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Viable triploids are often produced asymmetrically, with greater success observed for \u201cmaternal\u2010excess\u201d crosses where the mother has a higher ploidy than the father. Here we investigated the evolutionary origins of\n                      <jats:italic>Mimulus peregrinus<\/jats:italic>\n                      , an allohexaploid recently derived from the triploid\n                      <jats:italic>M. \u00d7robertsii<\/jats:italic>\n                      , to determine whether reproductive asymmetry has shaped the formation of this new species.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS:<\/jats:title>\n                    <jats:p>\n                      We used reciprocal crosses between the diploid (\n                      <jats:italic>M. guttatus<\/jats:italic>\n                      ) and tetraploid (\n                      <jats:italic>M. luteus<\/jats:italic>\n                      ) progenitors to determine the viability of triploid\n                      <jats:italic>M. \u00d7robertsii<\/jats:italic>\n                      hybrids resulting from paternal\u2010 vs. maternal\u2010excess crosses. To investigate whether experimental results predict patterns seen in the field, we performed parentage analyses comparing natural populations of\n                      <jats:italic>M. peregrinus<\/jats:italic>\n                      to its diploid, tetraploid, and triploid progenitors. Organellar sequences obtained from pre\u2010existing genomic data, supplemented with additional genotyping was used to establish the maternal ancestry of multiple\n                      <jats:italic>M. peregrinus<\/jats:italic>\n                      and\n                      <jats:italic>M. \u00d7robertsii<\/jats:italic>\n                      populations.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>KEY RESULTS:<\/jats:title>\n                    <jats:p>\n                      We found strong evidence for asymmetric origins of\n                      <jats:italic>M. peregrinus<\/jats:italic>\n                      , but opposite to the common pattern, with paternal\u2010excess crosses significantly more successful than maternal\u2010excess crosses. These results successfully predicted hybrid formation in nature: 111 of 114\n                      <jats:italic>M. \u00d7robertsii<\/jats:italic>\n                      individuals, and 27 of 27\n                      <jats:italic>M. peregrinus<\/jats:italic>\n                      , had an\n                      <jats:italic>M. guttatus<\/jats:italic>\n                      maternal haplotype.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSION:<\/jats:title>\n                    <jats:p>\n                      This study, which includes the first\n                      <jats:italic>Mimulus<\/jats:italic>\n                      chloroplast genome assembly, demonstrates the utility of parentage analysis through genome skimming. We highlight the benefits of complementing genomic analyses with experimental approaches to understand asymmetry in allopolyploid speciation.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3732\/ajb.1500471","type":"journal-article","created":{"date-parts":[[2016,5,24]],"date-time":"2016-05-24T21:48:54Z","timestamp":1464126534000},"page":"1272-1288","source":"Crossref","is-referenced-by-count":59,"title":["Strongly asymmetric hybridization barriers shape the origin of a new polyploid species and its hybrid ancestor"],"prefix":"10.1002","volume":"103","author":[{"given":"Mario","family":"Vallejo\u2010Mar\u00edn","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arielle M.","family":"Cooley","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle Yuequi","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Madison","family":"Folmer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael R.","family":"McKain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua R.","family":"Puzey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2016,5,24]]},"reference":[{"key":"e_1_2_7_2_1","first-page":"11.10.11","article-title":"From FastQ data to high\u2010confidence variant calls: The genome analysis toolkit best practices pipeline","volume":"11","author":"Auwera G. 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