376 Genome Informatics 14 376–377 (2003) Graph Complexity of Chemical Compounds in Biologi

水稻基因组序列的生物信息学分析水稻是全球最重要的粮食作物之一，为了更好地理解水稻的基因组和基因功能，水稻基因组序列的生物信息学分析在近年来成为了研究的热点。

同时，水稻的基因组序列数据也为水稻育种和改良提供了更广泛的基础。

水稻基因组序列数据源对于生物信息学分析而言，首先需要收集数据。

水稻基因组序列的数据可以来源于GenBank、Ensembl Plants、Gramene等数据库，这些数据库中收录的水稻基因组数据具有较高的准确性和可靠性。

基因组注释基因组注释是指将序列上的信息以可识别的形式进行描述和标注，其中包括基因定位、基因结构、启动子区域、编码序列和非编码序列等。

水稻基因组注释早已有较为完善的结果，并且此外，大量的转录组数据也为基因功能识别和分析提供了更多的信息。

目前，水稻是全球拥有最齐全和全面的基因组注释和基因功能信息的农作物之一。

基因家族分析基因家族是指具有相似序列和保守功能的基因集合。

水稻基因组中大量的基因家族的分析对于理解水稻基因功能及其演化，以及水稻与其他物种基因组之间的关系具有关键作用。

例如NBS-LRR家族被广泛研究并被归属于水稻抗病基因家族之一。

基因家族的分析可以为水稻品种改良提供指导，从而增加其抗病性和生产力。

微卫星和SNP分析微卫星和单核苷酸多态性（SNP）是常见的分子标记方式，它们被普遍用于物种分类、进化和基因定位。

其中，微卫星序列在水稻中比较常见，并作为生物的DNA指纹来应用。

同时，SNP可以对现代育种和种质资源管理提供帮助。

微卫星和SNP分析可以用于水稻种质资源的变异程度评估和亲缘关系分析。

差异表达基因分析差异表达基因（DEGs）是指在不同生物学状态下，在两个或多个组织或物种中表达量不同的基因。

对于水稻而言，如未受到逆境处理的基因表达模式与受到逆境处理后的差异表达模式将会不同。

由于DEGs分析有助于识别水稻中与逆境响应相关的基因，因此可作为提高水稻逆境抗力的重要依据。

Agricultural Sciences in China2010, 9(9): 1251-1262September 2010Received 30 October, 2009 Accepted 16 April, 2010Analysis of Genetic Diversity and Population Structure of Maize Landraces from the South Maize Region of ChinaLIU Zhi-zhai 1, 2, GUO Rong-hua 2, 3, ZHAO Jiu-ran 4, CAI Yi-lin 1, W ANG Feng-ge 4, CAO Mo-ju 3, W ANG Rong-huan 2, 4, SHI Yun-su 2, SONG Yan-chun 2, WANG Tian-yu 2 and LI Y u 21Maize Research Institute, Southwest University, Chongqing 400716, P.R.China2Institue of Crop Sciences/National Key Facility for Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences,Beijing 100081, P.R.China3Maize Research Institute, Sichuan Agricultural University, Ya’an 625014, P.R.China4Maize Research Center, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100089, P.R.ChinaAbstractUnderstanding genetic diversity and population structure of landraces is important in utilization of these germplasm in breeding programs. In the present study, a total of 143 core maize landraces from the South Maize Region (SR) of China,which can represent the general profile of the genetic diversity in the landraces germplasm of SR, were genotyped by 54DNA microsatellite markers. Totally, 517 alleles (ranging from 4 to 22) were detected among these landraces, with an average of 9.57 alleles per locus. The total gene diversity of these core landraces was 0.61, suggesting a rather higher level of genetic diversity. Analysis of population structure based on Bayesian method obtained the samilar result as the phylogeny neighbor-joining (NJ) method. The results indicated that the whole set of 143 core landraces could be clustered into two distinct groups. All landraces from Guangdong, Hainan, and 15 landraces from Jiangxi were clustered into group 1, while those from the other regions of SR formed the group 2. The results from the analysis of genetic diversity showed that both of groups possessed a similar gene diversity, but group 1 possessed relatively lower mean alleles per locus (6.63) and distinct alleles (91) than group 2 (7.94 and 110, respectively). The relatively high richness of total alleles and distinct alleles preserved in the core landraces from SR suggested that all these germplasm could be useful resources in germplasm enhancement and maize breeding in China.Key words :maize, core landraces, genetic diversity, population structureINTRODUCTIONMaize has been grown in China for nearly 500 years since its first introduction into this second biggest pro-duction country in the world. Currently, there are six different maize growing regions throughout the coun-try according to the ecological conditions and farming systems, including three major production regions,i.e., the North Spring Maize Region, the Huang-Huai-Hai Summer Maize Region, and the Southwest MaizeRegion, and three minor regions, i.e., the South Maize Region, the Northwest Maize Region, and the Qingzang Plateau Maize Region. The South Maize Region (SR)is specific because of its importance in origin of Chi-nese maize. It is hypothesized that Chinese maize is introduced mainly from two routes. One is called the land way in which maize was first brought to Tibet from India, then to Sichuan Province in southwestern China. The other way is that maize dispersed via the oceans, first shipped to the coastal areas of southeast China by boats, and then spread all round the country1252LIU Zhi-zhai et al.(Xu 2001; Zhou 2000). SR contains all of the coastal provinces and regions lie in southeastern China.In the long-term cultivation history of maize in south-ern China, numerous landraces have been formed, in which a great amount of genetic variation was observed (Li 1998). Similar to the hybrid swapping in Europe (Reif et al. 2005a), the maize landraces have been al-most replaced by hybrids since the 1950s in China (Li 1998). However, some landraces with good adapta-tions and yield performances are still grown in a few mountainous areas of this region (Liu et al.1999). Through a great effort of collection since the 1950s, 13521 accessions of maize landraces have been cur-rently preserved in China National Genebank (CNG), and a core collection of these landraces was established (Li et al. 2004). In this core collection, a total of 143 maize landrace accessions were collected from the South Maize Region (SR) (Table 1).Since simple sequence repeat ( SSR ) markers were firstly used in human genetics (Litt and Luty 1989), it now has become one of the most widely used markers in the related researches in crops (Melchinger et al. 1998; Enoki et al. 2005), especially in the molecular characterization of genetic resources, e.g., soybean [Glycine max (L.) Merr] (Xie et al. 2005), rice (Orya sativa L.) (Garris et al. 2005), and wheat (Triticum aestivum) (Chao et al. 2007). In maize (Zea mays L.), numerous studies focusing on the genetic diversity and population structure of landraces and inbred lines in many countries and regions worldwide have been pub-lished (Liu et al. 2003; Vegouroux et al. 2005; Reif et al. 2006; Wang et al. 2008). These activities of documenting genetic diversity and population structure of maize genetic resources have facilitated the under-standing of genetic bases of maize landraces, the utili-zation of these resources, and the mining of favorable alleles from landraces. Although some studies on ge-netic diversity of Chinese maize inbred lines were con-ducted (Yu et al. 2007; Wang et al. 2008), the general profile of genetic diversity in Chinese maize landraces is scarce. Especially, there are not any reports on ge-netic diversity of the maize landraces collected from SR, a possibly earliest maize growing area in China. In this paper, a total of 143 landraces from SR listed in the core collection of CNG were genotyped by using SSR markers, with the aim of revealing genetic diver-sity of the landraces from SR (Table 2) of China and examining genetic relationships and population struc-ture of these landraces.MATERIALS AND METHODSPlant materials and DNA extractionTotally, 143 landraces from SR which are listed in the core collection of CNG established by sequential strati-fication method (Liu et al. 2004) were used in the present study. Detailed information of all these landrace accessions is listed in Table 1. For each landrace, DNA sample was extracted by a CTAB method (Saghi-Maroof et al. 1984) from a bulk pool constructed by an equal-amount of leaves materials sampled from 15 random-chosen plants of each landrace according to the proce-dure of Reif et al. (2005b).SSR genotypingA total of 54 simple sequence repeat (SSR) markers covering the entire maize genome were screened to fin-gerprint all of the 143 core landrace accessions (Table 3). 5´ end of the left primer of each locus was tailed by an M13 sequence of 5´-CACGACGTTGTAAAACGAC-3´. PCR amplification was performed in a 15 L reac-tion containing 80 ng of template DNA, 7.5 mmol L-1 of each of the four dNTPs, 1×Taq polymerase buffer, 1.5 mmol L-1 MgCl2, 1 U Taq polymerase (Tiangen Biotech Co. Ltd., Beijing, China), 1.2 mol L-1 of forward primer and universal fluorescent labeled M13 primer, and 0.3 mol L-1 of M13 sequence tailed reverse primer (Schuelke 2000). The amplification was carried out in a 96-well DNA thermal cycler (GeneAmp PCR System 9700, Applied Biosystem, USA). PCR products were size-separated on an ABI Prism 3730XL DNA sequencer (HitachiHigh-Technologies Corporation, Tokyo, Japan) via the software packages of GENEMAPPER and GeneMarker ver. 6 (SoftGenetics, USA).Data analysesAverage number of alleles per locus and average num-ber of group-specific alleles per locus were identifiedAnalysis of Genetic Diversity and Population Structure of Maize Landraces from the South Maize Region of China 1253Table 1 The detailed information about the landraces used in the present studyPGS revealed by Structure1) NJ dendragram revealed Group 1 Group 2 by phylogenetic analysis140-150tian 00120005AnH-06Jingde Anhui 0.0060.994Group 2170tian00120006AnH-07Jingde Anhui 0.0050.995Group 2Zixihuangyumi00120007AnH-08Zixi Anhui 0.0020.998Group 2Zixibaihuangzayumi 00120008AnH-09Zixi Anhui 0.0030.997Group 2Baiyulu 00120020AnH-10Yuexi Anhui 0.0060.994Group 2Wuhuazi 00120021AnH-11Yuexi Anhui 0.0030.997Group 2Tongbai 00120035AnH-12Tongling Anhui 0.0060.994Group 2Yangyulu 00120036AnH-13Yuexi Anhui 0.0040.996Group 2Huangli 00120037AnH-14Tunxi Anhui 0.0410.959Group 2Baiyumi 00120038AnH-15Tunxi Anhui 0.0030.997Group 2Dapigu00120039AnH-16Tunxi Anhui 0.0350.965Group 2150tianbaiyumi 00120040AnH-17Xiuning Anhui 0.0020.998Group 2Xiuning60tian 00120042AnH-18Xiuning Anhui 0.0040.996Group 2Wubaogu 00120044AnH-19ShitaiAnhui 0.0020.998Group 2Kuyumi00130001FuJ-01Shanghang Fujian 0.0050.995Group 2Zhongdouyumi 00130003FuJ-02Shanghang Fujian 0.0380.962Group 2Baixinyumi 00130004FuJ-03Liancheng Fujian 0.0040.996Group 2Hongxinyumi 00130005FuJ-04Liancheng Fujian 0.0340.966Group 2Baibaogu 00130008FuJ-05Changding Fujian 0.0030.997Group 2Huangyumi 00130011FuJ-06Jiangyang