Literature DB >> 27589933

The role of polyploidy in shaping morphological diversity in natural populations of Phlox amabilis.

Matthew T Chansler1, Carolyn J Ferguson2, Shannon D Fehlberg3, L Alan Prather4.   

Abstract

PREMISE OF THE STUDY: Studies of natural populations of polyploids increasingly highlight complex patterns of variation in ploidy and geographic distribution of cytotypes. As our understanding of the complexity of polyploidy grows, our understanding of the morphological correlates of polyploidy should expand as well. Here we examine in what ways, and to what degree, polyploidy affects the overall phenotype of a species across its distribution when there are three ploidies and geographic complexity in cytotype distribution.
METHODS: We measured 31 morphological traits from stems, leaves, and flowers from up to 25 individuals from 11 sites across the distribution of Phlox amabilis. Chromosome counts and flow cytometry confirmed and expanded upon earlier research documenting diploid, tetraploid, and hexaploid populations, and also identified a site with two ploidies. Univariate and multivariate statistics were used to characterize the morphological effects of polyploidy. KEY
RESULTS: We detected significant associations between morphology and ploidy in 11 traits spread across vegetative and reproductive structures. Generally, diploid individuals differed from polyploid individuals to a greater extent, and in different ways, than tetraploid and hexaploid plants differed from each other. Multivariate morphometrics demonstrated that the two primary axes of overall variation are driven by morphological traits associated with polyploidy, and individuals of different ploidies can be discriminated with 95% success.
CONCLUSIONS: Polyploidy plays a major role in shaping overall morphological diversity in natural populations of P. amabilis.
© 2016 Botanical Society of America.

Entities:  

Keywords:  Phlox; Polemoniaceae; cytotypic variation; multivariate morphometrics; phenotypic diversity; plant morphology; polyploidy

Mesh:

Year:  2016        PMID: 27589933     DOI: 10.3732/ajb.1600183

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


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