Comprehensive analysis of tobacco pollen transcriptome unveils common pathways in polar cell expansion and underlying heterochronic shift during spermatogenesis
Abstract:BackgroundMany flowering plants produce bicellular pollen. The two cells of the pollen grain are destined for separate fates in the male gametophyte, which provides a unique opportunity to study genetic interactions that govern guided single-cell polar expansion of the growing pollen tube and the coordinated control of germ cell division and sperm cell fate specification. We applied the Agilent 44 K tobacco gene chip to conduct the first transcriptomic analysis of the tobacco male gametophyte. In addition, we … Show more
“…So far, the majority of transcriptome studies did not consider time-dependent aspects during germination and tube growth but were focused on the differences between pollen and sporophytic tissue or emphasized specific biological processes in pollen physiology and development or described differences between pollen grains and tubes of various species (Becker et al, 2003;Honys and Twell, 2003;Bock et al, 2006;Haerizadeh et al, 2009;Qin et al, 2009;Hafidh et al, 2012). A metabolic network was presented for Arabidopsis pollen using the transcriptome data of Pina et al (2005) and the MAPMAN software (Thimm et al, 2004).…”
Section: Time Dependence Of Pollen Metabolismmentioning
Investigation of the metabolome and the transcriptome of pollen of lily (Lilium longiflorum) gave a comprehensive overview of metabolic pathways active during pollen germination and tube growth. More than 100 different metabolites were determined simultaneously by gas chromatography coupled to mass spectrometry, and expressed genes of selected metabolic pathways were identified by next-generation sequencing of lily pollen transcripts. The time-dependent changes in metabolite abundances, as well as the changes after inhibition of the mitochondrial electron transport chain, revealed a fast and dynamic adaption of the metabolic pathways in the range of minutes. The metabolic state prior to pollen germination differed clearly from the metabolic state during pollen tube growth, as indicated by principal component analysis of all detected metabolites and by detailed observation of individual metabolites. For instance, the amount of sucrose increased during the first 60 minutes of pollen culture but decreased during tube growth, while glucose and fructose showed the opposite behavior. Glycolysis, tricarbonic acid cycle, glyoxylate cycle, starch, and fatty acid degradation were activated, providing energy during pollen germination and tube growth. Inhibition of the mitochondrial electron transport chain by antimycin A resulted in an immediate production of ethanol and a fast rearrangement of metabolic pathways, which correlated with changes in the amounts of the majority of identified metabolites, e.g. a rapid increase in g-aminobutyric acid indicated the activation of a g-aminobutyric acid shunt in the tricarbonic acid cycle, while ethanol fermentation compensated the reduced ATP production after inhibition of the oxidative phosphorylation.
“…So far, the majority of transcriptome studies did not consider time-dependent aspects during germination and tube growth but were focused on the differences between pollen and sporophytic tissue or emphasized specific biological processes in pollen physiology and development or described differences between pollen grains and tubes of various species (Becker et al, 2003;Honys and Twell, 2003;Bock et al, 2006;Haerizadeh et al, 2009;Qin et al, 2009;Hafidh et al, 2012). A metabolic network was presented for Arabidopsis pollen using the transcriptome data of Pina et al (2005) and the MAPMAN software (Thimm et al, 2004).…”
Section: Time Dependence Of Pollen Metabolismmentioning
Investigation of the metabolome and the transcriptome of pollen of lily (Lilium longiflorum) gave a comprehensive overview of metabolic pathways active during pollen germination and tube growth. More than 100 different metabolites were determined simultaneously by gas chromatography coupled to mass spectrometry, and expressed genes of selected metabolic pathways were identified by next-generation sequencing of lily pollen transcripts. The time-dependent changes in metabolite abundances, as well as the changes after inhibition of the mitochondrial electron transport chain, revealed a fast and dynamic adaption of the metabolic pathways in the range of minutes. The metabolic state prior to pollen germination differed clearly from the metabolic state during pollen tube growth, as indicated by principal component analysis of all detected metabolites and by detailed observation of individual metabolites. For instance, the amount of sucrose increased during the first 60 minutes of pollen culture but decreased during tube growth, while glucose and fructose showed the opposite behavior. Glycolysis, tricarbonic acid cycle, glyoxylate cycle, starch, and fatty acid degradation were activated, providing energy during pollen germination and tube growth. Inhibition of the mitochondrial electron transport chain by antimycin A resulted in an immediate production of ethanol and a fast rearrangement of metabolic pathways, which correlated with changes in the amounts of the majority of identified metabolites, e.g. a rapid increase in g-aminobutyric acid indicated the activation of a g-aminobutyric acid shunt in the tricarbonic acid cycle, while ethanol fermentation compensated the reduced ATP production after inhibition of the oxidative phosphorylation.
