Table_1.PDF

Domestication has been influenced by formal plant breeding since the onset of intensive agriculture and the Green Revolution. Despite providing food security for some regions, intensive agriculture has had substantial detrimental consequences for the environment and does not fulfill smallholder’s needs under most developing countries conditions. Therefore, it is necessary to look for alternative plant production techniques, effective for each environmental, socio-cultural, and economic conditions. This is particularly relevant for countries that are megadiverse and major centers of plant domestication and diversification. In this white paper, a Mexico-centered initiative is proposed, with two main objectives: (1) to study, understand, conserve, and sustainably use the genetic diversity of domesticated plants and their wild relatives, as well as the ongoing evolutionary processes that generate and maintain it; and (2) to strengthen food and forestry production in a socially fair and environmentally friendly way. To fulfill these objectives, the initiative focuses on the source of variability available for domestication (genetic diversity and functional genomics), the context in which domestication acts (breeding and production) and one of its main challenges (environmental change). Research on these components can be framed to target and connect both the theoretical understanding of the evolutionary processes, the practical aspects of conservation, and food and forestry production. The target, main challenges, problems to be faced and key research questions are presented for each component, followed by a roadmap for the consolidation of this proposal as a national initiative.</p

Figures

Contains the R markdown files that were used to generate the Figures from the main text (Figures.Rmd) and the figures from the supporting information (SupportingInfomation_*). Needs the data and scripts from the *2.R analyses of Stacks outputs* section of this repositor

Lab protocol and sequencing report

Contains: i) a summary of the ddRAD labwork, description of final libraries and sequencing output, ii) modified ddRAD sequencing protocol and iii) sequencing quality control reports for each lane

Sampling localities

Cointains and the geographic information of sampling sites. See tab "B.alpina B.moranensis" for Berberis alpina and B. moranensis populations and "Berberis outgroups" for B. trifolia and B. pallid

0.Demultiplexing and dropbase

Contains the custom Perl scripts of the pipeline used to demultiplex raw reads and drop a base position that was causing a lane effect

2.R analyses of Stacks outputs

Contains the R scripts, input-output data and metainformation used to perform the analyses described in the *General processing of Stacks outputs* and *Error rates* of the manuscript

1.Running Stacks

Contains scripts and part of the output data of running *Stacks* with the demultiplexed-lane-effect-corrected data (see section **Demultiplexing and dropbase/0.1DropBase** of this repository) available at the Sequence Read Archive (SRA), accession SRP035472; to subsequently produce SNP (*.SNP) and coverage (*.COV) tsv matrices and to run the *populations* program of Stacks with the selected loci of the downstream analyses. The Stacks parameter values corresponds to the experiments defined as *1) Exploratory analysis of Stacks assembly key parameters and SNP calling model using replicates* and *2) Effect of using different parameters on the output information content and on the detection of genetic structuring

Data (SRA SRP035472)

The postdemultiplexing quality filtered data (i.e. output of "Demultiplexing and dropbase" of this repository) is available at the Sequence Read Archive (SRA), accession SRP035472. Those files were used to run Stacks and the resulted matrices coverage and SNP matrices produced after running the Stacks script *export_sql.pl* along with the subsequent files used to perform the analyses on R. See contents of the [2R](./2R) directory. For the rest of the pipeline the scripts used and when available and output summary are presented inside each directory

data and scripts for the aSFS analysis

Data and scripts for the *Comparative demographic inference using the aggregate site frequency spectrum* section of the manuscript

Berberis alpina raw demultiplexed data (.fq)

Fastq files for each B. alpina sampl