Conflict over water

One of the articles my students brought to our Environmental Science discussion was about the growing fears about wars over water. Even within the U.S.A. there are significant conflicts, as demonstrated by this NPR article.

Texas has tried to buy Oklahoma water from the state, its cities and towns, and its Native American tribes. But Oklahoma lawmakers have blocked those efforts with a string of laws restricting out-of-state water exports.

The view in Texas is that Oklahoma isn’t even using its full allocation of Red River water. Oklahomans respond that Texas hasn’t gotten serious enough about conservation.

“Our poor, poor thirsty people in Dallas, Texas,” muses state Sen. Jerry Ellis, a Democrat who represents southeastern Oklahoma. “There’s nobody thirsty in Dallas, Texas.”

— Wertz,J., 2013: Thirsty States Take Water Battle To Supreme Court on NPR.

The full article:

P.S. Lauren Markham has an article about environmental “refugees” forced to leave Ethiopia because of the changing rainfall patterns over the last eight years.

“The World has Improved Immensely in the Last 50 Years”

“It is only by measuring we can cross the river of myths.” — Hans Rosling

Hans Rosling explains, in wonderfully graphical form, how as child mortality has improved so has quality of life, which has in turn lead to fewer births and population stabilization.

More details on the general reduction in poverty in The Guardian.

The Dish.

From DNA to Proteins: A Simulation Game

Figure 1. Students assemble a molecule after translating the instruction from the gene sequence.

Abstract

This simulation was designed to have middle school students practice reading instructions (proteins) from a sequence of genetic bases (DNA) to better understand how gene translation works and learn the types of things that proteins do. The exercise and discussion lasted 55 minutes (with one preparatory homework assignment). Students appeared to have a lot of fun doing the simulation (especially because of the competition between groups) and we had an excellent discussion afterwards.

Introduction

DNA holds the instructions that control what our bodies in the pattern of molecules (nucleobases) that make up our genes. The genes are located in the nucleus of our cells (as well as for all eukaryotes). When genes are expressed, they create proteins that actually get all the work done.

The jobs of proteins can be summed up a three things:

  • some proteins build structures like muscles,
  • other proteins are enzymes that catalyze reactions, like the breakdown of food in the digestive system, and
  • other proteins are used for sending messages.

Using the DNA Writer application for converting text into simulated DNA sequences, I create an exercise for students to practice:

  • Finding simulated genes in a DNA sequence
  • translating the genetic code into an instruction (a simulated protein)
  • performing the different types of jobs that proteins do.

The simulation was modeled as a competitive game, with the class of 7th and 8th graders broken into four groups that competed against one another to see who could complete the instructions the fastest. I cheated, I’m afraid, because what I did not tell them was that, in order to complete the last instruction, the groups would all need to work together, so there would be no single group winner.

Procedure

Pre-exercise Homework

Example Homework Assignment: HW-eg.pdf

This being the first time I’ve tried anything like this, I was not sure how long it would take students to translate the DNA code to english, so a couple days before the simulation I handed out individualized homework assignments so they could practice. I chose science vocabulary words like “protein”, “ribosome”, and “amino acids” for short, simple messages.

Figure 2. This homework assignment consists of a simulated DNA sequence, the translation table, some instructions on how it works that comes from the DNA Writer app (use the printer friendly output option). The assignment can thus be individualized. This message translates as “amino acids”. Students were able to do the translation in less than five minutes. (pdf)

At least I had intended for it to be homework. As soon as they got the handout, and the 2 minute explanation about how it worked, they hashed out the messages in about five minutes.

The trickiest part was that the first few letters they translated did not make any sense, since they’re random sequences meant to represent non-coding DNA. However, once they got to the “start” codon it was pretty easy sailing.

Given how fast they were able to do the translation (and how eager and enthusiastic they were about it), I realized how unfounded were my fears that the translations would take too long for the competitive part of the exercise to work.

The Simulation/Exercise

Materials

There are only a few materials required for this lab:

  • envelopes – one for each group (size does not matter)
  • a chain of paperclips (100 seemed to work pretty well) You only need one set of 100 because the groups will be working on this together.
  • enough parts of a molecule-building kit to make a methane molecule (CH4).
  • printout of the translation table (eg. HW-eg.pdf or from DNA Writer).
Figure 3. Materials and printouts used in this activity.

