| 引用本文: | 王春燕,谷立坤,安浩东,白耀宇,王文峰,丁伟.基于碳代谢指纹解析重庆彭水烟田土壤可培微生物群落演替研究[J].生物信息学,2018,16(1):49-56. |
| WANG Chunyan,GU Likun,AN Haodong,BAI Yaoyu,WANG Wenfeng,DING Wei.Study of changes of soil cultivatable microorganisms in tobacco-planting soils in the pengshui county of Chongqing city based on carbon metabolism fingerprint analysis method[J].Chinese Journal of Bioinformatics,2018,16(1):49-56. |
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| 基于碳代谢指纹解析重庆彭水烟田土壤可培微生物群落演替研究 |
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王春燕1,谷立坤2,安浩东1,白耀宇3,王文峰1,丁伟3
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(1.重庆能源职业学院,重庆 402260;2. 河南工程学院 资源环境学院,郑州451191; 3 .西南大学 植物保护学院,重庆400715)
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| 摘要: |
| 烟草青枯病为土传病害,病原菌可在土壤中存活较长时间。本文采用含有i-赤藓糖醇、α-环式糊精等15种碳源的培养板,培养青枯病长期高发病烟田土壤样品与不发病烟田土壤样品,寻找青枯病发生土壤碳源代谢特点,研究代谢结构差异。结果表明:重庆彭水白果坪常发病烟田与樱桃井未发病烟田土壤中微生物均具有较强L-苏氨酸,L-苯丙氨酸,D-纤维二糖利用能力。土壤微生物群落在指数培养期数据适合应用于做聚类分析,以指数生长期72 h数据做聚类分析时,2015年的样品聚类在一个大类中,不同时间的样品首先分离,相同时间不同地点的样品后分离,这些样品均为同一年的烟草根系土壤,聚为一大类,2014年试验聚类结果规律不明显,采用已有碳源数据均不能将两类土壤区分开来,实验数据表明重庆彭水白果坪常发病烟田与樱桃井未发病烟田土壤中微生物碳源代谢能力差别不显著,受时间影响因素更大。重庆彭水樱桃井烟田中某些微生物替代了白果坪常发病烟田土壤青枯菌的碳源代谢生态位,进而具有竞争抑制青枯菌繁殖的潜力,本结论的科学性需要进一步研究。 |
| 关键词: 碳代谢指纹 光吸收 聚类分析 |
| DOI：10.3969/j.issn.1672-5565.201708002 |
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| 文献标识码:A |
| 基金项目:中国科学院科技专项(XDB15010404)；重庆烟草科技攻关项目(NY20140401070004). |
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| Study of changes of soil cultivatable microorganisms in tobacco-planting soils in the pengshui county of Chongqing city based on carbon metabolism fingerprint analysis method |
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WANG Chunyan1, GU Likun2, AN Haodong1, BAI Yaoyu3, WANG Wenfeng1, DING Wei3
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(1.Chongqing Energy College, Chongqing 402260, China; 2. College of Resources and Environmental Sciences College, Henan University of Engineering, Zhengzhou 451191,China; 3.College of Plant Protection, Southwest University, Chongqing 400716, China)
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| Abstract: |
| Tobacco bacterial wilt is a soil borne disease, and pathogens can survive in soil for a long time. To find the characteristics of carbon source metabolism of bacterial from high incidence of tobacco bacterial wilt field,and find differences of metabolic structure, we cultured soil samples from the field of high incidence of tobacco bacterial wilt and field of never happened, using the plate containing i-erythritol, alpha cyclodextrin and other 15 kinds of carbon source. The results showed that microorganisms from both field can strongly use L-threonine, L-phenylalanine, D(+)-Cellobiose. The cultured data of exponential growth phase was suitable for clustering analysis. By cluster analysis, samples of 2015 were clustered in a large class. Samples from different time were first clustered, and samples from different locations were clustered afterly. These phenomina in 2014 test was not obvious. The use of the existing carbon source data could not distinguish the two types of soil, the experimental data showed that the difference of carbon source metabolism between the Chongqing Pengshui Baiguoping and Yingtaojing was not significantly different. Some microorganisms in yingtaojing field have the smiliar carbon source metabolism and can replace Ralstonia Solanacearum, which could compete to inhibit Ralstonia Solanacearumpropagation. The scientific nature of this conclusion needs to be further studied. |
| Key words: Carbon metabolic fingerprint Light absorption Cluster analysis |
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