RF1 subfamily alignment (mtRF1a, mtRF1 and pRF1)

Fasta multiple sequence alignment of Release Factor 1 proteins. Sequences were retrieved from GenBank nr database using PSI-BLAST. The alignment was obtained with ClustalW (v2.0.10), and 60% of the gaps was removed with BMGE (v1.0). The alignment was visually inspected and manually adjusted to accuratly align all functionally characterized domains and sequence motifs. Fasta multiple sequence alignment of Release Factor 2 proteins. Sequences were retrieved from GenBank nr database using PSI-BLAST. The alignment was obtained with ClustalW (v2.0.10), and 60% of the gaps was removed with BMGE (v1.0). The alignment was visually inspected and manually adjusted to accuratly align all functionally characterized domains and sequence motifs. Each sequence header contains the species name, the identity of each protein and, for bacterial species, the bacterial group they belong to. The numbers present in the header are not meaningful

Instructions for the dataset

The file (csv version, comma separated) reports the list and a brief description and the assumptions for each column (category) for the reader’s guidance, to facilitate data entry operations as well as to inform the proper interpretation of the data

R script Figure 5b

This file includes the script of the open-access R-software for the generation of Figure 5b included in the paper

List of sources

The file provides the list of the sources where the data were collected from

R script Figures 3 and 5a

This file includes the script of the open-access R-software for the generation of Figures 3 and 5a included in the paper

List of sources

The file (csv version, comma separated) provides the list of the sources where the data were collected from

R script Figure 4

This file includes the script of the open-access R-software for the generation of Figure 4 included in the paper

Instructions for the dataset

The file reports the list and a brief description and the assumptions for each column (category) for the reader’s guidance, to facilitate data entry operations as well as to inform the proper interpretation of the data

European Grain Legume Dataset

In this dataset we collected the grain yields of the most cultivated legumes across European countries, from both published scientific papers and unpublished experiments of the European projects LegValue and Legato

R script Figure 2

This file includes the script of the open-access R-software for the generation of Figure 2 included in the paper