Related Experiment Video
Updated: Jun 30, 2025

Mating and Tetrad Separation of Chlamydomonas reinhardtii for Genetic Analysis
Published on: August 12, 2009
Higher order polyploids exhibit enhanced desiccation tolerance in the grass Microchloa caffra
Rose A Marks1,2,3, Paula Delgado3, Givemore Munashe Makonya3,4
1Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA.
None:
Desiccation tolerance evolved recurrently across diverse plant lineages to enable survival in water-limited conditions. Many resurrection plants are polyploid, and several groups have hypothesized that polyploidy contributed to the evolution of desiccation tolerance. However, due to the vast phylogenetic distance between resurrection plant lineages, the rarity of desiccation tolerance, and the prevalence of polyploidy in plants, this hypothesis has been difficult to test. Here, we surveyed natural variation in morphological, reproductive, and desiccation tolerance traits across several cytotypes of a single species to test for links between polyploidy and increased resilience. We sampled multiple natural populations of the resurrection grass Microchloa caffra across an environmental gradient ranging from mesic to xeric in South Africa. We describe two distinct ecotypes of M. caffra that occupy different extremes of the environmental gradient and exhibit consistent differences in ploidy, morphological, reproductive, and desiccation tolerance traits in both field and common growth conditions. Interestingly, plants with more polyploid genomes exhibited consistently higher recovery from desiccation, were less reproductive, and were larger than plants with smaller genomes and lower ploidy. These data indicate that selective pressures in increasingly xeric sites may play a role in maintaining and increasing desiccation tolerance and are mediated by changes in ploidy.
Related Concept Videos
Adaptations that Reduce Water Loss
Responses to Drought and Flooding
Polytene Chromosomes
Formation of Species
Asexual Reproduction
Chi-square Analysis
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...

