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. 2016 Jan 18;6:674–679. doi: 10.1016/j.dib.2016.01.020

Nucleotide sequence alignment of hdcA from Gram-positive bacteria

Maria Diaz 1, Victor Ladero 1,, Begoña Redruello 1, Esther Sanchez-Llana 1, Beatriz del Rio 1, Maria Fernandez 1, Maria Cruz Martin 1, Miguel A Alvarez 1
PMCID: PMC4773395  PMID: 26958625

Abstract

The decarboxylation of histidine -carried out mainly by some gram-positive bacteria- yields the toxic dietary biogenic amine histamine (Ladero et al. 2010 〈10.2174/157340110791233256[1], Linares et al. 2016 〈http://dx.doi.org/10.1016/j.foodchem.2015.11.013〉[2]). The reaction is catalyzed by a pyruvoyl-dependent histidine decarboxylase (Linares et al. 2011 〈10.1080/10408398.2011.582813[3]), which is encoded by the gene hdcA. In order to locate conserved regions in the hdcA gene of Gram-positive bacteria, this article provides a nucleotide sequence alignment of all the hdcA sequences from Gram-positive bacteria present in databases. For further utility and discussion, see 〈http://dx.doi.org/ 10.1016/j.foodcont.2015.11.035〉[4].


Specifications table

Subject area Microbiology
More specific subject area Food microbiology
Type of data Figure
How data was acquired Retrieved from databases
Data format Analyzed
Experimental factors The nucleotide sequences were retrieved from NCBI database shown below
Experimental features Sequences were aligned using ClustalW software and visualized using Jalview v.2 programme.
Data source location N/A
Data accessibility Data with article

Value of the data

  • Identification of Gram-positive bacteria hdcA gene present at databases.

  • Sequence alignment defines conserved and variable regions within the hdcA sequence.

  • Obtained data allowed to design primers within hdcA conserved regions -flanking variable ones- that can be used to identify histamine-producing species in food matrices by PCR-DGGE.

1. Data

Full-length hdcA sequences of the histamine-producing Gram-positive bacteria strains present in Genbank database were aligned using ClustalW software [5]. Based on the alignment of these sequences Fig. 1 was made and primers used in Diaz et al. 2016 [4] were designed. For reasoning and further utility and discussion, see [1], [2], [3], [4].

Fig. 1.

Fig. 1

Fig. 1

Fig. 1

hdcA sequences of Gram-positive bacteria strains, which are indicated in Table 1, were aligned using ClustalW software. The bacterial species are indicated at the left of each sequence. The gray tones correspond to the percentage of residues in each column that agree with a hypothetical consensus sequence: Image 1>80%, Image 2>60%, Image 3>40%, Image 4<40%. Selected regions for primer design are indicated with a box.

2. Experimental design, materials and methods

Sequence data were obtained from NCBI (http://www.ncbi.nlm.nih.gov/) database. Full-length hdcA sequences of representative histamine-producing Gram-positive bacteria strains present in database were selected for the alignment (Table 1). The sequences were aligned by DNA multiple sequence alignment ClustalW software using default parameters [5]. The visualization, which included the percentage of conservation of each residue was obtained using Jalview v.2 programme [6].

Table 1.

Accession numbers of the hdcA gene sequences of representative histamine-producing Gram-positive bacteria strains present in database used for the alignment.

hdc+species Accession number
Staphylococcus epidermidis GeneBank: AB583189
Lactobacillus fructivorans GeneBank: NZ_JOJZ01000009
Lactobacillus reuteri IPLA11078 GeneBank: LN877767
L. reuteri DSM20016 GeneBank: NC009513
Streptococcus thermophilus GeneBank: FN686789
Lactobacillus saerimneri 30a GeneBank: NZ_ANAG0000000
Lactobacillus vaginalis GeneBank: LN828720
Tetragenococcus halophilus GeneBank: AB362339
Tetragenococcus muriaticus GeneBank: DQ132889
Oenococcus oeni GeneBank: DQ132887
Lactobacillus sakei GeneBank: DQ132888
Lactobacillus hilgardii GeneBank: AY651779
Lactobacillus parabuchneri GeneBank: LN877764
Staphylococcus capitis GeneBank: AM283479
Clostridium perfringens GeneBank: BA000016

Acknowledgments

This work was performed with the financial support of the Spanish Ministry of Economy and Competitiveness (AGL2013-45431-R) and the Plan for Science, Technology and Innovation 2013-2017 of the Principality of Asturias, which is co-funded by the European Regional Development Fund (GRUPIN14-137). M.D. was a beneficiary of an FPI fellowship from the Spanish Ministry of Economy and Competitiveness.

Footnotes

Appendix A

Supplementary data associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.dib.2016.01.020..

Appendix A. Supplementary material

Supplementary material

mmc1.docx (38.8KB, docx)

References

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary material

mmc1.docx (38.8KB, docx)

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