Biotechnology Bulletin ›› 2021, Vol. 37 ›› Issue (1): 90-101.doi: 10.13560/j.cnki.biotech.bull.1985.2020-1217
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LI Ye-qing1(), JING Zhang-mu1, JIANG Hao1, XU Quan1, ZHOU Hong-jun1, FENG Lu2()
Received:
2020-09-27
Online:
2021-01-26
Published:
2021-01-15
Contact:
FENG Lu
E-mail:liyeqingcup@126.com;lufeng@eng.au.dk
LI Ye-qing, JING Zhang-mu, JIANG Hao, XU Quan, ZHOU Hong-jun, FENG Lu. Microbiome and Its Research Progress of Anaerobic Digestion[J]. Biotechnology Bulletin, 2021, 37(1): 90-101.
技术 | 优势 | 缺点 | 主要应用 | 参考文献 |
---|---|---|---|---|
16S rRNA基因组学 | 快速、经济的鉴定细菌和古菌 | 受到保守标记基因的限制; 病毒不能被鉴定 | 物种分类研究;系统功能猜测 | [7,20,29-35] |
宏基因组学 | 不受保守标记基因的限制;可以基因组重组获得新的物种信息 | 因需要组装,Read数量要求巨大;测序周期长 | 物种分类和系统发育学研究;代谢通路潜力研究;抗性基因、病原体检测 | [36-41] |
宏转录组学 | 鉴定活跃的、真正对群落有贡献的基因和通路 | mRNA半衰期短,不稳定;多重的净化和扩增导致误差 | 代谢活性检测;代谢通路表达研究 | [24-25,42] |
蛋白组学 | 为代谢活动提供最直接的证据 | 难以提取合适的蛋白质部分进行分析;测试被核酸干扰,易产生误差 | 新功能基因筛选;代谢通路表达研究;环境质量动态监测;生物标记物筛选 | [27-28,43-45] |
技术 | 优势 | 缺点 | 主要应用 | 参考文献 |
---|---|---|---|---|
16S rRNA基因组学 | 快速、经济的鉴定细菌和古菌 | 受到保守标记基因的限制; 病毒不能被鉴定 | 物种分类研究;系统功能猜测 | [7,20,29-35] |
宏基因组学 | 不受保守标记基因的限制;可以基因组重组获得新的物种信息 | 因需要组装,Read数量要求巨大;测序周期长 | 物种分类和系统发育学研究;代谢通路潜力研究;抗性基因、病原体检测 | [36-41] |
宏转录组学 | 鉴定活跃的、真正对群落有贡献的基因和通路 | mRNA半衰期短,不稳定;多重的净化和扩增导致误差 | 代谢活性检测;代谢通路表达研究 | [24-25,42] |
蛋白组学 | 为代谢活动提供最直接的证据 | 难以提取合适的蛋白质部分进行分析;测试被核酸干扰,易产生误差 | 新功能基因筛选;代谢通路表达研究;环境质量动态监测;生物标记物筛选 | [27-28,43-45] |
指数 | 公式 | 符号意义 | 参考文献 |
---|---|---|---|
Chao1 | Schao1=Sobs+n1(n1-1)/2(n2+1) | Schao1 和 Sobs分别为估计和观察的 OTU数目;n1 和 n2分别是序列为1和2的OTU数目 | [32,36,51] |
ACE index | SACE= Sabund+Srare/CACE+n1/CACE·γ2ACE (当γACE <0.8) SACE= Sabund+Srare/CACE+n1/CACE·β2ACE (当γACE≥0.8) CACE=1-n1/Nrare $\text { Nrare }=\sum_{i=1}^{a b u n d} \mathrm{i} \cdot \mathrm{n}_{i}$ $ \gamma^{2}{ }^{2} \mathrm{ACE}==\max \left[\frac{S_{\text {rare }}}{C_{A C E}} \frac{\sum_{i=1}^{\text {abund }} i(i-1) n_{i}}{N_{\text {rare }}\left(N_{\text {rare }}-1\right)}-1,0\right]$ $ \beta_{\mathrm{ACE}}^{2}=\max \left[\gamma_{\mathrm{ACE}}^{2}\left\{1+\frac{\mathrm{N}_{\mathrm{rare}}\left(1-\mathrm{C}_{\mathrm{ACE}}\right) \sum_{\mathrm{i}=1}^{\mathrm{abund}} \mathrm{i}(\mathrm{i}-1) \mathrm{n}_{\mathrm{i}}}{\mathrm{N}_{\mathrm{rare}}\left(\mathrm{N}_{\mathrm{rare}}-\mathrm{C}_{\mathrm{ACE}}\right)}\right\}, 0\right]$ | ni 是包含序列i的 OTU数目;Srare 是包含 “abund”条或更少序列的OTU的数量;Sabund是包含多于 “abund”条序列的OTU的数量;‘abund’ 是主要OTU的阈值 | [51] |
