*significant difference b/t post and pre on item #2

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A NOVEL LABORATORY ACTIVITY FOR TEACHING ABOUT THE EVOLUTION OF
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MULTICELLULARITY
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William C. Ratcliff1, Alison Raney2, Sam Westreich2, Sehoya Cotner2*
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Ecology, Evolution and Behavior, University of Minnesota, Minneapolis, MN, 55108 USA
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Biology Program, University of Minnesota, Minneapolis, MN, 55108 USA
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*Correspondence: Sehoya Cotner, harri054@umn.edu, phone: 612-626-2385 fax: 612-626-
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A NOVEL LABORATORY ACTIVITY FOR TEACHING ABOUT THE EVOLUTION OF
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MULTICELLULARITY
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Abstract
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The evolution of complexity remains one of the most challenging topics in biology to teach
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effectively. Here we present a novel laboratory activity, modeled on a recent experimental
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breakthrough, in which students experimentally evolve simple multicellularity using single-celled
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yeast (Saccharomyces cerevisiae). By simply selecting for faster settling through liquid media,
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yeast evolve to form snowflake-shaped multicelled clusters that continue to evolve as
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multicellular individuals. This paper presents core experimental and curriculum tools, including
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discussion topics and assessment instruments, and provides suggestions for teacher
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customization. Pre and post-lab assessment demonstrates that this lab effectively teaches
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fundamental concepts about the transition to multicellularity. Yeast strains, the student
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laboratory manual and an introductory presentation are available free of charge.
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Keywords: multicellularity, evolution, complexity, authentic, experimental evolution, curriculum
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Introduction
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A growing body of literature documents a range of strategies for teaching about evolution (see
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Wei, et al., 2012, and references therein), including direct experimentation with live organisms
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(e.g., Drosophila a la Plunkett and Yampolsky, 2010), role-playing (e.g., Reichert et al., 2011)
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and computer simulation (e.g., Abraham et al., 2012). Financial and temporal constraints
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typically limit hands-on experimentation to a few generations, suitable only for microevolutionary
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questions. As a result, large-scale phenotypic change (macroevolution) is taught only via
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lecture, computer simulations or other abstract representation. The origin of multicellularity from
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unicellular ancestors was a major transition in evolution (Maynard Smith and Szathmary, 1995).
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Despite its fundamental importance in the evolution of large, complex organisms, the evolution
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of multicellularity has never (to our knowledge) been incorporated into student labs or active-
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learning exercises. This omission is unfortunate, for copious work (Simurda, 2012, Armbruster
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et al., 2009, Bailey et al., 2012; also see Bransford, 1999 for review) demonstrates the value of
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using hands-on methodology to promote deeper understanding and internalization.
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Ratcliff et al. (2012) carried out a novel experiment to evolve simple multicellularity in the lab,
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starting with single-celled microbes. The authors created an environment that favored strains
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that evolve to form clusters of cells (the first step in the transition to multicellularity) by
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subjecting baker’s yeast (Saccharomyces cerevisiae) to daily selection for fast settling through
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liquid media. Within just a few weeks, yeast that formed snowflake-shaped clusters of cells
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evolved and displaced their single-celled ancestors. “Snowflake” yeast display several hallmarks
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of multicellularity, including juvenile and adult life stages, determinate growth, and a rudimentary
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cellular division of labor utilizing programmed cell death.
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Here we describe a new laboratory exercise, modeled on the experiment of Ratcliff et al. (2012).
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Using simple procedures and inexpensive materials, we have developed and tested a three-
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week lab that involves students in cutting-edge research and encourages them to think critically
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about the evolution of multicellularity.
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Methods
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In Spring 2012, over 300 university students enrolled in either Animal Diversity or General
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Zoology—organismal biology courses with an introductory-biology prerequisite—participated in
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an “Evolution of Multicellularity” laboratory exercise. Students were divided into 16 sections of
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~18 students. Undergraduate teaching-assistants oversaw the practical aspects of the lab
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activities.
