Frameshift mutation events in β-glucosidases

Back-translation for discovering distant protein homologies in the presence of frameshift mutations

Background

Frameshift mutations in protein-coding DNA sequences produce a drastic change in the resulting protein sequence, which prevents classic protein alignment methods from revealing the proteins' common origin. Moreover, when a large number of substitutions are additionally involved in the divergence, the homology detection becomes difficult even at the DNA level.

Results

We developed a novel method to infer distant homology relations of two proteins, that accounts for frameshift and point mutations that may have affected the coding sequences. We design a dynamic programming alignment algorithm over memory-efficient graph representations of the complete set of putative DNA sequences of each protein, with the goal of determining the two putative DNA sequences which have the best scoring alignment under a powerful scoring system designed to reflect the most probable evolutionary process. Our implementation is freely available at http://bioinfo.lifl.fr/path/.

Conclusions

Our approach allows to uncover evolutionary information that is not captured by traditional alignment methods, which is confirmed by biologically significant examples.

Analysis of plasma membrane proteome in soybean and application to flooding stress response

The plasma membrane acts as the primary interface between the cellular cytoplasm and the extracellular environment. To investigate the function of the plasma membrane in response to flooding stress, plasma membrane was purified from root and hypocotyl of soybean seedlings using an aqueous two-phase partitioning method. Purified plasma membrane proteins with 81% purity were analyzed using either two-dimensional polyacrylamide gel electrophoresis followed by mass spectrometry and protein sequencing (2-DE MS/sequencer)-based proteomics or nanoliquid chromatography followed by mass spectrometry (nanoLC-MS/MS)-based proteomics. The number of hydrophobic proteins identified by nanoLC-MS/MS-based proteomics was compared with those identified by 2-DE MS/sequencer-based proteomics. These techniques were applied to identify the proteins in soybean that are responsive to flooding stress. Results indicate insights of plasma membrane into the response of soybean to flooding stress: (i) the proteins located in the cell wall are up-regulated in plasma membrane; (ii) the proteins related to antioxidative system play a crucial role in protecting cells from oxidative damage; (iii) the heat shock cognate protein plays a role in protecting proteins from denaturation and degradation during flooding stress; and (iv) the signaling related proteins might regulate ion homeostasis.