The Taigu fault zone is one of the major 12 active boundary faults of the Shanxi fault-depression system, located on the eastern boundary of the Jinzhong basin. As the latest investigation indicated, the fault zone ha...The Taigu fault zone is one of the major 12 active boundary faults of the Shanxi fault-depression system, located on the eastern boundary of the Jinzhong basin. As the latest investigation indicated, the fault zone had dislocated gully terrace of the first order, forming fault-scarp in front of the loess mesa. It has been discovered in many places in ground surface and trenches that Holocene deposits were dislocated. The latest activity was the 1303 Hongdong earthquake M=8, the fault appeared as right-lateral strike-slip with normal faulting. During that earthquake, the Taigu fault together with the Mianshan western-side fault on the Lingshi upheaval and the Huoshan pediment fault on the eastern boundary of the Linfen basin was being active, forming a surface rupture belt of 160 km in length. Moreover, the Taigu fault were active in the mid-stage of Holocene and near 7 700 aB.P. From these we learnt that, in Shanxi fault-depression system, the run-through activity of two boundary faults of depression-basins might generate great earthquake with M=8.展开更多
A comprehensive study on regional stress field around the Taigu fault zone in Shanxi Province, China, was performed in this study. To get a better understanding of the present-day stress status in this area, 31 focal ...A comprehensive study on regional stress field around the Taigu fault zone in Shanxi Province, China, was performed in this study. To get a better understanding of the present-day stress status in this area, 31 focal mecha- nisms of ML 〉3 earthquakes since 1965 were compiled, and the best stress tensor was then inverted based on the database. Additionally, magnetic fabrics along the Taigu fault zone were investigated to get an indication of the regional stress field in the past. Our results show that the present-day stress field around the Taigu fault zone is characterized by astable NW-SE extension with a strike- slip component, consistent with the geological surveys and recent GPS data. Results from magnetic fabrics indicate that the orientations of principal stress axes from magnetic fabrics of sedimentary rocks in Neogene coincide to the orientations of principal stress axes from focal mecha- nisms. The south segment of the Taigu fault displays more complicated magnetic fabrics and more activity of mod- erate earthquakes. It is connected with the Mianshan west fault and intersects with NW-SE striking Fenyang fault and the north fault of the Lingshi uplift at the south edge of Taiyuan basin. This may be the area needing more atten- tion in terms of seismic risk along the Taigu fault.展开更多
Talgu Genlc Male Sterile Wheat （TGMSW; Trltlcum aestlvum L.）, a dominant genic male sterile germplasm, is of considerable value in the genetic Improvement of wheat because of Its stable Inherence, complete male abor...Talgu Genlc Male Sterile Wheat （TGMSW; Trltlcum aestlvum L.）, a dominant genic male sterile germplasm, is of considerable value in the genetic Improvement of wheat because of Its stable Inherence, complete male abortion, and high cross-fertilization rate. To Identify specially transcribed genes In sterile anther, a suppression subtractlve hybridization （aSH） library was constructed with sterile anther as the tester and fertile anther as the driver. A total of 2 304 SSH Inserts amplified by polymerase chain reaction were arrayed using robotic printing. The cDNA arrays were hybridized with 32P-labeled probes prepared from the RNA of forward- and reverse-subtracted anthers. Ninety-six clones were scored as upregulated in sterile anthers compared with the corresponding fertile anthers and some clones were selected for sequencing and analysis In GenBank. Based on their putative functions, 87 non-redundant clones were classified Into the following groups： （i） eight genes Involved In metabolic processes; （11） four material transportation genes; （iii） three signal transductlon-assoclated genes; （iv） four stress response and senescence-associated protein genes; （v） seven other functional protein genes; （vi） five genes with no known function; and （vii） another 56 genes with no match to the databases. To test the hybridization efficiency, eight genes were selected and analyzed by Northern blot. The results of the present study provide a comprehensive overview of the genes and gene products Involved In anther abortion In TGMSW.展开更多
本研究旨在利用代谢组学筛选出太古山药和铁棍山药之间的差异代谢物,并通过LASSO回归机器学习方法确定作为预测不同山药品种的差异标志物。研究采用超高效液相色谱-四级杆飞行时间串联质谱(ultraperformance liquid chromatography-quad...本研究旨在利用代谢组学筛选出太古山药和铁棍山药之间的差异代谢物,并通过LASSO回归机器学习方法确定作为预测不同山药品种的差异标志物。研究采用超高效液相色谱-四级杆飞行时间串联质谱(ultraperformance liquid chromatography-quadrupole time of flight tandem mass spectrometry,UPLC-Q-TOF-MS/MS)分析两种山药中的代谢物,通过主成分分析(principal component analysis,PCA)和正交偏最小二乘判别分析(orthogonal partial least squares-discriminant analysis,OPLS-DA)识别出两种山药中的差异代谢物,利用最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)回归方法筛选出差异性标志物,建立用于品种鉴别的预测模型。结果显示,在两种山药中共鉴别出206种代谢物,PCA分析发现太谷山药和铁棍山药之间区分明显,OPLS-DA进一步筛选出56种存在显著性差异的代谢物。基于这些差异代谢物进行LASSO回归分析,得到ophiogenin 3-O-beta-L-rhamnopyranosyl-beta-D-glucopyranoside、天冬氨酸、表儿茶素没食子酸酯、夏佛塔苷以及没食子儿茶素5种关键差异标志物,建立了用于太谷山药和铁棍山药品种鉴别的LASSO回归预测模型。本研究基于代谢组学和LASSO回归机器学习方法,识别出太谷山药和铁棍山药的差异标志物,构建了不同品种山药的预测模型,为山药的鉴别提供了新的思路。展开更多
基金Chinese Joint Seismological Science Foundation (201017).
