The application discloses a biological information-based
genetic data mining
system for
Astragalus sinicus breeding, and particularly relates to the technical field of
data mining; the
system is characterized in that: raw
sequencing data of a
host genome of
Astragalus sinicus and a symbiotic
microorganism genome of
rhizobium is collected and synchronized to generate a standardized genetic information dataset; sequence cross-
contamination sites between the
host genome and the symbiotic
microorganism genome are identified, and genetic information interference from the
microorganism is removed to obtain purified
host genome data free of microorganism interference; the contribution of the microorganism
genome to target traits of
Astragalus sinicus is analyzed to obtain a microorganism effect weight; the purified host genome data and the microorganism effect weight are integrated to construct a trait association analysis model of
Astragalus sinicus and locate trait association sites; finally, candidate breeding markers are screened based on the trait association site information to obtain a precise breeding
genetic marker set; the application improves the accuracy and efficiency of
Astragalus sinicus breeding.