000 | 02943nab a22004097a 4500 | ||
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999 |
_c58190 _d58182 |
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001 | 58190 | ||
003 | MX-TxCIM | ||
005 | 20230105211133.0 | ||
008 | 150723s2016 xxu|||po p||| 00| 0 eng d | ||
024 | 8 | _ahttps://doi.org/10.1371/journal.pone.0155760 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_92083 _aBajgain, P. |
|
245 | 1 | 0 |
_aNested association mapping of stem rust resistance in wheat using genotyping by sequencing _h[Electronic Resource] |
260 |
_aSan Francisco, USA : _bPublic Library of Science, _c2016. |
||
500 | _aOpen Access | ||
500 | _aPeer review | ||
520 | _aWe combined the recently developed genotyping by sequencing (GBS) method with joint mapping (also known as nested association mapping) to dissect and understand the genetic architecture controlling stem rust resistance in wheat (Triticum aestivum). Ten stem rust resistant wheat varieties were crossed to the susceptible line LMPG-6 to generate F6 recombinant inbred lines. The recombinant inbred line populations were phenotyped in Kenya, South Africa, and St. Paul, Minnesota, USA. By joint mapping of the 10 populations, we identified 59 minor and medium-effect QTL (explained phenotypic variance range of 1% – 20%) on 20 chromosomes that contributed towards adult plant resistance to North American Pgt races as well as the highly virulent Ug99 race group. Fifteen of the 59 QTL were detected in multiple environments. No epistatic relationship was detected among the QTL. While these numerous small- to medium-effect QTL are shared among the families, the founder parents were found to have different allelic effects for the QTL. Fourteen QTL identified by joint mapping were also detected in single-population mapping. As these QTL were mapped using SNP markers with known locations on the physical chromosomes, the genomic regions identified with QTL could be explored more in depth to discover candidate genes for stem rust resistance. The use of GBS-derived de novo SNPs in mapping resistance to stem rust shown in this study could be used as a model to conduct similar markertrait association studies in other plant species. | ||
526 |
_aWC _cFP3 |
||
546 | _aText in English | ||
650 | 7 |
_94077 _aSteaming |
|
650 | 7 |
_91134 _aGenotypes _2AGROVOC |
|
650 | 7 |
_aRusts _gAGROVOC _2 _91251 |
|
650 | 7 |
_aDisease resistance _gAGROVOC _2 _91077 |
|
650 | 7 |
_91853 _aQuantitative Trait Loci _2AGROVOC |
|
650 | 7 |
_94190 _aGenetic maps _gAGROVOC |
|
650 | 0 |
_aDNA Sequences _gAGROVOC _98666 |
|
700 | 1 |
_91699 _aRouse, M.N. |
|
700 | 1 |
_94078 _aTsilo, T.J. |
|
700 | 1 |
_92971 _aMacharia, G. |
|
700 | 1 |
_9867 _aBhavani, S. _gGlobal Wheat Program _8INT2843 |
|
700 | 0 |
_91696 _aYue Jin |
|
700 | 1 |
_92085 _aAnderson, J.A. |
|
773 | 0 |
_wu94957 _dSan Francisco, CA (USA) : Public Library of Science _tPLoS One _gv. 11, no. 5 : e0155760 |
|
856 | 4 |
_uhttp://hdl.handle.net/10883/18129 _yOpen Access through DSpace |
|
942 |
_2ddc _cJA _n0 |