期刊论文详细信息
BMC Genomics
Nitrogen limitation and high density responses in rice suggest a role for ethylene under high density stress
Steven J Rothstein3  Joseph Colasanti3  Paul D McNicholas1  Darryl Hudson3  Sanjeena Subedi2  David Guevara3  Maksym Misyura3 
[1]Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada
[2]Department of Mathematics & Statistics, University of Guelph, Guelph, ON, Canada
[3]Department of Molecular and Cellular Biology, University of Guelph, Guelph, ON, Canada
关键词: Ethylene;    Gene expression;    Microarray;    Competition;    Density;    Stress;    Nitrogen;    Rice;   
Others  :  1216268
DOI  :  10.1186/1471-2164-15-681
 received in 2013-11-19, accepted in 2014-07-28,  发布年份 2014
PDF
【 摘 要 】

Background

High density stress, also known as intraspecies competition, causes significant yield losses in a wide variety of crop plants. At the same time, increases in density tolerance through selective breeding and the concomitant ability to plant crops at a higher population density has been one of the most important factors in the development of high yielding modern cultivars.

Results

Physiological changes underlying high density stress were examined in Oryza sativa plants over the course of a life cycle by assessing differences in gene expression and metabolism. Moreover, the nitrogen limitation was examined in parallel with high density stress to gain a better understanding of physiological responses specific to high density stress. While both nitrogen limitation and high density resulted in decreased shoot fresh weight, tiller number, plant height and chlorophyll content, high density stress alone had a greater impact on physiological factors. Decreases in aspartate and glutamate concentration were found in plants grown under both stress conditions; however, high density stress had a more significant effect on the concentration of these amino acids. Global transcriptome analysis revealed a large proportion of genes with altered expression in response to both stresses. The presence of ethylene-associated genes in a majority of density responsive genes was investigated further. Expression of ethylene biosynthesis genes ACC synthase 1, ACC synthase 2 and ACC oxidase 7 were found to be upregulated in plants under high density stress. Plants at high density were also found to up regulate ethylene-associated genes and senescence genes, while cytokinin response and biosynthesis genes were down regulated, consistent with higher ethylene production.

Conclusions

High density stress has similar but greater impact on plant growth and development compared to nitrogen limitation. Global transcriptome changes implicate ethylene as a volatile signal used to communicate proximity in under dense population growth condition and suggest a role for phytohormones in high density stress response in rice plants.

【 授权许可】

   
2014 Misyura et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150629173738549.pdf 2026KB PDF download
Figure 7. 31KB Image download
Figure 6. 24KB Image download
Figure 5. 23KB Image download
Figure 4. 148KB Image download
Figure 3. 47KB Image download
Figure 2. 25KB Image download
Figure 1. 69KB Image download
【 图 表 】

