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Structure‐guided identification of antimicrobial peptides in the spathe transcriptome of the non‐model plant, arum lily ( Zantedeschia aethiopica )
Author(s) -
Pires Állan S.,
Rigueiras Pietra O.,
Dohms Stephan M.,
Porto William F.,
Franco Octavio L.
Publication year - 2019
Publication title -
chemical biology and drug design
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 77
eISSN - 1747-0285
pISSN - 1747-0277
DOI - 10.1111/cbdd.13498
Subject(s) - transcriptome , bract , biology , multilocus sequence typing , computational biology , gene , genetics , botany , dna sequencing , gene expression , genotype , inflorescence
Antimicrobial peptides ( AMP s) are small molecules present in all living beings. Despite their huge sequence variability, AMP s present great structural conservation, mainly in cysteine‐stabilized families. Moreover, in non‐model plants, it is possible to detect cysteine‐stabilized AMP s (cs‐ AMP s) with different sequences not covered by conventional searches. Here, we described a threading application for cs‐ AMP identification in the non‐model arum lily ( Zantedeschia aethiopica ) plant, exploring the spathe transcriptome. By using the predicted proteins from the Z. aethiopica transcriptome as our primary source of sequences, we have filtered by using structural alignments of 12 putative cs‐ AMP sequences. The two unreported sequences were submitted to PCR validation, and Za LTP 7 gene was confirmed. By using the structure alignments, we classified Za LTP 7 as an LTP type 2‐like. The successful threading application for cs‐ AMP identification is an important advance in transcriptomic and proteomic data mining. Besides, the same approach could be applied to the use of NGS public data to discover molecules to combat multidrug‐resistant bacteria.