Shannon- Wiener index | $ \mathrm{H}_{\text {shannon }}=-\sum_{i=1}^{S_{\text {ols }}} \frac{n_{i}}{N} \ln \frac{n_{i}}{N}$ | Sobs是实际观察OTU数;ni是第i个OTU的序列数;N是序列的总数。 n1 是序列1的OTU数目;N 是总的序列数 | [31-32,35-36] |
Simpson index | $ \mathrm{D}_{\text {simpson }}=\frac{\sum_{i=1}^{S_{\text {obs }}} n_{i}\left(n_{i}-1\right)}{N(N-1)}$ | Sobs是实际观察OTU数;ni是第i个OTU的序列数;N是序列的总数 | [31,51,54] |
Good’s coverage | C=1-n1/N | n1 是序列1的OTU数目;N 是总的序列数 | [51] |
指数 | 公式 | 符号意义 | 参考文献 |
---|---|---|---|
Chao1 | Schao1=Sobs+n1(n1-1)/2(n2+1) | Schao1 和 Sobs分别为估计和观察的 OTU数目;n1 和 n2分别是序列为1和2的OTU数目 | [32,36,51] |
ACE index | SACE= Sabund+Srare/CACE+n1/CACE·γ2ACE (当γACE <0.8) SACE= Sabund+Srare/CACE+n1/CACE·β2ACE (当γACE≥0.8) CACE=1-n1/Nrare $\text { Nrare }=\sum_{i=1}^{a b u n d} \mathrm{i} \cdot \mathrm{n}_{i}$ $ \gamma^{2}{ }^{2} \mathrm{ACE}==\max \left[\frac{S_{\text {rare }}}{C_{A C E}} \frac{\sum_{i=1}^{\text {abund }} i(i-1) n_{i}}{N_{\text {rare }}\left(N_{\text {rare }}-1\right)}-1,0\right]$ $ \beta_{\mathrm{ACE}}^{2}=\max \left[\gamma_{\mathrm{ACE}}^{2}\left\{1+\frac{\mathrm{N}_{\mathrm{rare}}\left(1-\mathrm{C}_{\mathrm{ACE}}\right) \sum_{\mathrm{i}=1}^{\mathrm{abund}} \mathrm{i}(\mathrm{i}-1) \mathrm{n}_{\mathrm{i}}}{\mathrm{N}_{\mathrm{rare}}\left(\mathrm{N}_{\mathrm{rare}}-\mathrm{C}_{\mathrm{ACE}}\right)}\right\}, 0\right]$ | ni 是包含序列i的 OTU数目;Srare 是包含 “abund”条或更少序列的OTU的数量;Sabund是包含多于 “abund”条序列的OTU的数量;‘abund’ 是主要OTU的阈值 | [51] |
Shannon- Wiener index | $ \mathrm{H}_{\text {shannon }}=-\sum_{i=1}^{S_{\text {ols }}} \frac{n_{i}}{N} \ln \frac{n_{i}}{N}$ | Sobs是实际观察OTU数;ni是第i个OTU的序列数;N是序列的总数。 n1 是序列1的OTU数目;N 是总的序列数 | [31-32,35-36] |
Simpson index | $ \mathrm{D}_{\text {simpson }}=\frac{\sum_{i=1}^{S_{\text {obs }}} n_{i}\left(n_{i}-1\right)}{N(N-1)}$ | Sobs是实际观察OTU数;ni是第i个OTU的序列数;N是序列的总数 | [31,51,54] |
Good’s coverage | C=1-n1/N | n1 是序列1的OTU数目;N 是总的序列数 | [51] |
[1] | Oladejo J, Shi KQ, Luo X, et al. A review of sludge-to-energy recovery methods[J]. Energies, 2019,12(1):38. |
[2] | Shyanmala M, Satpal S. Sustainable municipal solid waste management in India:A policy agenda[J]. Procedia Environmental Sciences, 2016,35:150-157. |
[3] | 张河民. 畜禽粪污厌氧消化研究进展[J]. 广东化工, 2019,46(19):117-118. |
Zhang HM. Advances in anaerobic digestion of livestock and poultry manure[J]. Guangdong Chemical Industry, 2019,46(19):117-118. | |
[4] | 张黎阳. 餐厨垃圾厌氧消化后沼渣的好氧堆肥优化研究[D]. 杭州:浙江大学, 2020. |
Zhang LY. Study on optimization of compost of food waste anaerobic digestion residue[D]. Hangzhou:Zhejiang University, 2020. | |
[5] | 周旭健. 沼气/生物天然气产业的发展和前景评述[J]. 浙江农业科学, 2019,60(12):2300-2303. |
