Overexpression of UDP-glucose pyrophosphorylase gene could increase cellulose content in Jute (Corchorus capsularis L.)

Zhang, Gaoyang; Qi, Jianmin; Xu, Jiantang; Niu, Xiaoping; Zhang, Yujia; Tao, Aifen; Zhang, Liwu; Fang, Pingping; Lin, Lihui

doi:10.1016/j.bbrc.2013.11.053

Cited by 34 publications

(27 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…UGPase catalyzes the glucose-1-phosphate reaction to form uridine diphosphate glucose (UDPG), and the UDPGs are catalyzed by UGDH to biosynthesize uronic acids, the main elements of plant cell wall polysaccharides. These pathways lead to the biosynthesis and modification of plant cell wall matrix carbohydrates, as documented in the reports [35][36][37][38]. Fourth, the abundance of most of the identified protein species that were involved in amino acid or nucleotide metabolism was increased during Populus early stem lignifications (Table 1), which suggests the influx of primary carbohydrates into these pathways for matrix carbohydrates of SCWs.…”

Section: Discussionmentioning

confidence: 87%

Comparative proteomic analysis of Populus trichocarpa early stem from primary to secondary growth

Liu

Hai

Wang

et al. 2015

Journal of Proteomics

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 87%

Comparative proteomic analysis of Populus trichocarpa early stem from primary to secondary growth

Liu

Hai

Wang

et al. 2015

Journal of Proteomics

View full text Add to dashboard Cite

“…Another target for influencing carbon allocation is UDPglucose pyrophosphorylase, which produces UDP-glucose. A corresponding UDP-glucose pyrophosphorylase double mutant in Arabidopsis displayed a significant reduction in cellulose synthase expression [54], while overexpression of this enzyme in Jute lead to an increase in cellulose content [55]. These approaches clearly indicate that it is possible to alter carbon flux towards wall polymers even without affecting overall plant biomass accumulation, but our knowledge of this area is too rudimental to predict which polymers might be affected.…”

Section: Increasing Wall Sugarsmentioning

confidence: 98%

Engineering of plant cell walls for enhanced biofuel production

Loqué

Scheller

Pauly

2015

Current Opinion in Plant Biology

181

125

View full text Add to dashboard Cite

The biomass of plants consists predominately of cell walls, a sophisticated composite material composed of various polymer networks including numerous polysaccharides and the polyphenol lignin. In order to utilize this renewable, highly abundant resource for the production of commodity chemicals such as biofuels, major hurdles have to be surpassed to reach economical viability. Recently, major advances in the basic understanding of the synthesis of the various wall polymers and its regulation has enabled strategies to alter the qualitative composition of wall materials. Such emerging strategies include a reduction/alteration of the lignin network to enhance polysaccharide accessibility, reduction of polymer derived processing inhibitors, and increases in polysaccharides with a high hexose/pentose ratio.

show abstract

“…Jute is of importance to textile and paper industries as it is a valuable ingredient for producing paper and fine textiles, as well as being a renewable source for biofuel [3]. Jute fibers exhibit a characteristically high luster, good moisture absorption performance, rapid water loss capacity, and easy degradation [4]. Therefore, the use of jute has received considerable attention in many countries [5].…”

Section: Introductionmentioning

confidence: 99%

High-density genetic map construction and QTLs identification for plant height in white jute (Corchorus capsularis L.) using specific locus amplified fragment (SLAF) sequencing

Tao

Huang

et al. 2017

BMC Genomics

Self Cite

View full text Add to dashboard Cite

BackgroundGenetic mapping and quantitative trait locus (QTL) detection are powerful methodologies in plant improvement and breeding. White jute (Corchorus capsularis L.) is an important industrial raw material fiber crop because of its elite characteristics. However, construction of a high-density genetic map and identification of QTLs has been limited in white jute due to a lack of sufficient molecular markers. The specific locus amplified fragment sequencing (SLAF-seq) strategy combines locus-specific amplification and high-throughput sequencing to carry out de novo single nuclear polymorphism (SNP) discovery and large-scale genotyping. In this study, SLAF-seq was employed to obtain sufficient markers to construct a high-density genetic map for white jute. Moreover, with the development of abundant markers, genetic dissection of fiber yield traits such as plant height was also possible. Here, we present QTLs associated with plant height that were identified using our newly constructed genetic linkage groups.ResultsAn F8 population consisting of 100 lines was developed. In total, 69,446 high-quality SLAFs were detected of which 5,074 SLAFs were polymorphic; 913 polymorphic markers were used for the construction of a genetic map. The average coverage for each SLAF marker was 43-fold in the parents, and 9.8-fold in each F8 individual. A linkage map was constructed that contained 913 SLAFs on 11 linkage groups (LGs) covering 1621.4 cM with an average density of 1.61 cM per locus. Among the 11 LGs, LG1 was the largest with 210 markers, a length of 406.34 cM, and an average distance of 1.93 cM between adjacent markers. LG11 was the smallest with only 25 markers, a length of 29.66 cM, and an average distance of 1.19 cM between adjacent markers. ‘SNP_only’ markers accounted for 85.54% and were the predominant markers on the map. QTL mapping based on the F8 phenotypes detected 11 plant height QTLs including one major effect QTL across two cultivation locations, with each QTL accounting for 4.14–15.63% of the phenotypic variance.ConclusionsTo our knowledge, the linkage map constructed here is the densest one available to date for white jute. This analysis also identified the first QTL in white jute. The results will provide an important platform for gene/QTL mapping, sequence assembly, genome comparisons, and marker-assisted selection breeding for white jute.

show abstract

Overexpression of UDP-glucose pyrophosphorylase gene could increase cellulose content in Jute (Corchorus capsularis L.)

Cited by 34 publications

References 21 publications

Comparative proteomic analysis of Populus trichocarpa early stem from primary to secondary growth

Comparative proteomic analysis of Populus trichocarpa early stem from primary to secondary growth

Engineering of plant cell walls for enhanced biofuel production

High-density genetic map construction and QTLs identification for plant height in white jute (Corchorus capsularis L.) using specific locus amplified fragment (SLAF) sequencing

Contact Info

Product

Resources

About