Skip to main content
SpringerLink
Log in

Advanced Backcross Quantitative Trait Loci (QTL) Analysis of Oil Concentration and Oil Quality Traits in Peanut (Arachis hypogaea L.)

  • Published:
Tropical Plant Biology Aims and scope Submit manuscript

Abstract

Peanut seed oil is an important commodity worldwide and breeding efforts have been to improve both the quality and quantity of oil produced. Identifying sources of variation and elucidating the genetics of oil concentration and quality in peanut is essential to advancing the development of improved genotypes. The objective of this study was to discover QTLs for oil traits in an advanced backcross population derived from a cross between a wild-species derived amphidiploid, TxAG-6, and a cultivated genotype, Florunner. A BC1F1 population was developed for genetic mapping and an advanced backcross BC3F6 population was phenotyped in three environments and genotyped using SSR markers. Composite interval mapping results identified three genomic regions associated with oil concentration in a combined analysis. Marker PM36, associated with oil concentration and multiple fatty acids in this study, mapped directly to a HD-ZIP transcription factor in diploid Arachis genome sequences. For fatty acid concentrations, results suggested 17 QTLs identified in two or more environments, 15 of which were present across environments. Fourteen genomic regions on 13 linkage groups contained significant QTLs for more than one trait, suggesting that same genes or gene families are responsible for multiple phenotypes. QTLs and the genes identified in this study could be effective tools in marker-assisted breeding targeted at pyramiding seed oil alleles from wild-species while minimizing introgression of non-target chromatin.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Baring MR et al. (2013) Variability of total oil content in peanut across the state of Texas. J. Crop Improv 27:125–126

    Article  CAS  Google Scholar 

  • Barker GC et al. (2007) Novel insights into seed fatty acid synthesis and modification pathways from genetic diversity and quantitative trait loci analysis of the Brassica C genome. Plant Physiol 144:1827–1842

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Beavis, WD (1998) QTL analyses: power, precision, and accuracy. In: Paterson AH, editor. Molecular dissection of complex traits CRC Press Inc, Boca Raton pp 145–162

  • Belamkar V et al. (2011) A first insight into population structure and linkage disequilibrium in the US peanut minicore collection. Genetica 139:411–429

    Article  PubMed  Google Scholar 

  • Bernacchi D et al. (1998a) Advanced backcross QTL analysis in tomato I. Identification of QTLs for traits of agronomic importance from Lycopersicon hirsutum. Theor Appl Genet 97:381–397

    Article  CAS  Google Scholar 

  • Bernacchi D et al. (1998b) Advanced backcross QTL analysis of tomato II. Evaluation of near-isogenic lines carrying single-donor introgressions for desirable wild QTL-alleles derived from Lycopersicon hirsutum and L. pimpinellifolium. Theor Appl Genet 97:170–180

    Article  CAS  Google Scholar 

  • Bernardo, R (2010) Breeding for quantitative traits in plants. Stemma Press, Woodbury, MN

  • Bertioli DJ et al. (2016) The genome sequences of Arachis duranensis and Arachis ipaensis, the diploid ancestors of cultivated peanut. Nat. Genet. doi:10.1038/ng.3517

    PubMed  Google Scholar 

  • Broman KW, Wu H, Sen Ś, Churchill GA (2003) R/qtl: QTL mapping in experimental crosses. Bioinformatics 19:889–890

    Article  CAS  PubMed  Google Scholar 

  • Brothers AN et al. (2013) Genetic architecture of floral traits in Iris hexagona and Iris fulva. J Hered 104:853–861

    Article  PubMed  Google Scholar 

  • Burow MD, Simpson CE, Starr JL, Paterson AH (2001) Transmission of genetics of chromatin from a synthetic amphidiploid to cultivated peanut (Arachis hypogaea L.): broadening the gene pool of a monophyletic polyploid species. Genetics 159:823–837

    CAS  PubMed  PubMed Central  Google Scholar 

  • Burow, M.D et al (2013) Marker-Assisted selection for biotic stress resistance in peanut. In: Varshney RK, and Tuberosa R, editors. Translational genomics for crop breeding: biotic stress, Vol I. John Wiley & Sons Ltd, Chichester. doi:10.1002/9781118728475.ch8

