B73 maize total leaf proteome under drought
Ontology highlight
ABSTRACT:
INSTRUMENT(S):
ORGANISM(S): Zea Mays (maize)
TISSUE(S): Photosynthetic Cell
SUBMITTER: 
Peter Lundquist
LAB HEAD: Peter Lundquist
PROVIDER: PXD057023 | Pride | 2025-10-17
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| MaxQuant_Output.zip | Other | |||
| MaxQuant_v2.4.5.0.zip | Other | |||
| Zea_mays.AGPv3.22.pep.all.fa | Other | |||
| hf2022092008_7DCXP1-1.raw | Raw | |||
| hf2022092012_17DCXP1-1.raw | Raw |
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Project description:The maize plastoglobule proteome has not been reported in the literature, nor has its dynamic repsonse to water-deficit (i.e. drought) been investigated. To address this shortcoming, we have employed deep bottom-up proteomics of isolated plastoglobules, as well as isolated thylakoids, from 3-week-old maize seedlings experienceing a drought stress treatment. Maize plants were not watered for 17 days, during which a decline in photosynthetic parameters and leaf wilting and tip chlorosis was observed, followed by re-watering from which plants quickly recovered. Plastoglobules and thylakoods were isolated at six different time points during the stress treatment to monitor dynamic changes during entry itno and recovery from the stress. These siz time points are: 7 days without watering (dWW), 12 dWW, 16 dWW, 17 dWW, 1 day after re-watering (dRW), and 3 dRW. The 7 dWW time point represents the basal state prior to imposition of stress (plants are only watered once every 7 days), while the 17 dWW represents the peak stress time point. We find tailored changes to plastoglobule and thylakoid consistent with triggering of specific stress tolerance mechanisms, but no indication of senescence processes were observed. Our results provide the first public report of the maize plastoglobule proteome and its dynamic responses to water-deficit.
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Project description:A heat stress treatment was imposed on B73 inbred maize three weeks after germination by increasing ambient air temperatures in the greenhouse from 25C to 30C for one day followed by 40C for 7 days, before a recovery phase at 25C for 3 days. We developed a broad-level view of heat stress effects by determining the quantitative total leaf proteome at the reference unstressed time-point (0 days heat stress; 25C), the peak heat stress time-point (7 days heat stress), and the recovery time point (3 days heat recovery).
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Project description:A heat stress treatment was imposed on B73 inbred maize three weeks after germination by increasing ambient air temperatures in the greenhouse from 25C to 30C for one day followed by 40C for 7 days, before a recovery phase at 25C for 3 days. We developed a broad-level view of heat stress effects by determining the quantitative plastoglouble proteome at six time points during the heat stress and recovery, namely the reference unstressed time-point (0 days heat stress; 25C), 1 day of heat stress (40C), 3 days heat stress (40C), 7 days heat stress (40C), 1 day of recovery and 3 days of recovery.
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Project description:A heat stress treatment was imposed on B73 inbred maize three weeks after germination by increasing ambient air temperatures in the greenhouse from 25C to 30C for one day followed by 40C for 7 days, before a recovery phase at 25C for 3 days. We developed a broad-level view of heat stress effects by determining the quantitative thylakoid proteome at six time points during the ehat stress and recovery, namely the reference unstressed time-point (0 days heat stress; 25C), 1 day of heat stress (40C), 3 days heat stress (40C), 7 days heat stress (40C), 1 day of recovery and 3 days of recovery.
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Project description:Purpose: to screen the candidate genes involved in the peanut drought stress response, we conducted global transcriptome analysis of peanut plants challenged with water deficit and ABA, using the Illumina HiSeq2000 sequencing platform. Methods: a sequences library of Yueyou7 were constructed at first. Then the profile of diffentialy expressed genes (DEGs) under three different treatments (control, water deficit without ABA, and water deficit with ABA) were conducted based on above sequence library. For sequencing library construction, plants were grown under normal conditions, as described previously , Seeds were planted in soil and kep in the greenhouse at temperature of 25-30M-bM-^DM-^C and water well. Three tissues (leaves, roots, and stems) were collected at three development stages (four-leaf, flowering and podding stages), respectively. Then all of these tissues were mixed to extract the total RNA for sequence library construction. For DEGs study, two-week-old plants were divided into three groups with three independent replication: (1). Water deficit without ABA groups. Plants directly steeped in water containing 30% PEG600 for 30 min in this groups. (2) Water deficit with ABA groups. Plant was subjected to 100 M-BM-5mol/L ABA for 30 min and then steeped in water containing 30% PEG6000 for 30 min in this groups, (3) Control. Plants steeped in H2O. All treatments were conducted in parallel. After treatments, Total RNA was extracted from 100 mg of plant material, and RNA integrity was checked by gel electrophoresis. Also RNA quality was checked and RNA was quantified using the Agilent 2100 Bioanalyzer (Agilent technologies, Santa Clara, CA) and Nanodrop ND-1000 (Thermo Scientific, Waltham, USA). Results: we generated 4.96M-CM-^W107 raw sequence reads and assembled the high quality reads into 92,390 unique genes. Compared with the control, we found that 621 genes (M-bM-^IM-%1.5 fold change) responded rapidly to water deficit and 2665 genes (M-bM-^IM-%1.5 fold change) responded rapidly to ABA. We found 279 genes that overlapped between water deficit and ABA responses, 264 genes that showed the same trend in expression while 15 genes expression that showed opposite trend. Among the identified genes, 257 showed high induction by ABA (>5 fold), and 19 showed high induction by drought (>5 fold). In addition, we identified 100 transcription factor genes among the ABA-inducible genes but only 22 transcription factor genes among the water deficit-inducible genes. Conclusions: we identified genes differentially expressed in the early response to water deficit or ABA. These genes were annotated with GO functional categories for water deficit (33 categories) or ABA (31 categories). We found that only 19 genes were highly induced by water deficit, but 257 genes were highly induced by ABA. Our previous work has examined many of these genes and our future work will reveal their functions and relationships. These data will facilitate functional genomic studies and have established a biotechnological platform for examination of the early drought- and ABA-responsive transcriptome regulatory network in peanut. Two-week-old plants were divided into three groups with three independent replication: (1). Water deficit without ABA groups. Plants directly steeped in water containing 30% PEG600 for 30 min in this groups. (2) Water deficit with ABA groups. Plant was subjected to 100 M-BM-5mol/L ABA for 30 min and then steeped in water containing 30% PEG6000 for 30 min in this groups, (3) Control. Plants steeped in H2O. All treatments were conducted in parallel.
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