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

【 参考文献 】
  • [1]Cattivelli L, Rizza F, Badeck F-W, Mazzucotelli E, Mastrangelo AM, Francia E, Mare C, Tondelli A, Stanca AM: Drought tolerance improvement in crop plants: an integrated view from breeding to genomics. Field Crop Res 2008, 105(1):1-14.
  • [2]Robinson RA, Cowling W: Return to resistance: breeding crops to reduce pesticide dependence. Australas Plant Pathol 1996, 25(3):216-217.
  • [3]Vyn T, Tollenaar M: Changes in chemical and physical quality parameters of maize grain during three decades of yield improvement. Field Crop Res 1998, 59(2):135-140.
  • [4]Carlone MR, Russell WA: Response to plant densities and nitrogen levels for four maize cultivars from different eras of breeding1. Crop Sci 1987, 27(3):465-470.
  • [5]Reilly JM, Fuglie KO: Future yield growth in field crops: what evidence exists? Soil Tillage Res 1998, 47(3–4):275-290.
  • [6]Duvick DN: New Technologies for Sustained Productivity Growth: Plant Breeding. USDA Agricultural Outlook Forum: 2004 2004.
  • [7]Kant S, Bi Y-M, Rothstein SJ: Understanding plant response to nitrogen limitation for the improvement of crop nitrogen use efficiency. J Exp Bot 2011, 62(4):1499-1509.
  • [8]Villalobos F, Sadras V, Soriano A, Fereres E: Planting density effects on dry matter partitioning and productivity of sunflower hybrids. Field Crop Res 1994, 36(1):1-11.
  • [9]Tollenaar M, Wu J: Yield improvement in temperate maize is attributable to greater stress tolerance. Crop Sci 1999, 39(6):1597-1604.
  • [10]Modarres A, Hamilton R, Dijak M, Dwyer L, Stewart D, Mather D, Smith D: Plant population density effects on maize inbred lines grown in short-season environments. Crop Sci 1998, 38(1):104-108.
  • [11]Bullard MJ, Mustill SJ, McMillan SD, Nixon PM, Carver P, Britt PC: Yield improvements through modification of planting density and harvest frequency in short rotation coppice < i > Salix spp.—1. Yield response in two morphologically diverse varieties. Biomass Bioenergy 2002, 22(1):15-25.
  • [12]Casal J, Smith H: The function, action and adaptive significance of phytochrome in light-grown plants. Plant Cell Environ 1989, 12(9):855-862.
  • [13]St Pierre S, Springer NM, Muehlbauer GJ: Density stress has minimal impacts on the barley or maize seedling transcriptome. Plant Genome 2011, 4(1):47-54.
  • [14]Masclaux FG, Bruessow F, Schweizer F, Gouhier-Darimont C, Keller L, Reymond P: Transcriptome analysis of intraspecific competition in Arabidopsis thaliana reveals organ-specific signatures related to nutrient acquisition and general stress response pathways. BMC Plant Biol 2012, 12(1):227.
  • [15]Geisler M, Gibson DJ, Lindsey KJ, Millar K, Wood AJ: Upregulation of photosynthesis genes, and downregulation of stress defense genes, is the response of Arabidopsis thaliana shoots to intraspecific competition. Bot Stud 2012, 53(1):85-96.
  • [16]Kawano K, Gonzalez H, Lucena M: Intraspecific competition, competition with weeds, and spacing response in rice. Crop Sci 1974, 14(6):841-845.
  • [17]Hashemi-Dezfouli A, Herbert S: Intensifying plant density response of corn with artificial shade. Agron J 1992, 84(4):547-551.
  • [18]Bruce WB, Edmeades GO, Barker TC: Molecular and physiological approaches to maize improvement for drought tolerance. J Exp Bot 2002, 53(366):13-25.
  • [19]Seki M, Narusaka M, Abe H, Kasuga M, Yamaguchi-Shinozaki K, Carninci P, Hayashizaki Y, Shinozaki K: Monitoring the expression pattern of 1300 Arabidopsis genes under drought and cold stresses by using a full-length cDNA microarray. Plant Cell Online 2001, 13(1):61-72.
  • [20]Forde BG, Lea PJ: Glutamate in plants: metabolism, regulation, and signalling. J Exp Bot 2007, 58(9):2339-2358.
