Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Patricia M. Guimarães is active.

Publication


Featured researches published by Patricia M. Guimarães.


Nature Genetics | 2016

The genome sequences of Arachis duranensis and Arachis ipaensis , the diploid ancestors of cultivated peanut

David J. Bertioli; Steven B. Cannon; Lutz Froenicke; Guodong Huang; Andrew D. Farmer; Ethalinda K. S. Cannon; Xin Liu; Dongying Gao; Josh Clevenger; Sudhansu Dash; Longhui Ren; Márcio C. Moretzsohn; Kenta Shirasawa; Wei Huang; Bruna Vidigal; Brian Abernathy; Ye Chu; Chad E. Niederhuth; Pooja E. Umale; Ana Claudia Guerra Araujo; Alexander Kozik; Kyung Do Kim; Mark D. Burow; Rajeev K. Varshney; Xingjun Wang; Xinyou Zhang; Noelle A. Barkley; Patricia M. Guimarães; Sachiko Isobe; Baozhu Guo

Cultivated peanut (Arachis hypogaea) is an allotetraploid with closely related subgenomes of a total size of ∼2.7 Gb. This makes the assembly of chromosomal pseudomolecules very challenging. As a foundation to understanding the genome of cultivated peanut, we report the genome sequences of its diploid ancestors (Arachis duranensis and Arachis ipaensis). We show that these genomes are similar to cultivated peanuts A and B subgenomes and use them to identify candidate disease resistance genes, to guide tetraploid transcript assemblies and to detect genetic exchange between cultivated peanuts subgenomes. On the basis of remarkably high DNA identity of the A. ipaensis genome and the B subgenome of cultivated peanut and biogeographic evidence, we conclude that A. ipaensis may be a direct descendant of the same population that contributed the B subgenome to cultivated peanut.


Biotechnology Advances | 2012

Advances in Arachis genomics for peanut improvement

Manish K. Pandey; Emmanuel Monyo; Peggy Ozias-Akins; Xuanquiang Liang; Patricia M. Guimarães; S. N. Nigam; Hari D. Upadhyaya; Pasupuleti Janila; Xinyou Zhang; Baozhu Guo; Douglas R. Cook; David J. Bertioli; Richard W. Michelmore; Rajeev K. Varshney

Peanut genomics is very challenging due to its inherent problem of genetic architecture. Blockage of gene flow from diploid wild relatives to the tetraploid; cultivated peanut, recent polyploidization combined with self pollination, and the narrow genetic base of the primary genepool have resulted in low genetic diversity that has remained a major bottleneck for genetic improvement of peanut. Harnessing the rich source of wild relatives has been negligible due to differences in ploidy level as well as genetic drag and undesirable alleles for low yield. Lack of appropriate genomic resources has severely hampered molecular breeding activities, and this crop remains among the less-studied crops. The last five years, however, have witnessed accelerated development of genomic resources such as development of molecular markers, genetic and physical maps, generation of expressed sequenced tags (ESTs), development of mutant resources, and functional genomics platforms that facilitate the identification of QTLs and discovery of genes associated with tolerance/resistance to abiotic and biotic stresses and agronomic traits. Molecular breeding has been initiated for several traits for development of superior genotypes. The genome or at least gene space sequence is expected to be available in near future and this will further accelerate use of biotechnological approaches for peanut improvement.


BMC Genomics | 2009

An analysis of synteny of Arachis with Lotus and Medicago sheds new light on the structure, stability and evolution of legume genomes

David J. Bertioli; Márcio C. Moretzsohn; Lene Heegaard Madsen; Niels Sandal; Soraya C. M. Leal-Bertioli; Patricia M. Guimarães; Birgit Kristine Hougaard; Jakob Fredslund; Leif Schauser; Anna Marie Nielsen; Shusei Sato; Satoshi Tabata; Steven B. Cannon; Jens Stougaard

