Quantitative trait loci underlying the adhesion of Azospirillum brasilense cells to wheat roots
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The capacity to adhere Azospirillum brasilense cells on the seedling root is a variable trait in wheat varieties (Triticum aestivum L.). The parents of a CIMMYT bread wheat mapping population derived from the cross cv. Opata × synthetic hexaploid line WSHD67.2 (257) contrasted for this trait, providing an opportunity to determine its genetic basis. The capacity to adhere effectively was shown by 32 % of the mapping population individuals. A genetic map was constructed using 157 informative microsatellite loci and 1,356 SNP loci. The resulting quantitative trait loci (QTL) analysis identified four chromosomes as harboring loci associated with adhesion. Chromosome 1A was the site of both a major (LOD >3) and a minor (LOD 2–3) QTL, while the remaining four minor loci mapped to chromosomes 2D, 5A and 6B (two loci). QAdh.uabcs-1A.2 explained 8.6 % of the phenotypic variance and the full set of QTL explained 23.1 %. The source of the positive allele of QAdh.uabcs-1A.2 was cv. Opata. The recognition that adherence has a genetic component has consequences for the use of biofertilizers, and opens the way for breeding for improved levels of A. brasilense adherence.
KeywordsTriticum aestivum Biofertilizer Azospirillum brasilense Roots Illumina Wheat 9 K iSelect Beadchip
This research was funded by a grant from CONACYT from the Mexican Government (grant 36608-B) and the bilateral CONACYT-BMBF interchange program. We thank CIMMYT, Texcoco, Mexico, for providing the plant materials and Robert Koebner for language editing.
- Bashan Y, de-Bashan LE (2010) How the plant growth-promoting bacterium Azospirillum promotes plant growth—a critical assessment. Adv Agron 108:77–136Google Scholar
- Cavanagh CR, Chao S, Wang S, Huang BE, Stephen S, Kiani S, Forrest K, Saintenac C, Brown-Guedira GL, Akhunova A, See D, Bai G, Pumphrey M, Tomar L, Wong D, Kong S, Reynolds M, Lopey da Silva M, Bockelman H, Talbert L, Anderson JA, Dreisigacker S, Baenziger S, Carter A, Korzun V, Morrel PL, Dubcovsky J, Morell MK, Sorrels ME, Hayden MJ, Akhunov E (2013) Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars. Proc Natl Acad Sci USA 110:8057–8062PubMedCentralPubMedCrossRefGoogle Scholar
- Doyle JJ, Doyle JL (1990) Isolation of plant DNA from fresh tissue. Focus 12:13–15Google Scholar
- Kalagudi GM (2010) Mapping of paranodulation response QTL in rice. Jawaharlal Nehru Technological University. http://hdl.handle.net/10603/3463
- Kawahara Y, de la Bastide M, Hamilton JP, Kanamori H, McCombie WR, Ouyang S, Schwartz DC, Tanaka T, Wu J, Zhou S, Childs KL, Davidson RM, Lin H, Quesada-Ocampo L, Vaillancourt B, Sakai H, Lee SS, Kim J, Numa H, Itoh T, Buell CR, Matsumoto T (2013). Improvement of the Oryza sativa Nipponbare reference genome using next generation sequence and optical map data. Rice 6:4.Google Scholar
- Nosheen A, Bano A, Ullah F, Farooq U, Yasmin H, Hussain I (2011) Effect of plant growth promoting rhizobacteria on root morphology of safflower (Carthamus tinctorius L.). Afr J Biotechnol 10:12639–12649Google Scholar
- Remans R, Beebe S, Blair M, Manrique G, Tovar E, Rao I, Croonenborghs A, Torres-Gutierrez R, El-Howeity M, Michiels J, Vanderleyden J (2008) Physiological and genetic analysis of root responsiveness to auxin-producing plant growth-promoting bacteria in common bean (Phaseolus vulgaris L.). Plant Soil 302:149–161CrossRefGoogle Scholar
- Smith KP, Handelsman J, Goodman RM (1999) Genetic basis in plants for interactions with disease-suppressive bacteria. Agric Sci 96:4786–4790Google Scholar
- van Ooijen JW (2006) JoinMap ® 4, Software for the calculation of genetic linkage maps in experimental populations. Kyazma B.V, WageningenGoogle Scholar
- Vega NOW (2007) A review on beneficial effects of rhizosphere bacteria on soil nutrient availability and plant nutrient uptake. Rev Fac Nal Agr Medellín 60:3621–3643Google Scholar