thermopropionicum gen. nov., sp nov., an anaerobic, thermophilic, syntrophic propionate-oxidizing bacterium[J]. International Journal of Systematic and Evolutionary Microbiology, 2002, 52: 1729-1735
[20]	Mountfort D O, Brulla W J, Krumholz L R, Bryant M P. Syntrophus buswellii gen. nov., sp. nov.: a benzoate catabolizer from methanogenic ecosystems[J]. International Journal of Systematic Bacteriology, 1984, 34(2): 216-217
[21]	Qiu Y L, Hanada S, Ohashi A, Harada H, Kamagata Y, Sekiguchi Y. Syntrophorhabdus aromaticivorans gen. nov., sp nov., the first cultured anaerobe capable of degrading phenol to acetate in obligate syntrophic associations with a hydrogenotrophic methanogen[J]. Applied and Environmental Microbiology, 2008, 74(7): 2051-2058
[22]	Westerholm M, Roos S, Schnurer A. Syntrophaceticus schinkii gen. nov., sp. nov., an anaerobic, syntrophic acetate-oxidizing bacterium isolated from a mesophilic anaerobic filter[J]. FEMS Microbiology Letters, 2010, 309(1): 100-104
[23]	De Bok Fa M, Stams A J M, Dijkema C, Boone D R. Pathway of propionate oxidation by a syntrophic culture of Smithella propionica and Methanospirillum hungatei[J]. Applied and Environmental Microbiology, 2001, 67(4): 1800-1804
[24]	Stams A J M. Metabolic interactions between anaerobic-bacteria in methanogenic environments[J]. Antonie van Leeuwenhoek International Journal of General and Molecular Microbiology, 1994, 66(1/2/3): 271-294

猪粪原料沼气工程系统中的原核微生物群落结构

Prokaryotic community structures in biogas plants with swine manure

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献 24

相关文章 15

编辑推荐

Metrics

本文评价

[1]	牛超, 沈胜强, 杨艳, 潘泊年, 李熠桥. 甲烷BOG喷射器流动过程计算与性能分析[J]. 化工学报, 2023, 74(7): 2858-2868.
[2]	刘晓洋, 喻健良, 侯玉洁, 闫兴清, 张振华, 吕先舒. 螺旋微通道对掺氢甲烷爆轰传播的影响[J]. 化工学报, 2023, 74(7): 3139-3148.
[3]	周小文, 杜杰, 张战国, 许光文. 基于甲烷脉冲法的Fe₂O₃-Al₂O₃载氧体还原特性研究[J]. 化工学报, 2023, 74(6): 2611-2623.
[4]	高学金, 姚玉卓, 韩华云, 齐咏生. 基于注意力动态卷积自编码器的发酵过程故障监测[J]. 化工学报, 2023, 74(6): 2503-2521.
[5]	张兰河, 赖青燚, 王铁铮, 关潇卓, 张明爽, 程欣, 徐小惠, 贾艳萍. H₂O₂对SBR脱氮效率和污泥性能的影响[J]. 化工学报, 2023, 74(5): 2186-2196.
[6]	胡晗, 杨亮, 李春晓, 刘道平. 天然烟浸滤液水合物法储甲烷动力学研究[J]. 化工学报, 2023, 74(3): 1313-1321.
[7]	彭晓婉, 郭笑楠, 邓春, 刘蓓, 孙长宇, 陈光进. ZIF-8浆液法分离CH₄/N₂的双吸收-吸附塔工艺流程建模与模拟[J]. 化工学报, 2023, 74(2): 784-795.
[8]	廖珊珊, 张少刚, 陶骏骏, 刘家豪, 汪金辉. 竖直射流火撞击障碍管道数值模拟分析[J]. 化工学报, 2022, 73(9): 4226-4234.
[9]	沈嘉辉, 王侃宏, 郁达伟, 胡大洲, 魏源送. 游离氨调理污泥厌氧消化优化产甲烷过程与强化有机物释放[J]. 化工学报, 2022, 73(9): 4147-4155.
[10]	王悦琳, 晁伟, 蓝晓程, 莫志朋, 佟淑环, 王铁峰. 合成气生物发酵法制乙醇的研究进展[J]. 化工学报, 2022, 73(8): 3448-3460.
[11]	万景, 张霖, 樊亚超, 刘勰民, 骆培成, 张锋, 张志炳. 基于介尺度PBM模型的生物反应器放大模拟及实验研究[J]. 化工学报, 2022, 73(6): 2698-2707.
[12]	唐翠萍, 张雅楠, 梁德青, 李祥. 聚乙烯己内酰胺链端改性及其对甲烷水合物形成的抑制作用研究[J]. 化工学报, 2022, 73(5): 2130-2139.
[13]	童海航, 石德智, 刘嘉宇, 蔡桦伊, 罗丹, 陈飞. 金属纳米颗粒辅助木质纤维素暗发酵生物制氢的研究进展[J]. 化工学报, 2022, 73(4): 1417-1435.
[14]	高学金, 何紫鹤, 高慧慧, 齐咏生. 基于联合典型变量矩阵的多阶段发酵过程质量相关故障监测[J]. 化工学报, 2022, 73(3): 1300-1314.
[15]	闫帅, 杨家宝, 龚岩, 郭庆华, 于广锁. CO₂稀释对甲烷反扩散火焰结构的影响研究[J]. 化工学报, 2022, 73(3): 1335-1342.