BackgroundMost agriculturally important legumes fall within two sub-clades of the Papilionoid legumes: the Phaseoloids and Galegoids, which diverged about 50 Mya. The Phaseoloids are mostly tropical and include crops such as common bean and soybean. The Galegoids are mostly temperate and include clover, fava bean and the model legumes Lotus and Medicago (both with substantially sequenced genomes). In contrast, peanut (Arachis hypogaea) falls in the Dalbergioid clade which is more basal in its divergence within the Papilionoids. The aim of this work was to integrate the genetic map of Arachis with Lotus and Medicago and improve our understanding of the Arachis genome and legume genomes in general. To do this we placed on the Arachis map, comparative anchor markers defined using a previously described bioinformatics pipeline. Also we investigated the possible role of transposons in the patterns of synteny that were observed.ResultsThe Arachis genetic map was substantially aligned with Lotus and Medicago with most synteny blocks presenting a single main affinity to each genome. This indicates that the last common whole genome duplication within the Papilionoid legumes predated the divergence of Arachis from the Galegoids and Phaseoloids sufficiently that the common ancestral genome was substantially diploidized. The Arachis and model legume genomes comparison made here, together with a previously published comparison of Lotus and Medicago allowed all possible Arachis-Lotus-Medicago species by species comparisons to be made and genome syntenies observed. Distinct conserved synteny blocks and non-conserved regions were present in all genome comparisons, implying that certain legume genomic regions are consistently more stable during evolution than others. We found that in Medicago and possibly also in Lotus, retrotransposons tend to be more frequent in the variable regions. Furthermore, while these variable regions generally have lower densities of single copy genes than the more conserved regions, some harbor high densities of the fast evolving disease resistance genes.ConclusionWe suggest that gene space in Papilionoids may be divided into two broadly defined components: more conserved regions which tend to have low retrotransposon densities and are relatively stable during evolution; and variable regions that tend to have high retrotransposon densities, and whose frequent restructuring may fuel the evolution of some gene families.


BMC Plant Biology | 2007

ESTs from a wild Arachis species for gene discovery and marker development

Karina Proite; Soraya C. M. Leal-Bertioli; David J. Bertioli; Márcio C. Moretzsohn; Felipe Rodrigues da Silva; Natália F. Martins; Patricia M. Guimarães

BackgroundDue to its origin, peanut has a very narrow genetic background. Wild relatives can be a source of genetic variability for cultivated peanut. In this study, the transcriptome of the wild species Arachis stenosperma accession V10309 was analyzed.ResultsESTs were produced from four cDNA libraries of RNAs extracted from leaves and roots of A. stenosperma. Randomly selected cDNA clones were sequenced to generate 8,785 ESTs, of which 6,264 (71.3%) had high quality, with 3,500 clusters: 963 contigs and 2537 singlets. Only 55.9% matched homologous sequences of known genes. ESTs were classified into 23 different categories according to putative protein functions. Numerous sequences related to disease resistance, drought tolerance and human health were identified. Two hundred and six microsatellites were found and markers have been developed for 188 of these. The microsatellite profile was analyzed and compared to other transcribed and genomic sequence data.ConclusionThis is, to date, the first report on the analysis of transcriptome of a wild relative of peanut. The ESTs produced in this study are a valuable resource for gene discovery, the characterization of new wild alleles, and for marker development. The ESTs were released in the [GenBank:EH041934 to EH048197].


BMC Plant Biology | 2009

Identification of candidate genome regions controlling disease resistance in Arachis

Soraya C. M. Leal-Bertioli; Ana Carolina V. F. Jose; Dione M. T. Alves-Freitas; Márcio C. Moretzsohn; Patricia M. Guimarães; Stephan Nielen; Bruna Vidigal; Rinaldo Wellerson Pereira; Jodie Pike; Alessandra Pereira Fávero; Martin Parniske; Rajeev K. Varshney; David J. Bertioli

BackgroundWorldwide, diseases are important reducers of peanut (Arachis hypogaea) yield. Sources of resistance against many diseases are available in cultivated peanut genotypes, although often not in farmer preferred varieties. Wild species generally harbor greater levels of resistance and even apparent immunity, although the linkage of agronomically un-adapted wild alleles with wild disease resistance genes is inevitable. Marker-assisted selection has the potential to facilitate the combination of both cultivated and wild resistance loci with agronomically adapted alleles. However, in peanut there is an almost complete lack of knowledge of the regions of the Arachis genome that control disease resistance.ResultsIn this work we identified candidate genome regions that control disease resistance. For this we placed candidate disease resistance genes and QTLs against late leaf spot disease on the genetic map of the A-genome of Arachis, which is based on microsatellite markers and legume anchor markers. These marker types are transferable within the genus Arachis and to other legumes respectively, enabling this map to be aligned to other Arachis maps and to maps of other legume crops including those with sequenced genomes. In total, 34 sequence-confirmed candidate disease resistance genes and five QTLs were mapped.ConclusionCandidate genes and QTLs were distributed on all linkage groups except for the smallest, but the distribution was not even. Groupings of candidate genes and QTLs for late leaf spot resistance were apparent on the upper region of linkage group 4 and the lower region of linkage group 2, indicating that these regions are likely to control disease resistance.


BMC Plant Biology | 2009

A linkage map for the B-genome of Arachis (Fabaceae) and its synteny to the A-genome.

