Variation in flowering time in sorghum core collection and mapping of QTLs controlling flowering time by association analysis
Yousra El Mannai
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Tariq Shehzad
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Kazutoshi Okuno
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Y. El Mannai T. Shehzad K. Okuno (&) Lab of Plant Genetics and Breeding Science, Graduate School of Life and Environmental Sciences, University of Tsukuba
, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8572,
Japan
A wide range of variation in flowering time was observed within a diversity research set of 107 sorghum accessions ranging from 56 to 133 days. Accessions were classified into early medium and late flowering groups. 45 accessions were grown under three different environments of photoperiod (11, 12 and 15 h). Sorghum accessions gradually responded to the decreasing of day-length. The 12 h of photoperiod could be considered as a threshold above which day-length delays the flowering time in sorghum. Association analysis was performed to identify the QTLs controlling flowering time and photoperiod sensitivity using 107 accessions of sorghum grown under natural condition and 45 accessions grown under controlled conditions. Four QTLs controlling flowering time were detected under natural condition of day-length at threshold 2.5 using K model. A total of seven flowering time loci were detected under controlled conditions of day-length. One QTL controlling photoperiod sensitivity was detected on chromosome 1 and one QTL controlling photoperiod insensitivity was detected on chromosome 4.
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Flowering time is one of the essential traits
determining adaptation during crop domestication. In sorghum
(Sorghum bicolor (L.) Moench) flowering is
considered as a crucial event because of its key role in the
adaptation and geographical distribution of this crop.
Flowering time is affected by environmental stimuli
where photoperiod is one of the major determinant
factors for this trait (Kikuchi and Handa 2009). Most
of plant species exhibit some degree of
photoperiodism, which is a control of the time or the date of
flowering by the photoperiod. Whereas the effects of
photoperiod on flowering time in sorghum are
essential for the crop domestication, these effects are not
well understood (Michael et al. 2008). Despite
extensive analysis of the day-length control of flowering in
sorghum, little is known regarding effect of variation
in photoperiod or day-length on flowering time of
sorghum (Menz et al. 2002). Since sorghum was
recognized as short-day species by Garner and Allard
(1923), photoperiod sensitivity in this species has been
systematically eliminated by breeders to enlarge the
range of adaptability and to extend its cropping area to
temperate environment (Chanterau et al. 2001). A
better understanding of response and sensitivity of
flowering time in sorghum to the photoperiod will
facilitate the control of flowering time. In recent years,
gene mapping using linkage disequilibrium (LD) has
become one of the most active areas of research in
plant genetics. LD is a powerful strategy for
identifying genes underlying quantitative traits in plants
(Casa et al. 2008). Thus the objectives of the current
study were to analyze the variation in flowering time in
a diverse core set of sorghum, to explore the sensitivity
of flowering time to the variation in photoperiod and to
identify QTLs controlling flowering time using
association analysis.
Materials and methods
A diversity research set of 107 sorghum accessions
developed by Shehezad et al. (2009a) representing
African and Asian countries was used in this study
(Supplementary Table 1). According to their
flowering time, accessions were divided into early, medium
and late flowering groups. Fifteen accessions were
randomly selected from each group. A total of 45
accessions were grown as replicated sets in three
identical cabinets (at the experimental field of
Tsukuba University). The day-length was set to 11,
12 and 15 h, respectively. The main effect of the
photoperiod treatments was defined for each
accession by counting number of days from sowing to
flowering.
Furthermore association analyses were conducted
using the core collection grown under natural
condition of day-length and the 45 accessions grown under
controlled conditions to identify QTLs associated
with flowering time and photoperiod sensitivity. A
total of 98 markers previously described in Shehzad
et al. (2009b) were used for association analyses.
Population structure was performed using the
program STRUCTURE version 2.2 (Pritchard et al.
2000). Bayesian clustering analyses with the
admixture models were used where number of populations
(J) ranged from 2 to 9. Markov chain Monte Carlo
(MCMC) sampling was repeated 1 9 106 times after
1 9 104 cycles of a burn-in period. The posterior
probability of J = 2 was the largest among other
values and was selected after two times repetition.
The Q matrix, whose (I, j)-th element was qij, was
further incorporated into the association mapping
models where the effect of population structure was
considered. A kinship matrix, K, was calculated as
allele sharing rates of the 98 SSR markers as
suggested by Zhao et al. (2007) and used in the
models with K effect. LD between SSR markers were
estimated by D0 and r2, where D0 is the standardized
disequilibrium coefficient and r2 represents the
correlation between alleles at two loci. A statistical
software TASSEL (Trait Analysis by Association,
Evolution and Linkage) ver.2.0.1 (Bradbury et al.
2007) was used to obtain P values representing the
significance of LD. To identify QTLs significantly
associated with flowering time general linear model
(GLM) as well as mixed linear model (MLM) were
applied for analysis in TASSEL software. In GLM
two different models were used (1) nave model
where there is no control of population structure and
kinship (2) Q model based on population structure
(Yu et al. 2006). In MLM we used two models: (1)
the model which accounted for kinship (K), (2) the
model that takes into account both the population
structure and the kinship (Q ? K).
A wide range of variation in flowering time was
observed within the panel of 107 sorghum accessions
(Supplementary Table 1) ranging from 56 to
133 days. On the basis of number of days to
flowering the 107 sorghum accessions were classified
into three groups: early flowering group with less
than 75 days, medium flowering from 75 to 95 days
and late flowering group with more than 95 days
from sowing to flowering. Under controlled
conditions day-length varied substantially across
experiments resulting in considerable variation in flowering
time for most of the accessions from different
flowering groups (Fig. 1). A photoperiod of 11 and
12 h accelerated flowering for the majority of early,
medium and late accessions compared with 15 h of
photoperiod. Above 12 h of photoperiod the increase
of day-length generated a delay in flowering for
accessions of all flowering groups. Difference in
number of days to flowering between 12 and 15 h of
photoperiod ranged from 4 to 18 days for the early
flowering group, from 3 to 17 days in medium group
and from 5 to 11 days for the late group. (...truncated)