Fujian 0.0020.998Group 2Huabaomi 00130013FuJ-07Shaowu Fujian 0.0020.998Group 2Huangbaomi 00130014FuJ-08Songxi Fujian 0.0020.998Group 2Huangyumi 00130016FuJ-09Wuyishan Fujian 0.0460.954Group 2Huabaogu 00130019FuJ-10Jian’ou Fujian 0.0060.994Group 2Huangyumi 00130024FuJ-11Guangze Fujian 0.0010.999Group 2Huayumi 00130025FuJ-12Nanping Fujian 0.0040.996Group 2Huangyumi 00130026FuJ-13Nanping Fujian 0.0110.989Group 2Hongbaosu 00130027FuJ-14Longyan Fujian 0.0160.984Group 2Huangfansu 00130029FuJ-15Loangyan Fujian 0.0020.998Group 2Huangbaosu 00130031FuJ-16Zhangping Fujian 0.0060.994Group 2Huangfansu 00130033FuJ-17Zhangping Fujian0.0040.996Group 2Baolieyumi 00190001GuangD-01Guangzhou Guangdong 0.9890.011Group 1Nuomibao (I)00190005GuangD-02Shixing Guangdong 0.9740.026Group 1Nuomibao (II)00190006GuangD-03Shixing Guangdong 0.9790.021Group 1Zasehuabao 00190010GuangD-04Lechang Guangdong 0.9970.003Group 1Zihongmi 00190013GuangD-05Lechang Guangdong 0.9880.012Group 1Jiufengyumi 00190015GuangD-06Lechang Guangdong 0.9950.005Group 1Huangbaosu 00190029GuangD-07MeiGuangdong 0.9970.003Group 1Bailibao 00190032GuangD-08Xingning Guangdong 0.9980.002Group 1Nuobao00190038GuangD-09Xingning Guangdong 0.9980.002Group 1Jinlanghuang 00190048GuangD-10Jiangcheng Guangdong 0.9960.004Group 1Baimizhenzhusu 00190050GuangD-11Yangdong Guangdong 0.9940.006Group 1Huangmizhenzhusu 00190052GuangD-12Yangdong Guangdong 0.9930.007Group 1Baizhenzhu 00190061GuangD-13Yangdong Guangdong 0.9970.003Group 1Baiyumi 00190066GuangD-14Wuchuan Guangdong 0.9880.012Group 1Bendibai 00190067GuangD-15Suixi Guangdong 0.9980.002Group 1Shigubaisu 00190068GuangD-16Gaozhou Guangdong 0.9960.004Group 1Zhenzhusu 00190069GuangD-17Xinyi Guangdong 0.9960.004Group 1Nianyaxixinbai 00190070GuangD-18Huazhou Guangdong 0.9960.004Group 1Huangbaosu 00190074GuangD-19Xinxing Guangdong 0.9950.005Group 1Huangmisu 00190076GuangD-20Luoding Guangdong 0.940.060Group 1Huangmi’ai 00190078GuangD-21Luoding Guangdong 0.9980.002Group 1Bayuemai 00190084GuangD-22Liannan Guangdong 0.9910.009Group 1Baiyumi 00300001HaiN-01Haikou Hainan 0.9960.004Group 1Baiyumi 00300003HaiN-02Sanya Hainan 0.9970.003Group 1Hongyumi 00300004HaiN-03Sanya Hainan 0.9980.002Group 1Baiyumi00300011HaiN-04Tongshi Hainan 0.9990.001Group 1Zhenzhuyumi 00300013HaiN-05Tongshi Hainan 0.9980.002Group 1Zhenzhuyumi 00300015HaiN-06Qiongshan Hainan 0.9960.004Group 1Aiyumi 00300016HaiN-07Qiongshan Hainan 0.9960.004Group 1Huangyumi 00300021HaiN-08Qionghai Hainan 0.9970.003Group 1Y umi 00300025HaiN-09Qionghai Hainan 0.9870.013Group 1Accession name Entry code Analyzing code Origin (county/city)Province/Region1254LIU Zhi-zhai et al .Baiyumi00300032HaiN-10Tunchang Hainan 0.9960.004Group 1Huangyumi 00300051HaiN-11Baisha Hainan 0.9980.002Group 1Baihuangyumi 00300055HaiN-12BaishaHainan 0.9970.003Group 1Machihuangyumi 00300069HaiN-13Changjiang Hainan 0.9900.010Group 1Hongyumi00300073HaiN-14Dongfang Hainan 0.9980.002Group 1Xiaohonghuayumi 00300087HaiN-15Lingshui Hainan 0.9980.002Group 1Baiyumi00300095HaiN-16Qiongzhong Hainan 0.9950.005Group 1Y umi (Baimai)00300101HaiN-17Qiongzhong Hainan 0.9980.002Group 1Y umi (Xuemai)00300103HaiN-18Qiongzhong Hainan 0.9990.001Group 1Huangmaya 00100008JiangS-10Rugao Jiangsu 0.0040.996Group 2Bainian00100012JiangS-11Rugao Jiangsu 0.0080.992Group 2Bayebaiyumi 00100016JiangS-12Rudong Jiangsu 0.0040.996Group 2Chengtuohuang 00100021JiangS-13Qidong Jiangsu 0.0050.995Group 2Xuehuanuo 00100024JiangS-14Qidong Jiangsu 0.0020.998Group 2Laobaiyumi 00100032JiangS-15Qidong Jiangsu 0.0050.995Group 2Laobaiyumi 00100033JiangS-16Qidong Jiangsu 0.0010.999Group 2Huangwuye’er 00100035JiangS-17Hai’an Jiangsu 0.0030.997Group 2Xiangchuanhuang 00100047JiangS-18Nantong Jiangsu 0.0060.994Group 2Huangyingzi 00100094JiangS-19Xinghua Jiangsu 0.0040.996Group 2Xiaojinhuang 00100096JiangS-20Yangzhou Jiangsu 0.0010.999Group 2Liushizi00100106JiangS-21Dongtai Jiangsu 0.0030.997Group 2Kangnandabaizi 00100108JiangS-22Dongtai Jiangsu 0.0020.998Group 2Shanyumi 00140020JiangX-01Dexing Jiangxi 0.9970.003Group 1Y umi00140024JiangX-02Dexing Jiangxi 0.9970.003Group 1Tianhongyumi 00140027JiangX-03Yushan Jiangxi 0.9910.009Group 1Hongganshanyumi 00140028JiangX-04Yushan Jiangxi 0.9980.002Group 1Zaoshuyumi 00140032JiangX-05Qianshan Jiangxi 0.9970.003Group 1Y umi 00140034JiangX-06Wannian Jiangxi 0.9970.003Group 1Y umi 00140038JiangX-07De’an Jiangxi 0.9940.006Group 1Y umi00140045JiangX-08Wuning Jiangxi 0.9740.026Group 1Chihongyumi 00140049JiangX-09Wanzai Jiangxi 0.9920.008Group 1Y umi 00140052JiangX-10Wanzai Jiangxi 0.9930.007Group 1Huayumi 00140060JiangX-11Jing’an Jiangxi 0.9970.003Group 1Baiyumi 00140065JiangX-12Pingxiang Jiangxi 0.9940.006Group 1Huangyumi00140066JiangX-13Pingxiang Jiangxi 0.9680.032Group 1Nuobaosuhuang 00140068JiangX-14Ruijin Jiangxi 0.9950.005Group 1Huangyumi 00140072JiangX-15Xinfeng Jiangxi 0.9960.004Group 1Wuningyumi 00140002JiangX-16Jiujiang Jiangxi 0.0590.941Group 2Tianyumi 00140005JiangX-17Shangrao Jiangxi 0.0020.998Group 2Y umi 00140006JiangX-18Shangrao Jiangxi 0.0310.969Group 2Baiyiumi 00140012JiangX-19Maoyuan Jiangxi 0.0060.994Group 260riyumi 00140016JiangX-20Maoyuan Jiangxi 0.0020.998Group 2Shanyumi 00140019JiangX-21Dexing Jiangxi 0.0050.995Group 2Laorenya 00090002ShangH-01Chongming Shanghai 0.0050.995Group 2Jinmeihuang 00090004ShangH-02Chongming Shanghai 0.0020.998Group 2Zaobaiyumi 00090006ShangH-03Chongming Shanghai 0.0020.998Group 2Chengtuohuang 00090007ShangH-04Chongming Shanghai 0.0780.922Group 2Benyumi (Huang)00090008ShangH-05Shangshi Shanghai 0.0020.998Group 2Bendiyumi 00090010ShangH-06Shangshi Shanghai 0.0040.996Group 2Baigengyumi 00090011ShangH-07Jiading Shanghai 0.0020.998Group 2Huangnuoyumi 00090012ShangH-08Jiading Shanghai 0.0040.996Group 2Huangdubaiyumi 00090013ShangH-09Jiading Shanghai 0.0440.956Group 2Bainuoyumi 00090014ShangH-10Chuansha Shanghai 0.0010.999Group 2Laorenya 00090015ShangH-11Shangshi Shanghai 0.0100.990Group 2Xiaojinhuang 00090016ShangH-12Shangshi Shanghai 0.0050.995Group 2Gengbaidayumi 00090017ShangH-13Shangshi Shanghai 0.0020.998Group 2Nongmeiyihao 00090018ShangH-14Shangshi Shanghai 0.0540.946Group 2Chuanshazinuo 00090020ShangH-15Chuansha Shanghai 0.0550.945Group 2Baoanshanyumi 00110004ZheJ-01Jiangshan Zhejiang 0.0130.987Group 2Changtaixizi 00110005ZheJ-02Jiangshan Zhejiang 0.0020.998Group 2Shanyumibaizi 00110007ZheJ-03Jiangshan Zhejiang 0.0020.998Group 2Kaihuajinyinbao 00110017ZheJ-04Kaihua Zhejiang 0.0100.990Group 2Table 1 (Continued from the preceding page)PGS revealed by Structure 1) NJ dendragram revealed Group1 Group2 by phylogenetic analysisAccession name Entry code Analyzing code Origin (county/city)Province/RegoinAnalysis of Genetic Diversity and Population Structure of Maize Landraces from the South Maize Region of China 1255Liputianzi00110038ZheJ-05Jinhua Zhejiang 0.0020.998Group 2Jinhuaqiuyumi 00110040ZheJ-06Jinhua Zhejiang 0.0050.995Group 2Pujiang80ri 00110069ZheJ-07Pujiang Zhejiang 0.0210.979Group 2Dalihuang 00110076ZheJ-08Yongkang Zhejiang 0.0140.986Group 2Ziyumi00110077ZheJ-09Yongkang Zhejiang 0.0020.998Group 2Baiyanhandipinzhong 00110078ZheJ-10Yongkang Zhejiang 0.0030.997Group 2Duosuiyumi00110081ZheJ-11Wuyi Zhejiang 0.0020.998Group 2Chun’an80huang 00110084ZheJ-12Chun’an Zhejiang 0.0020.998Group 2120ribaiyumi 00110090ZheJ-13Chun’an Zhejiang 0.0020.998Group 2Lin’anliugu 00110111ZheJ-14Lin’an Zhejiang 0.0030.997Group 2Qianhuangyumi00110114ZheJ-15Lin’an Zhejiang 0.0030.997Group 2Fenshuishuitianyumi 00110118ZheJ-16Tonglu Zhejiang 0.0410.959Group 2Kuihualiugu 00110119ZheJ-17Tonglu Zhejiang 0.0030.997Group 2Danbaihuang 00110122ZheJ-18Tonglu Zhejiang 0.0020.998Group 2Hongxinma 00110124ZheJ-19Jiande Zhejiang 0.0030.997Group 2Shanyumi 00110136ZheJ-20Suichang Zhejiang 0.0030.997Group 2Bai60ri 00110143ZheJ-21Lishui Zhejiang 0.0050.995Group 2Zeibutou 00110195ZheJ-22Xianju Zhejiang 0.0020.998Group 2Kelilao00110197ZheJ-23Pan’an Zhejiang 0.0600.940Group 21)The figures refered to the proportion of membership that each landrace possessed.Table 1 (Continued from the preceding page)PGS revealed by Structure 1) NJ dendragram revealed Group 1 Group 2 by phylogenetic analysisAccession name Entry code Analyzing code Origin (county/city)Province/Regoin Table 2 Construction of two phylogenetic groups (SSR-clustered groups) and their correlation with geographical locationsGeographical location SSR-clustered groupChi-square testGroup 1Group 2Total Guangdong 2222 χ2 = 124.89Hainan 1818P < 0.0001Jiangxi 15621Anhui 1414Fujian 1717Jiangsu 1313Shanghai 1515Zhejiang 2323Total5588143by the software of Excel MicroSatellite toolkit (Park 2001). Average number of alleles per locus was calcu-lated by the formula rAA rj j¦1, with the standarddeviation of1)()(12¦ r A AA rj jV , where A j was thenumber of distinct alleles at locus j , and r was the num-ber of loci (Park 2001).Unbiased gene diversity also known as expected heterozygosity, observed heterozygosity for each lo-cus and average gene diversity across the 54 SSR loci,as well as model-based groupings inferred by Struc-ture ver. 2.2, were calculated by the softwarePowerMarker ver.3.25 (Liu et al . 