Zhou XJ. Review on the development and prospect of biogas industry[J]. Zhejiang Agricultural Sciences, 2019,60(12):2300-2303. | |
[6] | Kirkegaard RH, Mcilroy SJ, Kristensen JM. et al. The impact of immigration on microbial community composition in full-scale anaerobic digesters[J]. Sci Rep, 2017,7(1):9343. |
[7] | Jeffrey JW, Dan K, Marcelo LG, et al. Bacterial community structures are unique and resilient in full-scale bioenergy systems[J]. P Natl A Sci India B, 2011,108(10):4158-4163. |
[8] | Carballa M, Regueiro L, Lema JM, et al. Microbial management of anaerobic digestion:exploiting the microbiome-functionality nexus[J]. Curr Opin Biotech, 2015,33:103-111. |
[9] | Mcfarland M. Biosolids engineering[M]. NewYork:McGraw-Hill, 2000. |
[10] | Zhao ZQ, Li Y, Quan X, et al. New application of ethanol-type fermentation:stimulating methanogenic communities with ethanol to perform direct interspecies electron transfer[J]. ACS Sustain Chem Eng, 2017,5(10):9441-9453. |
[11] | Llaurado JG. Biosolids treatment processes:handbook of environmental engineering[J]. Management of Environmental Quality, 2008,19(3):402-405. |
[12] | Rao PV, Baral SS, Dey R, et al. Biogas generation potential by anaerobic digestion for sustainable energy development in India[J]. Renew Sust Energ Rev, 2010,14(7):2086-2094. |
[13] | Adams MWW, Maier RJ, Wiegel J. Incredible anaerobes:from physiology to genomics to fuels[M]. Boston:Blackwell, 2008. |
[14] |
Christian A, Cristina V, Thomas G, et al. Eubacteria and archaea communities in seven mesophile anaerobic digester plants in Germany[J]. Biotechnol Biofuels, 2015,8:87
doi: 10.1186/s13068-015-0271-6 URL pmid: 26097504 |
[15] | Xu R, Yang ZH, Zheng Y, et al. Metagenomic analysis reveals the effects of long-term antibiotic pressure on sludge anaerobic digestion and antimicrobial resistance risk[J]. Bioresource Technol, 2019,282:179-188. |
[16] | He S, Kunin V, Haynes M, et al. Metatranscriptomic array analysis of candidatus accumulibacter phosphatis’-enriched enhanced biological phosphorus removal sludge[J]. Environ Microbiol, 2010,12(5):1205-1217. |
[17] | 余泽晖, 梁志伟, 李浩聪, 等. 厌氧消化污泥微生物组研究方法及应用[J]. 微生物学通报, 2019,46(8):2053-2068. |
Yu ZH, Liang ZY, Li CH, et al. Research methods and application of anaerobic digestion sludge microbiome[J]. Microbiol China, 2019,46(8):2053-2068. | |
[18] |
Vanwonterghem I, Jensen PD, Ho DP, et al. Linking microbial community structure, interactions and function in anaerobic digesters using new molecular techniques[J]. Curr Opin Biotech, 2014,27:55-64.
