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| 1 | Natural variations in grain length 10(GL10)regulate rice grain size显示文摘Grain size is an important determinant of grain weight and yield in rice.Although several genes related to grain size have been identified,natural variations in these genes that affect grain size are poorly characterized.Here,we describe the grain length QTL GL10,encoding MADS56,which positively regulates grain length and grain weight.A natural allelic variation of NIL-gl10,containing an~1.0-kb deletion in the first exon that abolishes its transcription,results in shorter grain length,lower grain weight and delayed flowering in gl10 plants.The knockout of GL10 in the HJX74 background leads to grain phenotypes similar to that of NIL-gl10,while overexpression of GL10 results in increased grain length and weight and earlier heading date.GL10 regulates grain length by promoting greater longitudinal cell growth in the grain glume.Additionally,GL10 participates in the regulation of gibberellic acid(GA)signaling pathway genes in young panicle tissues.Analysis of GL10 haplotypes shows obvious divergence between the japonica and indica lineages.Our findings reveal an allelic variation of GL10 that may explain differences in grain length among modern cultivars and could be used to breed rice varieties with optimized grain shape. | Penglin Zhan Shuaipeng Ma Zhili Xiao Fangping Li Xin Wei Shaojun Lin Xiaoling Wang Zhe Ji Yu Fu Jiahao Pan Mi Zhou Yue Liu Zengyuan Chang Lu Li Suhong Bu Zupei Liu Haitao Zhu Guifu Liu Guiquan Zhang Shaokui Wang | 2022 | Journal of Genetics and Genomics2022，49，5： | 3 |
| 2 | GL9 from Oryza glumaepatula controls grain size and chalkiness in rice显示文摘Grain size is a key factor influencing grain yield and appearance quality in rice.We identified twelve quantitative trait loci(QTL)for grain length(GL),nine for grain width(GW),and nine for 1000-kernel weight(TKW)using GLU-SSSLs,which are single-segment substitution lines with Oryza glumaepatula as donor parent and Huajingxian 74(HJX74)as recipient parent.Among the QTL,qGL1-2,qGL1-4,qGL9-2,qGW2-2,qGW9-1 and qTKW9-2 contributed to high grain yield.GL9 was identified as a candidate gene for qGL9-2 by map-based cloning and sequencing,and is a novel allele of GS9.The kernel of NIL-gl9was slenderer and longer than that of HJX74,and the TKW and grain yield per plant of NIL-gl9 were higher than those of HJX74.The proportion of grain chalkiness of NIL-gl9 was much lower than that of HJX74.Thus,gl9 increased grain yield and appearance quality simultaneously.Three pyramid lines,NIL-gs3/gl9,NIL-GW7/gl9 and NIL-gw8/gl9,were developed and the kernel of each was longer than that of the corresponding recipient parent lines.The gl9 allele may be beneficial for breeding rice varieties with high grain yield and good appearance quality. | Shaojun Lin Zupei Liu Kui Zhang Weifeng Yang Penglin Zhan Quanya Tan Yajun Gou Shuaipeng Ma Xin Luan Chubing Huang Zhili Xiao Yuanyuan Liu Bihuang Zhu Ruiqing Liang Wenqi Zhou Haitao Zhu Suhong Bu Guifu Liu Guiquan Zhang Shaokui Wang | 2023 | The Crop Journal2023，11，1： | 1 |
| 3 | Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits显示文摘High-throughput estimation of phenotypic traits from UAV(unmanned aerial vehicle)images is helpful to improve the screening efficiency of breeding maize.Accurately estimating phenotyping traits of breeding maize at plot scale helps to promote gene mining for specific traits and provides a guarantee for accelerating the breeding of superior varieties.Constructing an efficient and accurate estimation model is the key to the application of UAV-based multiple sensors data. | Meiyan Shu Shuaipeng Fei Bingyu Zhang Xiaohong Yang Yan Guo Baoguo Li Yuntao Ma | 2022 | Plant Phenomics2022，4，1： | 1 |
| 4 | MAP4K inhibition as a potential therapy for amyotrophic lateral sclerosis显示文摘Amyotrophic lateral sclerosis(ALS)is a rare neurological disease,featuring gradual loss of muscle controls due to degeneration of motor neurons.Unfortunately,there is currently no cure for ALS.The available therapies only offer a limited extension of survival by several months,begging for more options of therapeutics. | Shuaipeng Ma Chun-Li Zhang | 2024 | Neural Regeneration Research2024，19，8： | 0 |
