| 000 | 02449nab a22004577a 4500 | ||
|---|---|---|---|
| 999 |
_c30900 _d30900 |
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| 001 | G99593 | ||
| 003 | MX-TxCIM | ||
| 005 | 20201201161424.0 | ||
| 008 | 121211b |||p||p||||||| |z||| | | ||
| 022 | _a1476-4687 (Revista en electrónico) | ||
| 022 | 0 | _a0028-0836 | |
| 024 | 8 | _ahttps://doi.org/10.1038/ncomms4438 | |
| 040 | _aMX-TxCIM | ||
| 041 | 0 | _aEn | |
| 100 | 1 | _aWeiwei Wen | |
| 245 | 1 | 0 | _aMetabolome-based genome-wide association study of maize kernel leads to novel biochemical insights |
| 260 | _c2014 | ||
| 500 | _aPeer-review: Yes - Open Access: Yes | http://ip-science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0028-0836 | ||
| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aPlants produce a variety of metabolites that have a critical role in growth and development. Here we present a comprehensive study of maize metabolism, combining genetic, metabolite and expression profiling methodologies to dissect the genetic basis of metabolic diversity in maize kernels. We quantify 983 metabolite features in 702 maize genotypes planted at multiple locations. We identify 1,459 significant locus?trait associations (P≤1.8 ? 10−6) across three environments through metabolite-based genome-wide association mapping. Most (58.5%) of the identified loci are supported by expression QTLs, and some (14.7%) are validated through linkage mapping. Re-sequencing and candidate gene association analysis identifies potential causal variants for five candidate genes involved in metabolic traits. Two of these genes were further validated by mutant and transgenic analysis. Metabolite features associated with kernel weight could be used as biomarkers to facilitate genetic improvement of maize. | ||
| 536 | _aGenetic Resources Program | ||
| 546 | _aEnglish | ||
| 591 | _aNature|CIMMYT Informa No. 1919 | ||
| 594 | _aCLIH01 | ||
| 595 | _aCSC | ||
| 650 | 1 | 0 | _aBiological Sciences |
| 650 | 7 |
_aPlant sciences _91214 _2AGROVOC |
|
| 650 | 7 |
_91130 _aGenetics _2AGROVOC |
|
| 650 | 7 |
_91853 _aQuantitative Trait Loci _2AGROVOC |
|
| 650 | 7 |
_98948 _aMetabolites _2AGROVOC |
|
| 700 | 1 |
_aDong Li, _ecoaut. |
|
| 700 | 1 |
_aHaijun Liu, _ecoaut. |
|
| 700 | 1 |
_9398 _aJianbing Yan |
|
| 700 | 1 |
_aJie Liu, _ecoaut. |
|
| 700 | 1 |
_aJie Luo, _ecoaut. |
|
| 700 | 1 |
_aWei Chen, _ecoaut. _92613 |
|
| 700 | 1 |
_aWenqiang Li, _ecoaut. |
|
| 700 | 1 |
_aXiang Li, _ecoaut. |
|
| 700 | 1 |
_aYanqiang Gao, _ecoaut. |
|
| 700 | 1 |
_9764 _aHuihui Li _gGenetic Resources Program _8CLIH01 |
|
| 773 | 0 |
_tNature _gv. 5, p. 3438 |
|
| 856 | 4 |
_uhttps://hdl.handle.net/10883/19739 _yOpen Access through DSpace |
|
| 942 |
_cJA _2ddc _n0 |
||