Method for accurately predicting BSA-seq candidate gene in low-density SNP genomic region

• Main Authors: DENG GUOFU, ZHANG ZONGQIONG, XIA XIUZHONG, ZENG YU, LI DANTING, ZHUANG JIE, YANG XINGHAI, WU YANYAN, NONG BAOXUAN, XIONG FAQIAN
• Format: Patent
• Language: Chinese; English
• Published: 19.02.2019
• Subjects: BEER; BIOCHEMISTRY; CHEMISTRY; COMPOSITIONS OR TEST PAPERS THEREFOR; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES; ENZYMOLOGY; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS; METALLURGY; MICROBIOLOGY; MUTATION OR GENETIC ENGINEERING; PHYSICS; PROCESSES OF PREPARING SUCH COMPOSITIONS; SPIRITS; VINEGAR; WINE

The invention relates to the genome sequencing technology field and especially relates to a method for accurately predicting a BSA-seq candidate gene in a low-density SNP genomic region. BSA-seq has alow-density SNP region near a candidate interval. Through comparing SNPs between two parents, an SNP list is strictly filtered to find a low-density region, and then, a corresponding candidate interval when a confidence interval is 95% and a low-density candidate interval are used, and a genome annotation website is used to annotate the genes in a candidate region. A candidate region variation point function is annotated so as to obtain a gene with functional variation such as frameshift variation and the like, and the gene is determined to be a candidate gene. The method can be used to makeup for the false positive of the candidate region due to the region with a small difference in a genome, and the real candidate interval is acquired. 本发明涉及基因组测序技术领域，特别涉及种低密度SNP基因组区域准确预测BSA-seq候选基因的方法，本发明针对BSA-seq在候选区间附近有低密度SNP