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The laboratory exercise
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The complete written lab protocol (for students) and introductory PowerPoint presentation are
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available at: http://www.cbs.umn.edu/bioprog/staff/cotner/
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The following materials are necessary, and with the exception of an autoclave and shaking
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incubator, relatively simple and inexpensive to obtain:
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 Unicellular yeast (strain Y55)*
 Snowflake yeast, evolved after 3 weeks of selection (strain Y55_wk3)*
 YPD media (recipe in Box)
 Test tubes for cell culture (25 mm X 150 mm)
 Test tube racks
 1.5 mL microcentrifuge tubes
 100 µl micropipettors
 Micropipette tips
 Serological pipettes – (5 mL)
 Serological pipettes – (25 mL)
 Bulbs for the serological pipettes
 22x22 mm coverslips
 Microscope slides (plain)
 Microscope slides (concave)
 Autoclave
 Shaking incubator
 Compound microscope
 Rulers
*Yeast strains can be obtained free of charge by contacting S. Cotner (harri054@umn.edu).
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The lab procedure spans three weeks, with daily settling selection and transfer to fresh media.
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Each day, students perform a round of settling selection, and then transfer surviving yeast to
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fresh media (see Figure 1 for an overview). Students start with either unicellular yeast (strain
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Y55), or a snowflake strain that previously evolved during 3 weeks of daily transfer (Y55_wk3)
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using the “faster settling selection” regime (Figure 1a). Using both strains allows the students to
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examine 6 weeks of evolutionary time in only three weeks, or approximately 300 generations of
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yeast.
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Using unicellular yeast (str. Y55), students will select only for faster settling, favoring strains that
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evolve to form clusters. Using snowflake yeast (str. Y55_wk3), students will examine the ability
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of selection to act on differences among clusters, selecting for either faster or slower settling.
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BOX. PROTOCOLS
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YPD media preparation
Ingredients:
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20 g dextrose
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20 g peptone
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10 g yeast extract
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 Dissolve the above ingredients into 1 L water.
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 Bring the final volume up to 2 L.
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 Using the 25 mL serological pipette, aliquot 5 mL YPD into each 25 mm X 150 mm test tube,
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and place into test tube racks.
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 Cap tubes.
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 Autoclave to sterilize.
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Initial tube inoculation
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 Obtain three test tubes containing 5 mL YPD.
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 Inoculate one tube with 100 µl of the Y55 stock culture, and two tubes with 100 µl of
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Y55_wk3.
 Label each tube with the inoculation date, strain, and selection scheme (i.e., faster or slower
settling). Incubate overnight (30ºC, shaking).
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Settling selection (days 2+). See Figure 1 for illustrations.
 Obtain three test tubes containing 5 mL YPD. Label tubes with transfer number, strain, and
selection scheme.
 Obtain a 5 mL serological pipette with bulb.
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Selection for faster settling
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 Suck up 5 mL of the turbid yeast culture into a 5 mL serological pipette.
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 Allow the pipette to stand upright in a glass beaker or pipette rack for 10 minutes. Make sure
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the media is not leaking out. If the pipette leaks, seal the bottom with a piece of parafilm.
 Transfer the bottom 0.5 mL to sterile YPD.
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Selection for slower settling
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Same as above, but after 10 minutes of settling, discard the bottom 4.5 mL of media in the
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pipette, transferring the top 0.5 mL to sterile YPD.
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Repeat the settling selection ~20 times, viewing samples under the microscope at weekly
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intervals to track progress. Labs that only meet once or twice a week will require careful
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planning: daily transfers can be accomplished by allowing separate lab sections to transfer the
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same populations. Instructors, TAs and students may be required to perform transfers when no
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class is scheduled to meet. When daily selection cannot be performed (such as during a
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weekend), place the selection lines in the refrigerator.
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***************************************************************************************************
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Figure 1. Settling selection protocols illustrated. Selection regime for faster settling (A), or
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slower settling (B). Snowflake yeast evolve faster settling by evolving larger size. Shown in (C)
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is an isolate taken from 14 transfers, and in (D) 60 transfers. The cluster in (D) is larger both
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because there are more cells per cluster, but also because the size of individual cells has
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increased.
