Detang Zou
Northeast Agricultural University
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Featured researches published by Detang Zou.
Biologia Plantarum | 2014
Jian Sun; Detang Zou; F. S. Luan; Hongwei Zhao; Jingguo Wang; Hualong Liu; Dongwei Xie; D. Q. Su; J. Ma; Z. L. Liu
Rice (Oryza sativa L.) is seriously impacted by global soil salinization. To determine the quantitative trait loci (QTLs) related to salt tolerance in rice roots, F2:3 and BC1F2:3 populations derived from a cross between the cv. Dongnong 425 of high quality and yield and the salt-tolerant cv. Changbai 10, were studied at different development stages. Two genetic linkage maps of F2:3 and BC1F2:3 populations were constructed. A 66 mM NaCl solution was used to irrigate the field and to analyze the dynamic QTL of some rice root traits. Using unconditional and conditional QTL mapping methods, 30 unconditional QTLs and 16 conditional QTLs related to the 6 root traits were detected on the 9 rice chromosomes during different developmental stages. Fourteen pairs of unconditional and conditional QTLs were detected at the identical developmental stage in the identical population. A number of QTLs were detected at different developmental stages, however, many did not appear at the last stage. Remarkably, qRKC1 appeared continuously at multiple stages in both the populations suggesting its key role in regulating the salt tolerance of rice roots.
Genes & Genomics | 2013
Jian Sun; Dongwei Xie; Hongwei Zhao; Detang Zou
Aminotransferases are pyridoxal 5′-phosphate-dependent enzymes that play crucial roles in plant growth, development, and responses to abiotic stress. The class III aminotransferase family (ATIII family) is an important subfamily. However, no characterization of rice ATIII genes has been previously reported. Using available rice genome sequence information, we identified 12 japonica and 13 indicaATIII genes that were randomly localized on chromosomes 2, 3, 4, 5, 7, 8, and 11. Information provided by the Plant Genome Duplication Database revealed that four japonica and four indicaATIII genes are the results of segmental duplications, and two japonica and six indica genes resulted from tandem duplications. A phylogenetic analysis of the ATIII genes in japonica, indica and Arabidopsis enabled the classification of the genes into six different groups, and the characteristics were established before the monocot-dicot and japonica–indica split. An analysis of the Ka/Ks, divergence time and average indel length suggested the diverse selection styles of the duplicated gene pairs. Gene structure and motif analyses revealed that the ATIII gene family has experienced extensive divergence. Real-time PCR was performed to examine the expression pattern of the japonicaATIII genes in response to various abiotic stresses including drought, salt, and cold. The results suggested that most of the genes were differentially up- or down-regulated in rice seedlings in response to at least one stress factor, which indicates the key role of the rice ATIII gene family in responding to abiotic stresses. These results provide a basis for elucidating the roles of the ATIII genes and their further functional analysis under abiotic stresses.
Journal of Integrative Agriculture | 2016
J. G. Wang; Jian Sun; Cheng-xin Li; Hualong Liu; Jingguo Wang; Hongwei Zhao; Detang Zou
Abstract Plant height (PH) is one of the most important agronomic traits of rice, as it directly affects the lodging resistance and the high yield potential. Meanwhile, PH is often constrained by water supply over the entire growth period. In this study, a recombinant inbred line (RIL) derived from Xiaobaijingzi and Kongyu 131 strains grown under drought stress and with normal irrigation over 2 yr (2013 and 2014), respectively (regarded as four environments), was used to dissect the genetic basis of PH by developmental dynamics QTL analysis combined with QTL×environment interactions. QTLs with net effects excluding the accumulated effects were detected to explore the relationship between gene×gene interactions and gene×environment interactions in specific growth period. A total of 26 additive QTLs (A-QTLs) and 37 epistatic QTLs (E-QTLs) associated with PH were detected by unconditional and conditional mapping over seven growth periods. qPH-2-3, qPH-4-3, qPH-6-1, qPH-7-1, and qPH-12-5 could be detected by both unconditional and conditional analyses. qPH-4-3 and qPH-7-5 were detected in four stages (periods) to be sequentially expressed QTLs controlling PH continuous variation. QTLs with additive effects (A-QTLs) were mostly expressed in the period S3|S2 (the time interval from stages 2 to 3), and QTL×environment interactions performed actively in the first three stages (periods) which could be an important developmental period for rice to undergo external morphogenesis during drought stress. Several QTLs showed high adaptability for drought stress and many QTLs were closely related to the environments such as qPH-3-5, qPH-2-2 and qPH-6-1. 72.5% of the QTLs with a and aa effects detected by conditional analysis were under drought stress, and the PVE of QTLs detected by conditional analysis under drought stress were also much higher than that under normal irrigation. We infer that environments would influence the detection results and sequential expression of genes was highly influenced by environments as well. Many QTLs (qPH-1-2, qPH-3-5, qPH-4-1, qPH-2-3) coincident with previously identified drought resistance genes. The result of this study is helpful to elucidating the genetic mechanism and regulatory network underlying the development of PH in rice and providing references to marker assisted selection.
Scientific Reports | 2018
Ning Li; Hualong Liu; Jian Sun; Hongliang Zheng; Jingguo Wang; Luomiao Yang; Hongwei Zhao; Detang Zou
Soil alkalinity greatly affects plant growth and crop productivity. Although RNA-Seq analyses have been conducted to investigate genome-wide gene expression in response to alkaline stress in many plants, the expressions of alkali-responsive genes in rice have not been previously investigated. In this study, the transcriptomic data between an alkaline-tolerant (WD20342) and an alkaline-sensitive (Caidao) rice cultivar were compared under alkaline stress conditions. A total of 962 important alkali-responsive (IAR) genes from highly differentially expressed genes (DEGs) were identified, including 28 alkaline-resistant cultivar-related genes, 771 alkaline-sensitive cultivar-related genes and 163 cultivar-non-specific genes. Gene ontology (GO) analysis indicated the enrichment of IAR genes involved in various stimulus or stress responses. According to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, the IAR genes were related primarily to plant hormone signal transduction and biosynthesis of secondary metabolites. Additionally, among these 962 IAR genes, 74 were transcription factors and 15 occurred with differential alternative splicing between the different samples after alkaline treatment. Our results provide a valuable resource on alkali-responsive genes and should benefit the improvement of alkaline stress tolerance in rice.
Molecular Breeding | 2015
Hongliang Zheng; Jingguo Wang; Hongwei Zhao; Hualong Liu; Jian Sun; Liying Guo; Detang Zou
Plant Breeding | 2015
Liying Guo; Wei Guo; Hongwei Zhao; Jingguo Wang; Hualong Liu; Jian Sun; Hongliang Zheng; Hanjing Sha; Detang Zou
Australasian Plant Pathology | 2016
Liying Guo; Hongwei Zhao; Jingguo Wang; Hualong Liu; Hongliang Zheng; Jian Sun; Luomiao Yang; Hanjing Sha; Detang Zou
Plant Breeding | 2017
Ning Li; Jian Sun; Jingguo Wang; Hualong Liu; Hongliang Zheng; Luomiao Yang; Yingpei Liang; Xianwei Li; Detang Zou
Molecular Breeding | 2017
Wentao Zhang; Jian Sun; Guangxin Zhao; Jingguo Wang; Hualong Liu; Hongliang Zheng; Hongwei Zhao; Detang Zou
Crop Science | 2017
Jingguo Wang; Shuang Gang; Liang Yang; Hongliang Zheng; Jian Sun; Hualong Liu; Hongwei Zhao; Detang Zou