10.5061/DRYAD.H2C0C
Oakley, Christopher G.
Michigan State University
Savage, Linda
Michigan State University
Lotz, Samuel
Michigan State University
Larson, G. Rudd
Michigan State University
Thomashow, Michael F.
Michigan State University
Kramer, David M.
Michigan State University
Schemske, Douglas W.
Michigan State University
Data from: Genetic basis of photosynthetic responses to cold in two
locally adapted populations of Arabidopsis thaliana
Dryad
dataset
2018
chlorophyll fluorescence
Arabidopsis thaliana
genotype by environment interaction
Natural Variation
Fv/Fm
Non-photochemical quenching
Photosynthesis
photoprotection
Holocene
Cold acclimation
QTL mapping
National Science Foundation
https://ror.org/021nxhr62
DEB-1556262
2018-01-04T14:08:24Z
2018-01-04T14:08:24Z
en
https://doi.org/10.1093/jxb/erx437
2210079 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Local adaptation is common, but the traits and genes involved are often
unknown. Physiological responses to cold probably contribute to local
adaptation in wide-ranging species, but the genetic basis underlying
natural variation in these traits has rarely been studied. Using a
recombinant inbred (495 lines) mapping population from locally adapted
populations of Arabidopsis thaliana from Sweden and Italy, we grew plants
at low temperature and mapped quantitative trait loci (QTLs) for traits
related to photosynthesis: maximal quantum efficiency (Fv/Fm), rapidly
reversible photoprotection (NPQfast), and photoinhibition of PSII
(NPQslow) using high-throughput, whole-plant measures of chlorophyll
fluorescence. In response to cold, the Swedish line had greater values for
all traits, and for every trait, large effect QTLs contributed to parental
differences. We found one major QTL affecting all traits, as well as
unique major QTLs for each trait. Six trait QTLs overlapped with
previously published locally adaptive QTLs based on fitness measured in
the native environments over 3 years. Our results demonstrate that
photosynthetic responses to cold can vary dramatically within a species,
and may predominantly be caused by a few QTLs of large effect. Some
photosynthesis traits and QTLs probably contribute to local adaptation in
this system.
photosynthesis_alldays_alltraits_fordryadFile containing data for all
traits measured for all days of the experiment. Column names are as
follows: batch_ID indicates a unique batch ID that contains the date;
flat_ID indicates a unique flat ID; camera indicates which camera recorded
the data; genotype indicates the RIL (numeric) or parental (It = Italy; Sw
= Sweden) genotype ID; replicate identifies different replicates of an
individual genotype within a batch; the 9 day columns represent daily
means (individual values for Fv/Fm) for each of the days of the DEPI
experiment (day0 was in the initial warm conditions, subsequent days were
at 4C).RIL LSM phenotypes formatted for RqtlGenotype file formatted for
Rqtl. Least square mean phenotypes for the three traits included in the
QTL mapping (Fv/Fm, NPQfast, and NPQslow). A prefix of "QN_"
indicates the quantile normalized value for a particular trait. The last
column (id) gives the numeric RIL ID.pheno.csvRIL genotypes formatted for
RqtlGenotype matrix for the RILs used in this study, formatted for input
into Rqtlgeno.csv
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