10.5285/CB0D7A37-45C5-4645-B5EF-BA097D92FC20
Wade, R.N.
https://orcid.org/0000-0001-9572-8990
University of Sheffield
Seed, P.
University of Sheffield
McLaren, E.
https://orcid.org/0000-0002-2716-4721
University of Sheffield
Wood, E.
https://orcid.org/0000-0002-8447-3766
University of Sheffield
Christin, P.A.
https://orcid.org/0000-0001-6292-8734
University of Sheffield
Thompson, K.
University of Sheffield
Rees, M.
https://orcid.org/0000-0001-8513-9906
University of Sheffield
Osborne, C.P.
https://orcid.org/0000-0002-7423-3718
University of Sheffield
Growth rates of grass species with contrasting photosynthetic pathways and life histories
NERC EDS Environmental Information Data Centre
2020
plant growth
leaf anatomical characteristics
phylogenetic analysis
Poaceae
growth analysis
plant biomass
leaf area
leaf
biomass
grass
photosynthesis
Prof. Colin Osborne
University of Sheffield
University of Sheffield
https://ror.org/05krs5044
NERC EDS Environmental Information Data Centre
https://ror.org/04xw4m193
2020-08-04
en
https://catalogue.ceh.ac.uk/id/cb0d7a37-45c5-4645-b5ef-ba097d92fc20
https://data-package.ceh.ac.uk/sd/cb0d7a37-45c5-4645-b5ef-ba097d92fc20.zip
text/csv Comma-separated values (CSV)
Phylogenetic trees (.tre)
This resource is available under the terms of the Open Government Licence
This dataset contains sequential biomass harvests from a plant growth experiment carried out under controlled environmental conditions in Sheffield. The experiment was carried out in three parts in 2016 and 2017, and was designed to investigate differences in growth among grasses with the C3 and C4 photosynthetic pathways, and with annual and perennial life histories. Plants were harvested approximately weekly over a period of five weeks.
The data include information on the dry biomass of roots and leaves, and the numbers of roots, leaves and shoot branches. Also included is an independent dataset of leaf anatomical characteristics derived from herbarium specimens, which was used to test how mechanical support scales with leaf size. Finally, the data include the phylogenetic relationships among species, which were used in analyses.
The work was funded by NERC standard grant NE/N003152/1.
A phylogeny for the species involved in the growth analysis was reconstructed using a set of sequences from four regions of the chloroplast genome that have been widely used in grass phylogenetics: trnKmatK, rbcL, ndhF and trnLtrnF. These markers were retrieved from NCBI databases when available for the species used here, and were amplified and Sanger sequenced using published protocols for species that had never been analysed. Each marker was then aligned using MUSCLE v.3.8.31, and the alignment was manually verified. The four markers were then concatenated, and a time-calibrated phylogenetic tree was inferred using Beast v1.8.4. The GTR+G+I substitution model was used, and the speciation prior was set to a Yule process. A relaxed molecular clock with a log-normal distribution was used. The monophyly of each of the BOP and PACMAD clades was enforced to root the tree, and the split of the two clades was constrained by a normal distribution with a mean of 51.2 and a standard deviation of 0.0001. Two analyses were run for 10,000,000 generations, with sampling frequency of 1,000 generations. Convergence of the runs and effective sampling sizes were monitored with Tracer v1.6, and the burn-in period was set to 5,000,000. Posterior trees from the two analyses were combined, and median ages were mapped on the highest credibility tree, which was used for comparative analyses.
Natural Environment Research Council
https://ror.org/02b5d8509
NE/N003152/1