2005). Unbiased gene diversity for each locus was calculated by˅˄¦ 2ˆ1122ˆi x n n h , where 2ˆˆ2ˆ2¦¦z ji ijij i X X x ,and ij X ˆwas the frequency of genotype A i A jin the sample, and n was the number of individuals sampled.The average gene diversity across 54 loci was cal-culated as described by Nei (1987) as follows:rh H rj j ¦1ˆ, with the variance ,whereThe average observed heterozygosity across the en-tire loci was calculated as described by (Hedrick 1983)as follows: r jrj obsobs n h h ¦1, with the standard deviationrn h obs obsobs 1V1256LIU Zhi-zhai et al.Phylogenetic analysis and population genetic structureRelationships among all of the 143 accessions collected from SR were evaluated by using the unweighted pair group method with neighbor-joining (NJ) based on the log transformation of the proportion of shared alleles distance (InSPAD) via PowerMarker ver. 3.25 (FukunagaTable 3 The PIC of each locus and the number of alleles detected by 54 SSRsLocus Bin Repeat motif PIC No. of alleles Description 2)bnlg1007y51) 1.02AG0.7815Probe siteumc1122 1.06GGT0.639Probe siteumc1147y41) 1.07CA0.2615Probe sitephi961001) 2.00ACCT0.298Probe siteumc1185 2.03GC0.7215ole1 (oleosin 1)phi127 2.08AGAC0.577Probe siteumc1736y21) 2.09GCA T0.677Probe sitephi453121 3.01ACC0.7111Probe sitephi374118 3.03ACC0.477Probe sitephi053k21) 3.05A TAC0.7910Probe sitenc004 4.03AG0.4812adh2 (alcohol dehydrogenase 2)bnlg490y41) 4.04T A0.5217Probe sitephi079 4.05AGATG0.495gpc1(glyceraldehyde-3-phosphate dehydrogenase 1) bnlg1784 4.07AG0.6210Probe siteumc1574 4.09GCC0.719sbp2 (SBP-domain protein 2)umc1940y51) 4.09GCA0.4713Probe siteumc1050 4.11AA T0.7810cat3 (catalase 3)nc130 5.00AGC0.5610Probe siteumc2112y31) 5.02GA0.7014Probe sitephi109188 5.03AAAG0.719Probe siteumc1860 5.04A T0.325Probe sitephi085 5.07AACGC0.537gln4 (glutamine synthetase 4)phi331888 5.07AAG0.5811Probe siteumc1153 5.09TCA0.7310Probe sitephi075 6.00CT0.758fdx1 (ferredoxin 1)bnlg249k21) 6.01AG0.7314Probe sitephi389203 6.03AGC0.416Probe sitephi299852y21) 6.07AGC0.7112Probe siteumc1545y21)7.00AAGA0.7610hsp3(heat shock protein 3)phi1127.01AG0.5310o2 (opaque endosperm 2)phi4207018.00CCG0.469Probe siteumc13598.00TC0.7814Probe siteumc11398.01GAC0.479Probe siteumc13048.02TCGA0.335Probe sitephi1158.03A TAC0.465act1(actin1)umc22128.05ACG0.455Probe siteumc11218.05AGAT0.484Probe sitephi0808.08AGGAG0.646gst1 (glutathione-S-transferase 1)phi233376y11)8.09CCG0.598Probe sitebnlg12729.00AG0.8922Probe siteumc20849.01CTAG0.498Probe sitebnlg1520k11)9.01AG0.5913Probe sitephi0659.03CACCT0.519pep1(phosphoenolpyruvate carboxylase 1)umc1492y131)9.04GCT0.2514Probe siteumc1231k41)9.05GA0.2210Probe sitephi1084119.06AGCT0.495Probe sitephi4488809.06AAG0.7610Probe siteumc16759.07CGCC0.677Probe sitephi041y61)10.00AGCC0.417Probe siteumc1432y61)10.02AG0.7512Probe siteumc136710.03CGA0.6410Probe siteumc201610.03ACAT0.517pao1 (polyamine oxidase 1)phi06210.04ACG0.337mgs1 (male-gametophyte specific 1)phi07110.04GGA0.515hsp90 (heat shock protein, 90 kDa)1) These primers were provided by Beijing Academy of Agricultural and Forestry Sciences (Beijing, China).2) Searched from Analysis of Genetic Diversity and Population Structure of Maize Landraces from the South Maize Region of China1257et al. 2005). The unrooted phylogenetic tree was finally schematized with the software MEGA (molecular evolu-tionary genetics analysis) ver. 3.1 (Kumar et al. 2004). Additionally, a chi-square test was used to reveal the correlation between the geographical origins and SSR-clustered groups through FREQ procedure implemented in SAS ver. 9.0 (2002, SAS Institute, Inc.).In order to reveal the population genetic structure (PGS) of 143 landrace accessions, a Bayesian approach was firstly applied to determine the number of groups (K) that these materials should be assigned by the soft-ware BAPS (Bayesian Analysis of Population Structure) ver.5.1. By using BAPS, a fixed-K clustering proce-dure was applied, and with each separate K, the num-ber of runs was set to 100, and the value of log (mL) was averaged to determine the appropriate K value (Corander et al. 2003; Corander and Tang 2007). Since the number of groups were determined, a model-based clustering analysis was used to assign all of the acces-sions into the corresponding groups by an admixture model and a correlated allele frequency via software Structure ver.2.2 (Pritchard et al. 2000; Falush et al. 2007), and for the given K value determined by BAPS, three independent runs were carried out by setting both the burn-in period and replication number 100000. The threshold probability assigned individuals into groupswas set by 0.8 (Liu et al. 2003). The PGS result carried out by Structure was visualized via Distruct program ver. 1.1 (Rosenberg 2004).RESULTSGenetic diversityA total of 517 alleles were detected by the whole set of54 SSRs covering the entire maize genome through all of the 143 maize landraces, with an average of 9.57 alleles per locus and ranged from 4 (umc1121) to 22 (bnlg1272) (Table 3). Among all the alleles detected, the number of distinct alleles accounted for 132 (25.53%), with an av-erage of 2.44 alleles per locus. The distinct alleles dif-fered significantly among the landraces from different provinces/regions, and the landraces from Guangdong, Fujian, Zhejiang, and Shanghai possessed more distinct alleles than those from the other provinces/regions, while those from southern Anhui possessed the lowest distinct alleles, only counting for 3.28% of the total (Table 4).Table 4 The genetic diversity within eight provinces/regions and groups revealed by 54 SSRsProvince/Region Sample size Allele no.1)Distinct allele no.Gene diversity (expected heterozygosity)Observed heterozygosity Anhui14 4.28 (4.19) 69 (72.4)0.51 (0.54)0.58 (0.58)Fujian17 4.93 (4.58 80 (79.3)0.56 (0.60)0.63 (0.62)Guangdong22 5.48 (4.67) 88 (80.4)0.57 (0.59)0.59 (0.58)Hainan18 4.65 (4.26) 79 (75.9)0.53 (0.57)0.55 (0.59)Jiangsu13 4.24 700.500.55Jiangxi21 4.96 (4.35) 72 (68.7)0.56 (0.60)0.68 (0.68)Shanghai15 5.07 (4.89) 90 (91.4)0.55 (0.60)0.55 (0.55)Zhejiang23 5.04 (4.24) 85 (74)0.53 (0.550.60 (0.61)Total/average1439.571320.610.60GroupGroup 155 6.63 (6.40) 91 (89.5)0.57 (0.58)0.62 (0.62)Group 2887.94 (6.72)110 (104.3)0.57 (0.57)0.59 (0.58)Total/Average1439.571320.610.60Provinces/Regions within a groupGroup 1Total55 6.69 (6.40) 910.57 (0.58)0.62 (0.62)Guangdong22 5.48 (4.99) 86 (90.1)0.57 (0.60)0.59 (0.58)Hainan18 4.65 (4.38) 79 (73.9)0.53 (0.56)0.55 (0.59)Jiangxi15 4.30 680.540.69Group 2Total887.97 (6.72)110 (104.3)0.57 (0.57)0.59 (0.58)Anhui14 4.28 (3.22) 69 (63.2)0.51 (0.54)0.58 (0.57)Fujian17 4.93 (3.58) 78 (76.6)0.56 (0.60)0.63 (0.61)Jiangsu13 4.24 (3.22) 71 (64.3)0.50 (0.54)0.55 (0.54)Jiangxi6 3.07 520.460.65Shanghai15 5.07 (3.20) 91 (84.1)0.55 (0.60)0.55 (0.54)Zhejiang23 5.04 (3.20) 83 (61.7)0.53 (0.54)0.60 (0.58)1258LIU Zhi-zhai et al.Among the 54 loci used in the study, 16 (or 29.63%) were dinucleotide repeat SSRs, which were defined as type class I-I, the other 38 loci were SSRs with a longer repeat motifs, and two with unknown repeat motifs, all these 38 loci were defined as the class of I-II. In addition, 15 were located within certain functional genes (defined as class II-I) and the rest were defined as class II-II. The results of comparison indicated that the av-erage number of alleles per locus captured by class I-I and II-II were 12.88 and 10.05, respectively, which were significantly higher than that by type I-II and II-I (8.18 and 8.38, respectively). The gene diversity re-vealed by class I-I (0.63) and II-I (0.63) were some-what higher than by class I-II (0.60) and II-II (0.60) (Table 5).Genetic relationships of the core landraces Overall, 143 landraces were clustered into two groups by using neighbor-joining (NJ) method based on InSPAD. All the landraces from provinces of Guangdong and Hainan and 15 of 21 from Jiangxi were clustered together to form group 1, and the other 88 landraces from the other provinces/regions formed group 2 (Fig.-B). The geographical origins of all these 143 landraces with the clustering results were schematized in Fig.-D. Revealed by the chi-square test, the phylogenetic results (SSR-clustered groups) of all the 143 landraces from provinces/regions showed a significant correlation with their geographical origin (χ2=124.89, P<0.0001, Table 2).Revealed by the phylogenetic analysis based on the InSPAD, the minimum distance was observed as 0.1671 between two landraces, i.e., Tianhongyumi (JiangX-03) and Hongganshanyumi (JiangX-04) collected from Jiangxi Province, and the maximum was between two landraces of Huangbaosu (FuJ-16) and Hongyumi (HaiN-14) collected from provinces of Fujian and Hainan, respectively, with the distance of 1.3863 (data not shown). Two landraces (JiangX-01 and JiangX-21) collected from the same location of Dexing County (Table 1) possessing the same names as Shanyumi were separated to different groups, i.e., JiangX-01 to group1, while JiangX-21 to group 2 (Table 1). Besides, JiangX-01 and JiangX-21 showed a rather distant distance of 0.9808 (data not shown). These results indicated that JiangX-01 and JiangX-21 possibly had different ances-tral origins.Population structureA Bayesian method was used to detect the number of groups (K value) of the whole set of landraces from SR with a fixed-K clustering procedure implemented in BAPS software ver. 5.1. The result showed that all of the 143 landraces could also be assigned into two groups (Fig.-A). Then, a model-based clustering method was applied to carry out the PGS of all the landraces via Structure ver. 2.2 by setting K=2. This method as-signed individuals to groups based on the membership probability, thus the threshold probability 0.80 was set for the individuals’ assignment (Liu et al. 2003). Accordingly, all of the 143 landraces were divided into two distinct model-based groups (Fig.-C). The landraces from Guangdong, Hainan, and 15 landraces from Jiangxi formed one group, while the rest 6 landraces from the marginal countries of northern Jiangxi and those from the other provinces formed an-other group (Table 1, Fig.-D). The PGS revealed by the model-based approach via Structure was perfectly consistent with the relationships resulted from the phy-logenetic analysis via PowerMarker (Table 1).DISCUSSIONThe SR includes eight provinces, i.e., southern Jiangsu and Anhui, Shanghai, Zhejiang, Fujian, Jiangxi, Guangdong, and Hainan (Fig.-C), with the annual maize growing area of about 1 million ha (less than 5% of theTable 5 The genetic diversity detected with different types of SSR markersType of locus No. of alleles Gene diversity Expected heterozygosity PIC Class I-I12.880.630.650.60 Class I-II8.180.600.580.55 Class II-I8.330.630.630.58。

