Evidence map›Paper›PMID 39405284›Full record

ArticlePloS one2024

Variation in SSRs at different genomic regions and implications for the evolution and identification of Armillaria gallica.

Shengnan Li, Jiao Xu, Yipu Hu, Xiaohong Ou, Qingsong Yuan, Pengfei Li, Weike Jiang, Lanping Guo, Tao Zhou

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

9 authors.

Shengnan LiGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Jiao XuGuizhou University of Traditional Chinese Medicine, Guiyang, China.ORCID 0000-0002-1690-6160
Yipu HuGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Xiaohong OuGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Qingsong YuanGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Pengfei LiGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Weike JiangGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Lanping GuoNational Resource Center for Chinese Materia Medica, State Key Laboratory Breeding Base of Dao-di Herbs, China Academy of Chinese Medical Sciences, Beijing, China.
Tao ZhouGuizhou University of Traditional Chinese Medicine, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Armillaria spp. are devastating forest pathogens. Due to its low pathogenicity and abundant genetic variation, Armillaria gallica exhibited a unique and beneficial symbiosis with Gastrodia elata, which was used as a traditional Chinese medicine. However, the variation and population structure of A. gallica populations have rarely been investigated. Hence, we analyzed the evolution and variation in simple sequence repeats (SSRs) in three Armillaria genomes: A. gallica, A. cepistipes, and A. ostoyae to assess the genetic diversity and population structure of 14 A. gallica strains. Genome analysis revealed that SSRs were more abundant in the intergenic region than the intron and exon region, as was the SSR density. Compared with other two genomes, SSR density was the lowest in exon region and largest in the intron region of A. gallica, with significant variation in genic region. There were 17 polymorphic markers in A. gallica genome was identified, with 26.7% in genic region, which is higher than that of 18.8% in the intergenic region. Moreover, a total of 50 alleles and 42 polymorphic loci were detected among these A. gallica strains. The averaged polymorphism information content (PIC) was 0.4487, ranged from 0.2577 to 0.6786. Both principal coordinate analysis (PCoA) and population structure analyses based on the genotype data of SSRs divided the strains into two clusters. The cluster I included all the strains from high-altitude G. elata producing areas and some low-altitude areas, while the strains in Cluster II originated from low-altitude G. elata producing areas. These results indicated that substantial genome-specific variation in SSRs within the genic region of A. gallica and provide new insights for further studies on the evolution and breeding of A. gallica.

Indexed as

ArmillariaMicrosatellite RepeatsEvolution, MolecularGenetic VariationGenome, PlantPhylogenyPolymorphism, Genetic

Identifiers

PMID39405284
PMCPMC11478824

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