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Position: Home > Articles > Application Analysis of Microcystis aeruginosa Identification Based on Ribosomal Proteins Biotechnology Bulletin 2017,33 (10) 117-124

以核糖体蛋白质鉴别铜绿微囊藻的应用分析

作  者:
江文静;张军毅;杜阳;孙丽伟
单  位:
江苏省无锡市环境监测中心站
关键词:
核糖体蛋白质;铜绿微囊藻;MALDI-TOF MS;蓝藻水华
摘  要:
旨为研究以核糖体蛋白质为生物标识物的基质辅助激光解吸/电离平衡飞行时间质谱(MALDI-TOF MS)法鉴别混合及实际蓝藻样品的可行性。通过机械破碎和高速离心的前处理步骤获取待测蓝藻样品的核糖体蛋白质组分,使蛋白质原位结晶后进行MALDI-TOF MS测定,并选择特定的13个核糖体蛋白质为生物标识物进行蛋白质组学分析。结果表明在筛选的最优实验条件下,模式藻株铜绿微囊藻(Microcystis aeruginosa)能在混合样品中被精确鉴别出,标识物特征峰的检出率均大于75%,通过对不同藻细胞密度的样品测定,混合蓝藻样品中M.aeruginosa的最低生物量检出限为2.88×106cell,所占比例为37%,核糖体蛋白质特征峰值的误差在合理范围内;M.aeruginosa在太湖实际蓝藻样品中也被成功鉴别出,特征峰的检出率为76.9%。综合分析表明,基于核糖体蛋白质为生物标识物的MALDI-TOF MS法能成功应用于混合和实际蓝藻样品的鉴别且可能成为未来实际水体中蓝藻日常监测的手段。
译  名:
Application Analysis of Microcystis aeruginosa Identification Based on Ribosomal Proteins
作  者:
JIANG Wen-jing;ZHANG Jun-yi;DU Yang;SUN Li-wei;School of Energy and Environment,Southeast University,Taihu Lake Water Environment Engineering Research Center,Southeast University;Wuxi Environmental Monitoring Centre;
关键词:
ribosomal protein;;Microcystis aeruginosa;;MALDI-TOF MS;;cyanobacterial bloom
摘  要:
This research is to verify the feasibility of matrix-assisted laser desorption-ionization-time-of-flight mass spectrometry(MALDI-TOF MS)in the identification of mixed and actual cyanobacterial samples by employing ribosomal proteins as biomarkers. Mechanicaldisruption and high speed centrifugation were used as pre-treatments to collect the ribosomal protein fraction of cyanobacterial samples,andthen MALDI-TOF MS was applied to identify Microcystis aeruginosa in samples after proteins in situ crystallization with proteomic analysisbased on 13 ribosomal proteins as biomarkers. The results showed that under the optimal conditions,model strain M. aeruginosa was preciselyidentified in the mixed samples and the detection rates of assigned peaks were all greater than 75% with reasonable errors range except thefourth sample. The lowest biomass detection limit and ratio of M. aeruginosa was 2.88×106 cells and 37%,respectively. Furthermore,M. aeruginosa was identified and detected in the cyanobacterial samples from Taihu Lake and the detection rate of assigned peaks was 76.9%. Inconclusion,MALDI-TOF MS employing ribosomal proteins as biomarkers could be successfully applied to the identification of mixed and actualcyanobacterial samples and will be expected as routine tool in environmental cyanobacteria monitoring.

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