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| 1 | Genetic analysis and fine mapping of the pubescence gene GL6 in rice (Oryza sativa L.)显示文摘The pubescence of the leaf blade surface is an important agronomic characteristic for rice morphology and significantly influences rice growth as well as physiological characteristics. This characteristic was analyzed in F1 and F2 plants derived by crossing cultivar 75-1-127 with the indica cultivar Minghui 63, as well as the glabrous cultivar Lemont and indica cultivar 9311. Results indicated that the pubescence of the leaf blade surface was a dominant trait and controlled by a single gene. The GL6 gene was primarily mapped on rice chromosome 6 with recessive F2 population derived from 75-1-127/Minghui 63 by combining bulked segregation analysis and recessive class analysis using the Mapmaker3.0/MapDraw software. The genetic distances between the simple sequence repeat markers RM20491 and RM20547 were 7.2 and 2.2 cM, respectively. The GL6 gene was fine mapped in the interval between InDel-106 and InDel-115 at genetic distances of 0.3 and 0.1 cM, respectively. The large, recessive F2 population was derived from 75-1-127/Minghui 63. A high-resolution genetic and physical map of GL6 was constructed. Derived from the map-based sequences published by the International Rice Genome Sequencing Project, the GL6 gene was localized at an interval of 79 (japonica) and 116.82 kb (9311) bracketed by InDel-106 and InDel-115 within the BAC accession numbers AP008403 and AP005760. Seven annotated genes (japonica) and eight annotated genes (9311) were present. The basis was further set for GL6 cloning and function analysis. | ZENG YueHui ZHU YongSheng LIAN Ling XIE HongGuang ZHANG JianFu XIE HuaAn | 2013 | Chinese Science Bulletin2013，58，24： | 6 |
| 2 | From Green Super Rice to green agriculture:Reaping the promise of functional genomics research显示文摘Producing sufficient food with finite resources to feed the growing global population while having a smaller impact on the environment has always been a great challenge.Here,we review the concept and practices of Green Super Rice(GSR)that have led to a paradigm shift in goals for crop genetic improvement and models of food production for promoting sustainable agriculture.The momentous achievements and global deliveries of GSR have been fueled by the integration of abundant genetic resources,functional gene discoveries,and innovative breeding techniques with precise gene and whole-genome selection and efficient agronomic management to promote resource-saving,environmentally friendly crop production systems.We also provide perspectives on new horizons in genomic breeding technologies geared toward delivering green and nutritious crop varieties to further enhance the development of green agricul-ture and better nourish the world population. | Sibin Yu Jauhar Ali Shaochuan Zhou Guangjun Ren Huaan Xie Jianlong Xu Xinqiao Yu Fasong Zhou Shaobing Peng Liangyong Ma Dingyang Yuan Zefu Li Dazhou Chen Ruifeng Zheng Zhigang Zhao Chengcai Chu Aiqing You Yu Wei Susong Zhu Qiongyao Gu Guangcun He Shigui Li Guifu Liu Changhua Liu Chaopu Zhang Jinghua Xiao Lijun Luo Zhikang Li Qifa Zhang | 2022 | Molecular Plant2022，15，1： | 6 |
| 3 | Proteomic analysis of blast-resistant near-isogenic lines derived from japonica rice, var. Yunyin, infected with Magnaporthe oryzae显示文摘Rice blast is one of the most devastating diseases in the world and outbreaks occur frequently.The differences in protein expression between blast resistant and susceptible near-isogenic lines(NILs)of japonica rice var.Yunyin infected with Magnaporthe oryzae were analyzed using proteomics,indicated that 67 different proteins were identified from 75 obtained proteins using the matrixassisted laser desorption/ionization time-of-flight mass spectrometry technique.Seven specific expression proteins,43 up-regulated proteins and 17 down-regulated proteins were identified among the 67 proteins.The bioinformatical analysis demonstrated that these 67 different proteins were involved in many biological physiological processes including five proteins related to photosynthesis,25 proteins related to metabolism,six proteins related to antioxidants,10 proteins related to protein synthesis and modification,five proteins related to signal transduction,four proteins related to adversity stress and 12 non-functional proteins.These identified proteins were directly or indirectly related to stress.Five proteins related to different physiological processes were selected.Their cDNA sequences were predicted and their expression patterns were analyzed using real-time PCR,demonstrated that the genes would response to M.oryzae and the response blindingly different between blast resistant and blast susceptible NILs. | Weimin Xue Xiaohui Mao Yidong Wei Lian Ling Yongsheng Zhu Shuilin He Jianfu Zhang Huaan Xie | 2014 | Chinese Science Bulletin2014，59，32： | 2 |