美国国家生物技术信息中心（National Center of Biotechnology Information）唐志立它的使命包括四项任务:1. 建立关于分子生物学,生物化学，和遗传学知识的存储和分析的自动系统2. 实行关于用于分析生物学重要分子和复合物的结构和功能的基于计算机的信息处理的，先进方法的研究3. 加速生物技术研究者和医药治疗人员对数据库和软件的使用。

山东师范大学2016年4月10日星期日30则留学生经典笑话，英语不好伤不起！凭你在国内口语练得多么娴熟，去了国外，照样有犯痴呆傻的时候!1、有次房东问我：did u eat anyting yet？我说：no。

她听后重复了一遍：so u didn't eat anyting. 我说：yes。

房东老太太犹豫了下又问：did u eat? 我说:no.她接着说：so u didn’t eat。

我说：yes。

估计她当时要崩溃了……2、刚上班不久，有个公司的A/R打电话来催支票，我循例问了一下他是哪间公司打来的，那男的很有礼貌的说：This is xxx calling from BeachBrother。

听懂了很开心，不过由于对公司名字还不熟，心想先用笔记下来公司名，省得等下忘记了，正得意忘形之间，顺嘴开始拼写人家公司的名字，还说得一本正经:b.i。

t.c。

h。

bitch，correct? 那男的终于还是没能忍住怒火，近似于怒吼似的对我喊道：NO！B.E.A.C.H。

BEACH！接下来的一年里，没再跟这间公司有过任何生意往来……3、我男朋友以前在温哥华乘skytrain 的时候,一个白人女人说：I am sorry。

他直接说:you are welcome。

对方都呆了。

4、第一次跟老外去打painball，玩的是抢旗的那种.由于第一次玩，一直跟着个看起来很专业的队友跑,一路上躲着子弹跑到对方的base。

我们人都挂了,对方就剩一个人在看老家,就听那老外跟我说了一大堆术语,我也没听懂。

遗传学报　A cta Genetica S inica ,J uly 2005,32(7):726～732ISSN 0379-4172收稿日期:2004-09-21;修回日期:2004-12-06基金项目:国家“863”计划(编号:2002AA234031)资助[Supported by t he Chinese National Programs for High Technology Research and Devel 2opment (No.2002AA234031)]作者简介:金谷雷(1982-),男,浙江温州人,硕士研究生,研究方向:生物信息学①　通讯作者。

E 2mail :Jzhu @Bi oi nf or matic Anal ys is of t he 142323Ge ne Fa mil y i n Ric eJ IN Gu 2Lei ,WAN G Xu 2Sheng ,ZHU J un ①(I nstit ution of bioinf ormatics ,Zhej i ang Universit y ,Hangz hou 310029,China )Abs t ra ct :Using two 2step H MM (hidden markov model )scan strategy ,eight 1423232like proteins were identified bysearching the Oryza sativa L.ssp.japonica protein database.From them four gene s were newly detected in this study.We con fined the gene s expressing in Nipponbare by EST search.Expression analysis also showed each gene expre ssed diversely within any individual ,this tends sugge sted specific function of particular gene.Alignment of amino acid se 2quences sugge sted that there could be isoform function of the specific re sidue s.The analyses of gene structure andchromosome location indicated that rice genome contains both εand no 2εforms of 142323proteins.In addition ,we ana 2lyzed the evolution of the rice 142323protein family.Ke y w or ds :rice ;142323protein ;gene family ;phylogenic analysis ;gene structure水稻142323蛋白家族的生物信息学分析金谷雷,汪旭升,朱　军①(浙江大学生物信息学研究所,杭州　310029)摘　要:通过隐马尔柯夫模型(Hidden Markov Model ,HMM ),对粳稻(Ory z a sativa L.ssp.j a ponica )基因组的蛋白质数据库进行搜索,结果获得8个142323蛋白的同源序列,其中发现4个新基因。

生物信息学期末考试答案rmatics是一门综合运用生物学、数学、物理学、信息科学以及计算机科学等多个学科的理论方法，以互联网为媒介、数据库为载体，利用数学和计算机科学对生物学数据进行储存、检索和处理分析，并进一步挖掘和解读生物学数据。

Consensus sequence是决定启动序列的转录活性大小的序列。

在各种原核启动序列特定区域内（通常在转录起始点上游-10及-35区域）存在共有序列，这是在两个或多个同源序列的每一个位置上多数出现的核苷酸或氨基酸组成的序列。

数据挖掘通常是利用计算方法分析生物数据，即根据核酸序列预测蛋白质序列、结构、功能的算法等，实现对现有数据库中的数据进行发掘。

EST（Expressed Sequence Tag）是某个基因cDNA克隆测序所得的部分序列片段，长度大约为200~600bp。

相似性是指序列比对过程中用来描述检测序列和目标序列之间相同DNA碱基或氨基酸残基顺序所占比例的高低。

同源性是两个对象间的肯定或者否定的关系，如两个基因在进化上是否曾具有共同祖先。

从足够的相似性能够判定二者之间的同源性。

比对从核酸以及氨基酸的层次去分析序列的相同点和不同点，以期能够推测它们的结构、功能以及进化上的联系。

或是指为确定两个或多个序列之间的相似性以至于同源性，而将它们按照一定的规律排列。

BLOSUM（模块替换矩阵）是指在对蛋白质数据库搜索时，采用不同的相似性分数矩阵进行检索的相似性矩阵。

以序列片段为基础，从蛋白质模块数据库BLOCKS中找出一组替换矩阵，用于解决序列的远距离相关。

在构建矩阵过程中，通过设置最小相同残基数百分比将序列片段整合在一起，以避免由于同一个残基对被重复计数而引入的任何潜在的偏差。

在每一片段中，计算出每个残基位置的平均贡献，使得整个片段可以有效地被看作为单一序列。

通过设置不同的百分比，产生了不同矩阵。

生物信息学是一门综合学科，主要研究生物学系统和生物学过程中信息流的综合系统，运用生物学、数学、物理学、信息科学以及计算机科学等多学科的理论方法，以互联网为媒介、数据库为载体，利用数学和计算机科学对生物学数据进行储存、检索和处理分析，并进一步挖掘和解读生物学数据。

Hereditas (Beijing) 2021年4月, 43(4): 375―384 收稿日期: 2021-01-05; 修回日期: 2021-03-04基金项目:科技部重点研发计划项目(编号：2018YFA0801100)资助[Supported by the National Key R&D Program of the Ministry of Science andTechnology of China (No. 2018YFA0801100)]作者简介: 朱文静，硕士，实验技术员，研究方向：生物化学与分子生物学。