“…In our original work, 1 we applied the Agilent 44K tobacco gene chip to conduct the first thorough transcriptomic analysis of the tobacco male gametophyte development and the dynamics of gene expression in the first four hours of pollen germination and tube growth. We presented four independent data sets-two male gametophytic mature pollen (MPG) and 4 h pollen tubes (PT4) and two sporophytic leaves (L) and roots (R) as a reference.…”
Figure 2. Scatterplots of log 2 -transformed quantile normalized tmicroarray data showing a correlation of 24 h data set with other tissue arrays. A wider symmetrical scattering of the probes from the 'trendline' implicates higher variability between the tissues, with less dependency between variance and mean expression values, as compared with more tightly packed male gametophytic spots reflecting a closer relationship between these data sets.
“…Such a fact was already demonstrated for Arabidopsis mitochondrial phosphoproteome where phosphopeptide enrichment led to the identification of novel phosphorylation sites that were not previously identified by the alternative approaches (38). As mentioned above, active transcription in activated pollen grain as long as 24 h of pollen tube growth has been shown (54,55). Here, we identified several transcription factors, most of which contained a zinc finger motif.…”
Section: Discussionmentioning
confidence: 70%
“…Tobacco pollen activation and subsequent pollen tube growth was originally shown to be vitally dependent on translation but almost independent of transcription (53). Although our recent microarray transcriptomic analyses revealed a number of mRNAs being synthesized during pollen tube growth even after 24 h of cultivation (54,55), many of the transcripts in the desiccated mature pollen are stored in EDTA/puromycine-resistant particles (EPPs). These particles contain parts of ribosomes and translation apparatus together with mRNAs (56,57) and the translation of EPP-stored mRNAs starts after pollen activation.…”
Section: Discussionmentioning
confidence: 99%
“…MAPKs play a key regulatory role in many physiological processes including stress reactions and pollen hydration (62). CDKs were originally shown to regulate cell cycle and their activity in male gametophyte was expected because both pollen mitoses are precisely regulated (54). The alternative function of CDKs is for example the regulation of pre-mRNA splicing of callose synthase in pollen tube that influences cell wall formation (66).…”
Tobacco mature pollen has extremely desiccated cytoplasm, and is metabolically quiescent. Upon re-hydration it becomes metabolically active and that results in later emergence of rapidly growing pollen tube. These changes in cytoplasm hydration and metabolic activity are accompanied by protein phosphorylation. In this study, we subjected mature pollen, 5-min-activated pollen, and 30-min-activated pollen to TCA/acetone protein extraction, trypsin digestion and phosphopeptide enrichment by titanium dioxide. The enriched fraction was subjected to nLC-MS/MS. We identified 471 phosphopeptides that carried 432 phosphorylation sites, position of which was exactly matched by mass spectrometry. These 471 phosphopeptides were assigned to 301 phosphoproteins, because some proteins carried more phosphorylation sites. Of the 13 functional groups, the majority of proteins were put into these categories: transcription, protein synthesis, protein destination and storage, and signal transduction. Many proteins were of unknown function, reflecting the fact that male gametophyte contains many specific proteins that have not been fully functionally annotated. The quantitative data highlighted the dynamics of protein phosphorylation during pollen activation; the identified phosphopeptides were divided into seven groups based on the regulatory trends. The major group comprised mature pollen-specific phosphopeptides that were dephosphorylated during pollen activation. Several phosphopeptides representing the same phosphoprotein had different regulation, which pinpointed the complexity of protein phosphorylation and its clear functional context. Collectively, we showed the first phosphoproteomics data on activated pollen where the position of phosphorylation sites was clearly demonstrated and regulatory kinetics was resolved. Molecular & Cellular
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