PubMed · 16626465
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Christopher Surridge. 2006. Scale and scalability.. https://doi.org/10.1111/j.1469-8137.2006.01734.x
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BACKGROUND: The establishment of C4 photosynthesis in maize is associated with differential accumulation of gene transcripts and proteins between bundle sheath and mesophyll photosynthetic cell types. We have physically separated photosynthetic cell types in the leaf blade to characterize differences in gene expression by microarray analysis. Additional control treatments were used to account for transcriptional changes induced by cell preparation treatments. To analyse these data, we have developed a statistical model to compare gene expression values derived from multiple, partially confounded, treatment groups. RESULTS: Differential gene expression in the leaves of wild-type maize seedlings was characterized using the latest release of a maize long-oligonucleotide microarray produced by the Maize Array Project consortium. The complete data set is available through the project web site. Data is also available at the NCBI GEO website, series record GSE3890. Data was analysed with and without consideration of cell preparation associated stress. CONCLUSION: Empirical comparison of the two analyses suggested that consideration of stress helped to reduce the false identification of stress responsive transcripts as cell-type enriched. Using our model including a stress term, we identified 8% of features as differentially expressed between bundle sheath and mesophyll cell types under control of false discovery rate of 5%. An estimate of the overall proportion of differentially accumulating transcripts (1-pi0) suggested that as many as 18% of the genes may be differentially expressed between B and M. The analytical model presented here is generally applicable to gene expression data and demonstrates the use of statistical elimination of confounding effects such as stress in the context of microarray analysis. We discuss the implications of the high degree of differential transcript accumulation observed with regard to both the establishment and engineering of the C4 syndrome.
Deuterium enrichment of bulk water was measured and modeled in snowgum (Eucalyptus pauciflora Sieber ex Sprengel) leaves grown under contrasting air and soil humidity in arid and wet conditions in a glasshouse. A map of the enrichment was constructed with a resolution of 4 mm by using a newly designed cryodistillation method. There was progressively increasing enrichment in both longitudinal (along the leaf midrib) and transversal (perpendicular to the midrib) directions, most pronounced in the arid-grown leaf. The whole-leaf average of the enrichment was well below the value estimated by the Craig-Gordon model. The discrepancy between model and measurements persisted when the estimates were carried out separately for the leaf base and tip, which differed in temperature and stomatal conductance. The discrepancy was proportional to the transpiration rate, indicating the significance of diffusion-advection interplay (Péclet effect) of deuterium-containing water molecules in small veins close to the evaporating sites in the leaf. Combined Craig-Gordon and desert-river models, with or without the Péclet number, P, were used for predicting the leaf longitudinal enrichment. The predictions without P overestimated the measured values of deltadeuterium. Fixed P value partially improved the coincidence. We suggest that P should vary along the leaf length l to reconcile the modeled data with observations of longitudinal enrichment. Local values of P, P(l), integrating the upstream fraction of water used or the leaf area, substantially improved the model predictions.
Plant evolutionary developmental genetics (EDG) has made considerable progress over the last decade. This is in part due to the accumulation of large amounts of sequence data that have provided robust organismal phylogenies and, increasingly, broad assessments of molecular evolution. Attempts to use primary sequence data to identify genes that have changed function in evolutionary time have not been as successful as initially hoped. The coding sequences of most genes, which are more amenable to statistical analysis than are regulatory sequences, are generally under purifying selection, as would be expected if much evolutionary change is the result of changes in cis-regulatory sequences. Sequence-based analysis of the regulatory sequences themselves remains difficult. Comparative studies of gene expression have been useful to identify genes whose developmental role may have changed in evolutionary time and will be critical to the future development of EDG. Such studies can be used to test hypotheses of gene function. Transformation experiments are often illuminating, but can be hard to interpret, particularly if genes from multiple species are all placed into a single heterologous system such as Arabidopsis. The ideal experiment would be a gene swap or promoter swap between two species, but this awaits development of good transformation systems. The immediate need for EDG is studies of gene expression on a massive scale, far broader than any studies undertaken to date.