2018
DOI: 10.1111/pbi.12991
|View full text |Cite
|
Sign up to set email alerts
|

Transcriptome and metabolome reveal distinct carbon allocation patterns during internode sugar accumulation in different sorghum genotypes

Abstract: Sweet sorghum accumulates large amounts of soluble sugar in its stem. However, a system-based understanding of this carbohydrate allocation process is lacking. Here, we compared the dynamic transcriptome and metabolome between the conversion line R9188 and its two parents, sweet sorghum RIO and grain sorghum BTx406 that have contrasting sugar-accumulating phenotypes. We identified two features of sucrose metabolism, stable concentrations of sugar phosphates in RIO and opposite trend of trehalose-6-phosphate (T… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
58
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 56 publications
(61 citation statements)
references
References 95 publications
3
58
0
Order By: Relevance
“…SWEET transporters may be important downstream targets for the regulation of sucrose allocation [19]. Wide ranging traits in four food security cereals are associated with T6P as seen through transgenic modification in maize and rice [13,24], natural genetic variation in wheat [43,45], rice [26] and sorghum [40] and chemical intervention with T6P precursors in wheat [42].…”
Section: Ricementioning
confidence: 99%
See 2 more Smart Citations
“…SWEET transporters may be important downstream targets for the regulation of sucrose allocation [19]. Wide ranging traits in four food security cereals are associated with T6P as seen through transgenic modification in maize and rice [13,24], natural genetic variation in wheat [43,45], rice [26] and sorghum [40] and chemical intervention with T6P precursors in wheat [42].…”
Section: Ricementioning
confidence: 99%
“…In this instance over expression of the TPP gene with a MADS6 promoter active during the flowering period in the phloem of female reproductive tissue, particularly companion cells, reduced T6P levels in pith tissue (Figure 2; [19]). This was associated with up-regulation of sucrose efflux regulators, SWEETs, which could explain enhanced sucrose bZIP and TPP produce differential T6P signal and sucrose accumulation in sweet sorghum stems (high T6P) and down-regulated stem sucrose, starch and cell wall metabolism (low T6P in grain sorghum [40]. Overexpression of a rice TPP gene in maize alters sucrose flow within maize cob in favour of kernels [19].…”
Section: Maizementioning
confidence: 99%
See 1 more Smart Citation
“…The RNA-seq dataset (NCBI accession PRJNA413691) used for 3 UTR analysis was generated previously by us to study genes and networks associated with soluble sugar accumulation in internodes (internodes 2, 3, and 4, numbered from top to bottom) at four post-stem elongation stages from three sorghum genotypes, Rio, BTx406, and R9188 (Li et al, 2019a). The three genotypes contrast in the phenotypes of stem sugar accumulation: Rio accumulates high contents of sugar in stems during the post-flowering stages (āˆ¼20% Brix in the stemextracted juice), while BTx406 has a low stem sugar content (<10% Brix), with R9188 having an intermediate stem sugar content especially during the post-flowering stages (Li et al, 2019a). R9188 is an introgression line developed from the BTx406/Rio cross followed by one backcross to sweet sorghum Rio and contains the early flowering and dwarf loci introgressed from grain sorghum BTx406 (Ritter et al, 2004).…”
Section: Rna-seq For Profiling 3 Untranslated Regionsmentioning
confidence: 99%
“…Its primary applications are to measure the gene expression levels and to calculate differential gene expression (DGE). Like in model species and major crops, RNA-seq has recently been widely employed in sorghum research and advanced our understanding in many aspects of sorghum including development (Davidson et al, 2012;Kebrom et al, 2017;Turco et al, 2017;Leiboff and Hake, 2019), accumulation of sugar/biomass (McKinley et al, 2016(McKinley et al, , 2018Mizuno et al, 2016Mizuno et al, , 2018Zhang L. M. et al, 2018Li et al, 2019aZhang et al, 2019;Hennet et al, 2020), stress responses and tolerance (Dugas et al, 2011;Gelli et al, 2014;Sui et al, 2015;Fracasso et al, 2016;Yang et al, 2018;Varoquaux et al, 2019), senescence (Johnson et al, 2015;Wu et al, 2016a), and regulation of miRNA and long non-coding RNA (Calvino et al, 2011;Sun et al, 2020).…”
Section: Introductionmentioning
confidence: 99%