Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi De novo Exocarp Transcriptome Assembly of the Organ Pipe Cactus Stenocereusthurberi Fruit: A First Glance
*Corresponding Author:
Copyright: © 2019 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Mexico is one of the most important producers and exporters of fruits and vegetables of the world. This activity brings important revenues for the country. In this context, the postharvest fruit losses reduce the economic benefit of the country. These losses are in part due toseveral abiotic stresses present during the postharvest shelf life. Several experimental evidences strongly suggest that the cuticle plays a role in the length of the postharvest shelf life of fruits. Nevertheless, the cuticle responses to abiotic stresses such as hydric stress, high temperatures and osmotic stress is still largely unknown. Because of that, the elucidation of the molecular mechanism of cuticle biosynthesis will allow the development of strategies to design fruit with a large postharvest shelf life and more resistant to abiotic stresses. Cactus species are adapted to environments with high temperatures, high solar irradiation, and low water availability which suggests that most likely cactus species cuticle have special characteristics. According to the above, the objective of the present work was to analyze the exocarp transcriptome of organ pipe cactus Stenocereusthurberi fruit generated by a next generation sequencing approach.S. thurberi fruits are known as pitayas. Pitaya fruit with different stages of development were collected in a Sonora desert region located close to Carbo, Sonora, México. Total RNA was isolated from the exocarp and four libraries were sequenced in paired-end mode2x150 using theNextSeq 500 Iluminaplatform. A total of288,199,704 short reads were obtained, which correspond to 21.95 Gbof information. Fast QC software was used for quality analysis.
