November 16

Lab #13: Soil Ciliate Discovery; Photomicroscopy; Presentation Design

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Lab #13: Soil Ciliate Discovery; Photomicroscopy; Presentation Design

11/15/18

Haiden Jordal

Objective:

Finish observing and isolating ciliates and try to classify them under one of the 11 classes using morphological characters and prepare for presentations.

Procedure:

Soil Composition Continued:

  1. Collect the soil samples that were prepared in lab last week.
  2. Use a ruler to measure (in mm) the respective heights of the three soil types: sand (on bottom), silt (in the middle), and clay (on top).
  3. Use the measurements to calculate the percentages of each type.
  4. Use the soil identifier chart to figure out which soil type most closely identifies your soil.

Ciliate Classification:

  1. Transfer 5 ul of liquid sample to a concavity slide.
  2. View the slide underneath the compound microscope with the scanning, 10x and 40x lenses.
  3. Record the number and diversity of ciliates found on the slide. Take pictures and videos of the observed ciliates.
  4. Attempt to either isolate or culture a ciliate by removing it from the soil contaminated drop into a drop of clean water in order to better observe its features.
  5. Try to classify any observed ciliates.

Observations:

Soil Sedimentation Test:

Soil Type Height (mm) Percentage
Clay 1mm 3.8%
Silt 2mm 7.7%
Sand 23mm 88.5%

Soil Sedimentation Results: Loamy Sand

Isolated Ciliate Description: No ciliates were isolated strictly speaking. However, many ciliates were observed by video and picture.

Storage:

The concavity slides were cleaned and stored on the counter to dry. The micro pipettes were put back on the racks and the used tips were disposed into the tip cups. The microscope was turned off, covered and moved back to the center of the lab table. The petri dishes of soil were covered with the lid and stored away again. The falcon tubes were put back in the test tube rack.

Conclusions:

The soil was identified as being a loamy sand, presumably because the majority of the sediment found in the falcon tube after separation turned out to be sand. It seemed as though the majority of the soil collected from the area off the bank of the creek was loamy sand. For my sample, the loamy sand provided many different ciliates from all shapes and sizes. My theory is that the sandier the sample, the more the soil had been exposed to water from the creek. Areas of soil that are closer to water would have more encysted ciliates than other areas. Each week we came back to lab and rehydrated the soil plate, more and more ciliates seemed to become active. The sample drops that I observed under the microscope always had more observable ciliates when the drop contained heavy amounts of soil particles. When I drew water from the Petri dish from clear areas, there were little to no ciliates. This fact proved to be an issue as it was difficult to separate the ciliate from the area of soil particles to observe more closely. My lab partners had less success than I did when finding ciliates so our group observations were minimal.

Future Steps:

Meet with our groups and share our collective data. We will have to present our soil ciliate findings to the class during next lab. We will have to explain our background, preparation, procedure, and results in a cohesive and professional manner. We will all add equally to the entire presentation so that it is an entire group effort from start to finish.

November 9

Lab #12: Ciliate Classification

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Lab #12: Ciliate Classification

11/9/18

Haiden Jordal

Objective:

The purpose of this lab was to learn and practice the ability to classify observed ciliates using morphological characters to find the correct phylum and class. We also are brainstorming the possible ways diversity comes into play and how evolution and natural selection amplifies diversity and connects all branches of life with a common ancestor.

Procedure:

Preliminary Review:

First in lab, we reviewed the different branches of life and how all life can be classified under seven supergroups: Excavata, Stramenopile, Alveolata, Rhizaria, Archaeplastida, Amoebozoa, and Opisthokonta. We looked at the different phylums under each supergroup, and then the different classes of species under the phylum ciliophora.

Soil Sedimentation Test:

  1. Scoop up around 4 mL in volume of dry soil that was obtained September 20th into a falcon tube.
  2. Add 6 mL of water to the soil for a total of 10 mL.
  3. Add a drop of soil dispersion solution into the tube.
  4. Place the tube on the vortex for a few seconds to allow the mixture to mix.
  5. To allow for the different sediments to settle place the tube on the class test tube rack and wait until next week to obtain the results of the soil composition.

Ciliate Observation

  1. Observe the non flooded plates under the dissecting microscope.
  2. Look specifically at the soil-water interface for live ciliates.
  3. If the the soil sample is too dry than it would be useful to add some additional water.
  4. `Swirl the soil and water around to collect any isolated ciliates.
  5. Transfer 5 ul of liquid sample to a concavity slide.
  6. View the slide underneath the compound microscope with the scanning, 10x and 40x lenses.
  7. Record the number and diversity of ciliates found on the slide. Take pictures and videos of the observed ciliates.
  8. Attempt to either isolate or culture a ciliate by removing it from the soil contaminated drop into a drop of clean water in order to better observe its features.
  9. Try to classify any observed ciliates.

