Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes

AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry