Core competitiveness of medical colleges and universities refers to their unique advantages and abilities in teaching,research and serving society compared to other colleges.As an important part of core competitiveness of medical colleges,teachers'teaching ability directly affects students'learning effect and quality training,and also relates to overall promotion process of core com-petitiveness of medical colleges.From perspective of core competitiveness of medical colleges,this paper analyzes and combs develop-ment of teachers'teaching ability from theoretical definition of core competitiveness of medical colleges,finds bottleneck of improving teachers'teaching ability,and puts forward suggestions for improving teachers'teaching ability in medical colleges,so as to improve teachers'teaching ability in medical colleges.

Core competitiveness of medical colleges and universities refers to their unique advantages and abilities in teaching,research and serving society compared to other colleges.As an important part of core competitiveness of medical colleges,teachers'teaching ability directly affects students'learning effect and quality training,and also relates to overall promotion process of core com-petitiveness of medical colleges.From perspective of core competitiveness of medical colleges,this paper analyzes and combs develop-ment of teachers'teaching ability from theoretical definition of core competitiveness of medical colleges,finds bottleneck of improving teachers'teaching ability,and puts forward suggestions for improving teachers'teaching ability in medical colleges,so as to improve teachers'teaching ability in medical colleges.

Objective:To explore genetic relationship and population structure of Turpinia arguta in six locations of Jiangxi province by inter-simple sequence repeat （ISSR） molecular marker technique， and to provide theoretical basis for the protection and utilization of this medicinal material resource. Method:A total of 22 samples from six locations in four counties in Jiangxi province were collected， and genomic DNA was extracted by kit method. Polymerase chain reaction （PCR） amplification was performed using sixty-four universal ISSR molecular marker primers， and the products were detected with polyacrylamide gel electrophoresis （PAGE）. NTsys 2.10e software was selected to calculate the genetic similarity coefficient by unweighted pair group method with arithmetic mean （UPGMA） and cluster analysis. Population genetic structure was analyzed by Structure 2.1 software. Result:A total of forty-eight ISSR primers were amplified to obtain the product， the percent of polymorphic bands ranged from 45.45% to 100%. UPGMA cluster analysis showed that these plant individuals could not be clustered according to their respective executive locations. Analysis of population genetic structure showed that 22 samples of T. arguta could be divided into three populations. Conclusion:There is gene exchange among the populations of T. arguta in Jiangxi province， and it can affect the genetic structure of germplasm resources from different geographical sources.