Evidence map›Paper›PMID 24520347›Full record

ArticlePloS one2014

Genetic diversity and population structure of the major peanut (Arachis hypogaea L.) cultivars grown in China by SSR markers.

Xiaoping Ren, Huifang Jiang, Zhongyuan Yan, Yuning Chen, Xiaojing Zhou, Li Huang, Yong Lei, Jiaquan Huang, Liying Yan, Yue Qi and 2 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  10. Genetic diversity and population structure of groundnut (Genetic resources and crop evolution · 2021
    Article
  11. Article
  12. Article
  13. Molecular and phenotypic diversity of groundnut (Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Xiaoping RenKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Huifang JiangKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Zhongyuan YanKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Yuning ChenKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Xiaojing ZhouKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Li HuangKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Yong LeiKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Jiaquan HuangKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Liying YanKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Yue QiNational Facility for Training Personnel in Life Sciences and Biotechnology, College of Life Sciences, Wuhan University, Wuhan, Hubei, China.
Wenhui WeiKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.
Boshou LiaoKey Laboratory of the Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture/Oil Crop Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One hundred and forty-six highly polymorphic simple sequence repeat (SSR) markers were used to assess the genetic diversity and population structure of 196 peanut (Arachis Hypogaea L.) cultivars which had been extensively planted in different regions in China. These SSR markers amplified 440 polymorphic bands with an average of 2.99, and the average gene diversity index was 0.11. Eighty-six rare alleles with a frequency of less than 1% were identified in these cultivars. The largest Fst or genetic distance was found between the cultivars that adapted to the south regions and those to the north regions in China. A neighbor-joining tree of cultivars adapted to different ecological regions was constructed based on pairwise Nei's genetic distances, which showed a significant difference between cultivars from the south and the north regions. A model-based population structure analysis divided these peanut cultivars into five subpopulations (P1a, P1b, P2, P3a and P3b). P1a and P1b included most the cultivars from the southern provinces including Guangdong, Guangxi and Fujian. P2 population consisted of the cultivars from Hubei province and parts from Shandong and Henan. P3a and P3b had cultivars from the northern provinces including Shandong, Anhui, Henan, Hebei, Jiangsu and the Yangtze River region including Sichuan province. The cluster analysis, PCoA and PCA based on the marker genotypes, revealed five distinct clusters for the entire population that were related to their germplasm regions. The results indicated that there were obvious genetic variations between cultivars from the south and the north, and there were distinct genetic differentiation among individual cultivars from the south and the north. Taken together, these results provided a molecular basis for understanding genetic diversity of Chinese peanut cultivars.

Indexed as

Genetic VariationAllelesArachisChinaGenetic MarkersGenotypeMicrosatellite RepeatsPhylogenyPrincipal Component AnalysisProbabilitySoftwareGenetic Markers

Identifiers

PMID24520347
PMCPMC3919752

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.