  • [21]Galili G: The aspartate-family pathway of plants: linking production of essential amino acids with energy and stress regulation. Plant Signal Behav 2011, 6(2):192-195.
  • [22]Kirma M, Araújo WL, Fernie AR, Galili G: The multifaceted role of aspartate-family amino acids in plant metabolism. J Exp Bot 2012, 63(14):4995-5001.
  • [23]Sweetlove LJ, Beard KFM, Nunes-Nesi A, Fernie AR, Ratcliffe RG: Not just a circle: flux modes in the plant TCA cycle. Trends Plant Sci 2010, 15(8):462-470.
  • [24]Banfield JD, Raftery AE: Model-based Gaussian and non-Gaussian clustering. Biometrics 1993, 49(3):803-821.
  • [25]Celeux G, Govaert G: Gaussian parsimonious clustering models. Pattern Recogn 1995, 28(5):781-793.
  • [26]R Core Team: R: A language and environment for statistical computing. 2013. R Foundation for Statistical Computing, Vienna, Austria
  • [27]Morgan PW, Drew MC: Ethylene and plant responses to stress. Physiol Plant 1997, 100(3):620-630.
  • [28]Clark DG, Richards C, Hilioti Z, Lind-Iversen S, Brown K: Effect of pollination on accumulation of ACC synthase and ACC oxidase transcripts, ethylene production and flower petal abscission in geranium (Pelargonium × hortorum LH Bailey). Plant Mol Biol 1997, 34(6):855-865.
  • [29]Wu J, Wang C, Zheng L, Wang L, Chen Y, Whelan J, Shou H: Ethylene is involved in the regulation of iron homeostasis by regulating the expression of iron-acquisition-related genes in Oryza sativa. J Exp Bot 2011, 62(2):667-674.
  • [30]Guo H, Ecker JR: The ethylene signaling pathway: new insights. Curr Opin Plant Biol 2004, 7(1):40-49.
  • [31]Miller JD, Arteca RN, Pell EJ: Senescence-associated gene expression during ozone-induced leaf senescence in Arabidopsis. Plant Physiol 1999, 120(4):1015-1024.
  • [32]Vogel JP, Woeste KE, Theologis A, Kieber JJ: Recessive and dominant mutations in the ethylene biosynthetic gene ACS5 of Arabidopsis confer cytokinin insensitivity and ethylene overproduction, respectively. Proc Natl Acad Sci 1998, 95(8):4766-4771.
  • [33]Ohme-Takagi M, Shinshi H: Ethylene-inducible DNA binding proteins that interact with an ethylene-responsive element. Plant Cell Online 1995, 7(2):173-182.
  • [34]Nakashima K, Kiyosue T, Yamaguchi‒Shinozaki K, Shinozaki K: A nuclear gene, erd1, encoding a chloroplast-targeted Clp protease regulatory subunit homolog is not only induced by water stress but also developmentally up‒regulated during senescence in Arabidopsis thaliana. Plant J 1997, 12(4):851-861.
  • [35]Burg SP: Ethylene, plant senescence and abscission. Plant Physiol 1968, 43(9 Pt B):1503.
  • [36]Liu L, Zhou Y, Zhou G, Ye R, Zhao L, Li X, Lin Y: Identification of early senescence-associated genes in rice flag leaves. Plant Mol Biol 2008, 67(1–2):37-55.
  • [37]Cox WJ: Whole-plant physiological and yield responses of maize to plant density. Agron J 1996, 88(3):489-496.
  • [38]Graybill J, Cox W, Otis D: Yield and quality of forage maize as influenced by hybrid, planting date, and plant density. Agron J 1991, 83(3):559-564.
  • [39]Fagade S, De Datta S: Leaf area index, tillering capacity, and grain yield of tropical rice as affected by plant density and nitrogen level. Agron J 1971, 63(3):503-506.
  • [40]Wu G, Wilson LT, McClung AM: Contribution of rice tillers to dry matter accumulation and yield. Agron J 1998, 90(3):317-323.
  • [41]Aphalo PJ, Ballaré CL, Scopel AL: Plant-plant signalling, the shade-avoidance response and competition. J Exp Bot 1999, 50(340):1629-1634.
  • [42]Lam H-M, Coschigano K, Oliveira I, Melo-Oliveira R, Coruzzi G: The molecular-genetics of nitrogen assimilation into amino acids in higher plants. Annu Rev Plant Biol 1996, 47(1):569-593.