| 5 | Identification and Analysis on True or False Hybrids from Hybridization Populations of Litchi( Litchi chinensis Sonn.) Using EST-SSR Markers显示文摘In order to better distinguish true hybrids in litchi crossbreeding,F1generations of two litchi hybridized combinations namely that‘Xuehuaizi’בGuiwei’and‘Xuehuaizi’בJiaohesanyuehong’were used as materials to identify true hybrids,to construct mapping populations and to study the genetic diversities of the two populations with EST-SSR markers.The results showed that F1generations of the two hybrid populations could be identified with an identification rate of100%by the combination of four pair primers,respectively,and the 159 individual plants of the two populations were true hybrids.In addition,variations were exited in leaf morphology of the progenies of the two populations and bands of parents absented were occurred on genotype.The clustering analysis showed that 113 F1plants from the hybridized combination of‘Xuehuaizi’בGuiwei’were clustered into six categories(similarity coefficient was 0.68),and 63.72%(72 plants)of which clustered into one group with male parent.The genetic distances between 32 plants(28.3%)and their parents were far which indicated that larger variation or recombinant appeared in these plants.Forty six hybrid progenies of the combination of‘Xuehuaizi’בJiaohesanyuehong’were divided into two categories when the similarity coefficient was 0.642 and most individual plants(60.87%)showed closer genetic relationship with female parent and partial maternal genetic tendency.It is concluded that EST-SSR markers are suitable to identify true hybrids of litchi.The construction of the two F1mapping populations has established basis for further genetic linkage mapping,meanwhile,has accumulated materials for cultivar improvement of litchi. | Qingming SUN Shuaipeng MA We LIU Nonhui JIANG Jing FANG Xiaoyan YANG Xu XIANG | 2015 | Agricultural Biotechnology2015，4，2： | 0 |
| 6 | Analysis on Development Potential of Millettia Specisoa Champ Industry in Guangdong Province显示文摘In recent years,Millettia specisoa Champ has attracted extensive attention because of its high medicinal and edible value. This paper will summarize the composition and application of Millettia specisoa Champ,analyze the advantages and existing problems in developing Millettia specisoa Champ industry in Guangdong Province according to the demand for Millettia specisoa Champ and the present situation in Guangdong Province,and put forward reasonable countermeasures and suggestions. | Shuaipeng MA Jing LI Weiping LONG Shouxing WEI Xindao TAN Qianquan MA Bilan HUANG | 2014 | Asian Agricultural Research2014，6，10： | 0 |
| 7 | Memristive switching in two-dimensional BiSe crystals显示文摘In spite of the explosive rise of research on memristive switching,more improvements in tunability,versatility,and hetero-integration are required through the discovery and application of novel materials.Herein,we report resistance switching in nano-thick two-dimensional(2D)crystals of bismuth selenium(BiSe).The BiSe devices exhibit nonvolatile bipolar resistance switching,volatile switching,and electrical bistable behavior in different conditions.The different memristive behavior of BiSe devices may be related to the concentration of Bi ions in this Bi-rich structure,which directly affects the capability of filaments forming.Furthermore,the external mechanical strain is applied in modulation of multi-layer BiSe devices.The memristive BiSe devices show a large on/off ratio of~10^(4)and retention time of~104 s.The discovery of memristive switching behavior in multi-layer BiSe is attributed to the forming of Bi filaments.The resistance switching behavior in multi-layer BiSe demonstrates the potential application in the flexible memories and functional integrated devices. | Wenda Ma Junfeng Lu Shuaipeng Ge Li Zhang Fengchang Huang Naiwei Gao Peiguang Yan Caofeng Pan | 2023 | Nano Research2023，16，2： | 0 |
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