利用双向指示种(TWINSPAN)分类技术将黄河三角洲湿地草本植被划分为7个群落类型,然后应用双变量主坐标分析(double principal coordinate analysis,DPCoA)法对其进行排序,结果表明:在物种组成上,芦苇+盐地碱蓬群落为芦苇群落和盐地碱蓬...利用双向指示种(TWINSPAN)分类技术将黄河三角洲湿地草本植被划分为7个群落类型,然后应用双变量主坐标分析(double principal coordinate analysis,DPCoA)法对其进行排序,结果表明:在物种组成上,芦苇+盐地碱蓬群落为芦苇群落和盐地碱蓬+芦苇群落、盐地碱蓬群落、盐地碱蓬+补血草+碱蓬群落、补血草群落的过渡类型,而芦苇+穗状狐尾藻群落与其他群落类型差异较大;黄河三角洲湿地草本植被的分布主要与土壤因子中的土壤盐分、土壤pH等紧密相关,而与土壤全磷、全氮、有机质等养分无显著相关关系。将DPCoA和其他一些常用的植被排序方法进行了比较,相对于主分量分析(PCA)和除趋势对应分析(DCA)而言,DPCoA信息保留量更高,能够将物种组成和类别上较为接近的植物群落聚集在一起,而将差异较大的植物群落在排序图中分散开来,在揭示群落间相互关系以及植被与环境之间关系上可能更为有效。展开更多
To find the quantitative trait loci associated with wood density in teak(Tectona grandis L.f.), 21 co-dominant markers including 13 site specific recombinase and 8 EST-based co-dominant markers designed from lignin bi...To find the quantitative trait loci associated with wood density in teak(Tectona grandis L.f.), 21 co-dominant markers including 13 site specific recombinase and 8 EST-based co-dominant markers designed from lignin biosynthesis genes were applied to 174 teak plus tree clones at the National Germplasm Bank, Chandrapur,India. The germplasm bank exhibited 10.6% coefficient of variation for wood densities with 84.5 ± 31.3 genetic polymorphism(%). The highly panmictic set of genotypes(FST= 0.035 ± 0.004) harbored 96.47 ± 0.40 genetic variability(%). The average allelic frequency of the 21 codominant markers was 0.65 ± 0.11 with 12.9% pairs of loci in significant LD(p\0.05, R^2 values [ 0.1), confirming their suitability for a strong marker-trait association study. The marker CCoAMT-1 was significantly(p\0.01) associated with wood density showing stability by both GLM and MLM models and explained 4.3% of the phenotypic effect. The marker from the EST representing CCoAMT can be further developed for gene-assisted selection of elite genotypes of teak with greater wood density. Therefore, we believe that the report will help accelerate the genetic improvement and advance the breeding program of the species.展开更多
The discharge of acid mine drainage from abandoned high sulfur(S)coal mines has caused serious pollution in the Shandi River,Yangquan,Shanxi Province.To determine the impact of long-term acid mine drainage on the micr...The discharge of acid mine drainage from abandoned high sulfur(S)coal mines has caused serious pollution in the Shandi River,Yangquan,Shanxi Province.To determine the impact of long-term acid mine drainage on the microorganisms in the river,we collected river sediments from a polluted tributary(Group P)and the mainstream of Shandi River(Group R)to study the bacterial diversity and community composition.The results showed that the tributary was seriously polluted by acid drainage from abandoned coal mines,with the pH value of the sediment being<2.5,resulting in the low bacterial richness and diversity of the tributary samples.Acidophillic Fe-and S-metabolizing bacteria,such as Metallibacterium,Acidiphilium,and Acidithiobacillus,were the dominant genera in Group P samples,while the Group R was dominated by the neutral anaerobic iron-reducing bacteria Geothrix and Geobacter.Results of principal co-ordinates analysis(PCoA)revealed that the bacterial communities are significantly different between groups P and R,and the significant different species were mainly attributed to phylum Proteobacteria,Actinobacteria,and Acidobacteria.The distribution of the microbial community is mainly influenced by pH,and the Fe and Cd concentrations.Metallicactrium,the dominant genus,is negatively correlated with pH(R^(2)=-0.95)and positively correlated with Fe(R^(2)=0.99),while Geothrix and Geobacter,are mainly affected by the heavy metals.This study determined the impact of river pollution caused by abandoned coal mine drainage,especially on the microbial diversity and community composition within the river sediment.展开更多
