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Prymnesium parvum : Analysis of Pigmentation Dynamics Over Growth  by Alexis Martinez Identification through Bio-Optical Signatures  by Merissa Ludwig   REU Program Texas A&M University Summer 2005
Golden Algae ,[object Object],[object Object],         Photo: Dr. Carmelo Tomas UNC Wilmington
[object Object],[object Object],[object Object],[object Object]
Golden Algae Family Tree Illustrations by Robert G. Howells, TPWD
Cell Characteristics ,[object Object],[object Object],[object Object],[object Object],[object Object],                                Golden Alga,  Prymnesium parvum Drawing by Robert G. Howells, TPWD
“ Golden” Algae? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Ideal Environment for  P. parvum Photo: Dave Buzan, TPWD
What makes this algae so important? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Unique Characteristics ,[object Object],[object Object],[object Object],[object Object],Photos by Urban Tillmann TIllmann, U. (1998) AME 14: 155-160
Where can we find golden algae? ,[object Object],[object Object],[object Object]
 
Locations found in the U.S. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
History of  P. parvum  in Texas ,[object Object],[object Object],[object Object]
Impacts of Blooms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Fish kill at Jackson Bend, Lake Granbury, 2003
Problem Research Solution Persistent toxic algae with the ability to decimate fish,  bivalve, and other phytoplankton populations.  Texas  economy feels effect in declining tourism and recreation  due to dead fish. Knowledge about  P. parvum  is limited, inability to detect indicators prior to harmful algal bloom. Immediate need for simple, rapid, and more accurate method to detect  P. parvum and to identify possible indicators before harmful algal bloom.
Current Methods of Identification   ,[object Object],[object Object],[object Object],Light micrograph (phase contrast) of a water sample, containing predominantly Prymnesium parvum , collected from Lake Koronia on 11th September, 2004. Inset: Motile  P. parvum  cell with visible flagellae and haptonema. Bars indicate 10 μm; inset 5 μm.
Future Methods ,[object Object],[object Object],[object Object],[object Object]
Experiment ,[object Object],[object Object],[object Object]
Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
Prymnesium   parvum  Growth Characteristics:  Analysis of Pigmentation with Cell Growth ,[object Object]
Method for Assessing   Phytoplankton Assemblages ,[object Object],[object Object],[object Object],[object Object]
Pigments ,[object Object],[object Object],[object Object],[object Object]
Pigments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],*Specific algal groups contain diagnostic pigments
High-Performance Liquid Chromatography   Fig. 1. Preparative and analytical procedures for HPLC from Millie et. al. (1993).
Chemical Taxonomy ,[object Object],[object Object],ChemTax   matrix software program = Algal group abundance
Objective of Study ,[object Object],[object Object],[object Object]
Analysis of Growth Characteristics: ,[object Object],[object Object]
Results
 
 
A B C
Pigment ratio statistics of entire sampling period (Day 3 – 24) 57 30 38 18 24 15 COV %   0.01 0.06 0.01 0.09 0.04 0.01 STDV   0.03 0.20 0.01 0.48 0.15 0.05 AVG C     39 24 53 21 23 27 COV %   0.01 0.05 0.01 0.11 0.04 0.02 STDV   0.03 0.23 0.01 0.53 0.18 0.06 AVG B     56 13 57 12 21 33 COV %   0.01 0.03 0.01 0.06 0.03 0.02 STDV   0.02 0.19 0.01 0.49 0.16 0.05 AVG A Zeax- Diado-/Diato Viola- Fuco- Chl c1c2 Chl c3 TOTAL  
Growth Phase  Pigmentation Dynamics (highlighted areas display very high correlation of coefficient values) 86 23 40 14 21 16 COV %   0.01 0.04 0.01 0.07 0.03 0.01 STDV   0.02 0.16 0.01 0.47 0.13 0.05 AVG C     56 28 82 25 31 39 COV %   0.01 0.06 0.01 0.14 0.05 0.02 STDV   0.02 0.21 0.01 0.55 0.16 0.06 AVG B     74 10 90 10 30 42 COV %   0.01 0.02 0.01 0.05 0.05 0.02 STDV   0.01 0.17 0.01 0.50 0.15 0.06 AVG A Zeax- Diado-/Diato Viola- Fuco- Chl c1c2 Chl c3 GROWTH  
Stationary Phase  Pigmentation Dynamics 20 0 47 12 27 0 COV %   0.01 0.00 0.01 0.06 0.04 0.00 STDV   0.04 0.23 0.02 0.48 0.16 0.05 AVG C     16 23 0 12 13 17 COV %   0.01 0.06 0.00 0.07 0.03 0.01 STDV   0.04 0.25 0.01 0.55 0.20 0.06 AVG B     29 5 11 13 7 15 COV %   0.01 0.01 0.00 0.07 0.01 0.01 STDV   0.03 0.21 0.01 0.50 0.18 0.05 AVG A Zeax- Diado-/Diato Viola- Fuco- Chl c1c2 Chl c3 STATIONARY  
Comparison of  separating  analysis over phases versus using entire sampling period 57 30 38 18 24 15 TOTAL   20 0 47 12 27 0 STATIONARY    86 23 40 14 21 16 GROWTH  C       39 24 53 21 23 27 TOTAL   16 23 0 12 13 17 STATIONARY   56 28 82 25 31 39 GROWTH B       56 13 57 12 21 33 TOTAL   29 5 11 13 7 15 STATIONARY   74 10 90 10 30 42 GROWTH A Zeax- Diado-/Diato Viola- Fuco- Chl c1c2 Chl c3 COV %  
CONCLUSION ,[object Object],[object Object],[object Object],[object Object]
Rapid Detection through use of Optical Signatures Merissa Ludwig
Bio-Optical Methodologies ,[object Object],[object Object],[object Object],[object Object]
Finding an Optical Signature ,[object Object],[object Object],[object Object],[object Object]
Absorption ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
Collecting Data ,[object Object],[object Object],[object Object],[object Object]
Absorbance
Variance Values ,[object Object],[object Object],4.61 480 C 6.18 413 B 5.54 483 A Coefficient of Variation Wavelength (nm) Sample Maximum Variance in Absorbance
Optical Signature and Growth ,[object Object],[object Object]
Optical Signatures and Growth ,[object Object],[object Object],[object Object],[object Object]
Other Projects in the Lab ,[object Object],[object Object],[object Object],[object Object]
 
Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Golden Algae

  • 1. Prymnesium parvum : Analysis of Pigmentation Dynamics Over Growth by Alexis Martinez Identification through Bio-Optical Signatures by Merissa Ludwig REU Program Texas A&M University Summer 2005
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  • 4. Golden Algae Family Tree Illustrations by Robert G. Howells, TPWD
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  • 16. Problem Research Solution Persistent toxic algae with the ability to decimate fish, bivalve, and other phytoplankton populations. Texas economy feels effect in declining tourism and recreation due to dead fish. Knowledge about P. parvum is limited, inability to detect indicators prior to harmful algal bloom. Immediate need for simple, rapid, and more accurate method to detect P. parvum and to identify possible indicators before harmful algal bloom.
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  • 26. High-Performance Liquid Chromatography Fig. 1. Preparative and analytical procedures for HPLC from Millie et. al. (1993).
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  • 33. A B C
  • 34. Pigment ratio statistics of entire sampling period (Day 3 – 24) 57 30 38 18 24 15 COV %   0.01 0.06 0.01 0.09 0.04 0.01 STDV   0.03 0.20 0.01 0.48 0.15 0.05 AVG C     39 24 53 21 23 27 COV %   0.01 0.05 0.01 0.11 0.04 0.02 STDV   0.03 0.23 0.01 0.53 0.18 0.06 AVG B     56 13 57 12 21 33 COV %   0.01 0.03 0.01 0.06 0.03 0.02 STDV   0.02 0.19 0.01 0.49 0.16 0.05 AVG A Zeax- Diado-/Diato Viola- Fuco- Chl c1c2 Chl c3 TOTAL  
  • 35. Growth Phase Pigmentation Dynamics (highlighted areas display very high correlation of coefficient values) 86 23 40 14 21 16 COV %   0.01 0.04 0.01 0.07 0.03 0.01 STDV   0.02 0.16 0.01 0.47 0.13 0.05 AVG C     56 28 82 25 31 39 COV %   0.01 0.06 0.01 0.14 0.05 0.02 STDV   0.02 0.21 0.01 0.55 0.16 0.06 AVG B     74 10 90 10 30 42 COV %   0.01 0.02 0.01 0.05 0.05 0.02 STDV   0.01 0.17 0.01 0.50 0.15 0.06 AVG A Zeax- Diado-/Diato Viola- Fuco- Chl c1c2 Chl c3 GROWTH  
  • 36. Stationary Phase Pigmentation Dynamics 20 0 47 12 27 0 COV %   0.01 0.00 0.01 0.06 0.04 0.00 STDV   0.04 0.23 0.02 0.48 0.16 0.05 AVG C     16 23 0 12 13 17 COV %   0.01 0.06 0.00 0.07 0.03 0.01 STDV   0.04 0.25 0.01 0.55 0.20 0.06 AVG B     29 5 11 13 7 15 COV %   0.01 0.01 0.00 0.07 0.01 0.01 STDV   0.03 0.21 0.01 0.50 0.18 0.05 AVG A Zeax- Diado-/Diato Viola- Fuco- Chl c1c2 Chl c3 STATIONARY  
  • 37. Comparison of separating analysis over phases versus using entire sampling period 57 30 38 18 24 15 TOTAL   20 0 47 12 27 0 STATIONARY   86 23 40 14 21 16 GROWTH C       39 24 53 21 23 27 TOTAL   16 23 0 12 13 17 STATIONARY   56 28 82 25 31 39 GROWTH B       56 13 57 12 21 33 TOTAL   29 5 11 13 7 15 STATIONARY   74 10 90 10 30 42 GROWTH A Zeax- Diado-/Diato Viola- Fuco- Chl c1c2 Chl c3 COV %  
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  • 39. Rapid Detection through use of Optical Signatures Merissa Ludwig
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