Genetic Technologies Accelerating Beyond Artificial Selection

Genetic Technologies Objectives

Match different forms of visualization with the information that is being conveyed.
Diagram the steps involved in cutting, copying, and moving pieces of DNA.

Data visualization is the use of graphs, plots, infographics, and other figures to visually represent data.

Data visualization starts with a choice: selecting the correct format to represent the data accurately.

Advance through this slider to review eight common forms of data visualization, and what they represent.

Hover over the images to pause the scroll

Time Series

A single variable is captured over a period of time. A line is often used to connect the data, showing trends in the variable over time.

Correlation

This compares two variables (X,Y) and shows whether they move in the same or opposite directions. A scatterplot is often used for correlative data.

Ranking

The categories are ranked in an ascending or descending order. A bar chart is often used. This is not continuous data like a line chart, but data representing different collection intervals, with no assumption of linearity between the bars.

Part to a Whole

Divided parts are compared to a larger whole. A pie chart is frequently used to show percentages.

Deviation

A comparison of the actual data to a reference. Bar charts are often used to show the deviation of the real from expected data.

Frequency Distribution

Provides the number of a variable at an interval, typically a time interval. A histogram is often used for displaying this data.

Nominal Comparison

This represents categories that are not in a particular order. Bar charts are often used, and there is no assumed relationship between the different bars,

Geospatial

A variable is located on a map or layout, the visualization is called a cartogram.

Once you have selected a type of figure that accurately represents the data, it is time to add information to make sure the figure is clear and easy to read.

Labels provide critical information on what is included in a figure.

This typically includes a title, labeled axes, and a key of any lines, bars, dots, or other data represented in the chart in which the meaning is not obvious.

Line, colors, textures, and patterns can distinguish between different forms of data.

It is important to minimize information that may distract from the data or lead to misconceptions.

Now, the data visualization needs to be engaging: capturing and holding the viewer’s attention so they will read and think about the figure.

This video presents the idea of making data visualizations engaging to a reader.

People will not look for information within data, or convert that information into knowledge and usable wisdom, unless the data is presented in an accurate, clear, and compelling manner.

Genetic technologies pose a significant challenge in education because much of the process is only indirectly observed. The rest of this guide will include a variety of visualizations about gene tech.

Genetic Technologies Overview

Genetic technologies far surpass artificial selection in the rate and degree of impact we can have on a species’ genetic information.

This video provides an overview of the basic techniques associated with altering the genetic make-up of an organism.

Even as genetic technologies advance, the same basic steps apply: cutting out the desired gene, making more copies inserting the gene into another chromosome, growing cells with the recombined chromosome, and confirming that the transferered gene is present.

This illustration of a-t-c-g is an iconic indicator of the base sequence of a chromosome. It is used in advertisements and movies to indicate genetic technologies.

Similarly, this image of a gel is iconic, and indicates how the a-t-c-g sequence was determined: by separating fragments of DNA on a gel.

Start Your Guide 8B Media Assignment here

Data Visualization

For this media assignment, you are producing a data visualization. This could be your quadrat data, data you already have collected in the past, or new data you collect for this assignment. The data does not need to be related to animals, but does need to be related to some type of natural phenomenon. For example, you could use weather data, the number of hours a pet sleeps, calories in a daily diet, the size of populations in different areas, etc.

Your data visualization needs to:

be in a figure format that you feel accurately represents the data. This could be a line chart, bar chart, scatterplot, pie chart, histogram, cartogram (map), or something less conventional.
clearly present the data with a title, labels, and/or key as needed.
have an engaging design that captures attention. This could be color, patterns, texture, 3D modeling, a witty shape, or whatever you create.

Data visualization can start when you begin collecting the data itself. Field journals can include graph paper so figures can be sketched on location. Consider keeping a field journal for data in either digital or hard copy form.

You can see how the “junk journals” in this photo inspire data collection and visualization in this guide’s resource section.

Resources

In the next section we will explore how traits may be impacted by more than the sequence of DNA.

Check your knowledge. Can you:

match different forms of visualization with the information that is being conveyed?
diagram the steps involved in cutting, copying, and moving pieces of DNA?

Go back to the Gene Tech Guide Overview

Go forward to the Epigenetics Page

Gene Tech Guide Contents

Complete all four of these sections before taking the quiz and making your media piece.

Genetic Technologies - YOU ARE HERE

Genetic Technologies Accelerating Beyond Artificial Selection

Genetic Technologies Objectives

Match different forms of visualization with the information that is being conveyed.

Diagram the steps involved in cutting, copying, and moving pieces of DNA.