Evidence map›Paper›PMID 30707722›Full record

ArticlePloS one2019

Genetic diversity and population structure of Miscanthus lutarioriparius, an endemic plant of China.

Sai Yang, Shuai Xue, Weiwei Kang, Zhuxi Qian, Zili Yi

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

11 citing papers in PubMed.

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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

5 authors.

Sai YangCollege of Bioscience & Biotechnology, Hunan Agricultural University, Changsha, Hunan, China.
Shuai XueCollege of Bioscience & Biotechnology, Hunan Agricultural University, Changsha, Hunan, China.
Weiwei KangCollege of Bioscience & Biotechnology, Hunan Agricultural University, Changsha, Hunan, China.
Zhuxi QianOrient Science & Technology College of Hunan Agricultural University, Changsha, Hunan, China.
Zili YiCollege of Bioscience & Biotechnology, Hunan Agricultural University, Changsha, Hunan, China.ORCID 0000-0003-0501-9467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Miscanthus lutarioriparius is a native perennial Miscanthus species of China, which is currently used as raw material of papermaking and bioenergy crop. It also has been considered as a promising eco-bioindustrial plant, which can offer raw material and gene for the biomass industry. However, lack of germplasm resources and genetic diversity information of M. lutarioriparius have become the bottleneck that prevents the stable and further development of the biomass industry. In the present study, genetic diversity of 153 M. lutarioriparius individuals nine populations was studied using 27 Start Codon Targeted (SCoT) markers. High polymorphic bands (97.67%), polymorphic information content (0.26) and allele number (1.88) showed SCoT as a reliable marker system for genetic analysis in M. lutarioriparius. At the species, the percentage of polymorphic loci [PPL] was 97.2%, Nei's gene diversity [H] was 0.36, Shannon index [I] was 0.54 and Expected Heterozygosity [He] was 0.56. Genetic variation within populations (84.91%) was higher than among populations (15.09%) based on analysis of molecular variance (AMOVA). Moderate level of genetic differentiation was found in M. lutarioriparius populations (Fst = 0.15), which is further confirmed by STRUCTURE, principal coordinates analysis (PCoA) and an unweighted pair group method with arithmetic mean (UPGMA) analysis that could reveal a clear separation between groups of the north and south of Yangtze River. The gene flow of the populations within the respective south and north of Yangtze River area was higher, but lower between the areas. There was no obvious correlation between genetic distance and geographic distance. The breeding systems, geographical isolation and fragmented habitat of M. lutarioriparius may be due to the high level of genetic diversity, moderate genetic differentiation, and the population, structure. The study further suggests some measure for conservation of genetic resources and provides the genetic basis for improving the efficiency of breeding based on the results of diversity analysis.

Indexed as

Genetic VariationBayes TheoremChinaCluster AnalysisDNA, PlantGene FlowMicrosatellite RepeatsPoaceaePolymorphism, GeneticPrincipal Component AnalysisDNA, Plant

Identifiers

PMID30707722
PMCPMC6358086

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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.