Please wait a minute...
Journal of Integrative Agriculture  2016, Vol. 15 Issue (9): 1955-1967    DOI: 10.1016/S2095-3119(15)61264-3
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
Mapping QTLs for stomatal density and size under drought stress in wheat (Triticum aestivum L.)
WANG Shu-guang1, JIA Shou-shan1, SUN Dai-zhen1, FAN Hua1, CHANG Xiao-ping2, JING Rui-lian2
1 College of Agronomy, Shanxi Agricultural University, Taigu 030801, P.R.China
2 Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
Abstract     Stomatal density and size affect plant water use efficiency, photosynthsis rate and yield. The objective of this study was to gain insights into the variation and genetic basis of stomatal density and size during grain filling under drought stress (DS) and well-watered (WW) conditions. The doubled haploid population derived from a cross of wheat cultivars Hanxuan 10 (H10), a female parent, and Lumai 14 (L14), a male parent, was used for phenotyping at the heading, flowering, and mid- and late grain filling stages along with established amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR) markers. The stomatal density of doubled haploid (DH) lines was gradually increased, while the stomatal lengths and widths were gradually decreased during grain filling stage. Twenty additive QTLs and 19 pairs of epistatic QTLs for the 3 traits were identified under DS. The other 20 QTLs and 25 pairs epistatic QTLs were obtained under WW. Most QTLs made more than 10% contributions to the total phenotypic variations at one growth stage under DS or WW. Furthermore, QTLs for stomatal density near Xwmc74 and Xgwm291 located on chromosome 5A were tightly linked to previously reported QTLs regulating total number of spikelets per spike, number of sterile spikelets per spike and proportion of fertile spikelets per spike. Qsw-2D-1 was detected across stages, and was in the same marker region as a major QTL for plant height, QPH.cgb-2D.1. These indicate that these QTLs on chromosomes 5A and 2D are involved in regulating these agronomic traits and are valuable for molecular breeding.
Keywords:  wheat (Triticum aestivum L.)        stomatal density        stomatal length        stomatal width        quantitative trait loci  
Received: 31 August 2015   Accepted:
Fund: 

This work was supported by the National Science and Technology Major Projects for Cultivation of New Transgenic Varieties, Ministry of Agriculture of China (2014ZX0800203B-003), the Natural Science Foundation of Shanxi Province, China (2014011004-3), the Specialized Research Fund for the Doctoral Program of Higher Education, China (20121403110005), a Program of Consultative Group for International Agricultural Research (CGIAR) Project, Generation Challenge Programme (G7010.02.01).

Corresponding Authors:  SUN Dai-zhen, Tel/Fax: +86-354-6288706, E-mail: sdz64@126.com; JING Rui-lian, Tel/Fax: +86-10-82105829, E-mail: jingruilian@caas.cn   

Cite this article: 

WANG Shu-guang, JIA Shou-shan, SUN Dai-zhen, FAN Hua, CHANG Xiao-ping, JING Rui-lian. 2016. Mapping QTLs for stomatal density and size under drought stress in wheat (Triticum aestivum L.). Journal of Integrative Agriculture, 15(9): 1955-1967.

Aasamaa K, Sober A, Rahi M. 2001. Leaf anatomical characteristics associated with shoot hydraulic conductance, stomatal conductance, and stomatal sensitivity to changes of leaf water status in temperate deciduous trees. Australia Journal of Plant Physiology, 28, 765–774.

Berger D, Altmann T. 2000. A subtilisin-like serine protease involved in the regulation of stomatal density and distribution in Arabidopsis thaliana. Genes & Development, 14, 1119–1131.

Bergmann D C, Lukowitz W, Somerville C R. 2004. Stomatal development and pattern controlled by a MAPKK kinase. Science, 304, 1494–1497.

Chen L Q, Li C S, Chaloner W G, Beering D J, Sun Q G, Collinson M E, Mitchell P L. 2001. Assessing the potential for the stomatal characters of extant and fossil Ginkgo leaves to signal atmospheric CO2 change. American Journal of Botany, 88, 1309–1315.

Chen W F, Xu Z J, Qian T Y, Zhang L B, Lee J Y. 1995. Comparative study of stomatal density and gas diffusion resistance in leaves of various types of rice. Korean Journal of Crop Science, 40, 125–132.

Chen W F, Xu Z J, Zhang L B, Yang S R. 1990. Comparative studies on stomatal density and its relations to gas diffusion resistance and net photosynthetic rate in rice leaf. Chinese Journal of Rice Science, 4, 63–168.

