| 000 | 03943nab|a22005537a|4500 | ||
|---|---|---|---|
| 001 | 67972 | ||
| 003 | MX-TxCIM | ||
| 005 | 20241126102554.0 | ||
| 008 | 20249s2024||||mx |||p|op||||00||0|eng|d | ||
| 022 | _a1664-8021 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.3389/fgene.2024.1431043 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 0 |
_aJingtao Qu _917341 |
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| 245 | 1 | _aGenetic architecture of kernel-related traits in sweet and waxy maize revealed by genome-wide association analysis | |
| 260 |
_bFrontiers, _c2024. _aSwitzerland : |
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| 500 | _aPeer review | ||
| 520 | _aIntroduction Maize (Zea mays L.) is one of the most important crops worldwide, the kernel size-related traits are the major components of maize grain yield.Methods To dissect the genetic architecture of four kernel-related traits of 100-kernel weight, kernel length, kernel width, and kernel diameter, a genome-wide association study (GWAS) was conducted in the waxy and sweet maize panel comprising of 447 maize inbred lines re-sequenced at the 5x coverage depth. GWAS analysis was carried out with the mixed linear model using 1,684,029 high-quality SNP markers.Results In total, 49 SNPs significantly associated with the four kernel-related traits were identified, including 46 SNPs on chromosome 3, two SNPs on chromosome 4, and one SNP on chromosome 7. Haplotype regression analysis identified 338 haplotypes that significantly affected these four kernel-related traits. Genomic selection (GS) results revealed that a set of 10,000 SNPs and a training population size of 30% are sufficient for the application of GS in waxy and sweet maize breeding for kernel weight and kernel size. Forty candidate genes associated with the four kernel-related traits were identified, including both Zm00001d000707 and Zm00001d044139 expressed in the kernel development tissues and stages with unknown functions.Discussion These significant SNPs and important haplotypes provide valuable information for developing functional markers for the implementation of marker-assisted selection in breeding. The molecular mechanism of Zm00001d000707 and Zm00001d044139 regulating these kernel-related traits needs to be investigated further. | ||
| 546 | _aText in English | ||
| 591 | _aJingtao Qu : Not in IRS staff list but CIMMYT Affiliation | ||
| 591 | _aDiansi Yu : Not in IRS staff list but CIMMYT Affiliation | ||
| 591 | _aWei Gu : Not in IRS staff list but CIMMYT Affiliation | ||
| 591 | _aHuiyun Kuang : Not in IRS staff list but CIMMYT Affiliation | ||
| 591 | _aDongdong Dang : Not in IRS staff list but CIMMYT Affiliation | ||
| 591 | _aHui Wang : Not in IRS staff list but CIMMYT Affiliation | ||
| 591 | _aHongjian Zheng : Not in IRS staff list but CIMMYT Affiliation | ||
| 591 | _aYuan Guan : Not in IRS staff list but CIMMYT Affiliation | ||
| 650 | 7 |
_aKernels _2AGROVOC _91168 |
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| 650 | 7 |
_aHigh-throughput sequencing _2AGROVOC _934250 |
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| 650 | 7 |
_aGenome-wide association studies _2AGROVOC _931443 |
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| 650 | 7 |
_aMarker-assisted selection _910737 _2AGROVOC |
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| 650 | 7 |
_aMaize _2AGROVOC _91173 |
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| 700 | 0 |
_aDiansi Yu _914215 |
|
| 700 | 0 |
_aWei Gu _931610 |
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| 700 | 0 |
_aMuhammad Hayder Bin Khalid _937079 |
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| 700 | 0 |
_aHuiyun Kuang _937080 |
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| 700 | 0 |
_aDongdong Dang _929250 |
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| 700 | 0 |
_aHui Wang _94189 |
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| 700 | 1 |
_aPrasanna, B.M. _gGlobal Maize Program _8INT3057 _9887 |
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| 700 | 0 |
_aXuecai Zhang _gGlobal Maize Program _8INT3400 _9951 |
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| 700 | 0 |
_aAo Zhang _95943 |
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| 700 | 0 |
_aHongjian Zheng _93423 |
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| 700 | 0 |
_aYuan Guan _910975 |
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| 773 | 0 |
_tFrontiers in Genetics _gv. 15, art. 1431043 _dSwitzerland : Frontiers, 2024 _w58093 _x1664-8021 |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/35004 |
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| 942 |
_cJA _n0 _2ddc |
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_c67972 _d67964 |
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