doi: 10.1016/j.copbio.2013.11.004 URL pmid: 24863897 |
[19] | Ju F, Zhang T. Bacterial assembly and temporal dynamics in activated sludge of a full-scale municipal wastewater treatment plant[J]. ISME J, 2015,9(3):683-695. |
[20] | Lee SH, Kang HJ, Lee YH, et al. Monitoring bacterial community structure and variability in time scale in full-scale anaerobic digesters[J]. J Environ Monitor, 2012,14(7):1893-1905. |
[21] |
Logares R, Sunagawa S, Salazar G, et al. Metagenomic 16S rDNA Illumina tags are a powerful alternative to amplicon sequencing to explore diversity and structure of microbial communities[J]. Environ Microbiol, 2014,16(9):2659-2671.
doi: 10.1111/1462-2920.12250 URL pmid: 24102695 |
[22] | Simon C, Daniel R. Metagenomic analyses:Past and future trends[J]. Appl Environ Microbiol, 2011,77(4):1153-1161. |
[23] |
Sorek R, Cossart P. Prokaryotic transcriptomics:a new view on regulation, physiology and pathogenicity[J]. Nat Rev Genet, 2010,11(1):9-16.
URL pmid: 19935729 |
[24] |
Maus I, Koeck DE, Cibis KG, et al. Unraveling the microbiome of a thermophilic biogas plant by metagenome and metatranscriptome analysis complemented by characterization of bacterial and archaeal isolates[J]. Biotechnol Biofuels, 2016,9:171.
URL pmid: 27525040 |
[25] |
Wang T, Zhang D, Dai LL, et al. Magnetite triggering enhanced direct interspecies electron transfer:A scavenger for the blockage of electron transfer in anaerobic digestion of high-solids sewage sludge[J]. Environ Sci Technol, 2018,52(12):7160-7169.
URL pmid: 29782790 |
[26] |
Wilmes P, Bond PL. The application of two-dimensional polyacrylamide gel electrophoresis and downstream analyses to a mixed community of prokaryotic microorganisms[J]. Environ Microbiol, 2004,6(9):911-920.
doi: 10.1111/j.1462-2920.2004.00687.x URL pmid: 15305916 |
[27] | Wilmes P, Wexler M, Bond PL, et al. Metaproteomics provides functional insight into activated sludge wastewater treatment[J]. PLoS One 2008,3(3):1-11 e1778. |
[28] |
Jing YH, Wan JJ, Angelidaki I, et al. iTRAQ quantitative proteomic analysis reveals the pathways for methanation of propionate facilitated by magnetite[J]. Water Res, 2017,108:212-221.
doi: 10.1016/j.watres.2016.10.077 URL pmid: 27817893 |
[29] | Vanwonterghem I, Jensen PD, Dennis PG, et al. Deterministic processes guide long-term synchronised population dynamics in replicate anaerobic digesters[J]. ISME J, 2014,8(10):2015-2028. |
[30] |
Chen HH, Wan JJ, Chen KF, et al. Biogas production from hydrothermal liquefaction wastewater(HTLWW):Focusing on the microbial communities as revealed by high-throughput sequencing of full-length 16S rRNA genes[J]. Water Res, 2016,106:98-107.
