Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Feb 18:7:e6419.
doi: 10.7717/peerj.6419. eCollection 2019.

Analysis of the genetic diversity and population structure of Salix psammophila based on phenotypic traits and simple sequence repeat markers

Affiliations

Analysis of the genetic diversity and population structure of Salix psammophila based on phenotypic traits and simple sequence repeat markers

Lei Hao et al. PeerJ. .

Abstract

Salix psammophila (desert willow) is a shrub endemic to the Kubuqi Desert and the Mu Us Desert, China, that plays an important role in maintaining local ecosystems and can be used as a biomass feedstock for biofuels and bioenergy. However, the lack of information on phenotypic traits and molecular markers for this species limits the study of genetic diversity and population structure. In this study, nine phenotypic traits were analyzed to assess the morphological diversity and variation. The mean coefficient of variation of 17 populations ranged from 18.35% (branch angle (BA)) to 38.52% (leaf area (LA)). Unweighted pair-group method with arithmetic mean analysis of nine phenotypic traits of S. psammophila showed the same results, with the 17 populations clustering into five groups. We selected 491 genets of the 17 populations to analyze genetic diversity and population structure based on simple sequence repeat (SSR) markers. Analysis of molecular variance (AMOVA) revealed that most of the genetic variance (95%) was within populations, whereas only a small portion (5%) was among populations. Moreover, using the animal model with SSR-based relatedness estimated of S. psammophila, we found relatively moderate heritability values for phenotypic traits, suggesting that most of trait variation were caused by environmental or developmental variation. Principal coordinate and phylogenetic analyses based on SSR data revealed that populations P1, P2, P9, P16, and P17 were separated from the others. The results showed that the marginal populations located in the northeastern and southwestern had lower genetic diversity, which may be related to the direction of wind. These results provide a theoretical basis for germplasm management and genetic improvement of desert willow.

Keywords: Genetic diversity; Phenotypic traits; SSR; Salix psammophila; Structure genetics.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1. Locations of the 17 S. psammophila populations.
Figure 2
Figure 2. Hierarchical clustering dendrogram of 491 S. psammophila genets based on seven phenotypic traits.
Figure 3
Figure 3. UPGMA dendrogram of 17 S. psammophila populations based on seven phenotypic traits.
The gradual change of red to blue indicates that the average value of each phenotypic trait in the population is standardized range from 3.09 to −2.09.
Figure 4
Figure 4. Neighbor-joining phylogenetic tree of 491 genets of S. psammophila based on SSR data.
Figure 5
Figure 5. Neighbor-joining phylogenetic tree of 17 populations of S. psammophila based on SSR data.
Figure 6
Figure 6. PCoA analyses based on SSR data for 491 genets from 17 S. psammophila populations.
The 491 genets are labeled with different colors according to the population to which they belong.
Figure 7
Figure 7. Population genetic structure of 491 genets from 17 populations of S. psammophila (2 ≤ K ≤ 5).
(A) K = 2, (B) K = 3, (C) K = 4, (D) K = 5.

Similar articles

Cited by

References

    1. Bao Y, Zhang G. Study of adsorption characteristics of methylene blue onto activated carbon made by Salix Psammophila. Energy Procedia. 2012;16:1141–1146. doi: 10.1016/j.egypro.2012.01.182. - DOI
    1. Barker JHA, Pahlich A, Trybush S, Edwards KJ, Karp A. Microsatellite markers for diverse Salix species. Molecular Ecology Resources. 2010;3(1):4–6. doi: 10.1046/j.1471-8286.2003.00332.x. - DOI
    1. Bates D, Maechler M, Bolker B, Walker S. lme4: linear mixed effects models using eigen and S4. R package version 1.0-6http://CRAN.R-project.org/package=lme4 2014
    1. Berlin S, Trybush SO, Fogelqvist J, Gyllenstrand N, Hallingbäck HR, Åhman I, Nordh NE, Shield I, Powers SJ, Weih M, Lagercrantz U, Rönnberg-Wästljung AC, Karp A, Hanley SJ. Genetic diversity, population structure and phenotypic variation in European Salix viminalis L. (Salicaceae) Tree Genetics & Genomes. 2014;10(6):1595–1610. doi: 10.1007/s11295-014-0782-5. - DOI
    1. Bozzi JA, Liepelt S, Ohneiser S, Gallo LA, Marchelli P, Leyer I, Ziegenhagen B, Mengel C. Characterization of 23 polymorphic SSR markers in Salix humboldtiana (Salicaceae) using next-generation sequencing and cross-amplification from related species. Applications in Plant Science. 2015;3(4):1400120. doi: 10.3732/apps.1400120. - DOI - PMC - PubMed