Preparation

For each group

  • Write out the main set of instructions. The instruction I used were:
    • PULL APART ALL THE PAPERCLIPS
    • BUILD A METHANE MOLECULE
    • BUILD A BUTANE MOLECULE
  • I used the DNA Writer to get the code for each instruction individually then stuck them together in a text editor (like Word) (Note: it might even be better to give them a bead string with the base sequence instructions). These three instructions together looked like this:

TATTGCACATTGGAGGATATCATCAGCACTGAGACTCACT
AGAGCACTATCATCAGCTAGCGTCTAAGCGAGACTGAGCT
ACACTCAATCCTGGAGTGATAACTCTCACTAGTATAGTCG
TTGCATGATCTGATCTACAGCACTAGCACACTATAGCGTA
CTCTCCTAAGCACATGTATCCTATCAGATATCCTATAATG
TCTATGCGTATCATTGCATGATCTGATCTACAGCACTAGC
CATGATTAGACTCTCCTAAGCACATGTATCCTATCAGATA
TCCTATAAGCAATCCACGCT

  • Write or print out an address label as a DNA sequence, and stick it on to the envelope.
    • Since my groups had already named themselves, my addresses were something along the lines of, “Give to Gryffendor”.
  • Write out a message and stick it into each envelope
    • My messages were things like: “Do 10 pushups”; or “Dance Gangnam Style”.
  • Do 10 pushups.
  • Chain together the paperclips:
    • The groups will be working together to pull apart the paperclips, so you want enough paperclips so that it takes a few minutes to do. This way the slower groups will have a chance to catch up with the faster groups.
  • Put the molecule building parts in a jar – one for each group.

Procedure

So I took the class to the gym and stuck each of the four groups on a side of the basket ball court. Each group had a jar of molecule parts (only enough to build a methane molecule), an addressed letter with a message in it, and the long DNA sequence.

The paperclips were in a box in the center circle of the court.

We gathered around the center circle for instructions, which basically consisted of me telling them they had to

  • deliver their message first,
  • then do the whatever was in the message delivered to them,
  • then follow the instructions in the long DNA sequence

They were eager to go.

Results

Methane molecule assembled.

The entire thing went remarkably smoothly, which was somewhat surprising since this is the first time I’ve ever tried anything like this.

It only took 20 minutes from the time they started to when they finally put together the butane molecule.

A few small issues did come up, however.

Since they had only ever decoded a single instruction from a single DNA sequence before, almost all the groups stopped after the first instruction on the long sequence (pull apart the paperclips). I had to point out that a real DNA sequence contains a whole sequence of genes, so they probably ought to continue translating.

Another group tried doing shortcuts, and when they saw that they had parts from the molecule building kit and the instruction was, “BUILD A M”, they assumed that they were just supposed to build any molecule. I had to intervene on that one too.

Figure 4. Each group contributed one person to pulling apart the paperclip chain. Pulling apart the paperclips represents the catalytic breakdown of long polymers in food (starches and proteins for example) by enzymes.

When the person from the third group arrived to help pull apart the paperclips, the two already there complained that more people would just slow them down. I had to point out that they could just break the long chain they were working on into smaller pieces and then everyone could work and the work would go a lot faster. The breaking of the chains is supposed to represent the catalytic effect of enzymes.

One group mistakenly blocked off the first two letters in the DNA sequence instead of the first three (for a codon), and couldn’t figure out why their sequence was not telling them anything. I had to help out with that one, but in our post-simulation discussion it reminded me to talk about transcription errors and how the genetic code can change.

Finally, they were, some more than other, sorely disappointed that there would be no winner. They so wanted to win that they did not want to share their molecule parts to build the butane molecule.

Figure 4. A student holds a butane molecule model.

Discussion

When we were done with the exercise, we gathered around in the center circle to debrief. We reviewed what DNA does and the three things that proteins do:

  • Assembling the butane molecule from the methane monomers represented the use of proteins to build structures.
  • Pulling apart the paperclips represented the breakdown of food in the digestive system. Starches, for example, are long chained polymers that are broken down into their constituent sugars by enzymes in saliva and in the stomach.
  • The envelope with the message was a very literal representation of proteins as message carriers.

I actually forgot to talk about the transcription errors one group was making during our circle discussion, so we ended up talking about it on the following day. One student had remembered the video I showed earlier about gene expression that compared the rate of errors in DNA encoding compared to computer disks. The DNA coding is much more reliable, but when billions upon billions of bases are being coded then errors will still creep in.

This lead to a discussion about mutations, and how some DNA transcription errors could give messages that made no sense and would be ignored, while others could send signals that could affect the body’s functions. The latter types of mutation can be good or bad.