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Analyses to perform on the last lab
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By the last lab, each selection line should have undergone about 20 transfers, or ~150
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generations. As time permits, have the students measure the following traits on both the
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evolved lines and the ancestors used on day 1 (regrown from stock cultures):
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1) Cells per cluster. Faster settling mainly results from the evolution of larger clusters.
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To measure cells per cluster, students first need to dilute each population grown in
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YPD 10-fold into nonsterile water, adding 100 µl culture to 900 µl water in a 1.5 mL
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microcentrifuge tube. Mix by inversion, then place 5 µl onto a standard slide with
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coverslip, and view on a compound scope. Have each student or group of students
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find the largest cluster on a slide and count the number of cells in it.
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2) Cell size. Larger clusters of Y55_wk3 will sometimes evolve as a consequence of an
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increase in the size of individual cells. Think of this as building a larger house not by
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changing the design, but simply by using larger bricks (Figure 1 C,D). Have students
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note the size of cells in the evolved lines relative to the single-celled ancestor.
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3) Settling speed. Suck up 5 mL of each of the five populations (two inoculum strains
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plus three selection lines) into a serological pipette, stand upright for 5 minutes.
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Using a ruler, measure the height of the cell pellet that forms at the bottom of the
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pipette. This measurement is a proxy for settling rate.
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Measures 1 and 3 can be reported to the teacher and graphed for the whole class, allowing
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students to examine the distribution of maximum cluster size and settling speed for their evolved
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lines, relative to their starting lines, across multiple independently evolving replicate populations.
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Additional exploration
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Expanding on the above selection schemes is possible and encouraged, but depends on time,
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student interests and abilities, and equipment availability. Additional projects could focus on
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other ecological scenarios that could favor the evolution of cell clusters, such as evasion of
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small-mouthed predators (e.g., Daphnia or Paramecium), protection from UV exposure or
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desiccation, or increased resistance to antibiotics. Students can investigate various hypotheses
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about size-related advantages using simple, inexpensive and readily available supplies (e.g.,
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UV lamps and live zooplankton). Students with access to a fluorescent compound microscope
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can explore the evolution of programmed cell death (apoptosis) in snowflake yeast through
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live/dead staining, following protocols described in Ratcliff et al (2012).
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Possible Discussion Topics
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Certain themes may arise during post-lab discussions or written reflections, including the
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following:
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 What is experimental evolution?
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Experimental evolution involves testing hypothesis about evolutionary processes
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in controlled laboratory or field settings. By observing evolutionary change in an
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organism, such as yeast over generations, students can view evolution in action
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in an ecologically relevant context. With organisms that have short generation
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times, experimental evolution allows students to see morphological change
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occurring over relatively short timescales.
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 Did multicellularity arise more than once?
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Multicellularity has evolved at least 25 times independently (Grosberg and
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Strathmann, 2007), resulting in multicellular organisms as diverse as animals,
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plants, seaweed and fungi. The purpose of this exercise is not to suggest that
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settling selection led to the evolution of multicellularity in any of these groups.
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Instead, the goal is to demonstrate that simple environmental constraints and
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relatively few generations could have been sufficient for the evolution of a key
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step in these transitions.
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 What are benefits and costs of multicellularity?
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Early multicellular organisms likely benefit from their larger size, resisting things
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like predation, toxin or UV exposure, or desiccation. More derived multicellular
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organisms benefit from cooperation among component cells. This division of
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labor can allow multicellular organisms to perform some tasks more efficiently,
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and can facilitate the evolution of complex traits (like differentiated tissues) that
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provide novel multicellular-level functionality.
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Multicellularity is not without its costs, however. Multicellular organisms require
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more resources and take longer to mature than unicellular organisms. Further,
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their complexity makes them more vulnerable to disruption. For example,
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conflicts among cells within an organism, such as cancer, can lead to dissolution
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and death of the organism; cancer is a problem not faced by single-celled
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organisms.
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 Is multicellularity reversible?