Observations:

Soil Sedimentation Test:

The results for this test will be observed next week when the sediment has settled and the sizes of the sedimentation deposits are clear and measurable.

Ciliate Observation:

In comparison to our last soil ciliate observation, this week saw more ciliates. Our group was able to find multiple ciliates in each of our own slides and Madelyn was able to find a Rotifer in her sample. My first slide, I used a smaller 2.5 ul drop of water to try and limit the amount of soil particles picked up by the micro pipette. This was successful, as around 5 different ciliates were visible moving: one long and pointed on either end, the others different sizes of oval and circles. A picture of the side was not taken due to the speed of the ciliates and the camouflage of the soil particles. Before isolation of one of the ciliates could take place, I noticed that my small drop had dried up, making it nearly impossible to locate the ciliates as they had stopped moving and were either blending in with soil particles or were hidden underneath larger deposits. A second drop was procured, this time a larger 5 ul drop to prevent evaporation. The second trial only produced one evident ciliate that looked similar to the long pointed one observed on the original drop. The ciliate was still too quick and the drop still too full of soil to take a picture of the ciliate.

Storage:

The concavity slides were cleaned and stored on the counter to dry. The micro pipettes were put back on the racks and the used tips were disposed into the tip cups. Both microscopes were turned off, covered and moved back to the center of the lab table. The petri dishes of soil were covered with the lid and stored away again. The falcon tubes are placed in test tube racks to allow for settling and are left their until next lab. The bags of dry soil were collected and stored in a class container.

Conclusions:

Based on observations made both this week and last, it is evident that, even in just our small samples of soil, there are hundreds of ciliates and most of different sizes, shapes, and structures. The soil ecosystem is thriving with life all of which we are so far from understanding completely. Ciliates and other microscopic soil organisms all play a huge role in the biodiversity of the soil and can all be affected by different human caused interactions like pollution and climate change. Being able to identify and classify different ciliates allows us to understand their diversity and their relationship with the soil food web.

Future Steps:

Using a number of keys for ciliate classification, we should be able to isolate and characterize the different soil ciliates we observed in lab. We will have to isolate ciliates in clean water and slow them down with methyl cellulose to better observe them. In addition, we will continue the soil sedimentation test by measuring the amount of sand, sediment, and clay that has settled inside the falcon tube. From these measurements we will them be able to calculate the soil composition percentages.

 

November 1

Lab #11: Soil Ciliate Discovery

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Lab #11: Soil Ciliate Discovery

11/1/18

Haiden Jordal

Objective:

To extract and examine soil ciliates from our samples collected a few weeks ago. By looking at different soil ciliates from the wild we can get a closer look at the diversity of species of ciliates and identify their classifying characteristics.

Procedure:

Calculating content water %:

  1. Obtain the soil filled petri dishes with the hydrated soil
  2. The dry mass of the soil and the dish were already recorded prior to the start of this lab.
  3. Use the original mass of the “wet soil” from lab #5 to calculate the content water %
  4. Equation: (wet mass- dry mass)/(wet mass) x 100 = %

Determining pH:

  1. Take a sample of water from the soil dish and pipette the water into a centrifuge tube.
  2. Put the tube into the centrifuge making sure there is another tube opposing it to keep it balanced.
  3. Centrifuge for 30 seconds.
  4. Micropipette a of the clear water from the centrifuged mixture of soil and water.
  5. Place the drop on the overturned petri lid and place the pH paper on the drop and allow it to soak.
  6. After 1 minute, analyze the color of the pH paper and determine the correct pH number.

Identifying/ Discovering Ciliates:

  1. Observe the non flooded plates under the dissecting microscope.
  2. Look specifically at the soil-water interface for the live ciliates. Record observations.
  3. If the their is too much soil then scoop off excess pieces to obtain a clear visual to the bottom of the dish.
  4. Swirl the soil and water around to collect any isolated ciliates.
  5. Transfer 100 ul of liquid sample to a concavity slide.
  6. View the slide underneath the compound microscope with the scanning, 10x and 40x lenses.
  7. Record the number and diversity of ciliates found on the slide. Take pictures and videos of the observed ciliates.

Observations:

Water Content %:

Petri Dish mass 5.8g
Dish + Wet soil 32.7g                                 30.8g
Calculated Wet soil 26.9g                                 25g
Dish + Dry soil —                                       22.8g
Calculated Dry soil —                                       17g
  • ^Regular numbers are from actual data. Bolded numbers are made up to account for the fact that my soil sample was not pre weighed when dry before lab and the numbers calculated are just for practice.
  • Water content – ((25-17)/25) x 100 = 32%

Determining pH:

  • pH = 7 which is neutral

Identifying Ciliates:

Summary: I discovered two distinct ciliates moving in my 100 ul sample of soil water. One ciliate was pill shaped and on the larger side. It moved in series of straight lines and was very quick. The second ciliate was smaller and round shaped moving in circles with sporadic directional changes.