E-mail:*********************通讯作者:刘志玮，博士，研究方向：生物化学与分子生物学。

E-mail:********************DOI: 10.16288/j.yczz.21-005 网络出版时间: 2021/3/16 11:31:37URI: https:///kcms/detail/11.1913.R.20210315.0958.005.html资源与平台MDMPR ：小鼠发育代谢表型库朱文静，刘志玮苏州大学，剑桥–苏大基因组资源中心，苏州 215123摘要: 小鼠发育代谢表型库(Mouse Developmental and Metabolic Phenotype Repository, MDMPR)是一个致力于小鼠资源和表型数据实时共享的开放性平台，它依托于科技部重点研发计划“发育编程及其代谢调节”专项项目“建立小鼠发育代谢表型库”。

该项目预计在5年内完成500个发育代谢相关小鼠敲除模型的建立，并对其表型数据进行标准化的解析、建立表型数据库。

MDMPR 作为一个资源及数据集成的库，由多个子系统作为支撑，包括ES 细胞数据库、项目管理系统、繁育管理系统、精子库管理系统、表型分析系统，信息化管理深入到项目中每个环节，从基因突变ES 细胞制备、基因突变小鼠制备、小鼠繁育，精子冻存到最终的表型分析、数据处理及展示，保证了MDMPR 产生数据的真实性及实时性。

美洲棉铃虫细胞中dsRNA介导的egfp基因沉默分析赵淑玲;梁昌镛;李敏;王海花;张高瞻【摘要】为了分析在美洲棉铃虫细胞( HzAM1)内RNAi的效果,将egfp基因克隆到含有双向T7启动子/终止子的质粒载体中,在体外合成全长的增强型绿色荧光蛋白(egfp)基因dsRNA,将dsRNA和含有能在昆虫细胞内表达eGFP的质粒一起转染HzAM1细胞,分析dsRNA对eGFP表达的抑制作用.结果显示,由egfp基因转录的长dsRNA能有效抑制HzAM1细胞内eGFP的表达,而且该抑制作用表现为剂量依赖效应.但是抑制作用并不彻底,在高剂量的dsRNA处理下,仍有部分细胞内能观察到eGFP的表达.【期刊名称】《生物技术通报》【年(卷),期】2011(000)011【总页数】4页(P130-133)【关键词】RNA干扰;美洲棉铃虫细胞;体外转录;绿色荧光蛋白;昆虫【作者】赵淑玲;梁昌镛;李敏;王海花;张高瞻【作者单位】扬州大学生物科学与技术学院,扬州225009;扬州大学生物科学与技术学院,扬州225009;扬州大学生物科学与技术学院,扬州225009;扬州大学生物科学与技术学院,扬州225009;扬州大学生物科学与技术学院,扬州225009【正文语种】中文RNA干扰(RNA interference，RNAi)是近年来发现在细胞中基因表达沉默的现象[1，2]。

在昆虫细胞中，长段的双链RNA(dsRNA)能通过RNAi从而使得靶基因表达沉默，但是这种长dsRNA对哺乳动物细胞的基因表达干扰是无效的[3]，而大约21 bp的小双链干扰RNA(small/short interference RNA，siRNA)却能沉默包括昆虫和哺乳动物以及其他多类生物细胞的基因表达[4]。

