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Multivariate analysis reveals phenotypic diversity of Euscaphis japonica population.

Fruit traits affect population genetic diversity by affecting seed protection and dispersal strategies, thereby comprising important components of phenotypic variation. Understanding of the phenotypic variation is an indispensable first step for developing breeding strategies. However, little information is known about the genetic variation in E. japonica-a monotypic species with abundant phenotypes that is mainly distributed in southern China.

Sun WYuan XLiu ZJLan STsai WCZou SQ.

 

 

PLoS One. 2019 Jul 16;14(7):e0219046. doi: 10.1371/journal.pone.0219046. eCollection 2019.

Abstract

Fruit traits affect population genetic diversity by affecting seed protection and dispersal strategies, thereby comprising important components of phenotypic variation. Understanding of the phenotypic variation is an indispensable first step for developing breeding strategies. However, little information is known about the genetic variation in E. japonica-a monotypic species with abundant phenotypes that is mainly distributed in southern China. In this study, we evaluated the phenotypic diversity of 67 E. japonica using 23 phenotypic traits. Our results showed that the Shannon-Wiener (I) index of qualitative traits ranged from 0.55 to 1.26, and the color traits had a relatively high I. The average coefficient of variation of compound leaf traits (14.74%) was higher than that of fruit and seed traits (12.77% and 11.47%, respectively). Principal component analysis also showed that compound leaf and fruit traits were important components of total variation. Furthermore, correlation analysis revealed a significant difference in elevation and fruit color, irregular ribs, leaf margin and texture. The F value within populations was smaller than among populations, indicating the variation in phenotypic traits among populations was much greater than within populations. Dehua and Zunyi populations had the highest coefficients of variation, whereas Wenzhou population had the smallest-which may be attributed to habitat destruction. According to Q-type clustering, 67 samples clustered into four groups, with those having similar phenotypes clustering into the same group. In general, leaf and fruit traits had abundant phenotypic diversity, representing the main sources of phenotypic variation. Combined with clustering results and field surveys, this study suggests that the phenotypes of E. japonica are classified into two main categories: The deciduous E. japonica present at high altitudes; and the evergreen E. japonica present at low altitudes. Excavating E. japonica variations provides a theoretical reference for its classification and diversity, and is of great significance for planning genetic resources and establishing conservation strategies.

 

See https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0219046&type=printable

 

Figure 1: Different phenotypic traits of E japonica leaves and fruits. The coding of relevant colors (fruit color, fruit sequence color, and compound petiole color) was divided into four types, and encoded by the ratio of green and red. 0-type: Green/red = 2; 1-type: Green/red = 1; 2-type: Green/red = 1/2; 3-type: Red; LM-0: leaf margin obtuse serrate, LM-1: Leaf margin serrulate; IR-0: Fruit epidermis irregular ribs inconspicuous, IR-1: Epidermis ribs prominent.


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