'Viva' native plant material data in support of restoration and conservation
Data for journal manuscript: Unexpected hybridization reveals the utility of genetics in native plant restoration
Dates
Publication Date
2020-05-06
Time Period
2020
Citation
Massatti, R., and Winkler, D.E., 2020, 'Viva' native plant material data in support of restoration and conservation: U.S. Geological Survey data release, https://doi.org/10.5066/P9V2PR9J.
Summary
These data were compiled to investigate the evolutionary history of Hilaria jamesii, Hilaria mutica, and Hilaria rigida. The data release consists of two tab delimited text files that may be used to infer population structure (viva_structure.stru) or relationships among sampling localities (viva.phylip). Files record genetic variation on an individual (.stru) or sampling locality (.phylip) level. These files may be opened and edited in a text editor program, such as Notepad ++ (PC) or BBEdit (Mac). The .phylip file can be uploaded to phyML or SVDQuartets to generate a tree-based visualization of relationships ( http://www.atgc-montpellier.fr/phyml/ or https://paup.phylosolutions.com, repectively). The .stru file can be used in the [...]
Summary
These data were compiled to investigate the evolutionary history of Hilaria jamesii, Hilaria mutica, and Hilaria rigida. The data release consists of two tab delimited text files that may be used to infer population structure (viva_structure.stru) or relationships among sampling localities (viva.phylip). Files record genetic variation on an individual (.stru) or sampling locality (.phylip) level. These files may be opened and edited in a text editor program, such as Notepad ++ (PC) or BBEdit (Mac). The .phylip file can be uploaded to phyML or SVDQuartets to generate a tree-based visualization of relationships ( http://www.atgc-montpellier.fr/phyml/ or https://paup.phylosolutions.com, repectively). The .stru file can be used in the STRUCTURE program (Falush et al. 2003) to estimate population structure.
Falush, D., Stephens, M. and Pritchard, J.K., 2003. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics, 164(4), pp.1567-1587.
The purpose of these data are to describe the population structure and interspecific relationships among Hilaria jamesii, Hilaria mutica, and Hilaria rigida. With knowledge of these patterns, we investigated hybridization between Hilaria jamesii and Hilaria mutica and within the Hilaria jamesii 'Viva' native plant restoration material. The datasets archived herein can be used to further investigate the evolutionary history of these three species, or they may be used to reconfirm the patterns reported in the Larger Work Citation (Winkler & Massatti 2020). Ultimately, these data can be used to inform restoration management decisions regarding seed transfer guidelines and native plant materials development.
Rights
The author(s) of these data request that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.