Estudio de la domesticación de plantas usando cultivos ornamentales del siglo XVIII

Conferencia impartida para estudiantes de grado y postgradoLa domesticación de plantas ha sido un proceso esencial en el desarrollo de la agricultura. Este proceso implica la selección de fenotipos de acuerdo a necesidades humanas como alimento. Aunque el proceso de domesticación puede ser estudiado desde un punto de vista arqueológico, son los estudios genéticos los que nos ayudan a entender como el ser humano ha seleccionado genes relacionados con fenotipos concretos. Buenos ejemplos de estos estudios son la caracterización de los genes Tga1 y Ramosa1 (maíz), qSH1 y Sh4 (arroz) y fw2.2 (tomate). Begonias, gloxinias y petunias son cultivos ornamentales que domesticaron en el siglo XVIII cumpliendo con las necesidades estéticas de los jardines europeos. Su proceso de domesticación es un ejemplo de selección de fenotipos concretos como forma y color de las flores. En nuestro estudio presentamos los primeros pasos para el estudio de la domesticación de estas especies como la creación de un genoma de referencia y la evaluación de su diversidad genética y fenotípica.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Organelle_PBA, a Pipeline for Assembling Chloroplast and Mitochondrial Genomes from PacBio DNA Sequencing Data

Background: The development of long-read sequencing technologies, such as single-molecule real-time (SMRT) sequencing by PacBio, has produced a revolution in the sequencing of small genomes. Sequencing organelle genomes using PacBio long-read data is a cost effective, straightforward approach. Nevertheless, the availability of simple-to-use software to perform the assembly from raw reads is limited at present. Results: We present Organelle-PBA, a Perl program designed specifically for the assembly of chloroplast and mitochondrial genomes. For chloroplast genomes, the program selects the chloroplast reads from a whole genome sequencing pool, maps the reads to a reference sequence from a closely related species, and then performs read correction and de novo assembly using Sprai. Organelle-PBA completes the assembly process with the additional step of scaffolding by SSPACE-LongRead. The program then detects the chloroplast inverted repeats and reassembles and re-orients the assembly based on the organelle origin of the reference. We have evaluated the performance of the software using PacBio reads from different species, read coverage, and reference genomes. Finally, we present the assembly of two novel chloroplast genomes from the species Picea glauca (Pinaceae) and Sinningia speciosa (Gesneriaceae). Conclusion: Organelle-PBA is an easy-to-use Perl-based software pipeline that was written specifically to assemble mitochondrial and chloroplast genomes from whole genome PacBio reads. The program is available at https://github.com/aubombarely/Organelle_PBA

Organelle_PBA, a Pipeline for Assembling Chloroplast and Mitochondrial Genomes from PacBio DNA Sequencing Data

Background: The development of long-read sequencing technologies, such as single-molecule real-time (SMRT) sequencing by PacBio, has produced a revolution in the sequencing of small genomes. Sequencing organelle genomes using PacBio long-read data is a cost effective, straightforward approach. Nevertheless, the availability of simple-to-use software to perform the assembly from raw reads is limited at present. Results: We present Organelle-PBA, a Perl program designed specifically for the assembly of chloroplast and mitochondrial genomes. For chloroplast genomes, the program selects the chloroplast reads from a whole genome sequencing pool, maps the reads to a reference sequence from a closely related species, and then performs read correction and de novo assembly using Sprai. Organelle-PBA completes the assembly process with the additional step of scaffolding by SSPACE-LongRead. The program then detects the chloroplast inverted repeats and reassembles and re-orients the assembly based on the organelle origin of the reference. We have evaluated the performance of the software using PacBio reads from different species, read coverage, and reference genomes. Finally, we present the assembly of two novel chloroplast genomes from the species Picea glauca (Pinaceae) and Sinningia speciosa (Gesneriaceae). Conclusion: Organelle-PBA is an easy-to-use Perl-based software pipeline that was written specifically to assemble mitochondrial and chloroplast genomes from whole genome PacBio reads. The program is available at https://github.com/aubombarely/Organelle_PBA

The SOL Genomics Network Model: Making Community Annotation Work

The concept of community annotation is a growing discipline for achieving participation of the research community in depositing up‐to‐date knowledge in biological databases.
The Solanaceae Genomics Network ("SGN":http://sgn.cornell.edu/) is a clade‐oriented database (COD) focusing on plants of the nightshade family, including tomato, potato, pepper, eggplant, and tobacco, and is one of the bioinformatics nodes of the international tomato genome sequencing project. One of our major efforts is linking Solanaceae phenotype information with the underlying genes, and subsequently the genome. As part of this goal, SGN has introduced a database for locus names and descriptors, and a database for phenotypes of natural and induced variation. These two databases have web interfaces that allow cross references, associations with tomato gene models, and in‐house curated information of sequences, literature, ontologies, gene networks, and the Solanaceae biochemical pathways database ("SolCyc":http://solcyc.sgn.cornell.edu). All of our curator tools are open for online community annotation, through specially assigned “submitter” accounts. 