RNAi是一种进化上相对保守的生命现象，其包含多步骤的生化过程:首先通过RNase III核酸内切酶(命名为Dicer)的作用将长dsRNA切割成siRNA。

中国科学引文数据库来源期刊列表（2019-2020年度）序号期刊名称ISSN 备注1 Acta Biochimica et Biophysica Sinica 1672-9145 核心库2 Acta Geochimica 2096-0956 核心库3 Acta Geologica Sinica 1000-9515 核心库4 Acta Mathematica Scientia 0252-9602 核心库5 Acta Mathematica Sinica. English Series 1439-8516 核心库6 Acta Mathematicae Applicatae Sinica 0168-9673 核心库7 Acta Mechanica Sinica 0567-7718 核心库8 Acta Mechanica Solida Sinica 0894-9166 核心库9 Acta Metallurgica Sinica(English Letters) 1006-7191 核心库10 Acta Oceanologica Sinica 0253-505X 核心库11 Acta Pharmaceutica Sinica B 2211-3835 核心库12 Acta Pharmacologica Sinica 1671-4083 核心库13 Advanced Photonics 2577-5421 核心库14 Advances in Atmospheric Sciences 0256-1530 核心库15 Advances in Climate Change Research 1674-9278 核心库16 Advances in Manufacturing 2095-3127 核心库17 Advances in Polar Science 1674-9928 核心库18 Algebra Colloquium 1005-3867 核心库19 Analysis in Theory and Applications 1672-4070 核心库20 Animal Models and Experimental Medicine 2096-5451 核心库21 Applied Geophysics 1672-7975 核心库22 Applied Mathematics and Mechanics 0253-4827 核心库1005-1031 核心库23 Applied Mathematics. Series B, A Journal ofChinese Universities24 Asian Herpetological Research 2095-0357 核心库25 Asian Journal of Andrology 1008-682X 核心库26 Asian Journal of Urology 2214-3882 核心库27 Astrodynamics 2522-008X 核心库28 Atmospheric and Oceanic Science Letters 1674-2834 核心库29 Automotive Innovation 2096-4250 核心库30 Avian Research 2055-6187 核心库31 Bio-Design and Manufacturing 2096-5524 核心库32 Biomedical and Environmental Sciences 0895-3988 核心库33 Biophysics Reports 2364-3439 核心库34 Bone Research 2095-4700 核心库35 Building Simulation 1996-3599 核心库36 Built Heritage 2096-3041 核心库37 Cancer Biology and Medicine 2095-3941 核心库38 Cell Research 1001-0602 核心库39 Cellular & Molecular Immunology 1672-7681 核心库2096-3564 核心库40 CES Transactions on Electrical Machines andSystems41 Chemical Research in Chinese Universities 1005-9040 核心库42 China City Planning Review 1002-8447 核心库43 China Communications 1673-5447 核心库44 China Ocean Engineering 0890-5487 核心库45 Chinese Annals of Mathematics. Series B 0252-9599 核心库46 Chinese Chemical Letters 1001-8417 核心库47 Chinese Geographical Science 1002-0063 核心库48 Chinese Journal of Acoustics 0217-9776 核心库49 Chinese Journal of Aeronautics 1000-9361 核心库50 Chinese Journal of Cancer 1000-467X 核心库51 Chinese Journal of Cancer Research 1000-9604 核心库52 Chinese Journal of Chemical Engineering 1004-9541 核心库53 Chinese Journal of Chemical Physics 1674-0068 核心库54 Chinese Journal of Chemistry 1001-604X 核心库55 Chinese Journal of Electrical Engineering 2096-1529 核心库56 Chinese Journal of Electronics 1022-4653 核心库57 Chinese Journal of Integrative Medicine 1672-0415 核心库58 Chinese Journal of Mechanical Engineering 1000-9345 核心库59 Chinese Journal of Natural Medicines 2095-6975 核心库60 Chinese Journal of Polymer Science 0256-7679 核心库61 Chinese Journal of Structural Chemistry 0254-5861 核心库62 Chinese Journal of Traumatology 1008-1275 核心库63 Chinese Medical Journal 0366-6999 核心库64 Chinese Medical Sciences Journal 1001-9294 核心库65 Chinese Neurosurgical Journal 2095-9370 核心库66 Chinese Optics Letters 1671-7694 核心库67 Chinese Physics Letters 0256-307X 核心库68 Chinese Physics. B 1674-1056 核心库69 Chinese Physics. C 1674-1137 核心库70 Chronic Diseases and Translational Medicine 2095-882X 核心库71 Communications in Mathematical Research 1674-5647 核心库72 Communications in Theoretical Physics 0253-6102 核心库73 Computational Visual Media 2096-0433 核心库74 Control Theory and Technology 2095-6983 核心库75 CSEE Journal of Power and Energy systems 2096-0042 核心库76 Current Zoology 1674-5507 核心库77 Cybersecurity 2523-3246 核心库78 Defence Technology 2096-3459 核心库79 Earth and Planetary Physics 2096-3955 核心库80 Earthquake Engineering and Engineering Vibration 1671-3664 核心库81 Earthquake Research in China 0891-4176 核心库82 Entomotaxonomia 2095-8609 核心库83 Eye and Vision 2326-0254 核心库84 Food Quality and Safety 2399-1399 核心库85 Forensic Sciences Research 2096-1790 核心库86 Forest Ecosystems 2095-6355 核心库87 Friction 2223-7690 核心库88 Frontiers in Biology 1674-7984 核心库89 Frontiers in Energy 2095-1701 核心库90 Frontiers of Architectural Research 2095-2635 核心库91 Frontiers of Chemical Science and Engineering 2095-0179 核心库92 Frontiers of Computer Science 2095-2228 核心库93 Frontiers of Earth Science 2095-0195 核心库94 Frontiers of Environmental Science & Engineering 2095-2201 核心库2095-9184 核心库95 Frontiers of Information Technology & ElectronicEngineering96 Frontiers of Materials Science 2095-025X 核心库97 Frontiers of Mathematics in China 1673-3452 核心库98 Frontiers of Mechanical Engineering 2095-0233 核心库99 Frontiers of Medicine 2095-0217 核心库100 Frontiers of Optoelectronics 2095-2759 核心库101 Frontiers of Physics 2095-0462 核心库102 Frontiers of Structural and Civil Engineering 2095-2430 核心库103 General Psychiatry 2096-5923 核心库104 Genomics, Proteomics & Bioinformatics 1672-0229 核心库105 Geoscience Frontiers 1674-9871 核心库106 Geo-spatial Information Science 1009-5020 核心库107 Green Energy & Environment 2096-2797 核心库108 Hepatobiliary & Pancreatic Diseases International 1499-3872 核心库109 High Power Laser Science and Engineering 2095-4719 核心库110 IEEE/CAA Journal of Automatica Sinica 2329-9266 核心库111 Insect Science 1672-9609 核心库112 Integrative Zoology 1749-4869 核心库113 International Journal of Automation and Computing 1476-8186 核心库114 International Journal of Disaster Risk Science 2095-0055 核心库1674-4799 核心库115 International Journal of Minerals, Metallurgy andMaterials116 International Journal of Mining Science and2095-2686 核心库Technology117 International Journal of Nursing Sciences 2352-0132 核心库118 International Journal of Oral Science 1674-2818 核心库2095-6339 核心库119 International Soil and Water ConservationResearch120 Journal of Acupuncture and Tuina Science 1672-3597 核心库121 Journal of Advanced Ceramics 2226-4108 核心库122 Journal of Animal Science and Biotechnology 1674-9782 核心库123 Journal of Arid Land 1674-6767 核心库124 Journal of Bionic Engineering 1672-6529 核心库125 Journal of Central South University 2095-2899 核心库126 Journal of Chinese Pharmaceutical Sciences 1003-1057 核心库127 Journal of Communications and Information2096-1081 核心库Networks128 Journal of Computational Mathematics 0254-9409 核心库129 Journal of Computer Science and Technology 1000-9000 核心库130 Journal of Data and Information Science 2096-157X 核心库131 Journal of Earth Science 1674-487X 核心库132 Journal of Electronic Science and Technology 1674-862X 核心库133 Journal of Energy Chemistry 2095-4956 核心库134 Journal of Environmental Sciences 1001-0742 核心库135 Journal of Forestry Research 1007-662X 核心库136 Journal of Genetics and Genomics 1673-8527 核心库137 Journal of Geographical Sciences 1009-637X 核心库138 Journal of Geriatric Cardiology 1671-5411 核心库139 Journal of Hydrodynamics 1001-6058 核心库140 Journal of Integrative Agriculture 2095-3119 核心库141 Journal of Integrative Medicine 2095-4964 核心库142 Journal of Integrative Plant Biology 1672-9072 核心库143 Journal of Iron and Steel Research, International 1006-706X 核心库144 Journal of Marine Science and Application 1671-9433 核心库145 Journal of Materials Science & Technology 1005-0302 核心库2095-2651 核心库146 Journal of Mathematical Research withApplications1674-8042 核心库147 Journal of Measurement Science andInstrumentation148 Journal of Meteorological Research 2095-6037 核心库149 Journal of Modern Power Systems and Clean Energy 2196-5625 核心库150 Journal of Molecular Cell Biology 1674-2788 核心库151 Journal of Mountain Science 1672-6316 核心库152 Journal of Ocean University of China 1672-5182 核心库153 Journal of Oceanology and Limnology 2096-5508 核心库154 Journal of Otology 1672-2930 核心库155 Journal of Palaeogeography 2095-3836 核心库156 Journal of Partial Differential Equations 1000-940X 核心库157 Journal of Pharmaceutical Analysis 2095-1779 核心库158 Journal of Plant Ecology 1752-9921 核心库159 Journal of Rare Earths 1002-0721 核心库160 Journal of Resources and Ecology 1674-764X 核心库1674-7755 核心库161 Journal of Rock Mechanics and GeotechnicalEngineering162 Journal of Semiconductors 1674-4926 核心库163 Journal of Systematics and Evolution 1674-4918 核心库164 Journal of Systems Engineering and Electronics 1004-4132 核心库165 Journal of Systems Science and Complexity 1009-6124 核心库166 Journal of Systems Science and Information 1478-9906 核心库167 Journal of Systems Science and Systems Engineering 1004-3756 核心库2194-668X 核心库168 Journal of the Operations Research Society ofChina169 Journal of Thermal Science 1003-2169 核心库170 