doi: 10.1016/j.watres.2016.09.052 URL pmid: 27697689 |
[31] |
Ju F, Lau F, Zhang T, et al. Linking microbial community, environmental variables, and methanogenesis in anaerobic biogas digesters of chemically enhanced primary treatment sludge[J]. Environ Sci Technol, 2017,51(7):3982-3992.
URL pmid: 28240534 |
[32] | Li YQ, Wang ZX, Li T, et al. Changes in microbial community and methanogenesis during high-solid anaerobic digestion of ensiled corn stover[J]. J Clean Prod, 2020,242:13. |
[33] | Jiang Y, Dennehy C, Lawlor PG, et al. Exploring the roles of and interactions among microbes in dry co-digestion of food waste and pig manure using high-throughput 16S rRNA gene amplicon sequencing[J]. Biotechnol Biofuels, 2019,12(1):5. |
[34] | Shu D, He Y, Yue H, et al. Microbial structures and community functions of anaerobic sludge in six full-scale wastewater treatment plants as revealed by 454 high-throughput pyrosequencing[J]. Bioresource Technol, 2015,186:163-172. |
[35] | Li N, Xue YG, Chen SS, et al. Methanogenic population dynamics regulated by bacterial community responses to protein-rich organic wastes in a high solid anaerobic digester[J]. Chem Eng J, 2017,317:444-453. |
[36] | Campanaro S, Treu L, Kougias PG, et al. Metagenomic analysis and functional characterization of the biogas microbiome using high throughput shotgun sequencing and a novel binning strategy[J]. Biotechnol Biofuels, 2016,9:26. |
[37] | Treu L, Kougias PG, Campanaro S, et al. Deeper insight into the structure of the anaerobic digestion microbial community;the biogas microbiome database is expanded with 157 new genomes[J]. Bioresource Technol, 2016,216:260-266. |
[38] |
Campanaro S, Treu L, Kougias PG, et al. Metagenomic binning reveals the functional roles of core abundant microorganisms in twelve full-scale biogas plants[J]. Water Res, 2018,140:123-134.
URL pmid: 29704757 |
[39] |
Luo G, Li B, Li LG, et al. Antibiotic resistance genes and correlations with microbial community and metal resistance genes in full-scale biogas reactors as revealed by metagenomic analysis[J]. Environ Sci Technol, 2017,51(7):4069-4080.
doi: 10.1021/acs.est.6b05100 URL pmid: 28272884 |
[40] |
Solli L, Havelsrud OE, Horn SJ, et al. A metagenomic study of the microbial communities in four parallel biogas reactors[J]. Biotechnol Biofuels, 2014,7:146.
doi: 10.1186/s13068-014-0146-2 URL pmid: 25328537 |
[41] |
Nolla-Ardevol V, Peces M, Strous M, et al. Metagenome from a Spirulina digesting biogas reactor:analysis via binning of contigs and classification of short reads[J]. BMC Microbiology, 2015,15:16.
URL pmid: 25648224 |
[42] | 赵一全. 生物预处理秸秆对厌氧消化中微生物和产气量的影响[D]. 大庆:黑龙江八一农垦大学, 2019. |
Zhao YQ. Effect of biological pretreatment of stover on microbial and methane production in anaerobic digestion[D]. Daqing:Heilongjiang Bayi Agricultural Reclamation University, 2019. | |
[43] |
Schneider T, Riedel K. Environmental proteomics:Analysis of structure and function of microbial communities[J]. Proteomics, 2009,10(4):785-798.
doi: 10.1002/pmic.200900450 URL pmid: 19953545 |
[44] |
Hanreich A, Schimpf U, Zakrzewski M, et al. Metagenome and metaproteome analyses of microbial communities in mesophilic biogas-producing anaerobic batch fermentations indicate concerted plant carbohydrate degradation[J]. Syst Appl Microbiol, 2013,36(5):330-338.
doi: 10.1016/j.syapm.2013.03.006 URL pmid: 23694815 |
[45] |
Heyer R, Benndorf D, Kohrs F, et al. Proteotyping of biogas plant microbiomes separates biogas plants according to process temperature and reactor type[J]. Biotechnol Biofuels, 2016,9:16.
