Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Lihong Xie is active.

Publication


Featured researches published by Lihong Xie.


PLOS ONE | 2014

Diversity of Global Rice Markets and the Science Required for Consumer-Targeted Rice Breeding

Mariafe Calingacion; Alice G. Laborte; Andrew Nelson; Adoracion P. Resurreccion; Jeanaflor Crystal T. Concepcion; Venea Dara Daygon; Roland Mumm; Russell F Reinke; Sharifa Sultana Dipti; Priscila Zaczuk Bassinello; John Manful; Sakhan Sophany; Karla Cordero Lara; Jinsong Bao; Lihong Xie; Katerine Loaiza; Ahmad El-hissewy; Joseph Gayin; Neerja Sharma; Sivakami Rajeswari; Swaminathan Manonmani; N. Shobha Rani; Suneetha Kota; Siti Dewi Indrasari; Fatemeh Habibi; Maryam Hosseini; Fatemeh Tavasoli; Keitaro Suzuki; Takayuki Umemoto; Chanthkone Boualaphanh

With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ‘one size fits all’ crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future. Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market.


Cereal Chemistry | 2009

Addressing the dilemmas of measuring amylose in rice.

Melissa A. Fitzgerald; Christine J. Bergman; Adoracion P. Resurreccion; Jürgen Möller; Rosario Jimenez; Russell F Reinke; Margrit Martin; Pedro Blanco; Federico Molina; Ming-Hsuan Chen; Victoria Kuri; Marissa V. Romero; Fatemeh Habibi; Takayuki Umemoto; Supanee Jongdee; Eduardo Graterol; K. Radhika Reddy; Priscila Zaczuk Bassinello; Rajeswari Sivakami; N. Shobha Rani; Sanjukta Das; Ya-Jane Wang; Siti Dewi Indrasari; Asfaliza Ramli; Rauf Ahmad; Sharifa S. Dipti; Lihong Xie; Nguyen Thi Lang; Pratibha Singh; Dámaso Castillo Toro

ABSTRACT Amylose content is a parameter that correlates with the cooking behavior of rice. It is measured at the earliest possible stages of rice improvement programs to enable breeders to build the foundations of appropriate grain quality during cultivar development. Amylose is usually quantified by absorbance of the amylose-iodine complex. The International Network for Quality Rice (INQR) conducted a survey to determine ways that amylose is measured, reproducibility between laboratories, and sources of variation. Each laboratory measured the amylose content of a set of 17 cultivars of rice. The study shows that five different versions of the iodine binding method are in use. The data show that repeatability was high within laboratories but reproducibility between laboratories was low. The major sources of variability were the way the standard curve was constructed and the iodine binding capacity of the potato amylose used to produce the standard. Reproducibility is much lower between laboratories using ...


Rice | 2010

Important Sensory Properties Differentiating Premium Rice Varieties

Elaine T. Champagne; Karen L. Bett-Garber; Melissa A. Fitzgerald; Casey C. Grimm; Jeanne M. Lea; Ken’ichi Ohtsubo; Supanee Jongdee; Lihong Xie; Priscila Zaczuk Bassinello; Adoracion P. Resurreccion; Rauf Ahmad; Fatemah Habibi; Russell F Reinke

In rice-consuming countries, specific varieties are recognized as premium, “gold standard” varieties, while others are recognized as being superior but second best, despite being identical using the current suite of tools to evaluate quality. The objectives of this study were to determine if there are distinguishable differences in sensory properties of premium and second best varieties and whether these differences are common to premium varieties. Color, an important sensory property, was determined on the raw and cooked rice using a colorimeter. As raw rice, some of the premium varieties were whiter than their second best counterparts while others were not. However, when cooked, with two exceptions, the premium varieties were of the same or greater whiteness than their counterparts. A trained sensory panel employed descriptive sensory analysis, an objective tool, to characterize and analytically measure the flavor (aromatics, taste, mouthfeel) and texture of premium and second best varieties collected from nine rice-consuming countries. Sweet taste, popcorn aroma/flavor, and water-like metallic mouthfeel showed significant differences in intensity between the premium–second best variety pairs. Slickness, roughness, and springiness were the major traits that distinguished the texture of varieties. Quality evaluation programs do not routinely measure these texture and flavor traits, but the fact that they distinguished the varieties in most pairs indicates that their measurement should be added to the suite of grain quality tests in the development of new higher-yielding, stress-tolerant varieties. The incorporation of premium quality will ensure that quality is no impediment to widespread adoption leading to enhanced productivity and food security.


