Answer:
I think the question is "How might an RNA-based genome results display an increased in infection rate?" because current statement doesn't convey a message clearly.
Explanation:
To answer this question, we need to understand first that what is gene expression. Gene expression is a process in which genetic information is transcribed first to RNA and then into proteins. During transcription stage, only active genes would be transcribed to RNA and all other DNA material don't transcribe at all. Now, if there is an infection, host cell would express only those genes which would actively take part in the defense mechanism, e.g. R-genes, genes involved in production of reactive oxygen species, etc. Hence, to monitor the infection rate, we will look at the RNA-based genome. To do this, we will extract the total RNA and then would sequence it. Then we will annotate the genes and check the relative abundance (differential expression). Finally, we would have a clear that these genes were active against the infection. By doing temporal sampling and sequencing, we would be able to measure the rate as well.
For the second part, potential complications that could arise in doing analysis is the lower amount of RNA, or rapid degradation of RNA in case of presence of RNAses. RNA can be degraded easily at room temperature.
Answer:
Experimental or interventional studies compare the effect of treatments or interventions with control in humans. Placebo or different treatment(s) or intervention(s) may be used as control. Experimental studies have to be transparent and evidence-based. Two examples include clinical studies as well as observational drug studies.
Answer:
The correct answer is option a. "Plasmodial slime mold".
Explanation:
Plasmodial slime molds, are comprised of a single "supercell" with thousands or millions of nuclei within it. These organisms are formed by the fusion of multiple flagellated cells. The formation of these single celled organisms depend on the presence of enough food source. Typically, plasmodial slime molds have a diameter of 3 to 4 centimeters, but they can growth up to 30 centimeters.
Answer:
Independent variable: varying amounts of light
Dependent variable: plant growth
Explanation:
The variable, which are factors that can be altered, in an experiment can either be independent or dependent. An independent variable is one in which the experimenter manipulates or controls in order to bring about an outcome. For this experiment conducted by Rachel, the independent variable is the VARYING AMOUNT OF LIGHTS.
The dependent variable is the variable that responds to changes of the independent variable. In other words, the dependent variable is the outcome of manipulating the independent variable. Hence, the dependent variable is dependent on the independent variable. For Rachel's experiment, the PLANT GROWTH is the dependent variable because it is what responds to changes in amount of light (independent variable).