URL pmid: 26819628 |
[46] |
Lee SH, Kang HJ, Lee YH, et al. Monitoring bacterial community structure and variability in time scale in full-scale anaerobic digesters[J]. J Environ Monitor, 2012,14(7):1893-1905.
doi: 10.1039/c2em10958a URL |
[47] | 徐锐. 基于城市有机质废物厌氧消化过程的宏基因组学研究[D]. 长沙:湖南大学, 2019. |
Xu R. Metagenomics based study on anearobic digestion process of municipal organic waste[D]. Changsha:Hunan University, 2019. | |
[48] |
Cardinali-Rezende J, Rojas-Ojeda P, Nascimento AMA, et al. Proteolytic bacterial dominance in a full-scale municipal solid waste anaerobic reactor assessed by 454 pyrosequencing technology[J]. Chemosphere, 2016,146:519-525.
URL pmid: 26741558 |
[49] | Wittebolle L, Marzorati M, Clement L, et al. Initial community evenness favours functionality under selective stress[J]. Nature, 2009,458(7238):623-626. |
[50] | Zhang L, Loh KC, Lim JW, et al. Bioinformatics analysis of metagenomics data of biogas-producing microbial communities in anaerobic digesters:A review[J]. Renew Sust Energ Rev, 2019,100:110-126. |
[51] | Kong DW, Zhang KQ, Liang JF, et al. Methanogenic community during the anaerobic digestion of different substrates and organic loading rates[J]. MicrobiologyOpen, 2019,8(5):10. |
[52] |
Ramette A. Multivariate analyses in microbial ecology[J]. FEMS Microbiol Ecol, 2007,62(2):142-160.
URL pmid: 17892477 |
[53] |
Barberan A, Bates ST, Casamayor EO, et al. Using network analysis to explore co-occurrence patterns in soil microbial communities[J]. ISME J, 2012,6(2):343-351.
URL pmid: 21900968 |
[54] | Freilich S, Kreimer A, Meilijson I, et al. The large-scale organization of the bacterial network of ecological co-occurrence interactions[J]. Nucleic Acids Res, 2010,38(12):3857-3868. |
[55] | Faust K, Raes J. Microbial interactions:from networks to models[J]. Nature Rev Microbiol, 2012,10(8):538-550. |
[56] |
Ofiteru ID, Lunn M, Curtis TP, et al. Combined niche and neutral effects in a microbial wastewater treatment community[J]. PNAS, 2010,107(35):15345-15350.
