|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Bi-directional Selection in Upland Rice Leads to Its Adaptive Differentiation from Lowland Rice in Drought Resistance and Productivity显示文摘Drought resistance is required in rice breeding to address the challenge of frequent droughts . However, the evolutionary mechanism of rice drought resistance is not fully understood. We investigated the genetic differentiation between upland and lowland rice domesticated in agro-ecosystems with contrasting water-soil conditions using genome-wide SNPs. We estimated morphological differences among upland and lowland rice in drought resistance and productivity through common garden experiments. Upland rice had better drought resistance but poorer productivity. The negative correlations between traits of drought resistance and productivity are attributed to the underlying genetic trade-offs through tight linkages (e.g., DCA1 and OsCesA7) or pleiotropic effects (e.g., LAX1). The genetic trade-offs are comm on and greatly shape the evolutio n of drought resista nee in upland rice . In genomic regions associated with both productivity and drought resistance, signs of balancing selection were detected in upland rice, while signs of directional selection were detected in lowland rice, potentially contributing to their adaptive differentiation. Signs of balancing selection in upland rice resulted from bi-directional selection during its domestication in drought-prone upland agro-ecosystems.Using genome-wide association analysis, we ide ntified several valuable quantitative trait loci associated with drought resista nee, for which highly differentiated genes should be considered candidates. Bi-directional selection breaking tight linkages by accumulating recombination events would be applicable in breeding water-saving and droughtresistance rice. | Hui Xia Zhi Luo Jie Xiong Xiaosong Ma Qiaojun Lou Haibin Wei Jie Qiu Hua Yang Guolan Liu Longjiang Fan Liang Chen Lijun Luo | 2019 | Molecular Plant2019，12，2： | 16 |
| 2 | Blue revolution for food security under carbon neutrality: A case from the water-saving and drought-resistance rice显示文摘The increasing concentration of greenhouse gases(GHGs)in Earth's atmosphere leads to global warming,which further causes a series of climate changes and does great harm to both human society and natural ecosystems.Agricultural GHG emissions,mainly in theform of methane(CH4)and nitrous oxide(N2O),areasignificantsourceofGHGs,accountingfor~14%total global GHGs(Zhang et al.,2022).One major source of agricultural GHGs is CH4 emissions from rice paddies,which is responsiblefor~10%-12%ofhuman-inducedCH4emissions(van Groenigen et al.,2013)and contributes~2.40%to the enhanced global warming effect(Zhang et al.,2022).The global warming potential of GHGs emissions from rice systems is roughly four times higher than either wheat or maize(Linquist et al.,2012). | Hui Xia Xianxian Zhang Yi Liu Junguo Bi Xiaosong Ma Anning Zhang Hongyan Liu Liang Chen Sheng Zhou Huan Gao Kai Xu Haibin Wei Guolan Liu Feiming Wang Hongyang Zhao Xingxing Luo Danping Hou Qiaojun Lou Fangjun Feng Liguo Zhou Shoujun Chen Ming Yan Tianfei Li Mingshou Li LeiWang Zaochang Liu Xinqiao Yu HanweiMei Lijun Luo | 2022 | Molecular Plant2022，15，9： | 3 |
| 3 | Resistance of Barnyard Grass(Echinochloa crusglli) to Quinclorac in Double-harvest Rice Area in Hunan Province of China显示文摘[Objective]The paper was to study the resistance of barnyard grass to quinclorac in double-harvest rice area in Hunan Province of China.[Method]Using whole-plant determination method,the resistance of 36 biotypes of barnyard grass to quinclorac in double-harvest rice area in Hunan Province was studied.[Result]The biotype collected from Lijiaping Town of Shaoyang County was the most susceptible barnyard grass to quinclorac,and the EC50value was 70.253 1 g a.i./hm2,so it was recognized as the sensitive biotype.The biotypes collected from Caowei Town of Yuanjiang County(HN3 and HN4 from direct seeding rice fields)and Zhongyukou Town of Nanxian County presented very high resistance to quinclorac;the EC50values were 1 999.122 5,1 664.544 6 and 1 022.739 5 g a.i./hm2,and their resistance indexes reached 28.46,23.69 and 14.56,respectively,indicating that these three biotypes had high level of resistance to quinclorac.EC50values of about 22 biotypes were ranged from 144.837 3 to 408.289 4 g a.i./hm2,and resistance indexes were ranged from 2.06 to 5.81,indicating that these biotypes had produced resistance to quinclorac.EC50values of other 10 biotypes were ranged from 98.032 6 to 138.660 9 g a.i./hm2,and the resistance indexes were ranged from 1.40 to 1.97,indicating that the sensitivity of barnyard grass in these places was decreasing.[Conclusion]The paper provided guidance for scientific and rational use of quinclorac in paddy fields. | Ma Guolan Liu Ducai Liu Xueyuan Tang Tao Peng Yajun | 2013 | Plant Diseases and Pests2013，4，5： | 1 |
| 4 | Adaptive deep learning for head and neck cancer detection using hyperspectral imaging显示文摘It can be challenging to detect tumor margins during surgery for complete resection.The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissue adaptively for cancer detection on hyperspectral images in an animal model.Specifically,an auto-encoder network is trained based on the wavelength bands on hyperspectral images to extract the deep information to create a pixel-wise prediction of cancerous and benign pixel.According to the output hypothesis of each pixel,the misclassified pixels would be reclassified in the right prediction direction based on their adaptive weights.The auto-encoder network is again trained based on these updated pixels.The learner can adaptively improve the ability to identify the cancer and benign tissue by focusing on the misclassified pixels,and thus can improve the detection performance.The adaptive deep learning method highlighting the tumor region proved to be accurate in detecting the tumor boundary on hyperspectral images and achieved a sensitivity of 92.32%and a specificity of 91.31%in our animal experiments.This adaptive learning method on hyperspectral imaging has the potential to provide a noninvasive tool for tumor detection,especially,for the tumor whose margin is indistinct and irregular. | Ling Ma Guolan Lu Dongsheng Wang Xulei Qin Zhuo Georgia Chen Baowei Fei | 2019 | Visual Computing for Industry,Biomedicine,and Art2019，2，1： | 0 |
| 5 | Direct evidence of CRISPR-Cas9-mediated mitochondrial genome editing显示文摘Pathogenic mitochondrial DNA(mtDNA)mutations can cause a variety of human diseases.The recent development of genome-editing technologies to manipulate mtDNA,such as mitochondria-targeted DNA nucleases and base editors,offer a promising way for curing mitochondrial diseases caused by mtDNA mutations.The CRISPR-Cas9 system is a widely used tool for genome editing;however,its application in mtDNA editing is still under debate.In this study,we developed a mito-Cas9 system by adding the mitochondria-targeted sequences and 30 untranslated region of nuclear-encoded mitochondrial genes upstream and downstream of the Cas9 gene,respectively. | Rui Bi Yu Li Min Xu Quanzhen Zheng Deng-Feng Zhang Xiao Li Guolan Ma Bolin Xiang Xiaojia Zhu Hui Zhao Xingxu Huang Ping Zheng Yong-Gang Yao | 2022 | The Innovation2022，3，6： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员