2013
DOI: 10.1007/s11103-013-0025-4
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Whole transcriptome analysis using next-generation sequencing of model species Setaria viridis to support C4 photosynthesis research

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Cited by 53 publications
(37 citation statements)
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“…The copy numbers of the characteristic C4 enzyme genes in E. vivipara, Z. mays and S. bicolor were similar to those in rice (Table 4), which is consistent with the previous observation (Xu et al, 2013), suggesting that increase of the copy number of the C4 related enzyme genes may not be a prerequisite for C4 development.…”
Section: Identification Of Unigenes Coding For C4 Enzymessupporting
confidence: 90%
“…The copy numbers of the characteristic C4 enzyme genes in E. vivipara, Z. mays and S. bicolor were similar to those in rice (Table 4), which is consistent with the previous observation (Xu et al, 2013), suggesting that increase of the copy number of the C4 related enzyme genes may not be a prerequisite for C4 development.…”
Section: Identification Of Unigenes Coding For C4 Enzymessupporting
confidence: 90%
“…), which belongs to family Poaceae, has gained the attention of plant scientists due mainly to its inherent C4 traits. Brutnell et al, (2010) proposed to make this weed a model species for C4 photosynthesis research [1], and there is a progressive support and acceptance to the proposal [2,3]. About 125 species are identified under genus Setaria [4], and S. viridis is considered the ancestral stock of this genus.…”
Section: Introductionmentioning
confidence: 99%
“…Raw reads were filtered and examined using the following steps: 1) trimming down the first 10 bases due to unstable performance in the sequence component using the FASTX-toolkit pipeline version 0.0.13 (http://hannonlab.cshl.edu/fastx_toolkit/); 2) discarding low quality reads to ensure that more than 80% bases of each reserved read possessed an Illumina quality greater than 20 (q20 indicating 1% sequencing error rate); 3) examining the sequencing quality of the reads using FastQC (http://www.bioinformatics.babraham.ac.uk/projects/ fastqc/) (Xu et al 2013).…”
Section: Illumina Sequencingmentioning
confidence: 99%