Coffee flower evocation: essential and neglected

Published: 11 June 2024| Version 1 | DOI: 10.17632/7wvhh7v965.1
Contributor:
Paula Cristina Silva Angelo

Description

These are Supplementary Files for a review on coffee flower evocation driven by environmental signals. There are - identification of conserved domains in temperature and daylength responsive protein isoforms identified in Coffea arabica, C. canephora and C. eugenioides and the orthologs in A. thaliana - analyses regarding cis-regulatory element frequency in promoters of temperature and daylength responsive genes - images of phenological stages that follow flower evocation, such as flower bud emission and fruit development

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Data were identified at the TAIR, NCBI and the Coffee Hub, as follows: C. arabica var. Caturra Red (tetraploid, PRJNA 497895, accession CCC135-36, “autogenous population”) and C. eugenioides (diploid, PRJNA 497891, accession CCC68, “autogenous population”) at the National Center of Biotechnology Information (NCBI, http://www.ncbi.nlm.nih.gov/). C. canephora (doubled haploid, DH200-94, France) data are available at the Coffee Hub website (Dereeper et al. 2015. http://www.coffee-genome.org). A. thaliana data are available at The Arabidopsis Information Resource (TAIR, http://www.arabidopsis.org). The CD Search routine available at the NCBI was used to identify the conserved domains (https://www.ncbi.nlm.nih.gov/Structure/cdd/. Data bank version 3.20). Software packages used are: Felsenstein J (2009) PHYLIP (Phylogeny Inference Package) version 3 695 Distributed by the author Department of Genome Sciences, University of Washington, Seattle http://evolution gs washington edu/phylip html Hall TA (1999) BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp Ser 41:95-98 Higo K, Ugawa Y, Iwamoto M et al (1998) PLACE: a database of plant cis-acting regulatory DNA elements. Nucleic Acids Res 26:358-359

Institutions

Empresa Brasileira de Pesquisa Agropecuaria

Categories

Data Analysis, Biological Database

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