The ciliates are difficult to identify in the picture but in real time are seen moving around the area of the drop.

Storage:

The concavity slides were cleaned and stored on the counter to dry. The micro pipettes were put back on the racks and the used tips were disposed into the tip cups. Both microscopes were turned off, covered and moved back to the center of the lab table. The petri dishes of soil were covered with the lid and stored away again. The centrifuge tubes were emptied and cleaned and placed back in the tube rack at the table.

Conclusion:

A higher water content percentage may contribute to an increased saturation of ciliates found in the soil since the ciliates live in the air-water interface. The pH of the soil may also dictate the number of ciliates. With my pH being neutral, it is neither acidic nor basic. The number of ciliates found in my sample shows how difficult it is to find ciliates in the soil. Even though only two ciliates were found in my own sample and others found very few as well, the diversity of the species is evident. The two in my sample were different in virtually every observable aspect; shape, movement, speed, and size. Each species of ciliates have their own unique features and morphological characteristics that allow them to be identified and distinguished between each other.

Future Steps:

We will continue to monitor and observe organisms from the sample week to week and view the predictable succession of ciliates in the plate over time. Continuing to describe the abundance and diversity of ciliates in our sample we might also isolate and culture a single type of ciliate. We will have to collect enough data to present our group findings to the class in the coming weeks.

October 26

Lab #10: Lab Report Reflection

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Lab #10 Lab Report Reflection

Haiden Jordal

10/25/18

Objective: Begin the process of writing a clear, concise, and informative lab report over the experiment we set up and completed over the last few weeks in lab. Learn the different parts of a scientific report and use the data we analyzed in lab to effectively communicate our results to the rest of the science world.

Abstract:

An abstract is the first piece of writing that a reader sees when viewing your scientific paper. It should be a concise and clear summary over the rest of the paper so that the reader can identify whether or not the information within the paper is of value to their own research. It should include background information, purpose and the methods that we used to come to our concluding results. Within this information a reader can determine whether the research paper is credible and significant or not.

Introduction:

The introduction provides as a preliminary experimental design/ set up that introduces the reader to the topic being researched and the necessary background information that was read to incite inquiry. This is where the references first get used and the prior research done in the particular field of focus is given necessary credit. The intro can establish the importance of the results of the experiment and elaborate on the overall importance that can stem from the knowledge gained upon completion of the experiment.

Materials and Methods:

The materials and methods section lists and describes all of the steps taken throughout the conduction of the experiment. It is an important section because it is what determines the reproducibility of the experiment. If the materials and methods page is thorough and detailed then the reader will be able to reproduce similar results and further confirm or deny the observation gathered. It is essential to any scientific research paper as it establishes wether or not the methods used were credible enough to accept the conclusions.

Results:

The results are quite possibly the most important aspect of each scientific paper as it is what every reader and fellow scientist are reading the paper for. The results are a collection of specific tables, graphs, and statements that explain exactly what was found upon completion of the experiment. It should include the data from each individual procedure that was completed. Figures should be conjured by analyzing the data and compiling it into charts and graphs that give a clear and evident message as to what the results of the experiment say. No interpretation of the results should be explained in this section but only a relay of information.

Conclusion/Discussion:

In the discussion, the full scope of the results is interpreted and recited to convey possible meaning and underlying implications. It is an opportunity for the writer to give specific thoughts on the procedure and data and discuss possible sites of error and flaw in experimental design. This section will allow the reader to make their own conclusions from the results and lead to calls to action or reformation. The significance of the experiment and the results should be fully realized and a plan for future research can be established.

References:

The reference section allows for the writer to give credit to other pieces of research that may have assisted in the experimental process. In APA format, the references should be easy to read and helpful to readers by giving additional background and other scientific literature that is necessary to go into more depth.

Future: Take what I learned in the process of writing my scientific paper to further my skill of being able to communicate my findings to the scientific community. The skill of scientific communication, is a necessary skill to allow my research and my ideas to be heard, believed, and considered credible. Without this ability, any information obtained by experiment or other scientific analysis is practically useless as it would not be read or interpreted by anyone else.

October 19

Lab #9: Working With Excel; Results and Figures

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Lab #9: Working With Excel; Results and Figures

10/18/18

Haiden Jordal

Objective:

Utilize excel spreadsheet and data gathering programs to procure figures that are accurately detailed and easily read for both of the cell count data and the optical density data with our group members. Discuss which charts make for the best figures and explore how to create error bars.