Currently the community database consists of 5,548 phenotyped accessions, and 5,739 curated loci, out of which more than 300 loci where contributed or annotated by 66 active submitters, creating a database that is truly community driven.
This framework is easily adaptable for other projects working on other taxa (for example see "http://chlamybase.org":http://chlamybase.org), greatly expanding the application of this user‐friendly online annotation system. Community participation is fostered by an active outreach program that includes contacting potential submitters via emails, at meetings and conferences, and by promoting featured user submitted annotations on the SGN homepage. The source code and database schema for all SGN functionalities are freely available. Please contact SGN at "sgn‐feedback[at]sgn.cornell.edu":mailto:[email protected] for more information

Genome-Wide SNP discovery and genomic characterization in avocado (Persea americana Mill.)

Modern crop breeding is based on the use of genetically and phenotypically diverse plant material and, consequently, a proper understanding of population structure and genetic diversity is essential for the effective development of breeding programs. An example is avocado, a woody perennial fruit crop native to Mesoamerica with an increasing popularity worldwide. Despite its commercial success, there are important gaps in the molecular tools available to support on-going avocado breeding programs. In order to fill this gap, in this study, an avocado \u2018Hass\u2019 draft assembly was developed and used as reference to study 71 avocado accessions which represent the three traditionally recognized avocado horticultural races or subspecies (Mexican, Guatemalan and West Indian). An average of 5.72 M reads per individual and a total of 7,108 single nucleotide polymorphism (SNP) markers were produced for the 71 accessions analyzed. These molecular markers were used in a study of genetic diversity and population structure. The results broadly separate the accessions studied according to their botanical race in four main groups: Mexican, Guatemalan, West Indian and an additional group of Guatemalan 7 Mexican hybrids. The high number of SNP markers developed in this study will be a useful genomic resource for the avocado community

Genomas y rompecabezas: una visión sobre el ensamblaje de genomas

The development of new sequencing technologies has revolutionized genome analysis. Large sequencing projects have been replaced by more modest approaches, both in personnel and costs. It is currently possible to sequence, assemble, and analyze a medium-sized plant genome with a limited amount of resources, although we are still far from being able to assemble any genome. Large genomes, with a high content of repetitions, polyploids, or genomes with a high heterozygosity can be a difficult problem to solve.El desarrollo nuevas tecnologías de secuenciación ha revolucionado el análisis de genomas. Los grandes proyectos de secuenciación se han ido sustituyendo por aproximaciones más modestas, tanto en personal como en costes. Actualmente es posible secuenciar, ensamblar y analizar un genoma vegetal de tamaño medio con una cantidad limitada de recursos, si bien todavía estamos lejos de poder ensamblar cualquier genoma. Genomas de gran tamaño, con un gran contenido en repeticiones, poliploides, o genomas con una elevada heterocigosidad pueden ser un problema de difícil solución

Mining transcriptomic data to study the origins and evolution of a plant allopolyploid complex

Allopolyploidy combines two progenitor genomes in the same nucleus. It is a common speciation process, especially in plants. Deciphering the origins of polyploid species is a complex problem due to, among other things, extinct progenitors, multiple origins, gene flow between different polyploid populations, and loss of parental contributions through gene or chromosome loss. Among the perennial species of Glycine, the plant genus that includes the cultivated soybean (G. max), are eight allopolyploid species, three of which are studied here. Previous crossing studies and molecular systematic results from two nuclear gene sequences led to hypotheses of origin for these species from among extant diploid species. We use several phylogenetic and population genomics approaches to clarify the origins of the genomes of three of these allopolyploid species using single nucleotide polymorphism data and a guided transcriptome assembly. The results support the hypothesis that all three polyploid species are fixed hybrids combining the genomes of the two putative parents hypothesized on the basis of previous work. Based on mapping to the soybean reference genome, there appear to be no large regions for which one homoeologous contribution is missing. Phylogenetic analyses of 27 selected transcripts using a coalescent approach also are consistent with multiple origins for these allopolyploid species, and suggest that origins occurred within the last several hundred thousand years

