Genome size and ploidy influence angiosperm species' biomass under nitrogen and phosphorus limitation

被引:117
作者
Guignard, Maite S. [1 ,2 ]
Nichols, Richard A. [1 ]
Knell, Robert J. [1 ]
Macdonald, Andy [3 ]
Romila, Catalina-Andreea [1 ]
Trimmer, Mark [1 ]
Leitch, Ilia J. [2 ]
Leitch, Andrew R. [1 ]
机构
[1] Queen Mary Univ London, Sch Biol & Chem Sci, Mile End Rd, London E1 4NS, England
[2] Royal Bot Gardens, Jodrell Lab, Richmond TW9 3DS, Surrey, England
[3] Rothamsted Res, Dept Sustainable Soils & Grassland Syst, Harpenden AL5 2JQ, Herts, England
基金
英国生物技术与生命科学研究理事会;
关键词
C-S-R strategy; genome size; nitrogen; nutrient limitation; Park Grass; phosphate; plant community; polyploidy; SEQUENCE ALIGNMENT; POLYPLOIDY; MECHANISMS; ACQUISITION; STRATEGIES; EVOLUTION; PLANTS; LEVEL;
D O I
10.1111/nph.13881
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Angiosperm genome sizes (GS) range c. 2400-fold, and as nucleic acids are amongst the most phosphorus-(P) and nitrogen (N)-demanding cellular biomolecules, we test the hypothesis that a key influence on plant biomass and species composition is the interaction between N and P availability and plant GS. We analysed the impact of different nutrient regimes on above-ground biomass of angiosperm species with different GS, ploidy level and Grime's C-S-R (competitive, stress-tolerant, ruderal) plant strategies growing at the Park Grass Experiment (Rothamsted, UK), established in 1856. The biomass-weighted mean GS of species growing on plots with the addition of both N and P fertilizer were significantly higher than that of plants growing on control plots and plots with either N or P. The plants on these N + P plots are dominated by polyploids with large GS and a competitive plant strategy. The results are consistent with our hypothesis that large genomes are costly to build and maintain under N and P limitation. Hence GS and ploidy are significant traits affecting biomass growth under different nutrient regimes, influencing plant community composition and ecosystem dynamics. We propose that GS is a critical factor needed in models that bridge the knowledge gap between biodiversity and ecosystem functioning.
引用
收藏
页码:1195 / 1206
页数:12
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