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In principle, all multicellular organisms should be able to evolve back to
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unicellularity. It may be difficult to imagine complex multicellular organisms like
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vertebrate animals evolving back to unicellularity, because individual cells are so
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specialized and integrated into the multicellular whole. However, whether or not
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increased multicellular complexity makes it more challenging to evolve back to
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unicellularity remains an open question. The HeLa cell line presents an
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interesting example of the evolution of unicellularity from a human ancestor.
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Cervical cancer cells isolated from Henrietta Lacks have been grown in the lab
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since 1951, and are so widely used that their collective biomass is estimated to
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be about 50 million tons. HeLa cells are exceptionally adapted to life as a single-
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celled microbe, and have become a major contaminant of laboratory cultures
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(Skloot, 2011). Their success as a unicellular organism has even led to a formal
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description as a new species of microbe, named Helacyton gartleri (Van Valen,
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1991).
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 What is the distinction between a multicellular organism and a multi-celled cluster?
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Scientists have not reached consensus on what constitutes a multicellular
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organism. Like other prominent concepts in biology (e.g., what counts as alive,
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what species are, etc.), determining if an organism is multicellular is trivial at the
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extremes of the spectrum (e.g. E. coli and blue whales), but challenging for
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intermediate states. A key question is: when does a cluster of cells stop being a
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group of single-celled organisms, and become one multicellular organism?
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One way to answer this is to determine if single cells are still 'individuals', or if
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they are 'parts' that work together for the benefit of the multicellular individual,
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like skin cells in animals. Put into evolutionary terms, once the Darwinian fitness
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(survival and reproduction) of single cells within the cluster is less important than
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the contribution of single cells to the fitness of the cluster, then the group of cells
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can be considered to be a multicellular organism. Ratcliff et al (2012) show that
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single cells in snowflake yeast evolve to commit cellular suicide (apoptosis), to
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act as 'break points' within the multicellular cluster. This reduces the fitness of
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single cells (they die), but increases the fitness of the cluster, allowing it to
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regulate the number and size of propagules they produce. So by this definition,
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snowflake yeast (at least those that have evolved apoptosis) can be considered
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simple multicellular organisms.
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Assessment
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In order to determine the level of background knowledge demonstrated by the students,
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individual assessments were given to each student before the laboratory exercise (see
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Appendix 1). Nine weeks after the laboratory exercise, the students were each given a similar
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post-exercise assessment, designed to test their retention of the material. Statistics were
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calculated only for students that completed both pre and post-exercise assessments. Matched-
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pairs t-tests were performed for each question, with error from multiple comparisons controlled
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with a Bonferroni correction.
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Results & Discussion
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Students demonstrated a noticeable improvement in the understanding of the underlying
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concepts behind the evolution of multicellularity. Students were noticeably better at explaining
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various concepts--such as cellular division of labor, cell-to-cell communication, the differences
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between specificity and differentiation, and how multicellularity can be more efficient--on the
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post-exercise assessment, in comparison with the pre-exercise assessment. Students were also
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able to articulate specific benefits and weaknesses of multicellularity on the post-exercise
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assessment.
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Substantial improvement was seen for the question in which students identified that
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“multicellularity arose several times, in several independent lineages (Figure 2);” the pre-lab
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average was 66.2% correct and the post-lab average was 79.7% correct (t147 = 2.84; p<0.01).
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This finding indicates that not only did most of the students understand that multicellularity
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evolved in multiple lineages, but that the exercise was able to emphasize this idea. Students
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also showed noticeable improvement in listing advantages of multicellularity: students were able
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to list an average of 2.68 logical benefits on the pre-lab quiz, and 2.89 benefits after the
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exercise and discussion (89.9% and 96.3% of the maximum number of correct answers,
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respectively. t147= 4.67; p<0.001). Similarly, prior to the lab students could list an average of
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2.07 possible disadvantages of multicellularity, compared to a post-lab average of 2.53 (69%
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and 84.3% of the maximum number of correct answers, respectively t147= 6.12; p<0.001).