URL pmid: 20705897 |
[57] | Dumbrell AJ, Nelson M, Helgason T, et al. Relative roles of niche and neutral processes in structuring a soil microbial community[J]. ISME J, 2010,4(3):337-345. |
[58] | Campanaro S, Treu L, Kougias PG, et al. Taxonomy of anaerobic digestion microbiome reveals biases associated with the applied high throughput sequencing strategies[J]. Sci Rep, 2018,8:12. |
[59] | Tao Y, Ersahin ME, Ghasimi DSM, et al. Biogas productivity of anaerobic digestion process is governed by a core bacterial microbiota[J]. Chem Eng J, 2020,380:10. |
[60] | Shade A, Jones SE, Caporaso JG, et al. Conditionally rare taxa disproportionately contribute to temporal changes in microbial diversity[J]. Mbio, 2014,5(4):e01371-01314. |
[61] | Schwan B, Abendroth C, Latorre-Perez A, et al. Chemically stressed bacterial communities in anaerobic digesters exhibit resilience and ecological flexibility[J]. Front Microbiol, 2020,11:867. |
[62] | Ferry JG. Enzymology of one-carbon metabolism in methanogenic pathways[J]. FEMS Microbiol Rev, 1999,1:1. |
[63] | 韩睿, 陈来生, 李全辉, 等. 基于宏基因组的青海农用沼气池微生物组成和功能分析[J]. 农业机械学报, 51(6):326-333. |
Han R, Chen LS, Li QH, et al. Metagenomic analysis of microbial community composition and function in rural household biogas digesters in Qinghai province[J]. T Chin Soc Agric Mach, 2020,51(6):326-333. | |
[64] | Sieber JR, Mcinerney MJ, Gunsalus RP. Genomic insights into syntrophy:the paradigm for anaerobic metabolic cooperation[J]. Annu Rev Microbiol, 2012,66(1):429. |
[65] | Morris R, Schauer-Gimenez A, Bhattad U, et al. Methyl coenzyme M reductase(mcrA)gene abundance correlates with activity measurements of methanogenic H2/CO2-enriched anaerobic biomass[J]. Microbial Biotechnol, 2014,7(1):77-84. |
[66] |
Takano Y, Kaneko M, Kahnt J, et al. Detection of coenzyme F430 in deep sea sediments:A key molecule for biological methanogenesis[J]. Organic Geochem, 2013,58, 137-140.
doi: 10.1016/j.orggeochem.2013.01.012 URL |
[67] |
Ziganshin AM, Schmidt T, Lv Z, et al. Reduction of the hydraulic retention time at constant high organic loading rate to reach the microbial limits of anaerobic digestion in various reactor systems[J]. Bioresource Technol, 2016,217:62-71.
doi: 10.1016/j.biortech.2016.01.096 URL |
[68] |
Ryan P, Forbes C, Colleran E. Investigation of the diversity of homoacetogenic bacteria in mesophilic and thermophilic anaerobic sludges using the formyltetrahydrofolate synthetase gene[J]. Water Sci Technol, 2008,57(5):675-680.
doi: 10.2166/wst.2008.059 URL pmid: 18401137 |
[69] |
Campanaro S, Treu L, Kougias PG, et al. Metagenomic analysis and functional characterization of the biogas microbiome using high throughput shotgun sequencing and a novel binning strategy[J]. Biotechnology for Biofuels, 2016,9:17.
doi: 10.1186/s13068-016-0429-x URL pmid: 26807149 |
[70] |
Jaspers E, Overmann J. Ecological significance of microdiversity:Identical 16S rRNA gene sequences can be found in bacteria with highly divergent genomes and ecophysiologies[J]. Applied and Environmental Microbiology, 2004,70(8):4831-4839.
doi: 10.1128/AEM.70.8.4831-4839.2004 URL pmid: 15294821 |
[71] |
Luo G, Li B, Li LG, et al. Antibiotic resistance genes and correlations with microbial community and metal resistance genes in full-scale biogas reactors as revealed by metagenomic analysis[J]. Environ Sci Technol, 2017,51(7):4069-4080.
doi: 10.1021/acs.est.6b05100 URL pmid: 28272884 |
[72] |
Lee J, Shin SG, Jang HM, et al. Characterization of antibiotic resistance genes in representative organic solid wastes:Food waste-recycling wastewater, manure, and sewage sludge[J]. Sci Total Environ, 2017,579:1692-1698.
doi: 10.1016/j.scitotenv.2016.11.187 URL pmid: 27923578 |
[73] | Sun W, Gu J, Wang XJ, et al. Impacts of biochar on the environmental risk of antibiotic resistance genes and mobile genetic elements during anaerobic digestion of cattle farm wastewater[J]. Bioresource Technol, 2018,256:342-349. |
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