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While\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>I. scapularis<\/jats:italic>\n                    <\/jats:styled-content>\n                    is found across the Eastern United States, Lyme disease transmission is largely limited to the Northeast and Upper Midwest and is nearly absent in the South. This indicates that differences in northern versus southern clades of\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>I. scapularis<\/jats:italic>\n                    <\/jats:styled-content>\n                    are associated with differences in Lyme disease transmission risk.\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>Ixodes scapularis<\/jats:italic>\n                    <\/jats:styled-content>\n                    is undergoing range expansion, including into the Great Plains region of the United States. Determining where\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>I. scapularis<\/jats:italic>\n                    <\/jats:styled-content>\n                    populations in the Great Plains originated can inform future risk of Lyme disease transmission in this region. In this study, we use a population genomics framework to characterize diversity, structure and\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>B. burgdorferi<\/jats:italic>\n                    <\/jats:styled-content>\n                    infection rates of\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>I. scapularis<\/jats:italic>\n                    <\/jats:styled-content>\n                    populations in the Great Plains region. We generated whole genome sequence data and single nucleotide polymorphism (SNP) datasets from\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>I. scapularis<\/jats:italic>\n                    <\/jats:styled-content>\n                    ticks collected in Iowa, Kansas, Nebraska and South Dakota to compare to publicly available data from across the species' range. Our analysis of 200\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>I. scapularis<\/jats:italic>\n                    <\/jats:styled-content>\n                    SNP datasets indicated geographically well\u2010defined populations that correspond to historical northern and southern ancestral clades of\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>I. scapularis<\/jats:italic>\n                    <\/jats:styled-content>\n                    . Ticks from South Dakota, Iowa and northeastern Nebraska are genetically similar populations from the Upper Midwest, while ticks from Kansas are more genetically similar to ticks from the Southeast. Ticks collected in the east central region of Nebraska, however, represent an evenly admixed population of both northern and southern genomic backgrounds. Analysis of\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>B. burgdorferi<\/jats:italic>\n                    <\/jats:styled-content>\n                    reads from genomic datasets shows ~50% infection rate in ticks from Iowa and northeastern Nebraska, whereas ticks from Kansas show no evidence of\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>B. burgdorferi<\/jats:italic>\n                    <\/jats:styled-content>\n                    infection. Of note, evenly admixed ticks from the east central region of Nebraska also show no evidence of\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>B. burgdorferi<\/jats:italic>\n                    <\/jats:styled-content>\n                    infection. These results provide further evidence that tick genomics may influence traits associated with\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>B. burgdorferi<\/jats:italic>\n                    <\/jats:styled-content>\n                    infection status, and thus the potential for Lyme disease transmission. As the range of\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>I. scapularis<\/jats:italic>\n                    <\/jats:styled-content>\n                    continues to expand, bringing historically isolated populations into contact, there is a clear need to understand the consequence of genomic admixture for\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>B. burgdorferi<\/jats:italic>\n                    <\/jats:styled-content>\n                    transmission potential to inform future risk of Lyme disease in the United States.\n                  <\/jats:p>","DOI":"10.1111\/mec.70577","type":"journal-article","created":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T07:48:51Z","timestamp":1791359331000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["When Clades Collide: Genomic Admixture in 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