基于SCoT分子标记的20份阿布乌种质资源遗传多样性分析

IF 0.6 4区 环境科学与生态学 Q4 ECOLOGY
Y. PENG, F. HAYAT, J. LI, J.Q. XIAO, P.F. TU, J.Z. CHEN, C.Q. LI, W.P. SONG, W.S. XUAN
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GENETIC DIVERSITY ANALYSIS OF 20 ABIU GERMPLASM BASED ON SCoT MOLECULAR MARKERS
. Abiu is a new, excellent, and rare fruit. The genetic diversity of 20 Abiu germplasm resources was determined using SCoT molecular marker technology. A total of 361 bands were amplified using 24 selected primers, including 309 polymorphic bands, with an average polymorphism ratio (PPB) of 85.60%. The number of alleles ( Na ) in the population was 1.9501, number of effective alleles ( Ne ) was 1.4659, gene diversity index ( H ) was 0.2806, and Shannon diversity index ( I ) was 0.4314, indicating high genetic diversity among the materials. The results of cluster analysis showed that the inter-specific genetic coefficient of 20 varieties of Abiu was between 0.53-0.76, and the results of principal component analysis were consistent with those of cluster analysis. The analysis of the population structure revealed that the 20 Abiu samples could be categorized into seven distinct groups. Of all the tested materials, 14 samples had diverse genetic backgrounds and complex genetic compositions, accounting for 70% of the tested materials, suggesting that the population genetics of the 20 samples had a rich genetic basis and complex and diverse sources. SCoT, which is an effective molecular marker, can be used to analyze the genetic diversity of the germplasm resources of Abiu. This study will be useful for the identification, collection, classification, protection, and evaluation of Abiu germplasm resources.
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来源期刊
Applied Ecology and Environmental Research
Applied Ecology and Environmental Research ECOLOGY-ENVIRONMENTAL SCIENCES
CiteScore
1.40
自引率
14.30%
发文量
104
审稿时长
14 months
期刊介绍: The Journal publishes original research papers and review articles. Researchers from all countries are invited to publish pure or applied ecological, environmental, biogeographical, zoological, botanical, paleontological, biometrical-biomathematical and quantitative ecological or multidisciplinary agricultural research of international interest on its pages. The focus is on topics such as: -Community, ecosystem and global ecology- Biometrics, theoretical- and quantitative ecology- Multidisciplinary agricultural and environmental research- Sustainable and organic agriculture, natural resource management- Ecological methodology, monitoring and modeling- Biodiversity and ecosystem research, microbiology, botany and zoology- Biostatistics and modeling in epidemiology, public health and veterinary- Earth history, paleontology, extinctions, biogeography, biogeochemistry- Conservation biology, environmental protection- Ecological economics, natural capital and ecosystem services- Climatology, meteorology, climate change, climate-ecology. The Journal publishes theoretical papers as well as application-oriented contributions and practical case studies. There is no bias with regard to taxon or geographical area. Purely descriptive papers (like only taxonomic lists) will not be accepted for publication.
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