Journal of Traditional Chinese Medicine 0255-2922 核心库171 Journal of Traffic and Transportation Engineering2095-7564 核心库(English Edition)1673-565X 核心库172 Journal of Zhejiang University. Science A, AppliedPhysics & Engineering173 Journal of Zhejiang University. Science B,1673-1581 核心库Biomedicine & Biotechnology174 Light:Science & Applications 2095-5545 核心库175 Microsystems & Nanoengineering 2096-1030 核心库176 Military Medical Research 2095-7467 核心库177 Molecular Plant 1674-2052 核心库178 Nano Research 1998-0124 核心库179 Nano-Micro Letters 2311-6706 核心库180 Nanotechnology and Precision Engineering 1672-6030 核心库181 National Science Review 2095-5138 核心库182 Neural Regeneration Research 1673-5374 核心库183 Neuroscience Bulletin 1673-7067 核心库184 npj Computational Materials 2057-3960 核心库185 Nuclear Science and Techniques 1001-8042 核心库1004-8979 核心库186 Numerical Mathematics Theory, Methods andApplications187 Particuology 1674-2001 核心库188 Pediatric Investigation 2096-3726 核心库189 Pedosphere 1002-0160 核心库190 Petroleum 2405-6561 核心库191 Petroleum Science 1672-5107 核心库192 Photonic Sensors 1674-9251 核心库193 Photonics Research 2327-9125 核心库194 Plant Diversity 2096-2703 核心库195 Plasma Science & Technology 1009-0630 核心库1002-0071 核心库196 Progress in Natural Science: MaterialsInternational197 Protein & Cell 1674-800X 核心库198 Quantitative Biology 2095-4689 核心库199 Radiation Detection Technology and Methods 2509-9930 核心库200 Rare Metals 1001-0521 核心库201 Reproductive and Developmental Medicine 2096-2924 核心库202 Research in Astronomy and Astrophysics 1674-4527 核心库203 Rice Science 1672-6308 核心库204 Science Bulletin 2095-9273 核心库205 Science China. Chemistry 1674-7291 核心库206 Science China. Earth Sciences 1674-7313 核心库207 Science China. Information Sciences 1674-733X 核心库208 Science China. Life Sciences 1674-7305 核心库209 Science China. Materials 2095-8226 核心库210 Science China. Mathematics 1674-7283 核心库211 Science China. Physics, Mechanics & Astronomy 1674-7348 核心库212 Science China. Technological Sciences 1674-7321 核心库213 Sciences in Cold and Arid Regions 1674-3822 核心库214 Signal Transduction and Targeted Therapy 2095-9907 核心库215 The Crop Journal 2095-5421 核心库216 The Journal of Biomedical Research 1674-8301 核心库217 The Journal of China Universities of Posts and1005-8885 核心库Telecommunications218 Theoretical and Applied Mechanics Letters 2095-0349 核心库1005-1120 核心库219 Transactions of Nanjing University of Aeronauticsand Astronautics220 Transactions of Nonferrous Metals Society of China 1003-6326 核心库221 Tsinghua Science and Technology 1007-0214 核心库222 Virologica Sinica 1674-0769 核心库223 Water Science and Engineering 1674-2370 核心库224 World Journal of Acupuncture-Moxibustion 1003-5257 核心库225 World Journal of Emergency Medicine 1920-8642 核心库226 World Journal of Pediatrics 1708-8569 核心库227 Wuhan University Journal of Natural Sciences 1007-1202 核心库228 Zoological Research 2095-8137 核心库229 Zoological Systematics 2095-6827 核心库230 安徽农业大学学报1672-352X 扩展库231 安全与环境学报1009-6094 核心库232 爆破1001-487X 扩展库233 爆炸与冲击1001-1455 核心库234 北京大学学报. 医学版1671-167X 核心库235 北京大学学报. 自然科学版0479-8023 核心库236 北京工业大学学报0254-0037 扩展库237 北京航空航天大学学报1001-5965 核心库238 北京化工大学学报. 自然科学版1671-4628 扩展库239 北京交通大学学报. 自然科学版1673-0291 扩展库240 北京理工大学学报1001-0645 核心库241 北京林业大学学报1000-1522 核心库242 北京师范大学学报. 自然科学版0476-0301 核心库243 北京邮电大学学报1007-5321 核心库244 北京中医药大学学报1006-2157 核心库245 表面技术1001-3660 核心库246 冰川冻土1000-0240 核心库247 兵工学报1000-1093 核心库248 兵器材料科学与工程1004-244X 扩展库249 病毒学报1000-8721 核心库250 材料保护1001-1560 扩展库251 材料导报1005-023X 核心库252 材料工程1001-4381 核心库253 材料科学与工程学报1673-2812 核心库254 材料科学与工艺1005-0299 核心库255 材料热处理学报1009-6264 核心库256 材料研究学报1005-3093 核心库257 采矿与安全工程学报1673-3363 核心库258 蚕业科学0257-4799 扩展库259 草地学报1007-0435 核心库260 草业科学1001-0629 核心库261 草业学报1004-5759 核心库262 草原与草坪1009-5500 扩展库263 测绘工程1006-7949 扩展库264 测绘科学1009-2307 核心库265 测绘通报0494-0911 扩展库266 测绘学报1001-1595 核心库267 茶叶科学1000-369X 核心库268 肠外与肠内营养1007-810X 核心库269 沉积学报1000-0550 核心库270 沉积与特提斯地质1009-3850 扩展库271 成都理工大学学报. 自然科学版1671-9727 核心库272 城市发展研究1006-3862 扩展库273 城市规划1002-1329 扩展库274 城市规划学刊1000-3363 扩展库275 储能科学与技术2095-4239 核心库276 畜牧兽医学报0366-6964 核心库277 传感技术学报1004-1699 核心库278 传感器与微系统2096-2436 扩展库279 船舶工程1000-6982 扩展库280 船舶力学1007-7294 核心库281 磁性材料及器件1001-3830 扩展库282 催化学报0253-9837 核心库283 大地测量与地球动力学1671-5942 核心库284 大地构造与成矿学1001-1552 核心库285 大豆科学1000-9841 扩展库286 大连海事大学学报1006-7736 扩展库287 大连海洋大学学报2095-1388 核心库288 大连理工大学学报1000-8608 核心库289 大气科学1006-9895 核心库290 大气科学学报1674-7097 扩展库291 大气与环境光学学报1673-6141 核心库292 大庆石油地质与开发1000-3754 扩展库293 淡水渔业1000-6907 扩展库294 弹道学报1004-499X 核心库295 导弹与航天运载技术1004-7182 扩展库296 导航定位学报2095-4999 扩展库297 低温工程1000-6516 扩展库298 地层学杂志0253-4959 核心库299 地理科学1000-0690 核心库300 地理科学进展1007-6301 核心库301 地理学报0375-5444 核心库302 地理研究1000-0585 核心库303 地理与地理信息科学1672-0504 核心库304 地球化学0379-1726 核心库305 地球环境学报1674-9901 扩展库306 地球科学1000-2383 核心库307 地球科学进展1001-8166 核心库308 地球物理学报0001-5733 核心库309 地球物理学进展1004-2903 核心库310 地球信息科学学报1560-8999 核心库311 地球学报1006-3021 核心库312 地球与环境1672-9250 核心库313 地下空间与工程学报1673-0836 核心库314 地学前缘1005-2321 核心库315 地域研究与开发1003-2363 核心库316 地震1000-3274 核心库317 地震地质0253-4967 核心库318 地震工程学报1000-0844 扩展库319 地震工程与工程振动1000-1301 核心库320 地震学报0253-3782 核心库321 地震研究1000-0666 扩展库322 地质科技情报1000-7849 核心库323 地质科学0563-5020 核心库324 地质力学学报1006-6616 扩展库325 地质论评0371-5736 核心库326 地质通报1671-2552 核心库327 地质学报0001-5717 核心库328 地质与勘探0495-5331 核心库329 地质找矿论丛1001-1412 扩展库330 第二军医大学学报0258-879X 核心库331 第三军医大学学报1000-5404 核心库332 第四纪研究1001-7410 核心库333 电波科学学报1005-0388 核心库334 电池1001-1579 扩展库335 电镀与环保1000-4742 扩展库336 电镀与涂饰1004-227X 扩展库337 电工电能新技术1003-3076 扩展库338 电工技术学报1000-6753 核心库339 电光与控制1671-637X 扩展库340 电化学1006-3471 扩展库341 电机与控制学报1007-449X 核心库342 电力电子技术1000-100X 扩展库343 电力系统保护与控制1674-3415 核心库344 电力系统及其自动化学报1003-8930 核心库345 电力系统自动化1000-1026 核心库346 电力自动化设备1006-6047 核心库347 电网技术1000-3673 核心库348 电源学报2095-2805 扩展库349 电子测量与仪器学报1000-7105 核心库350 电子科技大学学报1001-0548 核心库351 电子显微学报1000-6281 扩展库352 电子学报0372-2112 核心库353 电子与信息学报1009-5896 核心库354 电子元件与材料1001-2028 扩展库355 东北大学学报. 自然科学版1005-3026 核心库356 东北林业大学学报1000-5382 核心库357 东北农业大学学报1005-9369 核心库358 东南大学学报. 自然科学版1001-0505 核心库359 动力工程学报1674-7607 核心库360 动物学杂志0250-3263 扩展库361 动物营养学报1006-267X 核心库362 毒理学杂志1002-3127 核心库363 断块油气田1005-8907 核心库364 锻压技术1000-3940 扩展库365 发光学报1000-7032 核心库366 法医学杂志1004-5619 扩展库367 防灾减灾工程学报1672-2132 核心库368 纺织学报0253-9721 扩展库369 飞行力学1002-0853 核心库370 非金属矿1000-8098 核心库371 分析测试学报1004-4957 核心库372 分析化学0253-3820 核心库373 分析科学学报1006-6144 扩展库374 分析试验室1000-0720 核心库375 分子催化1001-3555 扩展库376 分子植物育种1672-416X 扩展库377 粉末冶金技术1001-3784 扩展库378 辐射防护1000-8187 扩展库379 辐射研究与辐射工艺学报1000-3436 核心库380 福建农林大学学报. 自然科学版1671-5470 扩展库381 福建农业学报1008-0384 扩展库382 腐蚀科学与防护技术1002-6495 核心库383 复旦学报. 医学版1672-8467 核心库384 复旦学报. 自然科学版0427-7104 扩展库385 复合材料学报1000-3851 核心库386 复杂系统与复杂性科学1672-3813 核心库387 甘肃农业大学学报1003-4315 扩展库388 干旱地区农业研究1000-7601 核心库389 干旱区地理1000-6060 核心库390 干旱区研究1001-4675 核心库391 干旱区资源与环境1003-7578 核心库392 钢铁0449-749X 核心库393 钢铁研究学报1001-0963 核心库394 高等学校化学学报0251-0790 核心库395 高等学校计算数学学报1000-081X 扩展库396 高电压技术1003-6520 核心库397 高分子材料科学与工程1000-7555 核心库398 高分子通报1003-3726 核心库399 高分子学报1000-3304 核心库400 高校地质学报1006-7493 核心库401 高校化学工程学报1003-9015 核心库402 高压电器1001-1609 核心库403 高压物理学报1000-5773 核心库404 高原科学研究2096-4617 扩展库405 高原气象1000-0534 核心库406 给水排水1002-8471 核心库407 工程爆破1006-7051 核心库408 工程地质学报1004-9665 核心库409 工程科学学报2095-9389 扩展库410 工程科学与技术2096-3246 扩展库411 工程力学1000-4750 核心库412 工程热物理学报0253-231X 核心库413 工程设计学报1006-754X 核心库414 工程数学学报1005-3085 核心库415 工程塑料应用1001-3539 核心库416 工业建筑1000-8993 扩展库417 工业水处理1005-829X 扩展库418 公路交通科技1002-0268 核心库419 功能材料1001-9731 核心库420 功能高分子学报1008-9357 扩展库421 古地理学报1671-1505 核心库422 古脊椎动物学报1000-3118 核心库423 古生物学报0001-6616 核心库424 固体火箭技术1006-2793 核心库425 固体力学学报0254-7805 核心库426 管理工程学报1004-6062 核心库427 管理科学学报1007-9807 核心库428 灌溉排水学报1672-3317 扩展库429 光电工程1003-501X 核心库430 光电子·激光1005-0086 核心库431 光谱学与光谱分析1000-0593 核心库432 光学技术1002-1582 扩展库433 光学精密工程1004-924X 核心库434 光学学报0253-2239 核心库435 光子学报1004-4213 核心库436 广西植物1000-3142 扩展库437 硅酸盐学报0454-5648 核心库438 贵金属1004-0676 扩展库439 国防科技大学学报1001-2486 核心库440 国际口腔医学杂志1673-5749 核心库441 国土资源遥感1001-070X 核心库442 果树学报1009-9980 核心库443 过程工程学报1009-606X 核心库444 哈尔滨工程大学学报1006-7043 核心库445 哈尔滨工业大学学报0367-6234 核心库446 海相油气地质1672-9854 核心库447 海洋测绘1671-3044 扩展库448 海洋地质前沿1009-2722 核心库449 海洋地质与第四纪地质0256-1492 核心库450 海洋工程1005-9865 核心库451 海洋湖沼通报1003-6482 核心库452 海洋环境科学1007-6336 核心库453 海洋科学进展1671-6647 核心库454 海洋通报1001-6392 核心库455 海洋学报0253-4193 核心库456 海洋学研究1001-909X 核心库457 海洋渔业1004-2490 核心库458 海洋与湖沼0029-814X 核心库459 海洋预报1003-0239 扩展库460 含能材料1006-9941 核心库461 焊接学报0253-360X 核心库462 航空兵器1673-5048 扩展库463 航空材料学报1005-5053 核心库464 航空动力学报1000-8055 核心库465 航空工程进展1674-8190 扩展库466 航空学报1000-6893 核心库467 航天返回与遥感1009-8518 核心库468 航天控制1006-3242 扩展库469 航天器工程1673-8748 核心库470 航天医学与医学工程1002-0837 核心库471 河北农业大学学报1000-1573 扩展库472 河海大学学报. 