| 4 | Gradual daylength sensing coupled with optimum cropping modes enhances multi-latitude adaptation of rice and maize显示文摘To expand crop planting areas,reestablishment of crop latitude adaptation based on genetic variation in photoperiodic genes can be performed,but it is quite time consuming.By contrast,a crop variety that already exhibits multi-latitude adaptation has the potential to increase its planting areas to be more widely and quickly available.However,the importance and potential of multi-latitude adaptation of crop varieties have not been systematically described.Here,combining daylength-sensing data with the cropping system of elite rice and maize varieties,we found that varieties with gradual daylength sensing coupled with optimum cropping modes have an enhanced capacity for multi-latitude adaptation in China.Furthermore,this multi-latitude adaptation expanded their planting areas and indirectly improved China’s nationwide rice and maize unit yield.Thus,coupling the daylength-sensing process with optimum cropping modes to enhance latitude adaptability of excellent varieties represents an exciting approach for deploying crop varieties with the potential to expand their planting areas and quickly improve nationwide crop unit yield in developing countries. | Xiaoying Wang Jiupan Han Rui Li Leilei Qiu Cheng Zhang Ming Lu Rongyu Huang Xiangfeng Wang Jianfu Zhang Huaan Xie Shigui Li Xi Huang Xinhao Ouyang | 2023 | Plant Communications2023，4，1： | 1 |
| 5 | SH3P2,an SH3 domain-containing protein that interacts with both Pib and AvrPib,suppresses effector-triggered,Pib-mediated immunity in rice显示文摘Plants usually keep resistance(R)proteins in a static state under normal conditions to avoid autoimmunity and save energy for growth,but R proteins can be rapidly activated upon perceiving pathogen invasion.Pib,the first cloned blast disease R gene in rice,encoding a nucleotide-binding leucine-rich repeat(NLR)protein,mediates resistance to the blast fungal(Magnaporthe oryzae)isolates carrying the avirulence gene AvrPib.However,the molecular mechanisms about how Pib recognizes AvrPib and how it is inactivated and activated remain largely unclear.In this study,through map-based cloning and CRISPR-Cas9 gene editing,we proved that Pib contributes to the blast disease resistance of rice cultivar Yunyin(YY).Furthermore,an SH3 domain-containing protein,SH3P2,was found to associate with Pib mainly at clathrin-coated vesicles in rice cells,via direct binding with the coiled-coil(CC)domain of Pib.Interestingly,overexpression of SH3P2 in YY compromised Pib-mediated resistance to M.oryzae isolates carrying AvrPib and Pib-AvrPib recognition-induced cell death.SH3P2 competitively inhibits the self-association of the Pib CC domain in vitro,suggesting that binding of SH3P2 with Pib undermines its homodimerization.Moreover,SH3P2 can also interact with AvrPib and displays higher affinity to AvrPib than to Pib,which leads to dissociation of SH3P2 from Pib in the presence of AvrPib.Taken together,our results suggest that SH3P2 functions as a“protector”to keep Pib in a static state by direct interaction during normal growth but could be triggered off by the invasion of AvrPib-carrying M.oryzae isolates.Our study reveals a new mechanism about how an NLR protein is inactivated under normal conditions but is activated upon pathogen infection. | Yunjie Xie Yupeng Wang Xiangzhen Yu Yuelong Lin Yongsheng Zhu Jinwen Chen Hongguang Xie Qingqing Zhang Lanning Wang Yidong Wei Yanjia Xiao Qiuhua Cai Yanmei Zheng Mo Wang Huaan Xie Jianfu Zhang | 2022 | Molecular Plant2022，15，12： | 1 |
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