Márcio C. Moretzsohn; Andrea V. G. Barbosa; Dione M. T. Alves-Freitas; Cristiane de Camargo Teixeira; Soraya C. M. Leal-Bertioli; Patricia M. Guimarães; Rinaldo Wellerson Pereira; Catalina Romero Lopes; Marcelo M. Cavallari; José Francisco Montenegro Valls; David J. Bertioli; Marcos A. Gimenes

BackgroundArachis hypogaea (peanut) is an important crop worldwide, being mostly used for edible oil production, direct consumption and animal feed. Cultivated peanut is an allotetraploid species with two different genome components, A and B. Genetic linkage maps can greatly assist molecular breeding and genomic studies. However, the development of linkage maps for A. hypogaea is difficult because it has very low levels of polymorphism. This can be overcome by the utilization of wild species of Arachis, which present the A- and B-genomes in the diploid state, and show high levels of genetic variability.ResultsIn this work, we constructed a B-genome linkage map, which will complement the previously published map for the A-genome of Arachis, and produced an entire framework for the tetraploid genome. This map is based on an F2 population of 93 individuals obtained from the cross between the diploid A. ipaënsis (K30076) and the closely related A. magna (K30097), the former species being the most probable B genome donor to cultivated peanut. In spite of being classified as different species, the parents showed high crossability and relatively low polymorphism (22.3%), compared to other interspecific crosses. The map has 10 linkage groups, with 149 loci spanning a total map distance of 1,294 cM. The microsatellite markers utilized, developed for other Arachis species, showed high transferability (81.7%). Segregation distortion was 21.5%. This B-genome map was compared to the A-genome map using 51 common markers, revealing a high degree of synteny between both genomes.ConclusionThe development of genetic maps for Arachis diploid wild species with A- and B-genomes effectively provides a genetic map for the tetraploid cultivated peanut in two separate diploid components and is a significant advance towards the construction of a transferable reference map for Arachis. Additionally, we were able to identify affinities of some Arachis linkage groups with Medicago truncatula, which will allow the transfer of information from the nearly-complete genome sequences of this model legume to the peanut crop.


Molecular Genetics and Genomics | 2003

A large scale analysis of resistance gene homologues in Arachis

David J. Bertioli; Soraya C. M. Leal-Bertioli; M. B. Lion; V. L. Santos; G. Pappas; Steven B. Cannon; Patricia M. Guimarães

Abstract Arachis hypogaea L., commonly known as the peanut or groundnut, is an important and widespread food legume. Because the crop has a narrow genetic base, genetic diversity in A. hypogaea is low and it lacks sources of resistance to many pests and diseases. In contrast, wild diploid Arachis species are genetically diverse and are rich sources of disease resistance genes. The majority of known plant disease resistance genes encode proteins with a nucleotide binding site domain (NBS). In this study, degenerate PCR primers designed to bind to DNA regions encoding conserved motifs within this domain were used to amplify NBS-encoding regions from Arachis spp. The Arachis spp. used were A. hypogaea var. Tatu and wild species that are known to be sources of disease resistance: A. cardenasii, A. duranensis , A. stenosperma and A. simpsonii. A total of 78 complete NBS-encoding regions were isolated, of which 63 had uninterrupted ORFs. Phylogenetic analysis of the Arachis NBS sequences derived in this study and other NBS sequences from Arabidopsis thaliana, Medicago trunculata , Glycine max , Lotus japonicus and Phaseolus vulgaris that are available in public databases This analysis indicates that most Arachis NBS sequences fall within legume-specific clades, some of which appear to have undergone extensive copy number expansions in the legumes. In addition, NBS motifs from A. thaliana and legumes were characterized. Differences in the TIR and non-TIR motifs were identified. The likely effect of these differences on the amplification of NBS-encoding sequences by PCR is discussed.


BMC Genomics | 2012

Global transcriptome analysis of two wild relatives of peanut under drought and fungi infection

Patricia M. Guimarães; Ana C. M. Brasileiro; Carolina Vianna Morgante; Andressa Cq Martins; Georgios Pappas; Orzenil Bonfim da Silva; Roberto C. Togawa; Soraya C. M. Leal-Bertioli; Ana Cg Araújo; Márcio C. Moretzsohn; David J. Bertioli