Fracheboud Y, Ribaut J M, Vargas M, Mesamer R, Stamp P. 2002. Identification of quantitative trait loci for cold tolerance of photosynthesis in maize (Zea mays L.). Journal of Experimental Botany, 53, 1967–1977.

Hao Z F, Chang X P, Guo X J, Jing R L, Li R Z, Jia J Z. 2003. QTL mapping for drought tolerance at stages of germination and seedling in wheat (Triticum aestivum L.) using a DH population. Agricultural Science in China, 2, 943–949.

Hervé D, Francoise F, Ericka F B, Nadia L, Ghias A C, Claude P, Ahmad S, Laurent G. 2001. QTL analysis of photosynthesis and water status traits in sunflower (Helianthus annuus L.) under greenhouse condition. Journal of Experimental Botany, 52, 1857–1864.

 Hetherrington A M, Woodward L. 2003. The role of stomata in sensing and driving environmental change. Nature, 424, 901–908.

Ishimaru K, Shirota K, Higa M, Kawamitsu Y. 2001a. Identification of quantitative trait loci for adaxial and abaxial stomatal frequencies in Oryza sativa. Plant Physiology and Biochemistry, 39, 173–177.

Ishimaru K, Yano M, Aoki N, Ono K, Hirose T, Lin S Y, Monna L, Sasaki T. 2001b. Toward mapping of physiological and agronomic characters on a rice function map: QTL analysis and comparison between QTLs and expressed sequence tags. Theoretical and Applied Genetics, 6, 793–801.

Jing R L, Chang X P, Jia J Z, Hu R H. 1999. Establishing wheat doubled haploid population for genetic mapping by anther culture. Biotechnology, 9, 4–8.

Kawamitsu Y, Agata W, Hiyane S, Murayama S, Nose A, Shinjyo C. 1996. Relation between leaf gas exchange rate and stomata. Japanese Journal of Crop Science, 65, 626–633.

Kong F L. 2005. Quantitative Genetics in Plant. China Agricultural University Press, Beijing. pp. 166–168. (in Chinese)

Lander E S, Green P, Abrahamson J, Barlaw A, Daly M, Lincoln S E, Newburg L. 1987. MAPMAKER: An interactive computer package for maps of experimental and natural populations. Genomics, 1, 174–181.

Laza M R C, Kondo M, Ideta O, Barlaan E, Imbe T. 2010. Quantitative trait loci for stomatal density and size in lowland rice. Euphytica, 172, 149–158.

Lecoeur J, Wery J, Turc O, Tardieu F. 1995. Expansion of pea leaves subjected to short water-deficit - Cell number and cell-size are sensitive to stress at different periods of leaf development. Journal of Experimental Botany, 46, 1093–1101.

Ledent J F, Jouret M F. 1978. Relationship between stomatal frequencies, yield components and morphological characters in collections of winter wheat cultivars. Biologia Plantarum, 20, 287–292.

Li X Y. 2011. Effect of sowing modes and topdressing stages on flag leaf photosynthtic characters, grain yield and quality of winter wheat in Heilongjiang Province. MSc thesis, Northeast Agricultural University, China. (in Chinese)

Lincoln S E, Daly M J,  Lander E S. 1993. Constructing  Genetic  Linkage Maps  with MAPMAKER/EXP  Version 3.0: A  Tutorial and Reference Manual, A Whitehead Institute for Biomedical Research Technical Report. 3rd  ed. Cambridge, Mass.

Liu S P, Liu J M, Cao J Y, Bai C Y, Shi Y. 2006. Stomatal distribution and character analysis of leaf epidermis of jujube under drought stress. Journal of Anhui Agricultural Science, 34, 1315–1318. (in Chinese)

Liu X L, Chang X P, Li R Z, Jing R L. 2011. Mapping QTLs for seminal root architecture and coleoptile length in wheat. Acta Agronomica Sinica, 37, 381–388. (in Chinese)

Masle J, Gilmore S R, Farquhar G D. 2005. The ERECTA gene regulates plant transpiration efficiency in Arabidopsis. Nature, 436, 866–870.

McIntosh R A, Hart G E, Devos K M, Rogers W J. 1999. Catalogue of gene symbols for wheat. In: Proceedings of the 9th International Wheat Genetics Symposium. University Extension Press, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. pp. 1–235.

