A central question in biology is how genes control the expression of quanti
tative variation. We used statistical methods to estimate genetic variation
in eight Arabidopsis thaliana floral characters (fresh flower mass, petal
length, petal width, sepal length, sepal width, long stamen length, short s
tamen length, and pistil length) in a cosmopolitan sample of 15 ecotypes. I
n addition, we used genome-wide quantitative trait locus (QTL) mapping to e
valuate the genetic basis of variation in these same traits in the Landsber
g erecta X Columbia recombinant inbred line population. There was significa
nt genetic variation for all traits in both the sample of naturally occurri
ng ecotypes and in the Let X Col recombinant inbred line population. In add
ition, broad-sense genetic correlations among the traits were positive and
high. A composite interval mapping (CIM) analysis detected 18 significant Q
TL affecting at least one floral character. Eleven QTL were associated with
several floral traits, supporting either pleiotropy or tight linkage as ma
jor determinants of flower morphological integration. We propose several ca
ndidate genes that may underlie these QTL on the basis of positional inform
ation and functional arguments. Genome-wide QTL mapping is a promising tool
for the discovery of candidate genes controlling morphological development
, the detection of novel phenotypic effects for known genes, and in generat
ing a more complete understanding of the genetic basis of floral developmen
t.