View Single Post
Old July 19, 2016, 08:46 AM   #1
hdaackda
Member
 
Join Date: February 4, 2015
Posts: 43
U.S. Army Testing Genetically Engineered Spider Silk for Body Armor

Posting with permission from the owner.


U.S. Military Testing Genetically Engineered Spider Silk for Body Armor
Inserting spider's DNA into silkworms yields a tough fabric that has the strength of a spider’s silk but the production speed of a silkworm.



Golden Silk Spiders
Golden Silk Spiders (Nephila clavipes) - By Coveredinsevindust at English Wikipedia, CC BY-SA 3.0, https://commons.wikimedia.org/w/inde...curid=10202324


Spider silk is considered one of nature’s toughest substances, comparable in strength to the Kevlar plastic present in bulletproof vests but is way more flexible. Kraig Biocraft Laboratories, a firm from Ann Arbor, Michigan, genetically altered silkworms to manufacture a fiber that is just like pure spider silk. Last week, the firm announced a U.S. Department of Defense (DoD) contract to test this genetically engineered silk, which they are calling Dragon Silk™ for potential use in body armor.

There is a reason that silk from worms is affordable but you possibly can’t purchase dresses made out of spider silk: spiders are cannibalistic and territorial, which makes farming them for material manufacturing ridiculously exorbitant.

Enter the wonderful new marvel that’s called genetic engineering. In 2000, researchers first isolated and sequenced the key proteins that create spider silk (ampullate spidroin-1, spidroin-2, and so on.) That allowed scientists to reproduce spider silk proteins in E coli bacteria, yeast and other substances in somewhat the same method as pharmaceutical firms produce proteins for medicine. However, these techniques didn’t yield spider silk in large enough quantities.

Read more: U.S. Military Testing Genetically Engineered Spider Silk for Body Armor
__________________
Dont try this EVER! https://www.youtube.com/watch?v=3hiMKYNB3w4
hdaackda is offline   Reply With Quote
 
Page generated in 0.03727 seconds with 8 queries