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Figure 2. In a pre- and post-lab assessment, students showed improvement in their
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understanding of the origins of multicellularity (q2), and could better articulate possible benefits
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(q3) and disadvantages (q4) of multicellularity over single-celled existence. Error bars are the
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SEM, asterisks indicate statistical significance below p=0.05 (corrected for multiple
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comparisons). Students did not show significant improvement in their understanding which
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groups of organisms are multicellular (question 1). See Appendix 1 for a full list of assessment
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instruments.
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In the pre-exercise assessment, the most commonly described benefits of multicellularity were
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physical characteristics of the organism, such as an improved ability to gather food, adapt to
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novel environments, and survive after the death of individual cells. In the post-exercise
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assessment, students were more likely to discuss benefits such as division of labor, specificity
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of cell tasks, and physical differentiation of cells increasing the overall energy efficiency of the
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individual. Similarly, students tended to list physical qualities (higher risk of predation, reduced
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surface area to volume ratio) as disadvantages of multicellularity on the pre-exercise
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assessment, while they favored innate qualities related to the evolution of multicellularity (higher
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total energy costs, conflicts among cells, greater fragility due to higher complexity) on the post-
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exercise exam. This change demonstrates a shift in thinking from merely observing the physical
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effects of a specific quality to considering the greater implications of evolving into
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multicellularity, as well as the associated benefits and the obstacles that must be overcome by
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the organism.
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These trends are especially promising, as the post-exercise assessment was not given to the
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students immediately after completion of the laboratory exercise, but nine weeks later. Thus,
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students demonstrated that they were able to master and apply the core concepts from the
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laboratory, and were able to retain these concepts and apply them to similar problems more
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than two months afterwards.
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Recommendations
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We encourage our colleagues to modify this lab activity to suit their curricular needs. However,
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we can make a few recommendations based on our experiences. Brief introductory materials,
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discussing the basics of yeast biology and the advent of multicellularity, were sufficient for
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engaging students in a discussion of the experiment and associated predictions. Clear
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directions, tailored from the Ratcliff et al (2012) experiment, should be given to both the
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students and the teachers/staff. These directions should include a day-to-day plan for the first
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week to ten days, specifically instructing teaching staff in how to refresh the growth media and
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how to maintain the selection regime. After the first week, the process—growth, selection, and
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inoculation of new media—repeats itself.
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We recommend sharing a week-by-week layout with the students, outlining the plan for the
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duration of the exercise. Student lab materials should contain ample writing and drawing space,
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so that the students can describe what they are seeing on the slides (prepared from small
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amounts of yeast from both the unicellular to multicellular selection lines, and the divergent
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selection lines) in words and pictures, and collect appropriate data. Whenever possible, we
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recommend that data for the entire section is pooled, allowing the students to examine the
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evolution of snowflake yeast traits in multiple independently evolving lineages.
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Conclusion
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Yeast, with their short generation time and large population sizes, are an ideal model for
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teaching about evolution and natural selection. This lab activity not only allows the students to
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explore the process of evolution through the origins of multicellularity, but can also lead to
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thoughtful discussion of (1) how multicellularity arose more than once, (2) how multicellularity
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incurs costs and is, as predicted, reversible; and (3) the distinction between multicellularity and
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colonial unicellular organisms. Additionally, students become familiar with materials (e.g.
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micropipettes and growth media) that are used in advanced teaching and research laboratories.
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Hands-on activities that are authentic (i.e., using real organisms and legitimate unexplained
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phenomena) are ideal for clarifying misconceptions and affecting conceptual change (e.g.,
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pertaining to evolutionary biology; see Chinsamy and Plagányi, 2008). Few topics in
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evolutionary biology challenge educators like the origins of complexity. The popularity of non-
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scientific explanations, such as Intelligent Design and other forms of creationism (Scott and
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Matzke, 2007), attests to our limited ability to address complexity in a scientifically meaningful
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way. Thus, we are especially attracted to this demonstration of a legitimate, intellectually
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available mechanism for the origins of multicellularity.
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Acknowledgements
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This work was supported by the National Science Foundation, grant no. DEB-1051115.
