Multi-gene metabolic engineering of tomato plants results in increased fruit yield up to 23%.
Multi-gene metabolic engineering of tomato plants results in increased fruit yield up to 23%.
复制标题
对番茄植株进行多基因代谢工程,可使果实产量提高23%。
DOI:
10.1038/s41598-020-73709-6
复制
发表时间:
2020-10-14
影响因子:
4.6
通讯作者:
Fernie AR
中科院分区:
文献类型:
--
作者:
Vallarino JG;Kubiszewski-Jakubiak S;Ruf S;Rößner M;Timm S;Bauwe H;Carrari F;Rentsch D;Bock R;Sweetlove LJ;Fernie AR
The capacity to assimilate carbon and nitrogen, to transport the resultant sugars and amino acids to sink tissues, and to convert the incoming sugars and amino acids into storage compounds in the sink tissues, are key determinants of crop yield. Given that all of these processes have the potential to co-limit growth, multiple genetic interventions in source and sink tissues, plus transport processes may be necessary to reach the full yield potential of a crop. We used biolistic combinatorial co-transformation (up to 20 transgenes) for increasing C and N flows with the purpose of increasing tomato fruit yield. We observed an increased fruit yield of up to 23%. To better explore the reconfiguration of metabolic networks in these transformants, we generated a dataset encompassing physiological parameters, gene expression and metabolite profiling on plants grown under glasshouse or polytunnel conditions. A Sparse Partial Least Squares regression model was able to explain the combination of genes that contributed to increased fruit yield. This combinatorial study of multiple transgenes targeting primary metabolism thus offers opportunities to probe the genetic basis of metabolic and phenotypic variation, providing insight into the difficulties in choosing the correct combination of targets for engineering increased fruit yield.
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影响因子:
4.6
作者:
Ding F;Wang M;Zhang S;Ai X
通讯作者:
Ai X
影响因子:
3.7
作者:
Barnaby JY;Kim M;Bauchan G;Bunce J;Reddy V;Sicher RC
通讯作者:
Sicher RC
DOI:
10.1098/rstb.2016.0384
发表时间:
2017-09-26
期刊:
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子:
--
作者:
Driever SM;Simkin AJ;Alotaibi S;Fisk SJ;Madgwick PJ;Sparks CA;Jones HD;Lawson T;Parry MAJ;Raines CA
通讯作者:
Raines CA
影响因子:
7.3
作者:
Büttner, M;Truernit, E;Sauer, N
通讯作者:
Sauer, N
影响因子:
9.4
作者:
Bezrutczyk, Margaret;Hartwig, Thomas;Sosso, Davide
通讯作者:
Sosso, Davide