Procedure:

  1. Obtain the descriptive data statistics that were procured in lab last week.
  2. Use the means of the two sets of data to create a figure that shows the difference in means.
  3. Highlight both means and choose the recommended chart option.
  4. Discuss the recommended options with group members to determine the best choice to represent our data.
  5. Once a chart is chosen, label the chart with a descriptive title: Tetrahymena Control vs Treatment Cell Count Means.”
  6. Label the bars as control and treatment.
  7. Start the same process for the optical density data.
  8. To find the correct treatment data for the optical density analyzation, subtract the “ppt and twine only” column data from the treatment column data to obtain the final treatment data.
  9. Repeat the chart steps.
  10. This time, to find the standard error, use the same descriptive statistics data and highlight both sets of standard error numbers.
  11. Use those numbers in creating standard error bars that show the range distribution of data.
  12. Do the same thing for the individual behavioral assay.
  13. An asterisk placed on the graph represents a statistical difference between the two means of the variable sets.

Data/Observations:

Storage:

No Storage due to no wet lab; Just log off computer when done.

Conclusion and Future Steps:

Practicing the task of creating meaningful and descriptive data figures is an important one to learn for including pertinent information in our lab reports. Figures can go alongside the results section in the lab report and as an aspiring scientist we must all be capable of sharing our data in a concise and understandable way if we want our findings to be understood and information to be taken seriously. The data figures we produced today display a statistical difference in means between all three experimental observations. In the cell count figure, the treatment cell count proved to be significantly higher than the control. This trend was seen in the other figures as well. At the end of lab we combined our individual assay figures into a single powerpoint that will be presented to the class during next lab. All groups will present their own figures and we will discuss the final results of the lab to determine what we all can conclude from our findings.

 

October 12

Lab #8: Toxicity Assay; Statistical Analysis Part 1

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Lab #8: Toxicity Assay; Statistical Analysis Part 1

10/11/18

Haiden Jordal

Objectives:

The main objective, today, is to utilize the computer lab to conduct statistical analysis of our results from the experiment that was performed last week. Taking all of the data from each individual group we can use statistics to determine wether or not our findings were significant. In the lab we will learn how to use excel and the toolpak program to sort and conjure important data like the t and f test results and other descriptive analysis. This analysis will help us form conclusions about the hypothesis that were involved in our experiment.

Procedures :

Data Preparation

  1. We began lab by adjusting our input of data into the class spreadsheet.
  2. We eliminated any double sets of information and corrected data that was incorrectly calculated and did not match up with the units that were common in the rest of the data.
  3. After the data was saved and finalized we began the statistical analysis part.

Statistical Analysis

  1. We took the data from the class spreadsheet and organized it into sections. The first section being cell counts and the next being behavioral assay (swim speed in my case).
  2. Each section was split into two columns of information: Treatment cells and control cells.
  3. After the data was organized, a preliminary descriptive data analysis was performed.
  4. The descriptive analysis included highlighting one column of data and copying it into the input box.
  5. This analysis included information about the max, min, range, and etc.
  6. With this analysis completed, the histogram can be completed by taking the known minimums and maximums and creating a set of numbers within our data range for our bin numbers.
  7. Using these bin numbers and the points from the same column that we performed the descriptive analysis on, we can make a chart through the toolpak showing the frequency or dispersion of points that were collected.
  8. This process can be done for all four columns.
  9. After the histogram, the f-test can be performed by highlighting both columns of a single set and inputing them into the process labeled “f-test two-sample for variance”.
  10. This test will show us if the two samples have variance. This will in turn tell us what t-test to use and in this case, it is the two sample t-test assuming unequal variances.
  11. Before the t-test is completed a null hypothesis must be identified so it can be either rejected or accepted by the results.

Observations:

Cell Counts

 Cell Counts Descriptive Analysis Histogram
Treatment
Control  

Swim Speed Assay

Behavioral Swim Speed Descriptive Analysis Histogram
Treatment
Control

 

F-Test and T-Test

Cell Counts Swim Speed Assay

Storage:

No storage due to no wet lab this week. Just log off computer before leaving.

Conclusion and Future Steps:

The histogram for the treated cell counts shows a fairly normal histogram with the majority of cell counts coming in around the central 30,000-50,000 range. Same for the control group except around the 8,000-12,000. This tells us that it is a normal distribution of frequencies. As for the f-test for the cell counts, the null hypothesis is that the variances of the two cell counts are equal. Since our F value is greater than the F critical 1-tail value(4.01385 > 1.7571) we reject the null hypothesis and accept the alternative hypothesis that they are of different variances. This fact allows us to use the correct t-test, the two sample t-test assuming unequal variances. The results of this T-test for the cell counts, gives us a p-value of 2.1007E-9. This p-value is much lower than .05 indicating strong evidence against the null hypothesis that the means of the two sets of data are equal. This means that the means we calculated for the treated and control groups have a statistically significant difference suggesting that the polypropylene does indeed have an effect on the cell counts of the Tetrahymena. According to the data, polypropylene increases the cell count for Tetrahymena when mixed in the solution. When looking at the behavioral assay, we see that the data for both the treated and the control show a normal distribution of frequencies. The F-test results (F=5.9064 > F crit 1-tail=1.7774) similarly reject the null hypothesis that the variances of the two swim speeds are equal. We can then use the same t-test for the behavioral assay. This calculated p value is 3.3648E-6, much lower than .05 indicating that there is a strong statistical difference between the means of the two swim speed analyses. From the t-test we can infer that, the introduction of the independent variable polypropylene enhanced the swim speed of the tetrahymena cells. The stats were important in determining wether or not the results were random, equal or different. If we indeed found that the means were equal or of random nature, we would have to conclude that the experiment yielded no significant difference between control and treatment and the polypropylene had no effect on the Tetrahymena. The experiment overall rejected our original hypothesis that the polypropylene would have a negative effect on the ciliates. It is an interesting conclusion because it leads us to ask more questions about our procedure. Did the twine juice actually get treated enough to assume that no outside bacteria was included in the treated sample that the PPT sample did not? In the future if we were to go back through the experiment, it would be important to address these questions and compare those results to the ones we observed today.

 

 

October 5

Lab #7 Toxicity Assay; Controls and Treatment

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Lab #7 Toxicity Assay; Controls and Treatment

10/04/18

Haiden Jordal

Objectives: 

Today’s objective is to finally run through our experiment. Using the results we get from this experiment we should be able to answer or scientific question and either accept or reject our original hypothesis. The question we are testing in lab is: Will the introduction of micro plastics to a solution of T. pyriformis cells have a significant effect on the ciliates’ growth or mobility? Our hypothesis inferred that it will have a significant negative effect on the Tetrahymena’s reproductivity and ability to move.

Procedures:

Sampling

  1. Find the lab counterpart that performed the same behavioral assay as me in the last lab.
  2. With the new partner, label two test tubes, one Treated and one Control.
  3. Obtain the flasks of samples and be sure to swirl before pipetting.
  4. Use the serological pipette to transfer 4 ml of the solution of tetrahymena treated with the twine juice into the tube labled “treated”. Transfer 4 ml of the solution of tetrahymena mixed with the PPT media into the tube labeled “control”.
  5. Place tubes in test tube rack to carry.

Spectotrophometers

  1. Measure the optical density at wavelength 600 nm of each solution of: PPT, PPT + Twine Juice, PPT + TH, and PPT + Twine Juice + TH.

Cell Counts

  1. Working quickly, so as to prevent the drops from evaporating, Transfer 2 ul of each of the treated and control Tetrahymena onto a flat slide.
  2. Add 1 ul of Iodine to the drops.
  3. Observe the drops under the compound microscope and locate the most appropriate magnification for counting cells.
  4. Take a picture of the slide to count later for accuracy.
  5. Repeat the process with two more drops each of the treated and control samples.
  6. Take the average of the cell counts for each sample and calculate the average concentration of TH cells/ml.
  7. Use the equation (avg of cells/ 3ul) x (D.F. 10) x (1000 ul/ml) x 1.5 = concentration (cells/ml)

Behavioral Assay (swim speed)

  1. Place 20 ul of each culture on a clean flat slide
  2. Set the slide on top of a metric ruler over the mm side.
  3. Observe the cells under a dissecting microscope.
  4. Choose one specific cell and use a timer to record the time it takes the cell to move from the inside of one mark the inside of the next.
  5. Write down the time and repeat the process for at least 10 cells.
  6. Calculate the average time and speed using mm/s.
  7. Repeat that whole process for the other drop of culture.

Alternative Assays

  1. Madalyn performed the directional change assay and Kelsi performed the vacuole formation assay.

Observations:

Cell Count

Trials 1 2 3 Avg
Treated 43 cells 57 cells 96 cells 65.3
Control 17 cells 26 cells 10 cells 17.6

Concentration of treated cells: 326,500 cells/ml

Concentration of control cells: 88,000 cells/ml

Optical Density

PPT .025
PPT + TH + TJ .077
PPT + TH .058
PPT + TJ (calculated) .044

Behavioral Assay

Cells 1 2 3 4 5 6 7 8 9 10 Avg
Treated(mm/s) .52 .66 .42 .53 .38 .31 .45 .50 .46 .56 .47
Control(mm/s) .28 .24 .27 .20 .38 .26 .36 .26 .21 .25 .26

Treated cells moved at a pace around .21 mm/s faster than the control cells.

Storage:

At the aseptic area, the serological pipette was left for other groups to use. The slides used for cell counts and behavioral assay were cleaned and stored on the counter to dry. The micro pipettes were put back on the racks and the used tips were disposed into the tip cups. Both microscopes were turned off, covered and moved back to the center of the lab table. The tubes of both the treated and control samples were left in their racks on the table alongside the rack containing the iodine.