文摘利用双向指示种(TWINSPAN)分类技术将黄河三角洲湿地草本植被划分为7个群落类型,然后应用双变量主坐标分析(double principal coordinate analysis,DPCoA)法对其进行排序,结果表明:在物种组成上,芦苇+盐地碱蓬群落为芦苇群落和盐地碱蓬+芦苇群落、盐地碱蓬群落、盐地碱蓬+补血草+碱蓬群落、补血草群落的过渡类型,而芦苇+穗状狐尾藻群落与其他群落类型差异较大;黄河三角洲湿地草本植被的分布主要与土壤因子中的土壤盐分、土壤pH等紧密相关,而与土壤全磷、全氮、有机质等养分无显著相关关系。将DPCoA和其他一些常用的植被排序方法进行了比较,相对于主分量分析(PCA)和除趋势对应分析(DCA)而言,DPCoA信息保留量更高,能够将物种组成和类别上较为接近的植物群落聚集在一起,而将差异较大的植物群落在排序图中分散开来,在揭示群落间相互关系以及植被与环境之间关系上可能更为有效。
基金partially funded in the form of Senior Research Fellowship(vide No.09/1164(0001)/2016-EMR-I)awarded to the first author(Vivek Vaishnav)by Government of India Council of Scientific and Industrial Research,New Delhi,which is gratefully acknowledged
文摘To find the quantitative trait loci associated with wood density in teak(Tectona grandis L.f.), 21 co-dominant markers including 13 site specific recombinase and 8 EST-based co-dominant markers designed from lignin biosynthesis genes were applied to 174 teak plus tree clones at the National Germplasm Bank, Chandrapur,India. The germplasm bank exhibited 10.6% coefficient of variation for wood densities with 84.5 ± 31.3 genetic polymorphism(%). The highly panmictic set of genotypes(FST= 0.035 ± 0.004) harbored 96.47 ± 0.40 genetic variability(%). The average allelic frequency of the 21 codominant markers was 0.65 ± 0.11 with 12.9% pairs of loci in significant LD(p\0.05, R^2 values [ 0.1), confirming their suitability for a strong marker-trait association study. The marker CCoAMT-1 was significantly(p\0.01) associated with wood density showing stability by both GLM and MLM models and explained 4.3% of the phenotypic effect. The marker from the EST representing CCoAMT can be further developed for gene-assisted selection of elite genotypes of teak with greater wood density. Therefore, we believe that the report will help accelerate the genetic improvement and advance the breeding program of the species.
基金the National Natural Science Foundation of China(No.41977159).
文摘The discharge of acid mine drainage from abandoned high sulfur(S)coal mines has caused serious pollution in the Shandi River,Yangquan,Shanxi Province.To determine the impact of long-term acid mine drainage on the microorganisms in the river,we collected river sediments from a polluted tributary(Group P)and the mainstream of Shandi River(Group R)to study the bacterial diversity and community composition.The results showed that the tributary was seriously polluted by acid drainage from abandoned coal mines,with the pH value of the sediment being<2.5,resulting in the low bacterial richness and diversity of the tributary samples.Acidophillic Fe-and S-metabolizing bacteria,such as Metallibacterium,Acidiphilium,and Acidithiobacillus,were the dominant genera in Group P samples,while the Group R was dominated by the neutral anaerobic iron-reducing bacteria Geothrix and Geobacter.Results of principal co-ordinates analysis(PCoA)revealed that the bacterial communities are significantly different between groups P and R,and the significant different species were mainly attributed to phylum Proteobacteria,Actinobacteria,and Acidobacteria.The distribution of the microbial community is mainly influenced by pH,and the Fe and Cd concentrations.Metallicactrium,the dominant genus,is negatively correlated with pH(R^(2)=-0.95)and positively correlated with Fe(R^(2)=0.99),while Geothrix and Geobacter,are mainly affected by the heavy metals.This study determined the impact of river pollution caused by abandoned coal mine drainage,especially on the microbial diversity and community composition within the river sediment.
