Published June 23, 2015 | Version v1
Dataset Open

Data from: Species tree estimation of diploid Helianthus (Asteraceae) using target enrichment

Description

Premise of the study: The sunflower genus Helianthus has long been recognized as economically significant, containing species of agricultural and horticultural importance. Additionally, this genus displays a large range of phenotypic and genetic variation, making Helianthus a useful system for studying evolutionary and ecological processes. Here we present the most robust Helianthus phylogeny to date, laying the foundation for future studies of this genus. Methods: We used a target enrichment approach across 37 diploid Helianthus species/subspecies with a total of 103 accessions. This technique garnered 170 genes used for both coalescent and concatenation analyses. The resulting phylogeny was additionally used to examine the evolution of life history and growth form across the genus. Key results: Coalescent and concatenation approaches were largely congruent, resolving a large annual clade and two large perennial clades. However, several relationships deeper within the phylogeny were more weakly supported and incongruent among analyses including the placement of H. agrestis, H. cusickii, H. gracilentus, H. mollis, and H. occidentalis. Conclusions: The current phylogeny supports three major clades including a large annual clade, a southeastern perennial clade, and another clade of primarily large-statured perennials. Relationships among taxa are more consistent with early phylogenies of the genus using morphological and crossing data than recent efforts using single genes, which highlight the difficulties of phylogenetic estimation in genera known for reticulate evolution. Additionally, conflict and low support at the base of the perennial clades may suggest a rapid radiation and/or ancient introgression within the genus.

Notes

Files

bootstrap_genetrees.zip

Files (34.7 MB)

Name Size Download all
md5:71d2aeab935d005ecaa01ef4a999cc41
4.3 kB Download
md5:e9e7b3093e63ace4ec9e5baa7354f993
12.2 MB Preview Download
md5:b2f277ef13aefbbf4d6462b223603551
3.1 kB Download
md5:8ff1f90c6db8fea3118758b7e0f18ef1
3.5 kB Download
md5:9d08d024e7ad378964929b156f381348
11.0 MB Download
md5:cce4603bff6d41c3cf6f7864fa868f3b
11.0 MB Download
md5:bf4c00eb2324c324e55a64a0d2e95a34
503.7 kB Preview Download
md5:331893fb3fc349d67cf486492da2062a
4.6 kB Download
md5:02403b9c23841e1ad20c0181e64ad97a
2.2 kB Download
md5:3ed0513c7bb7351dafd778e0c9fb57f0
3.3 kB Download
md5:c8271e3bc832bb05c39b87ccde125a94
1.6 kB Download

Additional details

Related works

Is cited by
10.3732/ajb.1500031 (DOI)