A multi-omics integrative network map of maize.
Ontology highlight
ABSTRACT:
ORGANISM(S): Zea mays
PROVIDER: GSE199932 | GEO | 2022/10/30
REPOSITORIES: GEO
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Project description:These data include RNA-seq, circRNA-seq, and small RNA-seq of transcriptome, Ribo-seq of translatome and protein protein binary interactions by recombination-based library vs. library yeast-2-hybrid throughout the lifecycle of the maize inbred line B73.
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Project description:The contamination of agricultural soil by heavy metal cadmium (Cd) poses a significant environmental challenge, affecting crop growth, development and, human health. Previous studies have established the pivotal role of the ZmHMA3 gene, a P-type ATPase heavy metal transporter, in determining variable Cd accumulation in maize grains among 513 inbred lines. To decipher the molecular mechanism underlying mutation-induced phenotypic differences mediated by ZmHMA3, we conducted a quantitative Tandem Mass Tag (TMT)-based proteomic analysis of immature maize kernels. This analysis aimed to identify differentially expressed proteins (DEPs) in wild-type B73 and zmhma3 null mutant under Cd stress. The findings demonstrated that zhma3 accumulated higher levels of Cd compared to B73 when exposed to varying Cd concentrations in the soil. In comparison to low Cd concentration soil, B73 and zmhma3 exhibited 75 and 142 DEPs, respectively, with 24 common DEPs shared between them. Zmhma3 showed a higher induction of upregulated genes related to Cd stres than B73. Amino sugar and nucleotide sugar metabolism were specifically enriched in B73, while phenylpropanoid biosynthesis, nitrogen metabolism, and glyoxylate and dicarboxylate metabolism appeared to play a more significant role in zmhma3. This study provides proteomics insights into unraveling the molecular mechanism underlying the differences in Cd accumulation in maize kernel.
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Project description:Here we report genome-wide high resolution allele-specific maps of DNA methylation and histone H3 lysine 27 trimethylation (H3K27me3) in maize endosperm. To investigate the allele-specific DNA methylation pattern of maize endosperm on a genome-wide scale, we performed MethylC-seq for shoot, embryo, and endosperm tissue 12 d after pollination (DAP) of inbred B73, and the endosperm tissue 12 DAP of reciprocal crosses B73 Ã Mo17 (BM) and Mo17 Ã B73 (MB). We also performed additional RNA-seq for samples from 12-DAP and 10-DAP endosperm of both reciprocal crosses between inbreds B73 and Mo17
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Project description:Gray leaf spot (GLS) disease of maize is caused by the fungus Cercospora zeina in African countries, such as South Africa. The plant material was from maize inbred line B73-QTL, which was introgressed with a QTL region for resistance to GLS from the maize inbred line CML444 (Berger et al (2014) BMC Genetics 15 60 www.biomedcentral.com/1471-2156/15/60 ). This QTL was named 10G2_GLS and 10H_GLS from two field trials in KwaZulu-Natal province, South Africa in that study. B73-QTL plants were planted in the field, and subjected to natural infection with C. zeina. This was the same field trial as B73 plants that were sampled for RNAseq and the data reported in Swart et al (2017) Mol Plant Microbe Interact 30 710-724 (2017)(GSE94442). Samples were collected from lower leaves with moderate GLS lesions and younger upper leaves of the same B73-QTL plants with very few immature GLS lesions. The first aim of the experiment was to compare the maize transcriptomes during C.zeina challenge between B73 (from GSE94442 data) and B73-QTL plants (this study). The second aim was to identify novel transcripts expressed from the QTL region, which may underlie the quantitative disease resistance to GLS. The third aim was to identify C. zeina genes expressed in planta during infection.
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Project description:Using the RL-SAGE method (Gowda et al. 2004), a maize leaf longSAGE library (cv. inbred line B73) was constructed. Leaf tissues were harvested from 4-week old B73 plants for RNA isolation. The conditions in the growth chamber were 12 h light (500 µmol photons m-2 sec-1), 20oC at night, 26oC in the day and 85% relative humidity. A total of 44,870 unique tags (17 bases +CATG) were identified from 232,948 individual tags in the maize leaf library.
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