  • Burow, MD et al (2014a). Identification of additional FAD2 genes plus DGAT genes in peanut and mapping QTLs for fatty acid composition in peanut. 46th Annual Meeting of the American Peanut Research and Education Society, San Antonio, Texas. 10 July 2014. Paper 72

  • Burow MD et al. (2014b) Introgression of homeologous quantitative trait loci (QTLs) for resistance to the root-knot nematode [Meloidogyne arenaria (Neal) Chitwood] in an advanced backcross-QTL population of peanut (Arachis hypogaea L.). Mol. Breeding 34:393–406

    Article  CAS  Google Scholar 

  • Chai G et al. (2010) Brassica GLABRA2 genes: analysis of function related to seed oil content and development of functional markers. Theor. Appl. Genet 120:1597–1610

    Article  CAS  PubMed  Google Scholar 

  • Chopra R et al. (2015) Next-generation transcriptome sequencing, SNP discovery and validation in four market classes of peanut, Arachis hypogaea L. Mol. Genetics and. Genomics 290:1169–1180

    CAS  Google Scholar 

  • Davis JP, Geller D, Faircloth WH, Sanders TH (2009) Comparisons of biodiesel produced from unrefined oils of different peanut cultivars. J Am Oil Chem Soc 86:252–236

    Article  Google Scholar 

  • Eskandari M, Cober ER, Rajcan I (2013a) Genetic control of soybean oil I: QTL and genes associated with seed oil accumulation in RIL populations derived from crossing moderately high-oil parents. Theor Appl Genet 126:483–495

    Article  CAS  PubMed  Google Scholar 

  • Eskandari M, Cober ER, Rajcan I (2013b) Using the candidate gene approach for detecting genes underlying seed oil concentration and yield in soybean. Theor Appl Genet 126(7):1839–1850

  • Fulton TM et al. (2000) Advanced backcross QTL analysis of a Lycopersicon esculentum x Lycopersicon parviflorum cross. Theor Appl Genet 100:1025–1042

    Article  CAS  Google Scholar 

  • Goh T et al. (2007) VPS9a, the common activator for two distinct types of Rab5 GTPases, is essential for the development of Arabidopsis thaliana. Plant Cell 19:3504–3515

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Gomez, SM et al (2008) Towards and integrated SSR/RFLP map of tetraploid peanut. Third International Conference of the Peanut Research Community, ICRASAT, Hyderabad, Andhra Pradesh, India. 4–8 Nov. 2008. Paper 21

  • Gomez SM, Narayana M, Schubert AM, Ayers JL, Baring MR, Burow MD (2009) Identification of QTLs for pod and kernel traits in cultivated peanut by bulked segregant analysis. Electr J Biotech 12(2):1–10

  • Graef G et al. (2009) A high-oleic and low-palmitic-acid soybean: agronomic performance and evaluation as a feedstock for biodiesel. Plant Biotechnology J. 7:411–421

    Article  CAS  Google Scholar 

  • Isleib TG, Pattee HE, Giesbrecht FG (2004) Oil, sugar, and starch characteristics in peanut breeding lines selected for low and high oil content and their combining ability. J Agric Food Chem 52:3165–3168

    Article  CAS  PubMed  Google Scholar 

  • Isleib TG, Wilson RF, Novitzky WP (2006) Partial dominance, pleiotropism, and epistasis in the inheritance of the high-oleate trait in peanut. Crop Sci 46:1331–1335

    Article  CAS  Google Scholar 

  • Jing Z et al. (2010) QTL analysis of yield-related traits using an advanced backcross population derived from common wild rice (Oryza rufipogon L). Mol. Plant Breed 1:2–10

    Google Scholar 

  • Jung S, Powell G, Moore K, Abbott A (2000) The high oleate trait in the cultivated peanut [Arachis hypogaea L.] II. Molecular basis and genetics of the trait. Mol Gen Genet 263:806–811

    Article  CAS  PubMed  Google Scholar 

  • Jungman, B (2000) The effect of fatty acid profiles on peanut seed germination at low soil temperatures. M.S. thesis., Texas Tech Univ., Lubbock