Journal of Integrative Plant Biology | 2017

GRAIN INCOMPLETE FILLING 2 regulates grain filling and starch synthesis during rice caryopsis development

Xiangjin Wei; Guiai Jiao; Haiyan Lin; Zhonghua Sheng; Gaoneng Shao; Lihong Xie; Shaoqing Tang; Qingguo Xu; Peisong Hu

Rice grain filling determines grain weight, final yield and grain quality. Here, a rice defective grain filling mutant, gif2, was identified. Grains of gif2 showed a slower filling rate and a significant lower final grain weight and yield compared to wild-type. The starch content in gif2 was noticeably decreased and its physicochemical properties were also altered. Moreover, gif2 endosperm cells showed obvious defects in compound granule formation. Positional cloning identified GIF2 to encode an ADP-glucose pyrophosphorylase (AGP) large subunit, AGPL2; consequently, AGP enzyme activity in gif2 endosperms was remarkably decreased. GIF2 is mainly expressed in developing grains and the coded protein localizes in the cytosol. Yeast two hybrid assay showed that GIF2 interacted with AGP small subunits OsAGPS1, OsAGPS2a and OsAGPS2b. Transcript levels for granule-bound starch synthase, starch synthase, starch branching enzyme and starch debranching enzyme were distinctly elevated in gif2 grains. In addition, the level of nucleotide diversity of the GIF2 locus was extremely low in both cultivated and wild rice. All of these results suggest that GIF2 plays important roles in the regulation of grain filling and starch biosynthesis during caryopsis development, and that it has been preserved during selection throughout domestication of modern rice.


Cereal Chemistry | 2011

Use of Mixolab in Predicting Rice Quality

Lihong Xie; Neng Chen; Shaoqing Tang; Ju Luo; Guiai Jiao; Peisong Hu

ABSTRACT Mixolab is a new instrument with capability to measure starch pasting properties on actual dough. It characterizes dough rheological behavior using a dual constraints of mixing and temperature. Rice samples (183) collected from 15 provinces across China were tested to determine the possibility of using Mixolab in predicting rice quality. Mixolab measurements, torque (Nm) at different mixing and heating stages (C1 to C5) were compared with rice quality characteristics (gelatinization temperature and consistency, amylose and protein contents), Rapid Visco-Analyser (RVA) parameters and sensory assessments scores of cooked rice. Our results showed that Mixolab parameters were good indicators of amylose and protein content and quality suggested by significant correlations among Mixolab parameters, and between Mixolab and RVA measurements. Based on a subsample of 30 rice cultivars, correlation coefficients between the Mixolab parameter C4 and sensory assessment characteristics of palatability and total...


Cereal Chemistry | 2015

Optimization of Near-Infrared Reflectance Model in Measuring Gelatinization Characteristics of Rice Flour with a Rapid Viscosity Analyzer (RVA) and Differential Scanning Calorimeter (DSC)

Lihong Xie; Xiaoyan He; Binwu Duan; Shaoqing Tang; Ju Luo; Guiai Jiao; Gaoneng Shao; Xiangjin Wei; Zhonghua Sheng; Peisong Hu

This study compared the calibration models generated by combinations of different mathematical and preprocessing treatments as well as regression algorithms to optimize the analysis of gelatinization properties of rice flour by using near-infrared spectroscopy, in comparison with conventional techniques of differential scanning calorimetry (DSC) and rapid viscosity analysis (RVA). A total of 220 milled rice flours were used for model construction. A model generated by the modified partial least squares regression (MPLS) with mathematical treatment “2, 8, 8, 2” (second-order derivative computed based on eight data points, and eight and two data points in the second smoothing, respectively) and detrend preprocessing was identified as the best for simultaneously measuring onset temperature (To), peak temperature (Tp), and conclusion temperature (Tc) of DSC. MPLS/“2, 8, 8, 2”/weighted multiplicative scattering correction preprocessing was identified as the best for RVA properties. The results indicated that n...


Journal of Experimental Botany | 2017

White Leaf and Panicle 2, encoding a PEP-associated protein, is required for chloroplast biogenesis under heat stress in rice

Yusong Lv; Gaoneng Shao; Jiehua Qiu; Guiai Jiao; Zhonghua Sheng; Lihong Xie; Yawen Wu; Shaoqing Tang; Xiangjin Wei; Peisong Hu

WLP2, encoding a PEP-associated protein, and its paralog OsFLN2 can interact with OsTRXz to form a TRX-FLN regulatory module to protect chloroplast development from heat stress in rice.