  • [43]Mittler R: Abiotic stress, the field environment and stress combination. Trends Plant Sci 2006, 11(1):15-19.
  • [44]Schmidt D, Baldwin I: Transcriptional responses of Solanum nigrum to methyl jasmonate and competition: a glasshouse and field study. Funct Ecol 2006, 20(3):500-508.
  • [45]Du Z, Zhou X, Ling Y, Zhang Z, Su Z: agriGO: a GO analysis toolkit for the agricultural community. Nucleic Acids Res 2010, 38(suppl 2):W64-W70.
  • [46]Pierik R, Djakovic-Petrovic T, Keuskamp DH, de Wit M, Voesenek L: Auxin and ethylene regulate elongation responses to neighbor proximity signals independent of gibberellin and DELLA proteins in arabidopsis. Plant Physiol 2009, 149(4):1701-1712.
  • [47]Pierik R, Millenaar FF, Peeters AJ, Voesenek LA: New perspectives in flooding research: the use of shade avoidance and Arabidopsis thaliana. Ann Bot 2005, 96(4):533-540.
  • [48]Pierik R, Visser EJW, De Kroon H, Voesenek LACJ: Ethylene is required in tobacco to successfully compete with proximate neighbours. Plant Cell Environ 2003, 26(8):1229-1234.
  • [49]Pierik R, Whitelam GC, Voesenek LACJ, De Kroon H, Visser EJW: Canopy studies on ethylene-insensitive tobacco identify ethylene as a novel element in blue light and plant–plant signalling. Plant J 2004, 38(2):310-319.
  • [50]Keuskamp DH, Sasidharan R, Pierik R: Physiological regulation and functional significance of shade avoidance responses to neighbors. Plant Signal Behav 2010, 5(6):655-662.
  • [51]de Wit M, Kegge W, Evers JB, Vergeer-van Eijk MH, Gankema P, Voesenek LA, Pierik R: Plant neighbor detection through touching leaf tips precedes phytochrome signals. Proc Natl Acad Sci 2012, 109(36):14705-14710.
  • [52]Polko JK, Pierik R, van Zanten M, Tarkowská D, Strnad M, Voesenek LA, Peeters AJ: Ethylene promotes hyponastic growth through interaction with ROTUNDIFOLIA3/CYP90C1 in Arabidopsis. J Exp Bot 2013, 64(2):613-624.
  • [53]Baloch A, Soomro A, Javed M, Ahmed M, Bughio H, Bughio M, Mastoi N: Optimum plant density for high yield in rice (Oryza sativa L.). Asian J Plant Sci 2002, 1(1):25-27.
  • [54]Bi Y-M, Kant S, Clark J, Gidda S, Ming F, Xu J, Rochon A, Shelp BJ, Hao L, Zhao R, Mullen RT, Zhu T, Rothstein SJ: Increased nitrogen-use efficiency in transgenic rice plants over-expressing a nitrogen-responsive early nodulin gene identified from rice expression profiling. Plant Cell Environ 2009, 32(12):1749-1760.
  • [55]Thimm O, Bläsing O, Gibon Y, Nagel A, Meyer S, Krüger P, Selbig J, Müller LA, Rhee SY, Stitt M: mapman: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes. Plant J 2004, 37(6):914-939.
  • [56]Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2ΔΔCT Method. Methods 2001, 25(4):402-408.
  • [57]Roessner U, Wagner C, Kopka J, Trethewey RN, Willmitzer L: Simultaneous analysis of metabolites in potato tuber by gas chromatography–mass spectrometry. Plant J 2000, 23:131-142.
  • [58]Nuin PWE, Summers PS, Guevara DR, Golding GB: GC/MS Analysis Software Package. In 2004
  • [59]Kopka J, Schauer N, Krueger S, Birkemeyer C, Usadel B, Bergmüller E, Dörmann P, Weckwerth W, Gibon Y, Stitt M: GMD@ CSB. DB: the Golm metabolome database. Bioinformatics 2005, 21(8):1635-1638.
  • [60]Fraley C, Raftery AE, Murphy TB, Scrucca L: mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, Department of Statistics, University of Washington; 2012.
  • [61]McNicholas PD, Murphy TB: Parsimonious Gaussian mixture models. Stat Comput 2008, 18:285-296.
  • [62]McNicholas PD, Jampani KR, McDaid AF, Murphy TB, Banks L: pgmm:Parsimonious Gaussian Mixture Models. 2011. [R package version 1.0]
  文献评价指标  
  下载次数:43次 浏览次数:20次