SYSTEMS AND METHODS FOR USE IN IDENTIFYING MULTIPLE GENOME EDITS AND PREDICTING THE AGGREGATE EFFECTS OF THE IDENTIFIED GENOME EDITS

    公开(公告)号:US20220361428A1

    公开(公告)日:2022-11-17

    申请号:US17874203

    申请日:2022-07-26

    摘要: Methods are provided for genome editing. On example method includes editing a genome sequence of an organism with multiple edits simultaneously without precise knowledge of a phenotypic effect of each individual one of the multiple edits, wherein the multiple edits are selected based on a prediction of an aggregate phenotypic effect of the multiple edits on a phenotypic trait. The method also includes aggregating the multiple edits into multi-dimensional pools, whereby phenotypic effects of contrasting pools of edits are compared to ascertain which of the multiple edits are most likely to be causing large phenotypic effects while eliminating need to evaluate each edit separately. The organism may include one of: maize, soybean, wheat, sorghum, rice, cotton, rapeseed, sunflower, bean, tomato, squash, cucumber, melon, pepper, watermelon, eggplant, okra, pea, chickpea, lentil, peanut, onion, carrot, celery, beet, cauliflower, broccoli, cabbage, Brussels sprout, radish, black-eyed pea, potato, sweet-potato, sugar cane, cassava, and banana.

    SYSTEMS AND METHODS FOR USE IN IDENTIFYING MULTIPLE GENOME EDITS AND PREDICTING THE AGGREGATE EFFECTS OF THE IDENTIFIED GENOME EDITS

    公开(公告)号:US20180285520A1

    公开(公告)日:2018-10-04

    申请号:US15940695

    申请日:2018-03-29

    摘要: Exemplary systems and methods for selecting from population of candidate edits and predicting an aggregate effect of the candidate edits are disclosed. One exemplary method includes identifying a population of candidate edits to a genomic sequence of said organism and ranking each of the candidate edits based on a predicted ability of each candidate edit to affect a trait of interest in said organism. The exemplary method further includes selecting one or more of the candidate edits based on the ranking and predicting, by the computing device, an aggregate effect of the selected one or more of the candidate edits for the trait of interest when expressed by a specimen of the organism having a genomic sequence and edited according to the selected one or more of the candidate edits, as compared to an unedited specimen of the organism.