Dianxing Wu

Dr. Dianxing Wu

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 October 2016 in Proceedings of the National Academy of Sciences
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Journal Article
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HZHongju Zhou
Hongju Zhou
LWLijun Wang
Lijun Wang
GLGuifu Liu
Guifu Liu
XMXiangbing Meng
Xiangbing Meng
YJYanhui Jing
Yanhui Jing
JLJiayang Li
Jiayang Li
Changes in human lifestyle and food consumption have resulted in a large increase in the incidence of type-2 diabetes, obesity, and colon disease, especially in Asia. These conditions are a growing threat to human health, but consumption of foods high in resistant starch (RS) can potentially reduce their incidence. Strategies to increase RS in rice are limited by a lack of knowledge of its molecular basis. Through map-based cloning of a RS locus in indica rice, we have identified a defective soluble starch synthase gene (SSIIIa) responsible for RS production and further showed that RS production is dependent on the high expression of the Waxya (Wxa) allele, which is prevalent in indica varieties. The resulting RS has modified granule structure; high amylose, lipid, and amylose–lipid complex; and altered physicochemical properties. This discovery provides an opportunity to increase RS content of cooked rice, especially in the indica varieties, which predominates in southern Asia. Significance Resistant starch (RS) has the potential to protect against diabetes and reduce the incidence of diarrhea, inflammatory bowel disease, colon cancer, and chronic renal and hepatic diseases. In this study, we identified two critical starch synthase genes which together regulate RS biosynthesis in rice, and we explored their potential interactions as part of a network of starch biosynthetic enzymes. The findings hold promise for applications in breeding varieties with improvement of RS in hot cooked rice and may also have general implications for understanding RS biosynthesis in other major cereal crops.

16 November 2010 in Genetica
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Journal Article
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XLXiaobai Li
Xiaobai Li
WYWengui Yan
Wengui Yan
HAHesham Agrama
Hesham Agrama
BHBiaolin Hu
Biaolin Hu
LJLimeng Jia
Limeng Jia
DWDianxing Wu
Dianxing Wu

12 March 2012 in PLOS ONE
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Journal Article
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LJLimeng Jia
Limeng Jia
WYWengui Yan
Wengui Yan
CZChengsong Zhu
Chengsong Zhu
HAHesham A. Agrama
Hesham A. Agrama
AJAaron Jackson
Aaron Jackson
DWDianxing Wu
Dianxing Wu
Sheath blight (ShB) caused by the soil-borne pathogen Rhizoctonia solani is one of the most devastating diseases in rice world-wide. Global attention has focused on examining individual mapping populations for quantitative trait loci (QTLs) for ShB resistance, but to date no study has taken advantage of association mapping to examine hundreds of lines for potentially novel QTLs. Our objective was to identify ShB QTLs via association mapping in rice using 217 sub-core entries from the USDA rice core collection, which were phenotyped with a micro-chamber screening method and genotyped with 155 genome-wide markers. Structure analysis divided the mapping panel into five groups, and model comparison revealed that PCA5 with genomic control was the best model for association mapping of ShB. Ten marker loci on seven chromosomes were significantly associated with response to the ShB pathogen. Among multiple alleles in each identified loci, the allele contributing the greatest effect to ShB resistance was named the putative resistant allele. Among 217 entries, entry GSOR 310389 contained the most putative resistant alleles, eight out of ten. The number of putative resistant alleles presented in an entry was highly and significantly correlated with the decrease of ShB rating (r = −0.535) or the increase of ShB resistance. Majority of the resistant entries that contained a large number of the putative resistant alleles belonged to indica, which is consistent with a general observation that most ShB resistant accessions are of indica origin. These findings demonstrate the potential to improve breeding efficiency by using marker-assisted selection to pyramid putative resistant alleles from various loci in a cultivar for enhanced ShB resistance in rice.

23 January 2012 in PLOS ONE
Verified
Journal Article
Open access
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XLXiaobai Li
Xiaobai Li
WYWengui Yan
Wengui Yan
HAHesham Agrama
Hesham Agrama
LJLimeng Jia
Limeng Jia
AJAaron Jackson
Aaron Jackson
DWDianxing Wu
Dianxing Wu
Harvest index is a measure of success in partitioning assimilated photosynthate. An improvement of harvest index means an increase in the economic portion of the plant. Our objective was to identify genetic markers associated with harvest index traits using 203 O. sativa accessions. The phenotyping for 14 traits was conducted in both temperate (Arkansas) and subtropical (Texas) climates and the genotyping used 154 SSRs and an indel marker. Heading, plant height and weight, and panicle length had negative correlations, while seed set and grain weight/panicle had positive correlations with harvest index across both locations. Subsequent genetic diversity and population structure analyses identified five groups in this collection, which corresponded to their geographic origins. Model comparisons revealed that different dimensions of principal components analysis (PCA) affected harvest index traits for mapping accuracy, and kinship did not help. In total, 36 markers in Arkansas and 28 markers in Texas were identified to be significantly associated with harvest index traits. Seven and two markers were consistently associated with two or more harvest index correlated traits in Arkansas and Texas, respectively. Additionally, four markers were constitutively identified at both locations, while 32 and 24 markers were identified specifically in Arkansas and Texas, respectively. Allelic analysis of four constitutive markers demonstrated that allele 253 bp of RM431 had significantly greater effect on decreasing plant height, and 390 bp of RM24011 had the greatest effect on decreasing panicle length across both locations. Many of these identified markers are located either nearby or flanking the regions where the QTLs for harvest index have been reported. Thus, the results from this association mapping study complement and enrich the information from linkage-based QTL studies and will be the basis for improving harvest index directly and indirectly in rice.

1 May 2019 in International Journal of Biological Macromolecules
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Journal Article
Open access
YSYi Shen
Yi Shen
NZNing Zhang
Ning Zhang
YXYiru Xu
Yiru Xu
JHJiajia Huang
Jiajia Huang
MYMing'An Yuan
Ming'An Yuan
XSXiaoli Shu
Xiaoli Shu
Hydroxypropylation and cross-linking were carried out on three rice starches with 6.93%, 19.02% and 48.41% AAC respectively. AAC affected the efficiency of modification, with AAC increased, the molar substitution of hydroxypropylated starch decreased while degree of substitution of cross-linked starch increased. Modifications decreased starch relative crystallinity while the impacts were dependent on rice varieties. Starch granules of high AAC rice were liable to be disrupted by modification. High AAC rice starch had better processability, modifications have more pronounced influences on starch properties of high AAC. Different modifications showed different influences on starch properties, cross-linking decreased AAC content, pasting clarity and swelling power of all three starches, while hydroxypropylation increased pasting clarity and swelling power of high AAC starch. High-degree modifications decreased starch digestibility, higher-CLD crosslinked starch showed constant digestion rate and might be a suitable modification for produce starchy food for equilibrium glucose level.

10 April 2011 in Planta
Verified
Journal Article
Closed access
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XLXiaobai Li
Xiaobai Li
WYWengui Yan
Wengui Yan
HAHesham Agrama
Hesham Agrama
LJLimeng Jia
Limeng Jia
XSXihong Shen
Xihong Shen
DWDianxing Wu
Dianxing Wu