Honeybee Genome Sequenced
mapkinase writes to let us know about articles in Nature on the completed sequencing of the honeybee genome. From the first article: "Two other insects have already been sequenced: the malaria-carrying mosquito Anopheles gambiae, and one of science's great model organisms, the fruitfly Drosophila melanogaster. Like these, the bee is much easier to manipulate and study than, say, the monkey. But unlike the mosquito and the fruitfly, the bee's social behavior is of special interest." Another article in the same issue clarifies why this sequencing is important: "The genome is helping to reveal some of those [such as the bees' dance language and the division of labor in the hive] mechanisms. For instance, there are 65 spots in the genome that seem to code for short RNA molecules called microRNAs (miRNAs), molecular switches that can turn genes on or off. The researchers found that miRNA activity differs between bees doing different jobs."
I bet this creates quite a buzz among genome researchers.
Is it just me, or does the whole DNA/Genome decoding process sound like rather complex dis-assembly project? Every living thing on this planet is nothing but a quad-nary based executable with VERY VERY good error-correction duplication.
never bring a twinkie to a food fight.
It's neat to find, but it had to be there. Each bee has the same core DNA. The drones and queen and each sub variety of bee all use the same DNA. For the geeks in the audience who aren't bio-geeks as well.
Make Wings;
Make Thorax;
Make Head;
Size = 10;
if (Bee == Queen){//miRNA
Size = 30;
Behavior = "Go around laying eggs";
}
else {
Size = 10;
Behavior = "Go around gathering honey";
}
Give or take. miRNA goes around turning off certain gene stuff. I'm too lazy to RTFA, but I'd like to know the relationship between miRNA and royal jelly.
It is no longer uncommon to be uncommon.
besides their social behavior, there is a lot known about how the navigation system of honeybees works (i.e., how they find the hive after foraging). Understanding honeybee genetics could have an impact on understanding and designing autonomous systems for robotics.
NO CARRIER
Reuters' original online article about this misidentified the queen bee as Queen Elizabeth, stating that Britain's monarch was capable of laying "up to 2,000 eggs a day"o _te.html
they've corrected it, but you can see the original article here:
http://www.regrettheerror.com/2006/10/reuters_typ
Gee thanks, now I'm going to spend the rest of the day imagining cows flitting from flower to flower gathering pollen.
KFG
The human genome projects worked from DNA samples pooled from a number of individuals, which were then assembled into a consensus "human genome". However the original sequenced reads can be aligned back to the reference to find differences (such as SNPs -- single nucleotide polymorphisms).
Substantial effort is underway to resequence the human genome in different individuals from different populations. The International Hapmap Project (http://www.hapmap.org/) is among the most high profile.
Not exactly. More like:
Make Wings;
Make Thorax;
Make Head;
Size = 10;
if (GrowthStoppingHormonePresent == false){
Size+=20;
if (OtherQueenPresent == true){kill it;}
Spray Growth Stopping Hormone On All Bees Around You;
}
else
{
Behavior = "Go around gathering honey";
}
-
For the purposes of creating the reference sequence they essentially ignored them. In the public human genome project the DNA from a handful of individuals was used. The Celera project used mostly the DNA of one individual, Craig Venter, the head of Celera. This does make the reference sequence arbitrary, but so was the block of platinum that was used to define the kilogram. The idea is that you measure differences from the standard.
The rule of thumb is that the sequence of any two individualss differ in about 1 base in 1000. This ignores complications like that fact that women have of two copies of the X chromosome and men have 1 X and 1 Y chromosome, and that whole sections of sequence can sometimes get shifted from one chromosome to another. As the other responder pointed out the variations are a major focus of research, particularly Single Nucleotide Polymorphisms (SNPs) where 90% of the population have an 'A' in a particulary position and 10% have a 'G'.