TY  - JOUR
A1  - Lisec, Jan
A1  - Römisch-Margl, Lilla
A1  - Nikoloski, Zoran
A1  - Piepho, Hans-Peter
A1  - Giavalisco, Patrick
A1  - Selbig, Joachim
A1  - Gierl, Alfons
A1  - Willmitzer, Lothar
T1  - Corn hybrids display lower metabolite variability and complex metabolite inheritance patterns
JF  - The plant journal
N2  - We conducted a comparative analysis of the root metabolome of six parental maize inbred lines and their 14 corresponding hybrids showing fresh weight heterosis. We demonstrated that the metabolic profiles not only exhibit distinct features for each hybrid line compared with its parental lines, but also separate reciprocal hybrids. Reconstructed metabolic networks, based on robust correlations between metabolic profiles, display a higher network density in most hybrids as compared with the corresponding inbred lines. With respect to metabolite level inheritance, additive, dominant and overdominant patterns are observed with no specific overrepresentation. Despite the observed complexity of the inheritance pattern, for the majority of metabolites the variance observed in all 14 hybrids is lower compared with inbred lines. Deviations of metabolite levels from the average levels of the hybrids correlate negatively with biomass, which could be applied for developing predictors of hybrid performance based on characteristics of metabolite patterns.
KW  - heterosis
KW  - Zea mays
KW  - metabolomics
Y1  - 2011
U6  - https://doi.org/10.1111/j.1365-313X.2011.04689.x
SN  - 0960-7412
VL  - 68
IS  - 2
SP  - 326
EP  - 336
PB  - Wiley-Blackwell
CY  - Malden
ER  - 
TY  - JOUR
A1  - de Abreu e Lima, Francisco Anastacio
A1  - Li, Kun
A1  - Wen, Weiwei
A1  - Yan, Jianbing
A1  - Nikoloski, Zoran
A1  - Willmitzer, Lothar
A1  - Brotman, Yariv
T1  - Unraveling lipid metabolism in maize with time-resolved multi-omics data
JF  - The plant journal
N2  - Maize is the cereal crop with the highest production worldwide, and its oil is a key energy resource. Improving the quantity and quality of maize oil requires a better understanding of lipid metabolism. To predict the function of maize genes involved in lipid biosynthesis, we assembled transcriptomic and lipidomic data sets from leaves of B73 and the high-oil line By804 in two distinct time-series experiments. The integrative analysis based on high-dimensional regularized regression yielded lipid-transcript associations indirectly validated by Gene Ontology and promoter motif enrichment analyses. The co-localization of lipid-transcript associations using the genetic mapping of lipid traits in leaves and seedlings of a B73 x By804 recombinant inbred line population uncovered 323 genes involved in the metabolism of phospholipids, galactolipids, sulfolipids and glycerolipids. The resulting association network further supported the involvement of 50 gene candidates in modulating levels of representatives from multiple acyl-lipid classes. Therefore, the proposed approach provides high-confidence candidates for experimental testing in maize and model plant species.
KW  - Zea mays
KW  - lipid metabolism
KW  - omics
KW  - GFLASSO
KW  - QTL
Y1  - 2018
U6  - https://doi.org/10.1111/tpj.13833
SN  - 0960-7412
SN  - 1365-313X
VL  - 93
IS  - 6
SP  - 1102
EP  - 1115
PB  - Wiley
CY  - Hoboken
ER  -