10.5061/DRYAD.M0CFXPP2Q
Fishman, Lila
0000-0002-7297-9049
University of Montana
Nelson, Thomas C.
University of Montana
Muir, Christopher D.
University of British Columbia
Stathos, Angela M.
University of Montana
Vanderpool, Daniel D.
University of Montana
Anderson, Kayli
University of Montana
Angert, Amy L.
University of British Columbia
Quantitative trait locus mapping reveals an independent genetic basis for
joint divergence in leaf function, life-history, and floral traits between
scarlet monkeyflower (Mimulus cardinalis) populations
Dryad
dataset
2021
Erythranthe
life history
QTL mapping
Tradeoff
FOS: Biological sciences
Phrymaceae
National Science Foundation
https://ror.org/021nxhr62
DEB-1407333
National Science Foundation
https://ror.org/021nxhr62
OIA-1736249
National Science Foundation
https://ror.org/021nxhr62
DEB-1457763
2022-02-04T00:00:00Z
2021-07-08T00:00:00Z
en
https://doi.org/10.1002/ajb2.1660
https://doi.org/10.1101/2020.08.16.252916
328450 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
PREMISE Across taxa, vegetative and floral traits that vary along a
fast-slow life-history axis are often correlated with leaf functional
traits arrayed along the leaf economics spectrum, suggesting a constrained
set of adaptive trait combinations. Such broad-scale convergence may arise
from genetic constraints imposed by pleiotropy (or tight linkage) within
species, or from natural selection alone. Understanding the genetic basis
of trait syndromes and their components is key to distinguishing these
alternatives and predicting evolution in novel environments. METHODS We
used a line-cross approach and quantitative trait locus (QTL) mapping to
characterize the genetic basis of twenty leaf functional/physiological,
life history, and floral traits in hybrids between annualized and
perennial populations of scarlet monkeyflower (Mimulus cardinalis).
RESULTS We mapped both single and multi-trait QTLs for life history, leaf
function and reproductive traits, but found no evidence of genetic
co-ordination across categories. A major QTL for three leaf functional
traits (thickness, photosynthetic rate, and stomatal resistance) suggests
that a simple shift in leaf anatomy may be key to adaptation to seasonally
dry habitats. CONCLUSIONS Our results suggest that the co-ordination of
resource-acquisitive leaf physiological traits with a fast life history
and more selfing mating system results from environmental selection rather
than functional or genetic constraint. Independent assortment of distinct
trait modules, as well as a simple genetic basis to leaf physiological
traits associated with drought escape, may facilitate adaptation to
changing climates.
The spreadsheet contains four sheets. 1. phenotypic data for all
individuals in the experiment (including parents and F1 hybrids and all
f2s hybrid) used for calculation of quantiative genetic summaries
(heritability, genetic covariances). Both raw values and standardized
values (see methods) are included. 2. phenotype matrix for the subset of
F2 hybrids used for genetic mapping. 3. genotype matrix for the subset of
F2 hybrids used for genetic mapping, coded as CC for CE10 homozygote, CW
for heterozygote and WW for WFM homozygote. 4. genetic map of markers
used for QTL mapping (marker numbers are not meaningful but match those in
the genotype matrix) Both phenotypes and genotypes are not raw data.
Phenotypic values such as relative growth rate, assimilation rate, or leaf
thickness were calculated, as described in the Methods text, from
underlying measurements. The called genotypes are derived from
gene-capture sequence data available on the Sequence Read Archive, using
the protocols described in the text. The authors are willing to share the
raw phenotypic data (e.g. leaf area) by request. We can privately provide
spreadsheets that match markers to physical map positions.
There are missing genotypes and phenotypes for some individuals (indicated
by NA or - in the cell). Genetic correlations were calculated using
individuals without missing data for any trait. The three F2 files are in
rQTL2 input format.