Expression‐level support for gene dosage sensitivity in three Glycine subgenus Glycine polyploids and their diploid progenitors

Retention or loss of paralogs following duplication correlates strongly with the function of the gene and whether the gene was duplicated by whole\u2010genome duplication (WGD) or by small\u2010scale duplication. Selection on relative gene dosage (to maintain proper stoichiometry among interacting proteins) has been invoked to explain these patterns of duplicate gene retention and loss. In order for gene dosage to be visible to natural selection, there must necessarily be a correlation between gene copy number and gene expression level (transcript abundance), but this has rarely been examined. We used RNA\u2010Seq data from seven Glycine subgenus Glycine species (three recently formed allotetraploids and their four diploid progenitors) to determine if expression patterns and gene dosage responses at the level of transcription are consistent with selection on relative gene dosage. As predicted, metabolic pathways and gene ontologies that are putatively dosage\u2010sensitive based on duplication history exhibited reduced expression variance across species, and more coordinated expression responses to recent WGD, relative to putatively dosage\u2010insensitive networks. We conclude that selection on relative dosage has played an important role in shaping gene networks in Glycine

K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology

[EN] Background: K-seq, a new genotyping methodology based on the amplification of genomic regions using two steps of Klenow amplification with short oligonucleotides, followed by standard PCR and Illumina sequencing, is presented. The protocol was accompanied by software developed to aid with primer set design. Results: As the first examples, K-seq in species as diverse as tomato, dog and wheat was developed. K-seq provided genetic distances similar to those based on WGS in dogs. Experiments comparing K-seq and GBS in tomato showed similar genetic results, although K-seq had the advantage of finding more SNPs for the same number of Illumina reads. The technology reproducibility was tested with two independent runs of the tomato samples, and the correlation coefficient of the SNP coverages between samples was 0.8 and the genotype match was above 94%. K-seq also proved to be useful in polyploid species. The wheat samples generated specific markers for all subgenomes, and the SNPs generated from the diploid ancestors were located in the expected subgenome with accuracies greater than 80%. Conclusion: K-seq is an open, patent-unencumbered, easy-to-set-up, cost-effective and reliable technology ready to be used by any molecular biology laboratory without special equipment in many genetic studies.This work was supported by the University Polytechnic of Valencia, Grant Number 20180051 "Desarrollo de herramientas para la identificacion de genes y loci de interes en la mejora genetica del tomate y otras horticolas".Ziarsolo, P.; Hasing, T.; Hilario, R.; García-Carpintero, V.; Blanca Postigo, JM.; Bombarely, A.; Cañizares Sales, J. (2021). K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology. Plant Methods. 17(1):1-11. https://doi.org/10.1186/s13007-021-00733-6S11117

TobEA: an atlas of tobacco gene expression from seed to senescence.

RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.BACKGROUND: Transcriptomics has resulted in the development of large data sets and tools for the progression of functional genomics and systems biology in many model organisms. Currently there is no commercially available microarray to allow such expression studies in Nicotiana tabacum (tobacco). RESULTS: A custom designed Affymetrix tobacco expression microarray was generated from a set of over 40k unigenes and used to measure gene expression in 19 different tobacco samples to produce the Tobacco Expression Atlas (TobEA). TobEA provides a snap shot of the transcriptional activity for thousands of tobacco genes in different tissues throughout the lifecycle of the plant and enables the identification of the biological processes occurring in these different tissues. 772 of 2513 transcription factors previously identified in tobacco were mapped to the array, with 87% of them being expressed in at least one tissue in the atlas. Putative transcriptional networks were identified based on the co-expression of these transcription factors. Several interactions in a floral identity transcription factor network were consistent with previous results from other plant species. To broaden access and maximise the benefit of TobEA a set of tools were developed to provide researchers with expression information on their genes of interest via the Solanaceae Genomics Network (SGN) web site. The array has also been made available for public use via the Nottingham Arabidopsis Stock Centre microarray service. CONCLUSIONS: The generation of a tobacco expression microarray is an important development for research in this model plant. The data provided by TobEA represents a valuable resource for plant functional genomics and systems biology research and can be used to identify gene targets for both fundamental and applied scientific applications in tobacco