<i><span style="font-family:Verdana;">Hypericum monogynum</span></i><span style="font-family:""><span style="font-family:Verdana;"> L. is an impor...<i><span style="font-family:Verdana;">Hypericum monogynum</span></i><span style="font-family:""><span style="font-family:Verdana;"> L. is an important medicinal and ornamental plant which belongs to the genus </span><i><span style="font-family:Verdana;">Hypericum</span></i><span style="font-family:Verdana;"> in the Guttiferae family. The partial chloroplast genome sequence of </span><i><span style="font-family:Verdana;">H. monogynum</span></i><span style="font-family:Verdana;"> has been presented in this study. The assembled partial chloroplast genome (cpDNA) was 120,005 bp in size, with an overall 36.96% GC content. It is 70 genes that are included in the chloroplast genome of </span><i><span style="font-family:Verdana;">Hypericum monogynum</span></i><span style="font-family:Verdana;"> in this study, which are consisted of 33 protein-coding genes, 30 transfer RNA genes, as well as 7 ribosomal RNA genes. Phylogenetic analysis with the reported chloroplast genomes revealed that </span><i><span style="font-family:Verdana;">Hypericum monogynum</span></i><span style="font-family:Verdana;"> is separated to other species in Guttiferae family, and it might well function as an external group of Guttiferae family.展开更多
[Objectives]We intend to conduct a study to predict habitat suitability and geographic distribution of Rubia cordifolia L.,to find the most suitable ecological environment for its growth,and to provide a theoretical b...[Objectives]We intend to conduct a study to predict habitat suitability and geographic distribution of Rubia cordifolia L.,to find the most suitable ecological environment for its growth,and to provide a theoretical basis for the development and cultivation of R.cordifolia L.industry.[Methods]Based on the environmental factors and the occurrence data,we predicted the potential geographic distribution of R.cordifolia L.in China by combining the MaxEnt model and ArcGIS.[Results]The training set and test set AUC were respectively 0.963 and 0.946,indicating that the MaxEnt model predicted well.The wettest monthly precipitation,precipitation in July,precipitation of driest season,and average monthly temperature in September and April were the dominant environmental factors affecting the distribution of R.cordifolia L.The highly habitable areas were mainly concentrated in central,eastern and northern China.[Conclusions]The results of this study can be used as a reference for the development of R.cordifolia L.industry in related areas.展开更多
文摘<i><span style="font-family:Verdana;">Hypericum monogynum</span></i><span style="font-family:""><span style="font-family:Verdana;"> L. is an important medicinal and ornamental plant which belongs to the genus </span><i><span style="font-family:Verdana;">Hypericum</span></i><span style="font-family:Verdana;"> in the Guttiferae family. The partial chloroplast genome sequence of </span><i><span style="font-family:Verdana;">H. monogynum</span></i><span style="font-family:Verdana;"> has been presented in this study. The assembled partial chloroplast genome (cpDNA) was 120,005 bp in size, with an overall 36.96% GC content. It is 70 genes that are included in the chloroplast genome of </span><i><span style="font-family:Verdana;">Hypericum monogynum</span></i><span style="font-family:Verdana;"> in this study, which are consisted of 33 protein-coding genes, 30 transfer RNA genes, as well as 7 ribosomal RNA genes. Phylogenetic analysis with the reported chloroplast genomes revealed that </span><i><span style="font-family:Verdana;">Hypericum monogynum</span></i><span style="font-family:Verdana;"> is separated to other species in Guttiferae family, and it might well function as an external group of Guttiferae family.
文摘[Objectives]We intend to conduct a study to predict habitat suitability and geographic distribution of Rubia cordifolia L.,to find the most suitable ecological environment for its growth,and to provide a theoretical basis for the development and cultivation of R.cordifolia L.industry.[Methods]Based on the environmental factors and the occurrence data,we predicted the potential geographic distribution of R.cordifolia L.in China by combining the MaxEnt model and ArcGIS.[Results]The training set and test set AUC were respectively 0.963 and 0.946,indicating that the MaxEnt model predicted well.The wettest monthly precipitation,precipitation in July,precipitation of driest season,and average monthly temperature in September and April were the dominant environmental factors affecting the distribution of R.cordifolia L.The highly habitable areas were mainly concentrated in central,eastern and northern China.[Conclusions]The results of this study can be used as a reference for the development of R.cordifolia L.industry in related areas.