| 000 | 02967nab|a22003737a|4500 | ||
|---|---|---|---|
| 999 |
_c63365 _d63357 |
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| 001 | 63365 | ||
| 003 | MX-TxCIM | ||
| 005 | 20211006085223.0 | ||
| 008 | 201209s2021||||xxk|||p|op||||00||0|eng|d | ||
| 022 | _a2045-2322 | ||
| 024 | 8 | _ahttps://doi.org/10.1038/s41598-021-81637-2 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 0 |
_aWei Fu _918614 |
|
| 245 | 1 | 0 | _aEvaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics |
| 260 |
_aLondon (United Kingdom) : _bNature Publishing Group, _c2021. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aGenetic engineering (GM) has great potential to improve maize productivity, but rises some concerns on unintended effects, and equivalent as their comparators. There are some limitations through targeted analysis to detect the UE in genetically modified organisms in many previous studies. We here reported a case-study on the effects of introducing herbicides and insect resistance (HIR) gene cassette on molecular profiling (transcripts and metabolites) in a popular maize variety Zhengdan958 (ZD958) in China. We found that introducing HIR gene cassette bring a limited numbers of differential abundant genes (DAGs) or differential abundant metabolites (DAMs) between transgenic events and non-transgenic control. In contrast, averaged 10 times more DAGs and DAMs were observed when performed comparison under different growing environments in three different ecological regions of China than the numbers induced by gene effects. Major biological pathways relating to stress response or signaling transduction could explain somehow the effects of growing environments. We further compared two transgenic events mediated ZD958 (GM-ZD958) with either transgenic parent GM-Z58, and other genetic background nonGM-Z58, nonGM-ZD958, and Chang7-2. We found that the numbers of DAGs and DAMs between GM-ZD958 and its one parent maize variety, Z58 or GM-Z58 is equivalent, but not Chang7-2. These findings suggest that greater effects due to different genetic background on altered molecular profiling than gene modification itself. This study provides a case evidence indicating marginal effects of gene pleiotropic effects, and environmental effects should be emphasized. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_aTransgenic plants _2AGROVOC _94329 |
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| 650 | 7 |
_aMaize _gAGROVOC _2 _91173 |
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| 650 | 7 |
_aPlant biotechnology _2AGROVOC _98056 |
|
| 650 | 7 |
_aGenetic engineering _2AGROVOC _98831 |
|
| 700 | 0 |
_aPengyu Zhu _918615 |
|
| 700 | 0 |
_aMingnan Qu _918616 |
|
| 700 | 0 |
_aZhi Wang _918606 |
|
| 700 | 0 |
_aYongjiang Zhang _918617 |
|
| 700 | 0 |
_aFeiwu Li _918618 |
|
| 700 | 0 |
_aShuifang Zhu _918619 |
|
| 773 | 0 |
_gv. 11, art. 2050 _dLondon (United Kingdom) : Nature Publishing Group, 2021. _x2045-2322 _tNature Scientific Reports _wa58025 |
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| 856 | 4 |
_yClick here to access online _uhttps://doi.org/10.1038/s41598-021-81637-2 |
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| 942 |
_cJA _n0 _2ddc |
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