In silico and in vivo studies of an Arabidopsis thaliana gene, ACR2, putatively involved in arsenic accumulation in plantsShow others and affiliations
2012 (English)In: Journal of Molecular Modeling, ISSN 1610-2940, E-ISSN 0948-5023, Vol. 18, no 9, p. 4249-4262Article in journal (Refereed) Published
Abstract [en]
Previously, our in silico analyses identified four candidate genes that might be involved in uptake and/or accumulation of arsenics in plants: arsenate reductase 2 (ACR2), phytochelatin synthase 1 (PCS1) and two multi-drug resistant proteins (MRP1 and MRP2) [Lund et al. (2010) J Biol Syst 18:223–224]. We also postulated that one of these four genes, ACR2, seems to play a central role in this process. To investigate further, we have constructed a 3D structure of the Arabidopsis thaliana ACR2 protein using the iterative implementation of the threading assembly refinement (I-TASSER) server. These analyses revealed that, for catalytic metabolism of arsenate, the arsenate binding-loop (AB-loop) and residues Phe-53, Phe-54, Cys-134, Cys-136, Cys-141, Cys-145, and Lys-135 are essential for reducing arsenate to arsenic intermediates (arsenylated enzyme-substrate intermediates) and arsenite in plants. Thus, functional predictions suggest that the ACR2 protein is involved in the conversion of arsenate to arsenite in plant cells. To validate the in silico results, we exposed a transfer-DNA (T-DNA)-tagged mutant of A. thaliana (mutation in the ACR2 gene) to various amounts of arsenic. Reverse transcriptase PCR revealed that the mutant exhibits significantly reduced expression of the ACR2 gene. Spectrophotometric analyses revealed that the amount of accumulated arsenic compounds in this mutant was approximately six times higher than that observed in control plants. The results obtained from in silico analyses are in complete agreement with those obtained in laboratory experiments.
Place, publisher, year, edition, pages
Springer, 2012. Vol. 18, no 9, p. 4249-4262
Keywords [en]
Arsenate reductase, In silico studies, In vivo analyses, ICP-DRC-MS, Arabidopsis thaliana
National Category
Biological Sciences
Research subject
Natural sciences
Identifiers
URN: urn:nbn:se:his:diva-6475DOI: 10.1007/s00894-012-1419-yISI: 000308114000025PubMedID: 22562211Scopus ID: 2-s2.0-84867581889OAI: oai:DiVA.org:his-6475DiVA, id: diva2:559377
Funder
Swedish Research Council Formas, 229-2007-217Sida - Swedish International Development Cooperation Agency, AKT-2010-018Royal Physiographic Society in Lund
Note
This research was supported financially partly by the Swedish Research Council for Environment, Agricultural Sciencesand Spatial Planning (FORMAS, grant no. 229-2007-217) and partly by the Swedish International Development Cooperation Agency (SIDA, grant no. AKT-2010-018). We also acknowledge a grant from the Nilsson-Ehle Foundation (The Royal Physiographic Society in Lund). We would like to thank the European Arabidopsis Stock Center, Nottingham (NASC) for providing us with their SALK mutants and The I-TASSER Server Team for providing us with their programs and software for computational analyses.
2012-10-092012-10-092023-04-27Bibliographically approved