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Featured researches published by Lihui Lin.


Journal of Integrative Agriculture | 2013

Effect of Cadmium Stress on the Growth, Antioxidative Enzymes and Lipid Peroxidation in Two Kenaf (Hibiscus cannabinus L.) Plant Seedlings

Feng-tao Li; Jian-min Qi; Gaoyang Zhang; Lihui Lin; Pingping Fang; Aifen Tao; Jian-Tang Xu

Abstract The effects of cadmium stress on the growth, antioxidative enzymes and lipid peroxidation in two kenaf plants, Fuhong 991 and ZM412, were analysed under control (0.5-strength Hoaglands nutrient solution) or five levels of cadmium stress (0.5-strength Hoaglands nutrient solution containing different concentrations of Cd2+). The leaves and roots of control and cadmium-stressed plants were harvested after 3 wk. At the same Cd concentration, the Cd tolerance index of Fuhong 991 was higher than that of ZM412, indicating that Fuhong 991 may be more tolerant to Cd than ZM412. The superoxide dismutase (SOD), catalase activity (CAT) and peroxidase (POD) activities fluctuated in the leaves of the Cd-stressed plants compared to the control, whereas the glutathione reductase activity (GR) was much larger than the control for Fuhong 991, ensuring that sufficient quantities of GSH were available to respond to the cadmium stress. In comparison to the control, the dynamic tendency of the SOD, CAT and POD activities in roots of the Cd-stressed plants all increased and then declined, but the POD activity of Fuhong 991 remained nearly unchanged at all of the stress levels. The increase in the enzyme activities demonstrated that Fuhong 991 was more tolerant to cadmium than ZM 412. The lipid peroxidation was enhanced only in the leaves of Cd-stressed ZM 412. These findings indicated that antioxidative activities may play important roles in Cd-stressed Fuhong 991 and ZM 412 and that the leaf and root cell membranes of Fuhong 991 have a greater stability than those of ZM 412. For pollution monitoring purposes, the GR activity in the roots and leaves may serve as a biomarker of Cd for Fuhong 991, whereas lipid peroxidation may serve as biomarker for ZM 412.


Biochemical and Biophysical Research Communications | 2013

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

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

In this study, the full-length cDNA of the UDP-glucose pyrophosphorylase gene was isolated from jute by homologous cloning (primers were designed according to the sequence of UGPase gene of other plants) and modified RACE techniques; the cloned gene was designated CcUGPase. Using bioinformatic analysis, the gene was identified as a member of the UGPase gene family. Real-time PCR analysis revealed differential spatial and temporal expression of the CcUGPase gene, with the highest expression levels at 40 and 120d. PCR and Southern hybridization results indicate that the gene was integrated into the jute genome. Overexpression of CcUGPase gene in jute revealed increased height and cellulose content compared with control lines, although the lignin content remained unchanged. The results indicate that the jute UGPase gene participates in cellulose biosynthesis. These data provide an important basis for the application of the CcUGPase gene in the improvement of jute fiber quality.


PLOS ONE | 2015

Genetic Structure and Relationship Analysis of an Association Population in Jute (Corchorus spp.) Evaluated by SSR Markers

Liwu Zhang; Minhang Yuan; Aifen Tao; Jiantang Xu; Lihui Lin; Pingping Fang; Jianmin Qi

Population structure and relationship analysis is of great importance in the germplasm utilization and association mapping. Jute, comprised of white jute (C. capsularis L) and dark jute (C. olitorius L), is second to cotton in its commercial significance in the world. Here, we assessed the genetic structure and relationship in a panel of 159 jute accessions from 11 countries and regions using 63 SSRs. The structure analysis divided the 159 jute accessions from white and dark jute into Co and Cc group, further into Co1, Co2, Cc1 and Cc2 subgroups. Out of Cc1 subgroup, 81 accessions were from China and the remaining 10 accessions were from India (2), Japan (5), Thailand, Vietnam (2) and Pakistan (1). Out of Cc2 subgroup, 35 accessions were from China, and the remaining 3 accessions were from India, Pakistan and Thailand respectively. It can be inferred that the genetic background of these jute accessions was not always correlative with their geographical regions. Similar results were found in Co1 and Co2 subgroups. Analysis of molecular variance revealed 81% molecular variation between groups but it was low (19%) within subgroups, which further confirmed the genetic differentiation between the two groups. The genetic relationship analysis showed that the most diverse genotypes were Maliyeshengchangguo and Changguozhongyueyin in dark jute, BZ-2-2, Aidianyehuangma, Yangjuchiyuanguo, Zijinhuangma and Jute 179 in white jute, which could be used as the potential parents in breeding programs for jute improvement. These results would be very useful for association studies and breeding in jute.


