Identification of freshwater zooplankton species using protein profiling and principal component analysis

被引:9
|
作者
Hynek, Radovan [1 ]
Kuckova, Stepanka [1 ]
Cejnar, Pavel [2 ]
Junkova, Petra [1 ]
Prikryl, Ivo [3 ]
Ambrozova, Jana Rihova [4 ]
机构
[1] Univ Chem & Technol Prague, Dept Biochem & Microbiol, Prague, Czech Republic
[2] Univ Chem & Technol Prague, Dept Comp & Control Engn, Prague, Czech Republic
[3] ENKI Ops, Trebon, Czech Republic
[4] Univ Chem & Technol Prague, Dept Water Technol & Environm Engn, Prague, Czech Republic
来源
LIMNOLOGY AND OCEANOGRAPHY-METHODS | 2018年 / 16卷 / 03期
关键词
ASSISTED-LASER-DESORPTION/IONIZATION; MALDI-TOF-MS; FLIGHT MASS-SPECTROMETRY; RAPID IDENTIFICATION; TIME; MICROORGANISMS; DIVERSITY; BACTERIA;
D O I
10.1002/lom3.10238
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Crustaceans are vital components of the freshwater zooplankton that link various trophic levels. Because crustaceans, particularly cladocerans of the Daphnia genus, are sensitive to environmental changes, they can serve as indicators of environmental fluctuations. Therefore, it is highly desirable to have a fast and reliable method for the identification of individual Daphnia species. In this study, we demonstrated the ability of protein profiling to distinguish between freshwater zooplankton species. Individual specimens were morphologically identified before being analyzed by proteomic fingerprinting using matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS). The obtained mass spectra were used to create a reference library. Subsequently, the individual species were successfully identified using Biotyper software. The variability between the spectra of individual Daphnia species was verified by principal component analysis (PCA). Our results suggest that the combination of proteome fingerprinting using MALDI-TOF MS and PCA has considerable potential as a rapid tool for the unambiguous identification of individual species of freshwater zooplankton without the need for expert morphological analysis.
引用
收藏
页码:199 / 204
页数:6
相关论文
共 50 条
  • [1] A novel algorithm for automatic species identification using principal component analysis
    Sen, S
    Narasimhan, S
    Konar, A
    PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS, 2005, 3776 : 605 - 610
  • [2] Genomic data mining for species identification using principal component analysis
    Sen, S
    Narasimhan, S
    Konar, A
    Chakraborty, UK
    PROCEEDINGS OF THE 8TH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1-3, 2005, : 1256 - 1259
  • [3] STUDY OF ZOOPLANKTON SPACE DISTRIBUTION BY USING OF PRINCIPAL COMPONENT ANALYSIS
    SAGAJDATCSHNIJ, AU
    GHILAROV, AM
    MATVEEV, VF
    ZHURNAL OBSHCHEI BIOLOGII, 1977, 38 (02): : 218 - 227
  • [4] Descriptive sensory profiling of thandai using principal component analysis
    Kaur, Manpinder
    Chawla, Rekha
    Sivakumar, S.
    INDIAN JOURNAL OF DAIRY SCIENCE, 2021, 74 (02): : 110 - 116
  • [5] System identification using augmented principal component analysis
    Vijaysai, P
    Gudi, RD
    Lakshminarayanan, S
    PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2003, : 4179 - 4184
  • [6] Identification of faulty sensors using principal component analysis
    Dunia, R
    Qin, SJ
    Edgar, TF
    McAvoy, TJ
    AICHE JOURNAL, 1996, 42 (10) : 2797 - 2812
  • [7] Identification of mitochondrial deficiency using principal component analysis
    Durrieu, G
    Letellier, T
    Antoch, J
    Deshouillers, JM
    Malgat, M
    Mazat, JP
    MOLECULAR AND CELLULAR BIOCHEMISTRY, 1997, 174 (1-2) : 149 - 156
  • [8] Identification of mitochondrial deficiency using principal component analysis
    Gilles Durrieu
    Thierry Letellier
    Jaromír Antoch
    Jean-Marc Deshouillers
    Monique Malgat
    Jean-Pierre Mazat
    Molecular and Cellular Biochemistry, 1997, 174 : 149 - 156
  • [9] Species-identification of wasps using principal component associative memories
    Weeks, PJD
    O'Neill, MA
    Gaston, KJ
    Gauld, ID
    IMAGE AND VISION COMPUTING, 1999, 17 (12) : 861 - 866
  • [10] Metabolic profiling of Piper species by direct analysis using real time mass spectrometry combined with principal component analysis
    Chandra, Preeti
    Bajpai, Vikas
    Srivastva, Mukesh
    Kumar, K. B. Ramesh
    Kumar, Brijesh
    ANALYTICAL METHODS, 2014, 6 (12) : 4234 - 4239