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Plant Genomics 2019
June 13-14, 2019
Berlin, Germany
Asian Journal of Plant Science & Research
ISSN: 2249-7412
Page 42
Plant Genomics
5
th
Edition of International Conference on
AJPSKY 2019, Volume 09
Meta QTL (mQTL) Analysis Using Three Connected
Mapping Populations in
Sorghum bicolor
for Drought
Tolerance Related Traits
Techale Birhan
Jimma University, Ethiopia
I
dentifying Quantitative Trait Loci (QTL) of considerable
effects that are expressed in diverse genetic
backgrounds across different drought stress regions
can signi cantly complement the conventional breeding
efforts. The purpose of this study was therefore to map
consistent QTL related to drought tolerance using three
connected mapping populations of different genetic
backgrounds.
Methodology and Theoretical Orientation:
All QTL
identified in the individual populations using CIM were
projected on the consensus linkage maps using the
chromosomal position, LOD score, confidence interval
and proportion of phenotypic variance (R2) explained
by each QTL. For each chromosome, meta-QTL analysis
was used to estimate the numbers and positions of the
mQTL. Meta QTL was declared only when it was common
to all the three populations or when one region harbored
an elevated number of QTL derived from a minimum of
two populations.
Findings:
A total of 106QTLwere identified fromthe three
individual population QTL analysis for all traits studied.
All the 106 QTLs identified in individual populations were
projected on the combined consensus map for Meta
QTL analysis. The meta-analysis then reduced the total
number of QTLs from106 to 16 mQTLs. As a result, 4
mQTL for grain yield per plant, two for days to maturity,
one for days to flowering, two for leaf senescence and
three for plant height were detected.
Conclusion and Significance:
The final consensus
map developed would allow us to map a larger number
of markers than possible in any individual map and
to obtain a more complete coverage of the sorghum
genome. Therefore, the consensus map can be used as a
reference resource for genetic studies in different genetic
backgrounds and the QTL identified in this study could be
used for marker assisted breeding programs in sorghum.