Journal of Natural Fibers | 2015

An Efficient Regeneration System and Optimization of the Transformation from the Cotyledonary Node of Jute (Corchorus capsularis L.)

Gaoyang Zhang; Yujia Zhang; Jiantang Xu; Feng Tao Li; Aifen Tao; Liwu Zhang; Pingping Fang; Lihui Lin; Jianmin Qi

The purpose of this study was to use cotyledonary nodes as explants to establish an efficient regeneration protocol for jute (Corchorus capsularis L.) on Murashige and Skoog (MS) basal medium. Research into the different growth regulators using the orthogonal design L16 (45) revealed that the best shoot induction medium is MS medium containing 8% (w/v) agar and 3% (w/v) sucrose supplemented with 1.0 mg/L 6BA and 0.25 mg/L NAA. The average number of shoots per explant and the explant induction rate were 9.8 and 100%. After 3 weeks, 2–3 cm shoots were rooting on 1/2 MS medium containing 8% (w/v) agar and 3% (w/v) sucrose supplemented with 1.0 mg/L 6-BA + 0.2 mg/L NAA. Moreover, we optimized Agrobacterium-mediated transformation using the GUS gene transient expression system. The best condition for obtaining higher transformation rate consisted of the use of fresh explants to which 100 μM acetosyringone was added for a co-culture time of 10 min, the OD value of Agrobacterium liquid is 0.5 at 600 nm. These data provide an important basis for the application of other trait gene in the improvement of jute fiber quality.


Gene | 2014

The CCoAOMT1 gene from jute (Corchorus capsularis L.) is involved in lignin biosynthesis in Arabidopsis thaliana

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


Plant Breeding | 2014

Genetic linkage map construction for white jute (Corchorus capsularis L.) using SRAP, ISSR and RAPD markers

Yanping Chen; Liwu Zhang; Jianmin Qi; Hui Chen; Aifen Tao; Jiantang Xu; Lihui Lin; Pingping Fan


Molecular Breeding | 2015

De novo assembly of kenaf (Hibiscus cannabinus) transcriptome using Illumina sequencing for gene discovery and marker identification

Liwu Zhang; Xuebei Wan; Jiantang Xu; Lihui Lin; Jianmin Qi


Crop Journal | 2015

Genetic diversity and DNA fingerprinting in jute (Corchorus spp.) based on SSR markers

Liwu Zhang; Rongrong Cai; Minhang Yuan; Aifen Tao; Jiantang Xu; Lihui Lin; Pingping Fang; Jianmin Qi


BMC Genomics | 2017

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

Aifen Tao; Long Huang; Guifen Wu; Reza Keshavarz Afshar; Jianmin Qi; Jiantang Xu; Pingping Fang; Lihui Lin; Liwu Zhang; Peiqing Lin


Archive | 2012

Jute functional beverage and preparation method thereof

Jianmin Qi; Yufang Luo; Guozhong Liu; Pingping Fang; Lihui Lin; Peiqing Lin; Xinhuai Wang; Lirui Cao

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Pingping Fang

Fujian Agriculture and Forestry University

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Aifen Tao

Fujian Agriculture and Forestry University

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Jianmin Qi

Fujian Agriculture and Forestry University

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Jiantang Xu

Fujian Agriculture and Forestry University

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Liwu Zhang

Fujian Agriculture and Forestry University

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Peiqing Lin

Fujian Agriculture and Forestry University

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Gaoyang Zhang

Shangrao Normal University

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Jian-Tang Xu

Fujian Agriculture and Forestry University

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Yujia Zhang

Fujian Agriculture and Forestry University

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Jian-Min Qi

Fujian Agriculture and Forestry University

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