文摘The Taigu fault zone is one of the major 12 active boundary faults of the Shanxi fault-depression system, located on the eastern boundary of the Jinzhong basin. As the latest investigation indicated, the fault zone had dislocated gully terrace of the first order, forming fault-scarp in front of the loess mesa. It has been discovered in many places in ground surface and trenches that Holocene deposits were dislocated. The latest activity was the 1303 Hongdong earthquake M=8, the fault appeared as right-lateral strike-slip with normal faulting. During that earthquake, the Taigu fault together with the Mianshan western-side fault on the Lingshi upheaval and the Huoshan pediment fault on the eastern boundary of the Linfen basin was being active, forming a surface rupture belt of 160 km in length. Moreover, the Taigu fault were active in the mid-stage of Holocene and near 7 700 aB.P. From these we learnt that, in Shanxi fault-depression system, the run-through activity of two boundary faults of depression-basins might generate great earthquake with M=8.
基金partly funded by Open Fund of State Key Laboratory of Earthquake Dynamics,CEA(LED2011B05)the Foundation for the Returned Overseas of Shanxi Province(121)the National Science Fund of Shanxi Province(Youth,2010021005)
文摘A comprehensive study on regional stress field around the Taigu fault zone in Shanxi Province, China, was performed in this study. To get a better understanding of the present-day stress status in this area, 31 focal mecha- nisms of ML 〉3 earthquakes since 1965 were compiled, and the best stress tensor was then inverted based on the database. Additionally, magnetic fabrics along the Taigu fault zone were investigated to get an indication of the regional stress field in the past. Our results show that the present-day stress field around the Taigu fault zone is characterized by astable NW-SE extension with a strike- slip component, consistent with the geological surveys and recent GPS data. Results from magnetic fabrics indicate that the orientations of principal stress axes from magnetic fabrics of sedimentary rocks in Neogene coincide to the orientations of principal stress axes from focal mecha- nisms. The south segment of the Taigu fault displays more complicated magnetic fabrics and more activity of mod- erate earthquakes. It is connected with the Mianshan west fault and intersects with NW-SE striking Fenyang fault and the north fault of the Lingshi uplift at the south edge of Taiyuan basin. This may be the area needing more atten- tion in terms of seismic risk along the Taigu fault.
文摘Talgu Genlc Male Sterile Wheat （TGMSW; Trltlcum aestlvum L.）, a dominant genic male sterile germplasm, is of considerable value in the genetic Improvement of wheat because of Its stable Inherence, complete male abortion, and high cross-fertilization rate. To Identify specially transcribed genes In sterile anther, a suppression subtractlve hybridization （aSH） library was constructed with sterile anther as the tester and fertile anther as the driver. A total of 2 304 SSH Inserts amplified by polymerase chain reaction were arrayed using robotic printing. The cDNA arrays were hybridized with 32P-labeled probes prepared from the RNA of forward- and reverse-subtracted anthers. Ninety-six clones were scored as upregulated in sterile anthers compared with the corresponding fertile anthers and some clones were selected for sequencing and analysis In GenBank. Based on their putative functions, 87 non-redundant clones were classified Into the following groups： （i） eight genes Involved In metabolic processes; （11） four material transportation genes; （iii） three signal transductlon-assoclated genes; （iv） four stress response and senescence-associated protein genes; （v） seven other functional protein genes; （vi） five genes with no known function; and （vii） another 56 genes with no match to the databases. To test the hybridization efficiency, eight genes were selected and analyzed by Northern blot. The results of the present study provide a comprehensive overview of the genes and gene products Involved In anther abortion In TGMSW.
文摘本研究旨在利用代谢组学筛选出太古山药和铁棍山药之间的差异代谢物,并通过LASSO回归机器学习方法确定作为预测不同山药品种的差异标志物。研究采用超高效液相色谱-四级杆飞行时间串联质谱(ultraperformance liquid chromatography-quadrupole time of flight tandem mass spectrometry,UPLC-Q-TOF-MS/MS)分析两种山药中的代谢物,通过主成分分析(principal component analysis,PCA)和正交偏最小二乘判别分析(orthogonal partial least squares-discriminant analysis,OPLS-DA)识别出两种山药中的差异代谢物,利用最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)回归方法筛选出差异性标志物,建立用于品种鉴别的预测模型。结果显示,在两种山药中共鉴别出206种代谢物,PCA分析发现太谷山药和铁棍山药之间区分明显,OPLS-DA进一步筛选出56种存在显著性差异的代谢物。基于这些差异代谢物进行LASSO回归分析,得到ophiogenin 3-O-beta-L-rhamnopyranosyl-beta-D-glucopyranoside、天冬氨酸、表儿茶素没食子酸酯、夏佛塔苷以及没食子儿茶素5种关键差异标志物,建立了用于太谷山药和铁棍山药品种鉴别的LASSO回归预测模型。本研究基于代谢组学和LASSO回归机器学习方法,识别出太谷山药和铁棍山药的差异标志物,构建了不同品种山药的预测模型,为山药的鉴别提供了新的思路。
