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Genetic diversity and structure of the endemic and endangered species Aristolochia delavayi growing along the Jinsha River

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Plant Diversity 2021年第3期43卷 225-233页

作者： Yu-Long Yu Hui-Chun Wang Zhi-Xiang Yu Johann Schinnerl Rong Tang Yu-Peng Geng Gao Chen School of Ecology and Environmental Science Yunnan UniversityKunming650091China Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations Kunming Institute of BotanyChinese Academy of SciencesKunming650201China University of Chinese Academy of Sciences Beijing100049China sichuan panzhihua cycas national nature reserver bureau Panzhihua617000China Department of Botany and Biodiversity Research University of ViennaRennweg 14A-1030ViennaAustria CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming650201China

The traditional medicinal plant,and endangered species Aristolochia delavayi(Aristolochiaceae)is an endemic species in China and occurs in the warm and dry areas along the Jinsha river.It is also a specific host of the larvae of Byasa daemonius,a vulnerable butterfly.In this study,15 pairs of polymorphic microsatellite primers of A.delavayi were designed and screened based on the Simple Sequence Repeats(SSR)loci found by using the results of genome skimming.Based on these 15 SSR markers,the genetic diversity and structure of 193 individuals from ten natural populations were analyzed in detail.In comparison to other endemic and endangered plants in the region,the population of A.delavayi possess a relatively high genetic diversity(He=0.550,I=1.112).AMOVA analysis showed that 68.4%of the total genetic diversity was within populations and 31.6%of the variation occurred among populations.There was a significant genetic differentiation among natural populations of A.delavayi detectable,with low gene flow(Nm=0.591).This might be attributed to geographical barriers and limited seed dispersal.To test the isolation by distance(IBD),we performed Mantel test,which showed a significant correlation between the geographic and genetic distances.In order to cope with the possible biases caused by IBD,we additionally performed Bayesian genetic cluster analyses and principal coordinate analysis(PCoA).The final cluster analysis revealed three groups with distinct geographical distribution.Habitat fragmentation and limited gene flow between these populations may be the main reasons for the current genetic structure.For conservation of this species,we suggest to divide its populations into three protection management units,with subsequent focus on the Yongsheng and Luquan populations which experienced a genetic bottleneck event in the past.

关键词： Aristolochia delavayi Conservation biology Genetic diversity Genetic structure Microsatellites Genome skimming

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Characterization of summer PM_(2.5) aerosols from four forest areas in sichuan,SW China

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Particuology 2015年第3期13卷 94-103页

作者： Hengqin Mo Li Li Wei Lai Min Zhao Jinguo Pu Yi Zhou Shihuai Deng Rural Environment Protection Engineering & Technology Center of sichuan Province College of Resources and EnvironmentSichuan Agricultural University Meishan Environmental Monitoring Center

Aerosol samples were collected over 24 and 12 h to represent day/night aerosol characteristics in forest areas at Ya＇an Baima Spring Scenic Area （BM）, panzhihua cycas national nature Reserve （PZ）, Gongga Mountain national nature Reserve （GG）, and Wolong national nature Reserve （WL）, during the summers of 2010-2012. Mass and chemical component concentrations, including organic carbon, elemental car- bon, and inorganic ions （F , C1 , NO2-, NO3-, SO42-, C2042-, PO43-, K＋, Na＋, Ca2＋, Mg2＋, and NH4＋）, of PM2.5 aerosols were measured. The average PM2.5 concentrations for 24 h were 72.42, 104.89, 20.55, and 29.19 p,g/m3 at BM, PZ, GG, and WL, respectively. Organic matter accounted for 38.0-49.3%, while ele- mental carbon accounted for 2.0-5.7% of PM2.s mass. The sum concentrations of 5042-, NH4＋, and NO3- accounted for 23.0%, 17.4%, 22.1%, and 30.5% of PM2.s mass at BM, PZ, GG, and WL, respectively. Soil dust was also an important source of PM2.s, accounting for 6.3%, 17.0%, 10.4%, and 19.1% of PM2.s mass at BM, PZ, GG, and WL, respectively. These reconstructed masses accounted for 75.9-102.0% of PM2.5 mass from the four forest areas of SW China.

关键词： PM2.5Forest areasMass closureSouthwest China

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