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We tested for protein-level buffering of transcriptional changes during species divergence by comparing the difference between transcript abundance and protein abundance for three pairs of species and one intraspecific pair.
Consistent with recent findings in other systems, they also find a low correlation between transcript abundance and protein abundance, suggesting a major role of post-transcriptional regulation in this developmental process.
Although no obvious commonalities among shutoff escapees were identified, we do detect a strong inverse correlation between transcript abundance and susceptibility to shutoff.
The wide range of transcript expression in biological samples makes this skewed read distribution of coverage an important factor when profiling mRNAs at the nucleotide level, departing from models that may assume a linear correlation between transcript abundance and sequencing coverage.
A highly variable correlation between transcript abundance and activity was found for the other monitored enzymes.
This is supported by the strong correlation between transcript abundance and phenotype severity.
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The correlation (R2 ) between transcript abundance using unamplified and Super SMART™ PCR amplified targets was 0.77 for scrapings and 0.68 for planings.
If the gene-specific residual,, for a gene, i, is sufficiently large, it follows that the relationship between mRNA transcript abundance and the transcriptional regulatory elements described by the corresponding regression model does not hold for i.
Correlations between transcript abundance (log2 fold change) and uptake of C and N compounds were calculated using a Spearman Rank Correlation coefficient.
Tracer experiments were conducted with N and C to determine rates at which N- and C-containing compounds were being assimilated by Microcystis and assess the relationship between transcript abundance of specific transporters and actual uptake rates.
A linear regression of the log2-ratios of those genes found strong correlation between transcript abundance measured by microarray and qRT-PCR methods (Pearson correlation, r = 0.85) and a very high degree of directional concordance (34/39 genes or 87%).
More suggestions(23)
between abundance and oxidation
between transcript support and
between coal abundance and
between transcript quantity and
between microbial abundance and
between transcript accumulation and
between tsetse abundance and
between relative abundance and
between algal abundance and
between phytoplankton abundance and
between sardine abundance and
between transcript regulation and
between avian abundance and
between observed abundance and
between transcript intensity and
between parasitoid abundance and
between transcript enrichment and
between transcript density and
between transcript length and
between transcript elongation and
between parasite abundance and
between transcript level and
between nematode abundance and
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