A needle in a seedstack: an improved method for detection of rare alleles in bulk seed testing through KASP. Issue 5 (2nd February 2021)

• Record Type: Journal Article
• Authors: Brusa, Anthony; Patterson, Eric L; Gaines, Todd A; Dorn, Kevin; Westra, Philip; Sparks, Crystal D; Wyse, Don
• Is Part Of: Pest management science. Volume 77:Issue 5(2021)
• Page Start: 2477
• Page End: 2484
• Publication Date: 2021-02-02
• Subjects: Amaranthus palmeri -- Palmer amaranth -- genotyping -- species identification -- seed genetic testing -- weed identification; Pests -- Control -- Periodicals; Pesticides -- Periodicals; 632.9
• DOI: 10.1002/ps.6278
• Languages: English
• ISSNs: 1526-498X

Abstract

Abstract: BACKGROUND: Amaranthus palmeri is an aggressive and prolific weed species with major impact on agricultural yield and is a prohibited noxious weed across the Midwest. Morphological identification of A. palmeri from other Amaranthus species is extremely difficult in seeds, which has led to genetic testing for seed identification in commercial seed lots. RESULTS: We created an inexpensive and reliable genetic test based on novel, species‐specific, single nucleotide polymorphisms (SNPs) from GBS (Genotyping by Sequencing) data. We report three SNP‐based genetic tests for identifying A. palmeri alone or in a mixed pool of Amaranthus spp. Sensitivity ranged from 99.8 to 100%, specificity from 99.59 to 100%. Accuracy for all three tests is > 99.7%. All three are capable of reliably detecting one A. palmeri seed in a pool of 200 Amaranthus spp. seeds. The test was validated across 20 populations of A. palmeri, along with eight other Amaranthus species, the largest and most genetically diverse panel of Amaranthus samples to date. CONCLUSION: Our work represents a marked improvement over existing commercial assays resulting in an identification assay that is (i) accurate, (ii) robust, (iii) easy to interpret and (iv) applicable to both leaf tissue and pools of up to 200 seeds. Included is a data transformation method for calling of closely grouped competitive fluorescence assays. We also present a comprehensive GBS dataset from the largest geographic panel of Amaranthus populations sequenced. Our approach serves as a model for developing markers for other difficult to identify species. © 2021 Society of Chemical Industry Abstract : We have developed high throughput screening methods for detecting Amaranthus palmeri in bulk seed testing. Our approach serves as a model for developing markers for other difficult to identify species.