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

Genome size and ploidy influence angiosperm species' biomass under nitrogen and phosphorus limitation.
复制标题

DOI:
10.1111/nph.13881
复制
发表时间:
2016-06
期刊:
The New phytologist
影响因子:
--
通讯作者:
Leitch AR
Leitch AR
中科院分区:
其他
文献类型:
--
作者:
Guignard MS;Nichols RA;Knell RJ;Macdonald A;Romila CA;Trimmer M;Leitch IJ;Leitch AR

文献摘要

被引文献

相似文献

被子植物基因组大小(GS)范围c。2400倍,并且由于核酸是最需要磷(P)和氮(N)的细胞生物分子之一,我们测试了以下假设:对植物生物量和物种组成的关键影响是N和P可用性与植物GS之间的相互作用。我们分析了不同营养制度对不同GS、倍性水平和Grime的C-S-R(竞争、耐胁迫、杂草)植物策略的被子植物物种地上生物量的影响,这些植物在1856年建立的公园草实验(Rothamsted,UK)中生长。生物量加权平均GS的物种生长的地块上添加N和P肥料显着高于植物生长在对照地块和地块与N或P。这些N + P地块上的植物占主导地位的多倍体与大GS和竞争植物策略。这些结果与我们的假设一致,即在氮和磷限制下,大基因组的构建和维持是昂贵的。因此,GS和倍性是影响生物量生长的重要性状,在不同的营养制度,影响植物群落组成和生态系统动态。我们建议,GS是一个关键因素,需要在模型中,弥合生物多样性和生态系统功能之间的知识差距。
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.