Skip to main content
Log in

Identification of QTLs associated with limited leaf hydraulic conductance in soybean

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

Soybean (Glycine max (L.) Merr.) genotype PI 416937 has been identified as expressing a ‘slow-wilting’ phenotype in the field and this has been traced to a low hydraulic conductance in its leaves. The transpiration rate of de-rooted shoots of this genotype has been found to be insensitive to the aquaporin inhibitor silver nitrate compared to elite cultivars which are silver nitrate sensitive. These results indicated that PI 416937 might have a unique aquaporin population. The objective of this study was to determine if QTLs could be identified that are associated with the lack of sensitivity in PI 416937 to silver. To identify the genomic locations and genetic bases of this trait, a recombinant inbred line population was derived from a mating between PI 416937 and the cultivar ‘Benning’. The RILs were all phenotyped for their response to the silver inhibitor and the results were subjected to a QTL analysis. Four QTL were identified as putatively associated with the silver response (qSV). These QTL explained from 17.7 to 24.7% of the phenotypic variation with qSV_Gm12 explaining the greatest amount of phenotypic variation. The qSV_Gm03 and qSV_Gm10 QTL inherited their positive alleles from PI 416937, while qSV_Gm05 and qSV_Gm12 inherited their favorable alleles from Benning. Co-localized silver nitrate response QTL with other morpho–physiological traits could help to explain soybean plant’s ability to tolerate water-deficit stress.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Abdel-Haleem H, Lee G-J, Boerma HR (2011) Identification of QTL for increased fibrous roots in soybean. Theor Appl Genet 122:935–946

    Article  PubMed  Google Scholar 

  • Al Tawaha A, Seguin P, Smith D, Bonnell R (2007) Irrigation level affects isoflavone concentrations of early maturing soya bean cultivars. J Agron Crop Sci 193:238–246

    Article  CAS  Google Scholar 

  • Bennett JO, Yu O, Heatherly LG, Krishnan HB (2004) Accumulation of genistein and daidzein, soybean isoflavones implicated in promoting human health, is significantly elevated by irrigation. J Agric Food Chem 52:7574–7579

    Article  PubMed  CAS  Google Scholar 

  • Boerma HR, Hussey RS, Phillips DV, Wood ED, Rowan GB, Finnerty SL (1997) Registration of ‘Benning’ soybean. Crop Sci 37:1982

    Article  Google Scholar 

  • Churchill GA, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138:963–971

    PubMed  CAS  Google Scholar 

  • Fletcher AL, Sinclair TR, Allen LH (2007) Transpiration responses to vapour pressure deficit in well watered ‘slow-wilting’ and commercial soybean. Env Exp Bot 61:145–151

    Article  CAS  Google Scholar 

  • Gutierrez-Gonzalez JJ, Guttikonda SK, Tran LSP, Aldrich DL, Zhong R, Yu O, Nguyen HT, Sleper DA (2010) Differential expression of isoflavone biosynthetic genes in soybean during water deficits. Plant Cell Physiol 51:936–948

    Article  PubMed  CAS  Google Scholar 

  • Jansen RC, Stam P (1994) High resolution of quantitative traits into multiple loci via interval mapping. Genetics 136:1447–1455

    PubMed  CAS  Google Scholar 

  • Kao CH, Zeng SB, Teasdale RD (1999) Multiple interval mapping for quantitative trait loci. Genetics 152:1203–1216

    PubMed  CAS  Google Scholar 

  • King CA, Purcell LC, Brye KR (2009) Differential wilting among soybean genotypes in response to water deficit. Crop Sci 49:290–298

    Article  Google Scholar 

  • Lee GJ, Boerma HR, Villagarcia MR, Zhou X, Carter TE, Li Z, Gibbs MO (2004) A major QTL conditioning salt tolerance in S-1000 soybean and descendent cultivars. Theor Appl Genet 109:1610–1619

    Google Scholar 

  • Pantalone VR, Burton JW, Carter TE (1996) Soybean fibrous root heritability and genotypic correlations with agronomic and seed quality traits. Crop Sci 36:1120–1125

    Article  Google Scholar 

  • Pantalone VR, Rebetzke GJ, Burton JW, Carter TE Jr, Israel DW (1999) Soybean PI 416937 root system contributes to biomass accumulation in reciprocal grafts. Agron J 92:840–844

    Article  Google Scholar 

  • Sadok W, Sinclair TR (2010a) Transpiration response of ‘slow-wilting’ and commercial soybean (Glycine max (L.) Merr.) genotypes to three aquaporin inhibitors under high evaporative demand. J Exp Bot 61:821–829

    Article  PubMed  CAS  Google Scholar 

  • Sadok W, Sinclair TR (2010b) Genetic variability of transpiration response of soybean (Glycine max (L.) Merr.) shoots to leaf hydraulic condutance inhibitor AgNO3. Crop Sci 50:1423–1430

    Article  CAS  Google Scholar 

  • Seguin P, Zheng W, Smith DL, Deng W (2004) Isoflavone content of soybean cultivars grown in Eastern Canada. J Sci Food Agric 84:1327–1332

    Article  CAS  Google Scholar 

  • Sinclair TR, Zwieniecki MA, Holbrook NM (2008) Low leaf hydraulic conductance associated with drought tolerance in soybean. Physiol Plant 132:446–451

    Article  PubMed  CAS  Google Scholar 

  • Sinclair TR, Messina CD, Beatty A, Samples M (2010) Assessment across the United States of the benefits of altered soybean drought traits. Agron J 102:475–482

    Article  Google Scholar 

  • Sloane RJ, Patterson RP, Carter TE (1990) Field drought tolerance of a soybean plant introduction. Crop Sci 30:118–123

    Article  Google Scholar 

  • Wang SC, Basten J, Zeng Z-B (2007) Windows QTL Cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh, NC. http://www.statgen.ncus.edu/qtlcart/WQTL.CART.htm

  • Zeng ZB, Kao CH, Basten CJ (1999) Estimating the genetic architecture of quantitative traits. Genet Res 74:279–289

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

V. Carpentieri-Pipolo thanks the Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) for support during this study. A grant from the United Soybean Board also provided financial support for this study. We also thank Tommy Carter, ARS-USDA, Raleigh, NC, for generously providing the seed for this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T. R. Sinclair.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Carpentieri-Pipolo, V., Pipolo, A.E., Abdel-Haleem, H. et al. Identification of QTLs associated with limited leaf hydraulic conductance in soybean. Euphytica 186, 679–686 (2012). https://doi.org/10.1007/s10681-011-0535-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10681-011-0535-6

Keywords

Navigation