Conclusion:

The results of this experiment show both an increase in cell count for the Tetrahymena in the treated culture and an increase in mobility for those same cells observed in the behavioral assay. The increase in cell concentration was quite significant going from 88,000 cells/ml in the control group to 326,500 cells/ml in the treatment group. This change suggests that the cells interacting with the micro plastics in the treatment group were able to reproduce and stay alive at a much higher rate that the control, contradicting our hypothesis. This contradiction is continued with the observation of the behavioral assay and the fact that the treated cells moved approximately .21 mm/s faster than the control cells. So not only were they more abundant in the treatment, something about the micro plastics enhanced the mobility of the Tetrahymena.

Future Steps:

In the near future, our individual results will be shared on a spreadsheet to the entire class. The observations can then be compared and a pattern or common result may be identified. Upon this realization, a better conclusion can be made as to whether or not the treatment negatively or positively affected the Tetrahymena. According to my results alone, it would appear t be positive, but that does not rule out any experimental random error. It is also important to start thinking systematically and brainstorm how our results can be used to understand further relationships that micro plastics an playa part in in the real world. If in fact the micro plastics have an immediate positive effect on Tetrahymen, the long term effects are still unknown and can be of equal if not more importance. We should be sure to look into the procedure of heating and filtering and determine if the process of obtaining the micro plastics could be flawed in the fact that it is not completely sterile.

September 28

Lab #6 Toxicity Assay; Cell Counts

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Lab #6 Toxicity Assay; Cell Counts

09/27/18

Haiden Jordal

Objectives:

Today’s lab was separated into three parts. Preparation of our twine juice to be used later, cell counts of Tetrahymena, and observations of behavioral and lysosomal assays on Tetrahymena. The main objectives of these was to practice and master the skill of serial diluting and cell counting. In addition to practice it will be important to observe which assay procedure is the most accurate and easiest to replicate. The assays include a simple swim speed assay, a direction change change assay, and a vacuole formation assay.

Procedures:

-Preparation of Twine Juice

  1. Begin by cutting the twine into small pieces with scissors.
  2. Continue the process of breakdown until you cut enough pieces to weigh 0.5 g.
  3. Place the pieces of twine into a glass jar and add to it 50 ml of PPT media.
  4. Give to the instructor to begin the heating and boiling process in order to breakdown the pieces into microplastic size.

-Cell Counts

  1. Add 20 ul of cells to 5 ul of Iodine, effectively killing the tetrahymena cells.
  2. Using a micropipette, take up 3 separate 5 ul drops of the solution and place them on a concave slide.
  3. Observe the slide under the compound microscope and record the number of cells.
  4. If the cell count is higher than 50, use a serial dilution to try and reduce the amount of cells per drop.
  5. Start the serial dilution by adding an amount of media to the solution and mixing up and down with the micropipette.
  6. If the cell count is still too high repeat dilution until satisfactory. In this case we repeated the dilution several times before coming to a dilution factor of 10.
  7. Record the number of cells observed after the dilution of all three drops.
  8. Take the average of the drops.
  9. Use the average to calculate the cell concentration in cells/ml.
  • Formula: (average cells/5ul)x(10)x(1.2)x(1000ul/1ml)= cell concentration
  • 10 = dilution factor, 1.2 = concentration of iodine

-Behavioral Assay (Simple Swim)

  1. Place 20 ul of culture on a clean flat slide
  2. Set the slide on top of a metric ruler over the mm side.
  3. Observe the cells under a dissecting microscope.
  4. Choose one specific cell and use a timer to record the time it takes the cell to move from the inside of one mark the inside of the next.
  5. Write down the time and repeat the process for at least 10 cells.
  6. Calculate the average time and the standard deviation.

-Alternative Assays

  1. The Directional Change Assay was performed by Madalyn and it observed the number of times the cell changes direction by more than 17% during 10 second intervals of 10 different cells.
  2. The Vacuole Formation Assay was performed by Kelsi and it determined how fast the vacuoles of tetrahymena are forming by counting the number of vacuoles you seen in ten minute intervals. Cells under different conditions may form vacuoles at differing rates and the Indian Ink particles help you observe this.