  • Lardizabal K et al. (2008) Expression of Umbelopsis ramanniana DGAT2A in seed increases oil in soybean. Plant Physiol 148:89–96

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Larson SR, Mayland HF (2007) Comparative mapping of fiber, protein, and mineral content QTLs in two interspecific Leymus wild rye full-sib families. Mol Breeding 20:331–347

    Article  CAS  Google Scholar 

  • Liu YF et al. (2014) Soybean GmMYB73 promotes lipid accumulation in transgenic plants. BMC Plant Biol 14:–73

  • López Y et al. (2000) Isolation and characterization of the Δ12-fatty acid desaturase in peanut (Arachis hypogaea L.) and search for polymorphisms for the high oleate trait in Spanish market-type lines. Theor Appl Genet 101:1131–1138

    Article  Google Scholar 

  • López Y, Smith OD, Senseman SA, Rooney WL (2001) Genetic factors influencing high O/L acid content in Spanish market-type peanut cultivars. Crop Sci 41:51–56

    Article  Google Scholar 

  • Lung SC, Weselake RJ (2006) Diacylglycerol acyltransferase: a key mediator of plant triacylglycerol synthesis. Lipids 41:1073–1088

    Article  CAS  PubMed  Google Scholar 

  • Mergeai G (2006) Cotton improvement through interspecific hybridization. Cahiers. Agri 15:135–143

    Google Scholar 

  • Moore KM, Knauft DA (1989) The inheritance of high oleic acid in peanut. Jour Hered. 80:252–253

    Article  Google Scholar 

  • Norden AJ, Lipscomb RW, Carver WA (1969) Registration of ‘Florunner’ peanuts. Crop Sci 9:850

  • O’Byrne DJ, Knauft DA, Shireman RB (1997) Low fat monounsaturated rich diets containing high-oleic peanuts improve serum lipoprotein profiles. Lipids 32:687–695

    Article  PubMed  Google Scholar 

  • Pandey MS et al. (2014) Identification of QTLs associated with oil content and mapping FAD2 genes and their relative contribution to oil quality in peanut (Arachis hypogaea L. BMC Genet 15:–133

  • Percival AE, Wendel JF, Stewert JM (1999) Taxonomy and germplasm resources. In: Smith CW, Cothren JT (eds) Cotton: Origin, history, technology, and production. John Wiley & Sons, New York, pp. 33–63

    Google Scholar 

  • Ramos MJ et al. (2009) Influence of fatty acid composition of raw materials on biodiesel properties. Bioresource Tech 100:261–268

    Article  CAS  Google Scholar 

  • Ros E, Mataix J (2006) Fatty acid composition of nuts – implications for cardiovascular health. British. J Nutr 96:S29–S35

    Article  CAS  Google Scholar 

  • Saha S, Enugutti B, Rajakumari S, Rajasekharan R (2006) Cytosolic triacylglycerol biosynthetic pathway in oilseeds. Molecular cloning and expression of peanut cytosolic diacylglycerol acyltransferace. Plant Physiol 141:1533–1543

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sarvamangala C, Gowda MVC, Varshney RK (2011) Identification of quantitative trait loci for protein content, oil content and oil quality in groundnut (Arachis hypogaea L. Field Crops Res 122:49–59

    Article  Google Scholar 

  • Schuelke M (2000) An economic method for the fluorescent labeling of PCR fragments. Nature Biotech 18:233–234

    Article  CAS  Google Scholar 

  • Selvaraj MG et al. (2009) Identification of QTLs for pod and kernel traits in cultivated peanut by bulked segregant analysis. Electronic J. Of. Biotech 12. doi:10.2225/vol12

  • Shen B, Sinkevicius KW, Selinger DA, Tarczynski MC (2006) The homeobox gene GLABRA2 affects seed oil content in Arabidopsis. Plant Mol Biol 60:377–387

    Article  CAS  PubMed  Google Scholar 

  • Shi L et al. (2012) Arabidopsis glabra2 mutant seeds deficient in mucilage biosynthesis produce more oil. Plant J 69:37–46

    Article  CAS  PubMed  Google Scholar 

  • Simpson CE (1991) Pathways for introgression of pest resistance into Arachis hypogaea L. Peanut Sci. 18:22–26

