2017
DOI: 10.1101/120303
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Differentially regulated orthologs in sorghum and the subgenomes of maize

Abstract: Cross-species comparisons of transcriptional regulation have the potential to identify functionally constrained transcriptional regulation and genes for which a change in transcriptional regulation correlates with a change in phenotype. Conventional differential gene expression analysis and a different approach based on identifying differentially regulated orthologs (DROs) are compared using paired time course gene expression data from two species which respond similarly to cold – maize (Zea mays) and sorghum … Show more

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Cited by 28 publications
(55 citation statements)
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“…Hence, data from Sorghum , an outgroup to maize and T. dactyloides were also generated and included. As previously reported (Zhang et al ., ), no gene ontology (GO) terms were significantly enriched among differentially regulated orthologs (DROs) of maize and Sorghum , during cold stress. GO enrichment analysis on the DROs between T. dactyloides −maize (t‐m) and T. dactyloides − Sorghum (t‐s) showed many GO terms enriched at 3 h and 6 h post‐stress (19 and 45 in t‐m, and 17 and 6 in t‐s, respectively) than at 1 and 24 h (0 and 2 in t‐m, and 2 and 0 in t‐s, respectively).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Hence, data from Sorghum , an outgroup to maize and T. dactyloides were also generated and included. As previously reported (Zhang et al ., ), no gene ontology (GO) terms were significantly enriched among differentially regulated orthologs (DROs) of maize and Sorghum , during cold stress. GO enrichment analysis on the DROs between T. dactyloides −maize (t‐m) and T. dactyloides − Sorghum (t‐s) showed many GO terms enriched at 3 h and 6 h post‐stress (19 and 45 in t‐m, and 17 and 6 in t‐s, respectively) than at 1 and 24 h (0 and 2 in t‐m, and 2 and 0 in t‐s, respectively).…”
Section: Resultsmentioning
confidence: 99%
“…Raw fastq sequences for maize and Sorghum cold stress treatment are those published in Zhang et al . (). All data were realigned and reanalyzed using Trimmomatic (Bolger et al ., ), GSNAP (Wu et al ., ) and HTSeq (Anders et al ., ).…”
Section: Methodsmentioning
confidence: 97%
“…The quota was set to –quota = 1:2 for maize and teff, and –quota = 1:1 for all other species. Pairwise syntenic block data were merged and polished using the methodology previously described in (Zhang et al, ) to obtain the final set of high confidence syntenic ortholog groups employed for all downstream analysis.…”
Section: Methodsmentioning
confidence: 99%
“…In some cases a single consensus tripsacum sequence spanned two or more maize gene models ( Figure S3). Maize genes were sorted based on their expression levels using an existing short read RNA-seq dataset from maize seedling tissue (Zhang et al, 2017). Of the 13,089 most highly expressed maize genes, 8,191 (62.6%) were aligned with at least one tripsacum transcript indicating that the expression level of a gene in maize is a relatively good predictor of how likely that gene was to be captured in the tripsacum isoseq data.…”
Section: Full-length Tripsacum Transcriptome Sequencingmentioning
confidence: 99%
“…Secondly, the tripsacum gene must have been uniquely mapped to a single sorghum gene using BLASTN. Thirdly, the maize and sorghum genes must be syntenic orthologs of each other using a previously published dataset (Schnable et al, 2016;Zhang et al, 2017). As a result of the maize WGD shared by maize and tripsacum, in some cases multiple tripsacum sequences mapped to unique maize genes on different maize subgenomes, but to the single shared co-ortholog of these two maize genes in sorghum.…”
Section: Identification Of Orthologs Between Tripsacum and Maizementioning
confidence: 99%