Mei X R, Zhong X L, Vadez V, Liu X Y. 2013. Improving water use efficiency of wheat crop varieties in the North China Plain: Review and analysis. Journal of Integrative Agriculture, 7, 1243–1250.

Miskin K E, Rasmusson D C, Moss D N. 1972. Inheritance and physiological effects of stomatal frequency in barley. Crop Science, 12, 781–783.

Muchow R C, Sinclair T R. 1989. Epidermal conductance, stomatal density and stomatal size among genotypes of Sorghum bicolor (L.) Moench. Plant Cell and Environment, 12, 425–431.

Nadeau J A, Sack F D. 2002. Control of stomatal distribution on the Arabidopsis leaf surface. Science, 296, 1697–1700.

Nadeau J A, Sack F D. 2003. Stomatal development: Cross talk puts mouths in place. Trends in Plant Science, 8, 294–299.

Ohsumi A, Kanemura T, Homma K, Horie T, Shiraiwa T. 2007. Genotypic variation of stomatal conductance in relation to stomatal density and length in rice (Oryza sativa L.). Plant Production Science, 10, 322–328.

Reich P B. 1984. Leaf stomatal density and diffusive conductance in three amphistomatous hybrid poplar cultivars. New Phytologist, 98, 231–239.

Rowland-Bamford A J, Nordenbrock C, Baker J T, Bowes G, Allen L H. 1990. Changes in stomatal density in rice grown under various CO2 regimes with natural solar irradiance. Environmental and Experimental Botany, 30, 175–180.

Shpak E D, McAbee J M, Pillitteri L J, Torii K U. 2005. Stomatal patterning and differentiation by synergistic interactions of receptor kinases. Science, 309, 290–293.

Spence R D, Wu H, Sharpe P J H, Clark K G. 1986. Water stress effects on guard cell anatomy and the mechanical advantage of the epidermal cells. Plant Cell and Environment, 9, 197–202.

Sylvester-Bradley R, Scott R K, Wright C E. 1990. Physiology in the production and improvement of cereals. In: Home-grown Cereals Authority Research Review 18. HGCA, London.

Tuberosa R, Salvi S, Sanguineti M C, Landi P, Maccaferri M, Conti S. 2002. Mapping QTL regulating morphophysiologyical traits and yield: Case studies, shortcomings and perspectives in drought stressed maize. Annals of Botany, 89, 941–963.

Wang D L, Zhu J, Li Z K, Paterson A H. 1999. Mapping QTLs with epistatic effects and QTL×environment interactions by mixed linear model approaches. Theoretical and Applied Genetics, 99, 1255–1264.

Wang S G, Li Z Q, Jia S S, Sun D Z, Shi Y G, Fan H, Liang Z H, Jing R L. 2013. Relationships of wheat leaf stomatal traits with wheat yield and drought resistance. Chinese Journal of Applied Ecology, 6, 1609–1614. (in Chinese)

Wang Y, Chen X, Xiang C B. 2007. Stomatal density and bio-water saving. Journal of Integrative Plant Biology, 49, 1435–1444.

Wu X S, Chang X P, Jing R L. 2012. Genetic insight into yield-associated traits of wheat grown in multiple rain-fed environments. PLoS ONE, 7, e31249.

Yang D L, Jing R L, Chang X P, Li W. 2007. Identification of quantitative trait loci and environmental interactions for accumulation and remobilization of water-soluble carbohydrates in wheat (Triticum aestivum L.) stems. Genetics, 176, 571–584.

Yang H M, Wang G X. 2001. Leaf stomatal densities and distribution in Triticum aestivum under drought and CO2 enrichment. Acta Phytoecologica Sinica, 25, 312–316.

Yang J, Jonathan W, Zhu Q, Peng Z. 1995. Effect of water deficit stress on the stomatal frequency, stomatal conductance and abscisic acid in rice leaves. Acta Agronomica Sinica, 21, 533–539. (in Chinese)

Yang M, Sack F D. 1995. The too many mouths and four lips mutations affect stomatal production in Arabidopsis. The Plant Cell, 7, 2227–2239.

Yoshida T. 1979. Relationship between stomatal frequency and photosynthesis in barley. Japan Agricultural Research Quarterly, 13, 101–105.

