Range‐wide population genomics of the Mexican fruit fly: Toward development of pathway analysis tools. (13th June 2019)

• Record Type: Journal Article
• Authors: Dupuis, Julian R.; Ruiz‐Arce, Raul; Barr, Norman B.; Thomas, Donald B.; Geib, Scott M.
• Is Part Of: Evolutionary applications. Volume 12:Number 8(2019)
• Page Start: 1641
• Page End: 1660
• Publication Date: 2019-06-13
• Subjects: agricultural pest -- Anastrepha -- ddRAD -- Fluidigm -- pathway analysis -- source determination -- Tephritidae; Evolution (Biology) -- Periodicals; Genetics -- Periodicals; Natural selection -- Periodicals; Ecology -- Periodicals; 576.8
• DOI: 10.1111/eva.12824
• Languages: English
• ISSNs: 1752-4571

Abstract

Abstract: Recurrently invading pests provide unique challenges for pest management, but also present opportunities to utilize genomics to understand invasion dynamics and inform regulatory management through pathway analysis. In the southern United States, the Mexican fruit fly Anastrepha ludens is such a pest, and its incursions into Texas and California represent major threats to the agricultural systems of those regions. We developed a draft genome assembly for A. ludens, conducted range‐wide population genomics using restriction site‐associated DNA sequencing, and then developed and demonstrated a panel of highly differentiated diagnostic SNPs for source determination of intercepted flies in this system. Using 2, 081 genomewide SNPs, we identified four populations across the range of A. ludens, corresponding to western Mexico, eastern Mexico/Texas, Guatemala/Belize/Honduras, and Costa Rica/Panama, with some intergradation present between clusters, particularly in Central America. From this population genomics framework, we developed a diagnostic panel of 28 highly differentiated SNPs that were able to recreate the genomewide population structure in this species. We demonstrated this panel on a set of test specimens, including specimens intercepted as part of regular trapping surveillance in Texas and California, and we were able to predict populations of origin for these specimens. This methodology presents a highly applied use of genomic techniques and can be implemented in any group of recurrently invading pests.