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Literature Cited
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Abraham, J.K., Perez, K.E., Downey, N., Herron, J.C. & Meir, E., 2012, Short Lesson Plan
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Associated with Increased Acceptance of Evolutionary Theory and Potential Change in Three
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Alternate Conceptions of Macroevolution in Undergraduate Students, CBE-Life Sciences
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Education, 11(2), pp. 152-64.
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Armbruster, P., Patel, M., Johnson, E. & Weiss, M., 2009, Active learning and student-centered
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pedagogy improve student attitudes and performance in introductory biology, CBE-Life
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Sciences Education, 8(3), pp. 203-13.
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Bailey, C.P., Minderhout, V. & Loertscher, J., 2012, Learning transferable skills in large lecture
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halls: Implementing a POGIL approach in biochemistry, Biochemistry and Molecular Biology
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Education.
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Chinsamy, A. and Plagányi, E. 2008. Accepting evolution. Evolution, 62, pp. 248-254.
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Grosberg, R.K. & Strathmann, R.R., 2007, The evolution of multicellularity: a minor major
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transition? Annu. Rev. Ecol. Evol. Syst., 38, pp. 621-54.
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Plunkett, A.D. & Yampolsky, L.Y., 2010, When a Fly Has to Fly to Reproduce: Selection Against
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Conditional Recessive Lethals in Drosophila, The American Biology Teacher, 72(1), pp. 12-5.
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Ratcliff, W.C., Denison, R.F., Borrello, M. & Travisano, M., 2012, Experimental evolution of
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multicellularity, Proceedings of the National Academy of Sciences, 109(5), pp. 1595-600.
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Riechert, S.E., Leander, R.N. & Lenhart, S.M., 2011, A Role-Playing Exercise That
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Demonstrates the Process of Evolution by Natural Selection: Caching Squirrels in a World of
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Pilferers, The American Biology Teacher, 73(4), pp. 208-12.
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Scott, E. and Matzke, N. 2007, Biological design in science classrooms. Proc. Natl. Acad. Sci.
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USA, 104 Suppl. 1, pp. 8669-8676.
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Simurda, M.C., 2012, Does the Transition to an Active-Learning Environment for the
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Introductory Course Reduce Students’ Overall Knowledge of the Various Disciplines in
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Biology? Journal of Microbiology & Biology Education, 13(1).
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Skloot, Rebecca. The Immortal Life of Henrietta Lacks. 2011. London, England.
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Van Valen, LM. 1991, HeLa, a new microbial species. Evolutionary Theory 10: 71-74
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Wei, C.A., Beardsley, P.M. & Labov, J.B., 2012, Evolution Education across the Life Sciences:
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Making Biology Education Make Sense, CBE-Life Sciences Education, 11(1), pp. 10-6.
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Appendix 1- Questions used in the assessment
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1. Of the following groups, which are exclusively multicellular (circle any/all that apply)?
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a) Animals
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b) Land plants
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c) Fungi
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d) Bacteria
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e) Algae
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2. Which of the following best characterizes our current understanding of the evolution of
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multicellularity?
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a) Multicellularity arose several times, but only in a single lineage
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b) Multicellularity arose once, and gave rise to all animals
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c) Multicellularity arose several times, in several independent lineages
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d) Multicellularity arose once, un an organism like present-day Volvox
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e) Multicellularity arose once, in an organism much like present-day Baker’s yeast
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3. List three possible advantages of multicellularity.*
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4. List three possible disadvantages of multicellularity.*
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While not included in our first assessments, we recommend these questions for use in your
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class:
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5. What distinguishes a multicellular organism from a clump of cells or a colony of
unicellular organisms?
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6. Describe a plausible scenario by which multicellular organisms could evolve from
unicellular ancestors. Pictures are encouraged!
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* In the post-lab assessment, these questions were changed to “What are some possible
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advantages [for Question 3] or disadvantages [for Question 4] of multicellularity (list as many as
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you can think of).” We scored both pre- and post-lab quizzes out of a maximum of three correct
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responses. Because some students listed more than three advantages/disadvantages in the
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post lab, this estimate is conservative, likely underestimating improvement.
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