Dataset Information

Effect of ABA and GA application on the accumulation of storage proteins in developing seeds of the yellow lupin cultivar Taper.

ABSTRACT: The development of seeds is a process of particular importance both for the plant itself – it assures the survival of the species, and for the human population – for nutritional and economic reasons. Controlling this process requires a strict coordination of many factors at different levels of cellular organization and complexity of regulatory mechanisms, the most important of which are gene transcriptional activity and hormonal homeostasis. In the control of seed filling processes, apart from specific regulatory proteins, the participation of phytohormones is also extremely important. The most important role is attributed to the interdependence between GA and ABA. In many plant species, phytohormones have been shown to affect the expression of genes related to the regulation of storage protein accumulation, especially ABSCISIC ACID INSENSITIVE3 (ABI3) and FUSCA3 (FUS3). The aim of the study was to verify whether exogenous application of phytohormones (ABA or GA) would significantly affect the amount of storage proteins accumulated in yellow lupin seeds.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Lupinus Luteus

TISSUE(S): Seed

SUBMITTER: Magdalena Kubiak

LAB HEAD: Natalia Klajn

PROVIDER: PXD044299 | Pride | 2023-10-24

REPOSITORIES: Pride

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Publications

Regulatory Effects of ABA and GA on the Expression of Conglutin Genes and LAFL Network Genes in Yellow Lupine (Lupinus luteus L.) Seeds.

Klajn Natalia N Kapczyńska Katarzyna K Pasikowski Paweł P Glazińska Paulina P Kugiel Hubert H Kęsy Jacek J Wojciechowski Waldemar W

International journal of molecular sciences 20230803 15

The maturation of seeds is a process of particular importance both for the plant itself by assuring the survival of the species and for the human population for nutritional and economic reasons. Controlling this process requires a strict coordination of many factors at different levels of the functioning of genetic and hormonal changes as well as cellular organization. One of the most important examples is the transcriptional activity of the LAFL gene regulatory network, which includes LE ...[more]

PMID: 37569754

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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.

Dataset Information

Effect of ABA and GA application on the accumulation of storage proteins in developing seeds of the yellow lupin cultivar Taper.

Publications

Regulatory Effects of ABA and GA on the Expression of Conglutin Genes and <i>LAFL</i> Network Genes in Yellow Lupine (<i>Lupinus luteus</i> L.) Seeds.

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