000 | 02885nab|a22004097a|4500 | ||
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001 | 66253 | ||
003 | MX-TxCIM | ||
005 | 20230428160110.0 | ||
008 | 20234s2023||||mx |||p|op||||00||0|eng|d | ||
022 | _a1471-2229 | ||
024 | 8 | _ahttps://doi.org/10.1186/s12870-023-04188-w | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 0 |
_aRunmiao Tian _930758 |
|
245 | 1 | 0 | _aMulti-omic characterization of the maize GPI synthesis mutant gwt1 with defects in kernel development |
260 |
_bBioMed Central, _c2023. _aLondon (United Kingdom) : |
||
500 | _aPeer review | ||
500 | _aOpen Access | ||
520 | _aBackground: Glycosylphosphatidylinositol (GPI) and GPI-anchored proteins (GAPs) are important for cell wall formation and reproductive development in Arabidopsis. However, monocot counterparts that function in kernel endosperm development have yet to be discovered. Here, we performed a multi-omic analysis to explore the function of GPI related genes on kernel development in maize. Results: In maize, 48 counterparts of human GPI synthesis and lipid remodeling genes were identified, in which null mutation of the glucosaminyl-phosphatidylinositol O-acyltransferase1 gene, ZmGWT1, caused a kernel mutant (named gwt1) with defects in the basal endosperm transport layer (BETL). We performed plasma membrane (PM) proteomics to characterize the potential GAPs involved in kernel development. In total, 4,981 proteins were successfully identified in 10-DAP gwt1 kernels of mutant and wild-type (WT), including 1,638 membrane-anchored proteins with different posttranslational modifications. Forty-seven of the 256 predicted GAPs were differentially accumulated between gwt1 and WT. Two predicted BETL-specific GAPs (Zm00001d018837 and Zm00001d049834), which kept similar abundance at general proteome but with significantly decreased abundance at membrane proteome in gwt1 were highlighted. Conclusions: Our results show the importance of GPI and GAPs for endosperm development and provide candidate genes for further investigation of the regulatory network in which ZmGWT1 participates. | ||
546 | _aText in English | ||
650 | 7 |
_aMaize _2AGROVOC _91173 |
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650 | 7 |
_aEndosperm _2AGROVOC _91097 |
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650 | 7 |
_aMembranes _2AGROVOC _930759 |
|
650 | 7 |
_aProteomics _2AGROVOC _918275 |
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650 | 7 |
_aTranscriptomics _2AGROVOC _930116 |
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700 | 0 |
_aJianjun Jiang _930760 |
|
700 | 1 |
_aShirong Bo _930761 |
|
700 | 0 |
_aHui Zhang _929229 |
|
700 | 0 |
_aXuehai Zhang _919695 |
|
700 | 1 |
_aHearne, S. _8INT3287 _9912 _gGenetic Resources Program |
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700 | 0 |
_aJihua Tang _919697 |
|
700 | 0 |
_aDong Ding _930762 |
|
700 | 0 |
_aZhiyuan Fu _919693 |
|
773 | 0 |
_tBMC Plant Biology _gv. 23, no. 1, p. 191 _dLondon (United Kingdom) : BioMed Central, 2023 _wG79387 _x1471-2229 |
|
856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22580 |
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942 |
_cJA _n0 _2ddc |
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999 |
_c66253 _d66245 |