自然科学版1000-1980 核心库473 河南农业大学学报1000-2340 扩展库474 核动力工程0258-0926 核心库475 核化学与放射化学0253-9950 核心库476 核技术0253-3219 核心库477 核聚变与等离子体物理0254-6086 扩展库478 核科学与工程0258-0918 核心库479 核农学报1000-8551 核心库480 红外技术1001-8891 核心库481 红外与毫米波学报1001-9014 核心库482 红外与激光工程1007-2276 核心库483 湖泊科学1003-5427 核心库484 湖南大学学报. 自然科学版1674-2974 核心库485 湖南农业大学学报. 自然科学版1007-1032 核心库486 护理学杂志1001-4152 扩展库487 华北农学报1000-7091 核心库488 华东理工大学学报. 自然科学版1006-3080 扩展库489 华东师范大学学报. 自然科学版1000-5641 扩展库490 华南理工大学学报. 自然科学版1000-565X 核心库491 华南农业大学学报1001-411X 核心库492 华西口腔医学杂志1000-1182 核心库493 华西药学杂志1006-0103 扩展库494 华中科技大学学报. 医学版1672-0741 扩展库495 华中科技大学学报. 自然科学版1671-4512 核心库496 华中农业大学学报1000-2421 核心库497 华中师范大学学报. 自然科学版1000-1190 扩展库498 化工环保1006-1878 扩展库499 化工进展1000-6613 核心库500 化工新型材料1006-3536 扩展库501 化工学报0438-1157 核心库502 化学工程1005-9954 扩展库503 化学工业与工程1004-9533 核心库504 化学进展1005-281X 核心库505 化学世界0367-6358 扩展库506 化学通报0441-3776 扩展库507 化学学报0567-7351 核心库508 化学研究与应用1004-1656 扩展库509 环境工程1000-8942 扩展库510 环境工程学报1673-9108 核心库511 环境化学0254-6108 核心库512 环境监测管理与技术1006-2009 扩展库513 环境科学0250-3301 核心库514 环境科学学报0253-2468 核心库515 环境科学研究1001-6929 核心库516 环境科学与技术1003-6504 核心库517 环境昆虫学报1674-0858 扩展库518 环境污染与防治1001-3865 扩展库519 环境与职业医学2095-9982 核心库520 黄金科学技术1005-2518 扩展库521 火工品1003-1480 扩展库522 火力与指挥控制1002-0640 扩展库523 火灾科学1004-5309 扩展库524 火炸药学报1007-7812 核心库525 机器人1002-0446 核心库526 机械工程材料1000-3738 扩展库527 机械工程学报0577-6686 核心库528 机械科学与技术1003-8728 核心库529 机械强度1001-9669 扩展库530 机械设计1001-2354 扩展库531 机械设计与研究1006-2343 扩展库532 基础医学与临床1001-6325 扩展库533 基因组学与应用生物学1674-568X 核心库534 激光技术1001-3806 扩展库535 激光与光电子学进展1006-4125 核心库536 激光与红外1001-5078 核心库537 吉林大学学报. 地球科学版1671-5888 核心库538 吉林大学学报. 工学版1671-5497 核心库539 吉林大学学报. 医学版1671-587X 扩展库540 吉林农业大学学报1000-5684 扩展库541 极地研究1007-7073 扩展库542 计量学报1000-1158 扩展库543 计算机辅助设计与图形学学报1003-9775 核心库544 计算机工程1000-3428 扩展库545 计算机工程与科学1007-130X 扩展库546 计算机工程与应用1002-8331 扩展库547 计算机集成制造系统1006-5911 核心库548 计算机科学1002-137X 扩展库549 计算机科学与探索1673-9418 核心库550 计算机学报0254-4164 核心库551 计算机研究与发展1000-1239 核心库552 计算机应用1001-9081 扩展库553 计算机应用研究1001-3695 扩展库554 计算力学学报1007-4708 核心库555 计算数学0254-7791 核心库556 计算物理1001-246X 扩展库557 暨南大学学报. 自然科学与医学版1000-9965 扩展库558 建筑材料学报1007-9629 核心库559 建筑钢结构进展1671-9379 扩展库560 建筑结构1002-848X 扩展库561 建筑结构学报1000-6869 核心库562 建筑科学1002-8528 扩展库563 江苏农业学报1000-4440 核心库564 江西农业大学学报1000-2286 核心库565 交通信息与安全1674-4861 扩展库566 交通运输工程学报1671-1637 核心库567 交通运输系统工程与信息1009-6744 核心库568 解放军护理杂志1008-9993 扩展库569 解放军医学杂志0577-7402 核心库570 解剖学报0529-1356 核心库571 介入放射学杂志1008-794X 核心库572 金属热处理0254-6051 核心库573 金属学报0412-1961 核心库574 经济地理1000-8462 核心库575 精细化工1003-5214 核心库576 景观设计学（中英文）2096-336X 核心库577 菌物学报1672-6472 核心库578 康复学报2096-0328 扩展库579 科技促进发展1672-996X 扩展库580 科技导报（北京）1000-7857 核心库581 科学通报0023-074X 核心库582 科学学研究1003-2053 核心库583 科学学与科学技术管理1002-0241 扩展库584 科研管理1000-2995 核心库585 空间结构1006-6578 核心库586 空间科学学报0254-6124 核心库587 空间控制技术与应用1674-1579 核心库588 空军工程大学学报. 自然科学版1009-3516 核心库589 空气动力学学报0258-1825 核心库590 控制工程1671-7848 扩展库591 控制理论与应用1000-8152 核心库592 控制与决策1001-0920 核心库593 矿床地质0258-7106 核心库594 矿物学报1000-4734 核心库595 矿物岩石1001-6872 核心库596 矿物岩石地球化学通报1007-2802 核心库597 矿冶工程0253-6099 扩展库598 昆虫学报0454-6296 核心库599 兰州大学学报. 自然科学版0455-2059 核心库600 雷达学报2095-283X 核心库601 理化检验. B, 化学分册1001-4020 扩展库602 力学季刊0254-0053 扩展库603 力学进展1000-0992 核心库604 力学学报0459-1879 核心库605 量子电子学报1007-5461 扩展库606 林产化学与工业0253-2417 核心库607 林业工程学报2096-1359 扩展库608 林业科学1001-7488 核心库609 林业科学研究1001-1498 核心库610 临床超声医学杂志1008-6978 扩展库611 临床儿科杂志1000-3606 核心库612 临床放射学杂志1001-9324 扩展库613 临床麻醉学杂志1004-5805 扩展库614 临床皮肤科杂志1000-4963 核心库615 临床与实验病理学杂志1001-7399 扩展库616 流体机械1005-0329 核心库617 麦类作物学报1009-1041 核心库618 煤炭科学技术0253-2336 核心库619 煤炭学报0253-9993 核心库620 煤炭转化1004-4248 核心库621 煤田地质与勘探1001-1986 扩展库622 密码学报2095-7025 核心库623 棉花学报1002-7807 核心库624 免疫学杂志1000-8861 核心库625 模式识别与人工智能1003-6059 核心库626 膜科学与技术1007-8924 核心库627 摩擦学学报1004-0595 核心库628 南方电网技术1674-0629 核心库629 南方农业学报2095-1191 扩展库630 南方水产科学2095-0780 核心库631 南方医科大学学报1673-4254 核心库632 南京大学学报. 自然科学版0469-5097 核心库633 南京航空航天大学学报1005-2615 核心库634 南京理工大学学报. 自然科学版1005-9830 扩展库635 南京林业大学学报. 自然科学版1000-2006 核心库636 南京农业大学学报1000-2030 核心库637 南京师大学报. 自然科学版1001-4616 扩展库638 南京医科大学学报. 自然科学版1007-4368 扩展库639 南京中医药大学学报1672-0482 核心库640 南开大学学报. 自然科学版0465-7942 扩展库641 内燃机工程1000-0925 核心库642 内燃机学报1000-0909 核心库643 泥沙研究0468-155X 核心库644 农药1006-0413 扩展库645 农药学学报1008-7303 核心库646 农业工程学报1002-6819 核心库647 农业环境科学学报1672-2043 核心库648 农业机械学报1000-1298 核心库649 农业生物技术学报1674-7968 核心库650 农业现代化研究1000-0275 扩展库651 排灌机械工程学报1674-8530 核心库652 气候变化研究进展1673-1719 核心库653 气候与环境研究1006-9585 核心库654 气象1000-0526 核心库655 气象学报0577-6619 核心库656 汽车安全与节能学报1674-8484 核心库657 汽车工程1000-680X 核心库658 汽车技术1000-3703 扩展库659 器官移植1674-7445 扩展库660 强度与环境1006-3919 扩展库661 强激光与粒子束1001-4322 核心库662 桥梁建设1003-4722 扩展库663 清华大学学报. 自然科学版1000-0054 核心库664 情报学报1000-0135 扩展库665 全球变化数据学报2096-3645 扩展库666 全球定位系统1008-9268 扩展库667 燃料化学学报0253-2409 核心库668 燃烧科学与技术1006-8740 核心库669 热带地理1001-5221 核心库670 热带海洋学报1009-5470 核心库671 热带气象学报1004-4965 扩展库672 热带亚热带植物学报1005-3395 核心库673 热带作物学报1000-2561 核心库674 热固性树脂1002-7432 扩展库675 热科学与技术1671-8097 扩展库676 热能动力工程1001-2060 扩展库677 人类学学报1000-3193 核心库678 日用化学工业1001-1803 扩展库679 软件学报1000-9825 核心库680 润滑与密封0254-0150 扩展库681 色谱1000-8713 核心库682 森林与环境学报2096-0018 扩展库683 厦门大学学报. 自然科学版0438-0479 扩展库684 山地学报1008-2786 核心库685 山东大学学报. 工学版1672-3961 扩展库686 山东大学学报. 理学版1671-9352 核心库687 陕西师范大学学报. 自然科学版1672-4291 扩展库688 上海大学学报. 自然科学版1007-2861 扩展库689 上海海洋大学学报1674-5566 核心库690 上海航天1006-1630 扩展库691 上海交通大学学报1006-2467 核心库692 上海交通大学学报. 医学版1674-8115 核心库693 上海口腔医学1006-7248 扩展库694 上海理工大学学报1007-6735 扩展库695 深圳大学学报. 理工版1000-2618 核心库696 神经解剖学杂志1000-7547 核心库697 沈阳建筑大学学报. 自然科学版2095-1922 扩展库698 沈阳农业大学学报1000-1700 核心库699 沈阳药科大学学报1006-2858 扩展库700 肾脏病与透析肾移植杂志1006-298X 扩展库701 生理学报0371-0874 核心库702 生命的化学1000-1336 扩展库703 生命科学1004-0374 核心库704 生命科学研究1007-7847 扩展库705 生态毒理学报1673-5897 核心库706 生态环境学报1674-5906 核心库707 生态科学1008-8873 扩展库708 生态学报1000-0933 核心库709 生态学杂志1000-4890 核心库710 生态与农村环境学报1673-4831 核心库711 生物安全学报2095-1787 扩展库712 生物多样性1005-0094 核心库713 生物工程学报1000-3061 核心库714 生物化学与生物物理进展1000-3282 核心库715 生物技术通报1002-5464 核心库716 生物学杂志2095-1736 扩展库717 生物医学工程学杂志1001-5515 扩展库718 声学技术1000-3630 扩展库719 声学学报0371-0025 核心库720 湿地科学1672-5948 核心库721 石油地球物理勘探1000-7210 核心库722 石油化工1000-8144 核心库723 石油勘探与开发1000-0747 核心库724 石油炼制与化工1005-2399 扩展库725 石油实验地质1001-6112 核心库726 石油物探1000-1441 核心库727 石油学报0253-2697 核心库728 石油学报. 石油加工1001-8719 核心库729 石油与天然气地质0253-9985 核心库730 石油与天然气化工1007-3426 扩展库731 石油钻探技术1001-0890 扩展库732 时间频率学报1674-0637 扩展库733 时珍国医国药1008-0805 扩展库734 实验力学1001-4888 核心库735 实验流体力学1672-9897 核心库736 实用妇产科杂志1003-6946 核心库737 实用口腔医学杂志1001-3733 核心库738 食品科学1002-6630 扩展库739 食品科学技术学报2095-6002 扩展库740 食品与发酵工业0253-990X 核心库741 食品与生物技术学报1673-1689 核心库742 食用菌学报1005-9873 扩展库743 世界地震工程1007-6069 扩展库744 世界科技研究与发展1006-6055 扩展库745 世界科学技术：中医药现代化1674-3849 扩展库746 世界林业研究1001-4241 扩展库747 兽类学报1000-1050 扩展库748 数据采集与处理1004-9037 扩展库749 数据分析与知识发现2096-3467 扩展库750 数量经济技术经济研究1000-3894 扩展库751 数学进展1000-0917 扩展库752 数学年刊. A辑1000-8314 核心库753 数学物理学报. A辑1003-3998 扩展库754 数学学报0583-1431 核心库755 水产科学1003-1111 扩展库756 水产学报1000-0615 核心库757 水处理技术1000-3770 扩展库758 水动力学研究与进展. A辑1000-4874 核心库759 水科学进展1001-6791 核心库760 水力发电学报1003-1243 核心库761 水利水电科技进展1006-7647 扩展库762 水利水运工程学报1009-640X 扩展库763 水利学报0559-9350 核心库764 水生生物学报1000-3207 核心库765 水生态学杂志1674-3075 核心库766 水土保持通报1000-288X 扩展库767 水土保持学报1009-2242 核心库768 水土保持研究1005-3409 扩展库769 水文1000-0852 核心库770 水文地质工程地质1000-3665 核心库771 水资源保护1004-6933 扩展库772 水资源与水工程学报1672-643X 核心库773 丝绸1001-7003 扩展库774 四川大学学报. 医学版1672-173X 核心库775 四川大学学报. 自然科学版0490-6756 扩展库776 四川农业大学学报1000-2650 扩展库777 塑料1001-9456 核心库778 塑料工业1005-5770 核心库779 塑性工程学报1007-2012 核心库780 太阳能学报0254-0096 核心库781 探测与控制学报1008-1194 扩展库782 特种油气藏1006-6535 核心库783 天津大学学报. 自然科学与工程技术版0493-2137 核心库784 天然产物研究与开发1001-6880 核心库785 天然气地球科学1672-1926 核心库786 天然气工业1000-0976 核心库787 天然气化工. C1化学与化工1001-9219 扩展库788 天文学报0001-5245 核心库789 天文学进展1000-8349 核心库790 天文研究与技术1672-7673 核心库791 铁道科学与工程学报1672-7029 核心库792 铁道学报1001-8360 核心库793 听力学及言语疾病杂志1006-7299 核心库794 通信学报1000-436X 核心库795 同济大学学报. 自然科学版0253-374X 核心库796 图学学报2095-302X 扩展库797 涂料工业0253-4312 扩展库798 土木工程学报1000-131X 核心库799 土木建筑与环境工程1674-4764 核心库800 土壤0253-9829 核心库801 土壤通报0564-3945 核心库802 土壤学报0564-3929 核心库803 推进技术1001-4055 核心库804 微波学报1005-6122 扩展库805 微生物学报0001-6209 核心库806 微生物学通报0253-2654 核心库807 微生物学杂志1005-7021 扩展库808 微体古生物学报1000-0674 核心库809 卫生研究1000-8020 核心库810 无机材料学报1000-324X 核心库811 无机化学学报1001-4861 核心库812 无机盐工业1006-4990 扩展库813 武汉大学学报. 工学版1671-8844 核心库814 武汉大学学报. 理学版1671-8836 核心库815 武汉大学学报. 信息科学版1671-8860 核心库816 物理化学学报1000-6818 核心库817 物理学报1000-3290 核心库818 物理学进展1000-0542 核心库。