    Article  Google Scholar 

  • Simpson CE, Starr JL (2001) Registration of ‘COAN’ peanut. Crop Sci 41:918

  • Simpson CE et al. (1993) Registration of ‘TxAG-6’ and ‘TxAG-7’ peanut germplasm. Crop Sci 33:–1418

  • Tanksley SD, Nelson JC (1996) Advanced backcross QTL analysis: a method for the transfer of valuable QTLs from unadapted germplasm into elite breeding lines. Theor Appl Genet 92:191–203

    Article  CAS  PubMed  Google Scholar 

  • Tian F et al. (2006) Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (O. sativa L.) background and characterization of introgressed segments associated with yield-related traits. Theor. Appl. Genet 112:570–580

    CAS  Google Scholar 

  • Vassiliou EK et al. (2009) Oleic acid and peanut oil high in oleic acid reverse the inhibitory effect of insulin production of the inflammatory cytokine TNF-alpha both in vitro and in vivo systems. Lipids Health Dis 8:–25

  • Wang ML et al. (2015) Genetic mapping of QTLs controlling fatty acids provided insights into genetic control of fatty acid synthesis pathway in peanut (Arachis hypogaea L.). Plos One. doi:10.1371/journal.pone.0119454

    Google Scholar 

  • Wilson JN et al. (2013a) Generation means analysis of fatty acid composition in peanut. J. Crop Improv 27:430–443

    Article  CAS  Google Scholar 

  • Wilson JN et al. (2013b) Diallel analysis of oil production components in peanut (Arachis hypogaea L.). Int J Agro. doi:10.1155/2013/975701

    Google Scholar 

  • Wilson JN et al. (2013c) Generation means analysis of oil concentration in peanut. J. Crop Improv 27:85–95

    Article  CAS  Google Scholar 

  • Xiang L, Etxeberria E, Van den Ende W (2013) Vacuolar protein sorting mechanisms in plants. FEBS J 280:979–993. doi:10.1111/febs.12092

    Article  CAS  PubMed  Google Scholar 

  • Zheng P et al. (2008) A phenylalanine in DGAT is key determinant of oil content and composition in maize. Nat Genet 40:367–372

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This work was funded by USDA/NIFA award TEX08835 to MDB, National Peanut Board award #329/TX-99 to MRB, MDB, and CES, and through support provided by the Office of Agriculture, Research and Policy, Bureau of Food Security, U.S. Agency for International Development, under the terms of Award No. AID-ECG-A-00-07-0001 to The University of Georgia as management entity for the U.S. Feed the Future Innovation Lab on Peanut Productivity and Mycotoxin Control.  The opinions expressed herein are those of the author(s) and do not necessarily reflect the views of the U.S. Agency for International Development. 

Author information

Authors and Affiliations

  1. Texas A&M AgriLife Research, College Station, TX, 77843, USA

    Jeffrey N. Wilson & Michael R. Baring

  2. Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, 79409, USA

    Ratan Chopra, Michael Gomez Selvaraj, Jennifer Chagoya & Mark D. Burow

  3. Texas A&M AgriLife Research, Stephenville, TX, 76401, USA

    Charles E. Simpson

  4. Texas A&M AgriLife Research, Lubbock, TX, 79403, USA

    Mark D. Burow

Authors
  1. Jeffrey N. Wilson
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ratan Chopra
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Michael R. Baring
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Michael Gomez Selvaraj
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Charles E. Simpson
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jennifer Chagoya
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Mark D. Burow
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mark D. Burow.

Additional information

Communicated by: Ray Ming

Key message: QTLs, some with large phenotypic effects, were observed for oil and fatty acid concentrations. Marker PM36 mapped directly to a HD-ZIP transcription factor in diploid Arachis genome sequences.

Electronic supplementary material

Table S1

(DOCX 18 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wilson, J.N., Chopra, R., Baring, M.R. et al. Advanced Backcross Quantitative Trait Loci (QTL) Analysis of Oil Concentration and Oil Quality Traits in Peanut (Arachis hypogaea L.). Tropical Plant Biol. 10, 1–17 (2017). https://doi.org/10.1007/s12042-016-9180-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12042-016-9180-5

Keywords

Search

Navigation