Observations:

-Cell Count

(After a dilution of 1:10)

Trials 1 2 3 Avg
Cells 26 19 18 21

Cell Concentration: 50,400 cells/ml

-Behavioral Assay

Cells Trials 1 2 3 4 5 6 7 8 9 10
Time to travel 1 mm ( s) 4.31 3.1 3.95 7.68 3.88 4.10 5.60 2.03 2.71 3.96

Average time: 4.132s

Average swim speed: 0.242 mm/s

Standard Deviation: +/- 2.37

Storage:

At the end of the twine juice preparation, the jars of PP and media were placed in the microwave to be heat treated by the instructor and stored for later use. After the Cell count, the compound microscopes were placed on lowest magnification while the stage setting was moved all the way down and placed back in the middle of the table. The concave slides and the petri lids were washed and put on the counter to dry. The PPT media that was used remained in the jar at the front of the classroom, and the iodine and tetrahymena sample tubes were placed in the rack at the middle of the lab table. Micropipette tips were discarded. After the final set up, the dissecting microscopes that were used were turned off, covered and moved back to the middle. The ruler went back on the counter, by Dr. Adair, and the flat slide was cleaned and left to dry on the counter as well.

Conclusion:

The cell count procedure resulted in a calculated concentration of 50,400 cells/ml. This number represents an approximation of cells of tetrahymena per ml of liquid. The process of diluting the sample to gain a countable set of cells is important for observing cell populations in treated solutions for experiments with polypropylene. Since one of the ways to determine wether or not micro plastics have an effect on tetrahymena is to observe their survival rate after the treatment of cells, practicing this technique is important for accurate results. From the behavioral assay, it was concluded that the average swim speed of tetrahymena was 0.242 mm/s. With this information, any future results of tetrahymena swim speed can be compared to this average and a conclusion can be made as to whether or not the addition of micro plastics effects their mobility. A similar conclusion can be made from the results of the other assays.

Future Steps:

In the end it will be important to decide which assay was the easiest to accurately and precisely replicate so that we can use it in our future tetrahymena experiments. A few important steps to follow in the future will include the continuation of the initial experiment that we began the lab with. After the boiling of the “twine juice”, the juice must be filtered by using a 5 um filter paper into a sterile 50ml tube. This is done in order to get rid of any of the big pieces of twine that may remain and hold the juice to only containing micro plastics. Next, the juice must be autoclaved and stored. Then an ideal sample should be identified and aliquoted so that each group will be sing the same micro plastic. This will then become the micro plastic sample to be used when testing it’s effect on the behavior, function, or survival of tetrahymena.

September 20

Lab #5: Experimental Design and Serial Dilutions

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Lab #5: Experimental Design and Serial Dilutions

09/20/18

Haiden Jordal

Objectives:

There were three parts to this lab. First the purpose of obtaining the soil samples from the soil around the trees is to later be used in research of soil ciliates. The second part, was serial dilutions. The objective of this part was to teach students to use micropipettes to dilute a solution in order to calculate a concentration of cells when there is an overwhelming amount of cells to count in an original solution. The last part in the computer lab allowed students to record their results from in the lab on a class wide spreadsheet. It was also necessary to brainstorm and identify an experimental design to go along with an experimental question and hypothesis. All of which should be testable and ready to replicate in lab.

Procedure:

-Soil Collection

  1. Choose an area of soil within the rhizosphere of a bald cypress tree by the creek to collect a soil sample.
  2. Bring the soil sample to lab for labeling and record the mass of the soil.
  3. Place sample inside a petri dish under the vent hood for later use.

-Practicing with Pipettes

  • Use water to practice picking up and dispersing different amounts with the newly introduced 1000 ul pipette.

-Serial Dilutions

  1. Identify the stock solution of the 24-well plate and observe the activity of the Tetrahymena under the dissecting microscope.
  2. Transfer 900 ul of media to each of four wells in a single column using the 1000 ul micropipette.
  3. Transfer 100 ul of the Tetrahymena stock to the first well and label it 10^-1.
  4. Mix around the solution by pipetting it up and down. Then change tips.
  5. Transfer 100 ul of the solution of the first well into the second well and mix. Change tips.
  6. Repeat this process for the remaining wells.
  7. Determine the well that has a countable concentration and transfer 5 ul of it to a concavity slide.
  8. Observe the slide under the compound microscope at 4x magnification and then at 10x and record the number of cells transferred.
  9. Repeat this twice with two more wells.
  10. Calculate the concentration of cells in cells/ml.
  11. Formula-    cells/ml = (# of cells/ volume of drop ul)x(1000 ul/ml)x(dilution factor)
  12. In the computer lab, transcribe the results from lab onto the spreadsheet provided by Dr. Adair for class data.

-Experimental Design

  1. Utilize the computer lab to find research and brainstorm an experimental question.
  2. Based on the question, create a falsifiable hypothesis.
  3. Design the experiment, explain the methods including the set up making sure to list the control and tested variable.