Cereal Chemistry | 2014

Impact of Rice Flour Cold-Water-Soluble Fraction Removal on Gelatinization and Pasting Properties

Guiai Jiao; Xiangjin Wei; Gaoneng Shao; Lihong Xie; Zhonghua Sheng; Shaoqing Tang; Peisong Hu

ABSTRACT The influence of the cold-water-soluble fraction on gelatinization and pasting properties of rice flour was investigated. The cold-water-soluble fraction was removed by water extraction under room temperature. The gelatinization properties of untreated and treated flour were analyzed with a differential scanning calorimeter, and pasting profiles were measured with a rapid viscosity analyzer. The removal of the cold-water-soluble fraction resulted in the formation of a loosened starch granule structure, a morphological alteration of protein bodies, a markedly lower gelatinization temperature, and a significantly higher pasting enthalpy. The impact on paste viscosity followed different trends. In some cultivars that had lower endogenous amylase activity, the paste viscosity was greatly reduced by the removal of the cold-water-soluble fraction. In others, the higher level of endogenous amylase activity led to more soluble saccharides being released through starch hydrolysis. Removing the soluble fra...


Plant Biotechnology Journal | 2018

OsPK2 encodes a plastidic pyruvate kinase involved in rice endosperm starch synthesis, compound granule formation and grain filling

Yicong Cai; Sanfeng Li; Guiai Jiao; Zhonghua Sheng; Yawen Wu; Gaoneng Shao; Lihong Xie; Cheng Peng; Junfeng Xu; Shaoqing Tang; Xiangjin Wei; Peisong Hu

Summary Starch is the main form of energy storage in higher plants. Although several enzymes and regulators of starch biosynthesis have been defined, the complete molecular machinery remains largely unknown. Screening for irregularities in endosperm formation in rice represents valuable prospect for studying starch synthesis pathway. Here, we identified a novel rice white‐core endosperm and defective grain filling mutant, ospk2, which displays significantly lower grain weight, decreased starch content and alteration of starch physicochemical properties when compared to wild‐type grains. The normal starch compound granules were drastically reduced and more single granules filled the endosperm cells of ospk2. Meanwhile, the germination rate of ospk2 seeds after 1‐year storage was observably reduced compared with wild‐type. Map‐based cloning of OsPK2 indicated that it encodes a pyruvate kinase (PK, ATP: pyruvate 2‐O‐phosphotransferase, EC 2.7.1.40), which catalyses an irreversible step of glycolysis. OsPK2 has a constitutive expression in rice and its protein localizes in chloroplasts. Enzyme assay showed that the protein product from expressed OsPK2 and the crude protein extracted from tissues of wild‐type exhibits strong PK activity; however, the mutant presented reduced protein activity. OsPK2 (PKpα1) and three other putative rice plastidic isozymes, PKpα2, PKpβ1 and PKpβ2, can interact to form heteromer. Moreover, the mutation leads to multiple metabolic disorders. Altogether, these results denote new insights into the role of OsPK2 in plant seed development, especially in starch synthesis, compound granules formation and grain filling, which would be useful for genetic improvement of high yield and rice grain quality.


PLOS ONE | 2017

Yellow-Leaf 1 encodes a magnesium-protoporphyrin IX monomethyl ester cyclase, involved in chlorophyll biosynthesis in rice (Oryza sativa L.).

Zhonghua Sheng; Yusong Lv; Wei Li; Rongjian Luo; Xiangjin Wei; Lihong Xie; Guiai Jiao; Gaoneng Shao; Jianlong Wang; Shaoqing Tang; Peisong Hu

Magnesium-protoporphyrin IX monomethyl ester cyclase (MPEC) catalyzes the conversion of MPME to divinyl protochlorophyllide (DVpchlide). This is an essential enzyme during chlorophyll (Chl) biosynthesis but details of its function in rice are still lacking. Here, we identified a novel rice mutant yellow-leaf 1 (yl-1), which showed decreased Chl accumulation, abnormal chloroplast ultrastructure and attenuated photosynthetic activity. Map-based cloning and over-expression analysis suggested that YL-1 encodes a subunit of MPEC. The YL-1 protein localizes in chloroplasts, and it is mainly expressed in green tissues, with greatest abundance in leaves and young panicles. Results of qRT-PCR showed that Chl biosynthesis upstream genes were highly expressed in the yl-1 mutant, while downstream genes were compromised, indicating that YL-1 plays a pivotal role in the Chl biosynthesis. Furthermore, the expression levels of photosynthesis and chloroplast development genes were also affected. RNA-seq results futher proved that numerous membrane-associated genes, including many plastid membrane-associated genes, have altered expression pattern in the yl-1 mutant, implying that YL-1 is required for plastid membrane stability. Thus, our study confirms a putative MPME cyclase as a novel key enzyme essential for Chl biosynthesis and chloroplast membrane stability in rice.

Collaboration


Dive into the Lihong Xie's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Priscila Zaczuk Bassinello

Empresa Brasileira de Pesquisa Agropecuária

View shared research outputs
Top Co-Authors

Avatar

Adoracion P. Resurreccion

International Rice Research Institute

View shared research outputs
Researchain Logo
Decentralizing Knowledge