alexa [Single nucleotide polymorphism (SNP) and its application in rice].


Journal of Addiction Research & Therapy

Author(s): Liu CG, Zhang GQ

Abstract Share this page

Abstract Single nucleotide polymorphisms (SNPs) distribute numerously and high-density throughout rice (Oryza sativa L.) genome. A total of 80,127 SNP sites were identified in rice genome, and one SNP every 154 bp was found between two rice subspecies indica and japonica. The SNP rate is 0.65\%. SNPs also are very considerable among within-subspecies cultivars, even it can be found between closely related cultivars, in which it has been difficult to find polymorphic sites by conventional methods. The frequency of SNPs in rice genome varied between chromosomes, moreover it showed uneven distribution of polymorphism-rich and -poor regions along each chromosome. Several routes have been used for identification of SNP in rice, such as sequencing PCR products of DNA samples, screening SNPs in SSR fragments, and searching for SNPs through the rice genome sequences and EST database. A number of genotyping systems have been developed to identify SNPs in rice genome. High automation in SNPs identification has become a very convenient operation by the automatized systems. SNPs can be converted to CAPS (cleaved amplified polymorphic sequence) or dCAPS (derived-CAPS), and allele-specific PCR markers. SNP has shown huge potential in establishing rice genetic maps, genes cloning and functional genomics, MAS (marker assisted selection) in rice breeding, and studying on classification and evolution of germplasm.
This article was published in Yi Chuan and referenced in Journal of Addiction Research & Therapy

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version