Image Downloads
SGI Technology Powers University of Hawaii's Papaya Genome Sequencing Project
[back to press release]


The images provided on this page are for news media use only. All images must carry the credits as stated below. The images have been zipped. You need an unzipping utility before using these images. Use WinZip (PC) or StuffIt Expander (MAC) to unzip.

  • Web Quality: 72 dpi, RGB, JPEG format
This is an image of xxxxx. Description:
The second largest crop in Hawaii, papaya was almost wiped out by the papaya ringspot virus a decade ago. Genetically modifying the papaya to create a ringspot-resistant transgenic or "hermaphrodite" variety such as the SunUp saved the papaya from extinction on the islands. The Papaya Genome Project mapped papaya genes to improve the efficiency of agricultural cultivation, and to discover new applications for one of the most important edible fruit crops of tropical and subtropical regions worldwide. Papaya is also used in a wide range of medical, biotechnological and cosmetic applications that can be further developed now that a complete picture of the genomic sequence has been drawn.
Credit: Download:
Image Courtesy of University of Hawaii. Photograph by Maqsudul Alam. JPEG (ZIP 2.9M)
This is an image of xxxxx. Description:
The second largest crop in Hawaii, papaya was almost wiped out by the papaya ringspot virus a decade ago. Genetically modifying the papaya to create a ringspot-resistant transgenic or "hermaphrodite" variety such as the SunUp saved the papaya from extinction on the islands. The Papaya Genome Project mapped papaya genes to improve the efficiency of agricultural cultivation, and to discover new applications for one of the most important edible fruit crops of tropical and subtropical regions worldwide. Papaya is also used in a wide range of medical, biotechnological and cosmetic applications that can be further developed now that a complete picture of the genomic sequence has been drawn.
Credit: Download:
Image Courtesy of University of Hawaii. Photograph by Maqsudul Alam. JPEG (ZIP 63K)