Conclusion

The exercise went remarkably well. Key to it, I think, was the fact that the students were able to so efficiently translate the DNA code to English. Also, the instructions were designed to feed back into things they’d done in the past, like assemble covalent molecules and polymers.

Working with Climate Data

Monthly climatic data from the Eads Bridge, from 1893 to the 1960’s. It’s a comma separated file (.csv) that can be imported into pretty much any spreadsheet program.

135045.csv

The last three columns are mean (MMNT), minimum (MNMT), and maximum (MXMT) monthly temperature data, which are good candidates for analysis by pre-calculus students who are studying sinusoidal functions. For an extra challenge, students can also try analyzing the total monthly precipitation patterns (TPCP). The precipitation pattern is not nearly as nice a sinusoidal function as the temperature.

Students should try to deconstruct the curve into component functions to see the annual cycles and any longer term patterns. This type of work would also be a precursor the the mathematics of Fourier analysis.

This data comes from the National Climatic Data Center (NCDC) website.

Ecosystem Perturbations: How DDT Lead to Parachuting Cats

The impact of a change in the ecological conditions, like the introduction of the pesticide DDT, can cascade through an ecosystem with wierd and unexpected consequences. Richard Fagerlund explains:

In the 1950s, the World Health Organization sent supplies of DDT to Borneo to fight mosquitoes that spread malaria among the people. The mosquitoes were quickly wiped out. But billions of roaches lived in the villages, and they simply stored the DDT in their bodies.

One kind of animal that fed on the roaches was a small lizard. When these lizards ate the roaches, they also ate a lot of DDT. Instead of killing them, DDT only slowed them down. This made it easier for cats to catch the lizards, one of their favorite foods.

About the same time, people also found that hordes of caterpillars had moved in to feed on the roofing materials of their homes. They realized that the lizards that previously had kept the caterpillar population under control had been eaten by the cats. And now, all over North Borneo, cats that ate the lizards died from DDT poisoning. Then rats moved in because there were no cats to control their population. With the rats came a new danger: plague. Officials sent out emergency calls for cats. Cats were sent in by airplane and dropped by parachute to help control the rats.

— Fagerlund (2013): Take a lesson from Borneo — go easy on the bug spray on SFGate.com.

What Happens When Two Black Holes Collide?

A student asked this question about black holes during a discussion, and I didn’t have a good answer. Now there’s this:

A study last year found unusually high levels of the isotope carbon-14 in ancient rings of Japanese cedar trees and a corresponding spike in beryllium-10 in Antarctic ice.

The readings were traced back to a point in AD 774 or 775, suggesting that during that period the Earth was hit by an intense burst of radiation, but researchers were initially unable to determine its cause.

Now a separate team of astronomers have suggested it could have been due to the collision of two compact stellar remnants such as black holes, neutron stars or white dwarfs.

— via The Weather Channel (2013): Black Hole Collision May Have Irradiated Earth in 8th Century.

From the original article:

While long [Gamma Ray Bursts (GRBs)] are caused by the core collapse of a very massive star, short GRBs are explained by the merger of two compact objects … [such as] a neutron star with either a black hole becoming a more massive black hole, or with another neutron star becoming either a relatively massive stable neutron star or otherwise a black hole.

— Hambaryan and Neuhäuser (2013): A Galactic short gamma-ray burst as cause for the 14C peak in AD 774/5 in

More info via The Telegraph, and the original article discussing the spike in carbon-14 in tree rings is here.

Choosing Extinction

We talked about the Voluntary Human Extinction Project (VHMET) in Environmental Science, when we were covering issues related to overpopulation and the need for genetic diversity. While I’ve never been quite sure just how serious VHMET is, I just came across this 2007 article by Robert Krulwich on NPR about a tribe of pygmies in the mountains bordering China and Burma that chose extinction because of all the genetic problems that were being caused by inbreeding.

Gravel Bar in the Creek

A wavelike bar of loose gravel in the creek.

In addition to clearing out the leaves, the fast flow in the creek created some interesting fluvial features. Example number one is this curious gravel bar that was not there a week ago. The gravel is quite coarse — 2-4 cm in diameter — but it’s extremely loose, which is typically of recently deposited sediment.

It seems likely that the sediment comes from beneath the fallen tree that cuts across the creek just upstream of the gravel bar. The tree restricts the stream flow, forcing the water to speed up, and when the water found it’s way through by cutting under the tree, it had enough energy to excavate a hole under the tree and deposit the resulting sediment just a meter or so away.

Constriction of the stream by the fallen tree focused flow beneath it, digging out sediment and depositing just downstream on the gravel bar.

It’s a neat piece of fluvial geomorphology.