A systems approach to identifying correlated gene targets for the loss of colour pigmentation in plants
2011

Identifying Gene Targets for Color Loss in Plants

publication Evidence: moderate

Author Information

Author(s): Clark Sangaalofa T, Verwoerd Wynand S

Primary Institution: Centre for Advanced Computational Solutions (CfACS), Agriculture and Life Sciences Division Lincoln University, Canterbury, New Zealand

Hypothesis

This study aims to identify correlated gene targets for the loss of color pigmentation in plants using mathematical and in silico methods.

Conclusion

The study found that various minimal cut sets (MCSs) for eliminating color pigmentation correspond to existing experimental observations, suggesting that these methods can effectively guide future experiments.

Supporting Evidence

  • Two minimal cut sets (MCSs) requiring the suppression of genes DFR and ANS correspond to observations of co-regulation in floral pigmentation.
  • Another MCS requiring CHS suppression aligns with findings that CHS suppression eliminates nearly all flavonoids without affecting floral scent production.

Takeaway

The researchers used math to figure out which genes to block in plants to make them lose their color, and their findings matched what scientists have seen in real plants.

Methodology

The study extracted a flavonoid subnetwork from the Arabidopsis metabolic network and calculated elementary modes (EMs) and minimal cut sets (MCSs) to analyze gene roles in color pigmentation.

Limitations

The reference state used for analysis is somewhat artificial and may not apply to all environmental situations or plant cells.

Digital Object Identifier (DOI)

10.1186/1471-2105-12-343

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