Zhang H, Wang X Y, Wang S B. 2004. A study on stomatal traits of Platanus acerifolia under urban stress. Journal of Fudan University, 43, 651–656. (in Chinese)

Zhou X G, Jing R L, Hao Z F, Chang X P, Zhang Z B. 2005. Mapping QTL for seedling root traits in common wheat. Scientia Agricultura Sinica, 38, 1951–1957. (in Chinese)
[1] BAI Sheng-sheng, ZHANG Han-bing, HAN Jing, WU Jian-hui, LI Jia-chuang, GENG Xing-xia, LÜ Bo-ya, XIE Song-feng, HAN De-jun, ZHAO Ji-xin, YANG Qun-hui, WU Jun, CHEN Xin-hong . Identification of genetic locus with resistance to take-all in the wheat-Psathyrostachys huashanica Keng introgression line H148[J]. >Journal of Integrative Agriculture, 2021, 20(12): 3101-3113.
[2] LIU Hang, TANG Hua-ping, LUO Wei, MU Yang, JIANG Qian-tao, LIU Ya-xi, CHEN Guo-yue, WANG Ji-rui, ZHENG Zhi, QI Peng-fei, JIANG Yun-feng, CUI Fa, SONG Yin-ming, YAN Gui-jun, WEI Yuming, LAN Xiu-jin, ZHENG You-liang, MA Jian. Genetic dissection of wheat uppermost-internode diameter and its association with agronomic traits in five recombinant inbred line populations at various field environments[J]. >Journal of Integrative Agriculture, 2021, 20(11): 2849-2861.
[3] LIU Rui-xuan, WU Fang-kun, YI Xin, LIN Yu, WANG Zhi-qiang, LIU Shi-hang, DENG Mei, MA Jian, WEI Yu-ming, ZHENG You-liang, LIU Ya-xi. Quantitative trait loci analysis for root traits in synthetic hexaploid wheat under drought stress conditions[J]. >Journal of Integrative Agriculture, 2020, 19(8): 1947-1960.
[4] DING Xiao-yu, XU Jin-song, HUANG He, QIAO Xing, SHEN Ming-zhen, CHENG Yong, ZHANG Xue-kun. Unraveling waterlogging tolerance-related traits with QTL analysis in reciprocal intervarietal introgression lines using genotyping by sequencing in rapeseed (Brassica napus L.)[J]. >Journal of Integrative Agriculture, 2020, 19(8): 1974-1983.
[5] Tahmina SHAR, SHENG Zhong-hua, Umed ALI, Sajid FIAZ, WEI Xiang-jin, XIE Li-hong, JIAO Gui-ai, Fahad ALI, SHAO Gao-neng, HU Shi-kai, HU Pei-song, TANG Shao-qing. Mapping quantitative trait loci associated with starch paste viscosity attributes by using double haploid populations of rice (Oryza sativa L.)[J]. >Journal of Integrative Agriculture, 2020, 19(7): 1691-1703.
[6] XUE Pao1, ZHANG Ying-xin1, LOU Xiang-yang1, ZHU Ai-ke, CHEN Yu-yu, SUN Bin, YU Ping, CHENG Shi-hua, CAO Li-yong, ZHAN Xiao-deng .
Mapping and genetic validation of a grain size QTL qGS7.1 in rice (Oryza sativa L.)
[J]. >Journal of Integrative Agriculture, 2019, 18(8): 1838-1850.
[7] Ghulam Shabir, Kashif Aslam, Abdul Rehman Khan, Muhammad Shahid, Hamid Manzoor, Sibgha Noreen, Mueen Alam Khan, Muhammad Baber, Muhammad Sabar, Shahid Masood Shah, Muhammad Arif. Rice molecular markers and genetic mapping: Current status and prospects[J]. >Journal of Integrative Agriculture, 2017, 16(09): 1879-1891.
[8] YANG Guang, ZHAI Hong, WU Hong-yan, ZHANG Xing-zheng, Lü Shi-xiang, WANG Ya-ying, LI Yu-qiu, HU Bo, WANG Lu, WEN Zi-xiang, WANG De-chun, WANG Shao-dong, Kyuya Harada, XIA Zheng-jun, XIE Fu-ti. QTL effects and epistatic interaction for flowering time and branch number in a soybean mapping population of Japanese×Chinese cultivars[J]. >Journal of Integrative Agriculture, 2017, 16(09): 1900-1912.
[9] LUO Xiang-dong, ZHAO Jun, DAI Liang-fang, ZHANG Fan-tao, ZHOU Yi, WAN Yong, XIE Jian-kun. Linkage map construction and QTL mapping for cold tolerance in Oryza rufipogon Griff. at early seedling stage[J]. >Journal of Integrative Agriculture, 2016, 15(12): 2703-2711.
No Suggested Reading articles found!