Observations:

Soil:

Mass of empty petri dish 5.8g
Mass of petri dish and soil 32.7g
Calculated soil mass 26.9g

Serial Dilutions:

Trial # Dilution observed # of cells in 5 ul # cells/ 5 ul X dilution X 1000 ul in ml
#1 10^-1 7 1.4 14 14,000
#2 10^-2 1 0.2 20 20,000
#3 10^-3 1 0.2 200 200,000
Average 78,000

Experimental Design:

  • Experimental question: How will the introduction of propylene microplastics effect the population of living Tetrahymena ciliates?
  • Hypothesis: The propylene will decrease the survival rate of tetrahymena in the contaminated populations.
  • Experimental design: Using 24 well-plates, there will be two rows of observation: one with six control groups and the other with six treated groups. There will be media placed in the control groups to maintain the single variable of the microplastics. This is done in order to reduce error. The original population size will be recorded and then recorded again once a week for three weeks to observe the continual growth or decay of populations of all twelve wells.

Storage:

The micropipettes were put back on the rack after use while all of the pipette tips were disposed into the tip waste cups. The compound microscope was put back in the center of the lab table and covered after being set to 4x magnification and lowered to lowest stage setting. The dissecting microscope was turned off and placed back in the middle as well. The 24 well-plate and the media used in the dilution were both stored towards the side of the table, while the concavity slide was washed and placed on the counter to dry. The unused tips were put back in the lab drawer to the side, and the lab instructions went back in the drawer in the center of the table. In the computer lab the computers were properly logged off of.

Conclusion: 

In lab, I learned the valuable skill of serial diluting. It is essential in determine the concentration of microscopic cells when there are far too many cells to count in a single sample. Diluting the sample to keeps the concentration constant while the number of visible cells reduces. This makes counting them and calculating the average number of cells per much easier and accurate. In addition, we began our first steps to creating our own scientific literature by using the framework of other sources and a guide to come up with our experimental design and method. It is evident that continuing to use scientific literature in our research will be key to effectively producing our own publishable experiment. In lab today, we came up with the idea to use propylene as our microplastic toxin as it is one of the most abundant microplastics in the world.

Future Steps:

In the future with our new groups, we will be starting our development of our experiment. Further research will be needed to understand the habits of Tetraahymena over time. Also while we decided upon propylene, it could be useful to research other types of potential microplastics that can be hazardous to soil ciliates like tetrahymena and whether or not we are using the best one for observation.

September 14

Lab 4: Meet Tetrahymena

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09/13/18

Haiden Jordal

Objective: Students will observe tetrahymena under different magnifications and microscopes. With further observations, students will be able to learn more about the model organism and how it functions. Students will also learn how to use micropipettes and use their primary source evaluating skills to find articles relevant to the research of tetrahymena.

Procedure and Materials:

  1. Practice using the micropipettes with disposable pipette tips using water and varying measurements.
  2. Obtain a tetrehymena sample in the 24-well plate.
  3. Observe the Tetrahymena in the well plate under the dissecting microscope.
  4. While looking through the microscope, pick up 5 ul of cells using a P-10 micropipette.
  5. Place the 5 ul of cells on a concavity slide and observe them under the compound microscope.
  6. Approximate the diameter of a cell with the knowledge of the FOV measurements.
  7. Record observations in lab notebook.
  8. Utilize the computer lab to brainstorm and research articles relating to possible experiments to be conducted between tetrahymena and microplastics.

Observations:

Trials Number of Cells in 5 ul Approximate diameter of the cell
1 (40x) Over 100 60 um
2 (100x) 50 36 um
3 (400x) 20 30.1 um

 

Dissecting Microscope  
Compound Microscope 40x  
Compound 100x  

Equipment Storage: Slides were cleaned and left to dry on the counter. Microscopes were covered after being set on lowest magnitude and stage brought up, and placed back in the middle of the lab table. The three ringed activity binder was placed back in the middle drawer. And all of the micropipette tips were disposed and the micropipettes were hung back on the rack in the center of the table.

Conclusion: Tetrahymena play an important role in biology and the study of genetics and many other cell functions. It is evident that the cells are easy to observe based on the amount of cells we could study under the microscope at one time. Also, since tetrahymena are easy to acquire, it makes replicating experiments and results quick and cost effective. With the different levels of magnification under the microscope and the FOV measurment calculated last week, I could approximate the diameter of one average tetrahymena cell to be around 30 micrometers(um).

Future Steps: With what we started in the computer lab, it will be important to study the tetrahymena more closely and accurately to be prepared to use them in our own experiments to understand the relationship between them and microplastics. Scientific literature will be a big resource to gaining the information necessary to understand their functions. In our experiment, we will be conducting trials of survival rates of tetrahymena that are exposed to soil contaminated with microplastics versus tetrahymena that are living in pure soil. The significance of this research is to find potential solutions to the looming threat of microplastic pollution to our biological ecosystem. With effective experiments we will be able to focus our area of study to wether or not microplastics will have a profound effect on soil organisms and wether or not that effect should be detrimental to the environment as a whole.