BackgroundCultivated peanut (Arachis hypogaea) is one of the most widely grown grain legumes in the world, being valued for its high protein and unsaturated oil contents. Worldwide, the major constraints to peanut production are drought and fungal diseases. Wild Arachis species, which are exclusively South American in origin, have high genetic diversity and have been selected during evolution in a range of environments and biotic stresses, constituting a rich source of allele diversity. Arachis stenosperma harbors resistances to a number of pests, including fungal diseases, whilst A. duranensis has shown improved tolerance to water limited stress. In this study, these species were used for the creation of an extensive databank of wild Arachis transcripts under stress which will constitute a rich source for gene discovery and molecular markers development.ResultsTranscriptome analysis of cDNA collections from A. stenosperma challenged with Cercosporidium personatum (Berk. and M.A. Curtis) Deighton, and A. duranensis submitted to gradual water limited stress was conducted using 454 GS FLX Titanium generating a total of 7.4 x 105 raw sequence reads covering 211 Mbp of both genomes. High quality reads were assembled to 7,723 contigs for A. stenosperma and 12,792 for A. duranensis and functional annotation indicated that 95% of the contigs in both species could be appointed to GO annotation categories. A number of transcription factors families and defense related genes were identified in both species. Additionally, the expression of five A. stenosperma Resistance Gene Analogs (RGAs) and four retrotransposon (FIDEL-related) sequences were analyzed by qRT-PCR. This data set was used to design a total of 2,325 EST-SSRs, of which a subset of 584 amplified in both species and 214 were shown to be polymorphic using ePCR.ConclusionsThis study comprises one of the largest unigene dataset for wild Arachis species and will help to elucidate genes involved in responses to biological processes such as fungal diseases and water limited stress. Moreover, it will also facilitate basic and applied research on the genetics of peanut through the development of new molecular markers and the study of adaptive variation across the genus.


Nucleic Acids Research | 2006

New softwares for automated microsatellite marker development

Wellington Santos Martins; Daniel de Sousa; Karina Proite; Patricia M. Guimarães; Márcio C. Moretzsohn; David J. Bertioli

Microsatellites are repeated small sequence motifs that are highly polymorphic and abundant in the genomes of eukaryotes. Often they are the molecular markers of choice. To aid the development of microsatellite markers we have developed a module that integrates a program for the detection of microsatellites (TROLL), with the sequence assembly and analysis software, the Staden Package. The module has easily adjustable parameters for microsatellite lengths and base pair quality control. Starting with large datasets of unassembled sequence data in the form of chromatograms and/or text data, it enables the creation of a compact database consisting of the processed and assembled microsatellite containing sequences. For the final phase of primer design, we developed a program that accepts the multi-sequence ‘experiment file’ format as input and produces a list of primer pairs for amplification of microsatellite markers. The program can take into account the quality values of consensus bases, improving success rate of primer pairs in PCR. The software is freely available and simple to install in both Windows and Unix-based operating systems. Here we demonstrate the software by developing primer pairs for 427 new candidate markers for peanut.


G3: Genes, Genomes, Genetics | 2014

The Use of SNP Markers for Linkage Mapping in Diploid and Tetraploid Peanuts

David J. Bertioli; Peggy Ozias-Akins; Ye Chu; Karine M. Dantas; Silvio P. Santos; Ediene Galdino Gouvea; Patricia M. Guimarães; Soraya Cristina Macedo Leal-Bertioli; Steven J. Knapp; Márcio C. Moretzsohn

Single nucleotide polymorphic markers (SNPs) are attractive for use in genetic mapping and marker-assisted breeding because they can be scored in parallel assays at favorable costs. However, scoring SNP markers in polyploid plants like the peanut is problematic because of interfering signal generated from the DNA bases that are homeologous to those being assayed. The present study used a previously constructed 1536 GoldenGate SNP assay developed using SNPs identified between two A. duranensis accessions. In this study, the performance of this assay was tested on two RIL mapping populations, one diploid (A. duranensis × A. stenosperma) and one tetraploid [A. hypogaea cv. Runner IAC 886 × synthetic tetraploid (A. ipaënsis × A. duranensis)4×]. The scoring was performed using the software GenomeStudio version 2011.1. For the diploid, polymorphic markers provided excellent genotyping scores with default software parameters. In the tetraploid, as expected, most of the polymorphic markers provided signal intensity plots that were distorted compared to diploid patterns and that were incorrectly scored using default parameters. However, these scorings were easily corrected using the GenomeStudio software. The degree of distortion was highly variable. Of the polymorphic markers, approximately 10% showed no distortion at all behaving as expected for single-dose markers, and another 30% showed low distortion and could be considered high-quality. The genotyped markers were incorporated into diploid and tetraploid genetic maps of Arachis and, in the latter case, were located almost entirely on A genome linkage groups.

Collaboration


Dive into the Patricia M. Guimarães's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Soraya C. M. Leal-Bertioli

Empresa Brasileira de Pesquisa Agropecuária

View shared research outputs
Top Co-Authors

Avatar

Ana Claudia Guerra Araujo

Empresa Brasileira de Pesquisa Agropecuária

View shared research outputs
Top Co-Authors

Avatar

A. C. M. Brasileiro

Empresa Brasileira de Pesquisa Agropecuária

View shared research outputs
Top Co-Authors

Avatar

Márcio C. Moretzsohn

Empresa Brasileira de Pesquisa Agropecuária

View shared research outputs
Top Co-Authors

Avatar

Carolina Vianna Morgante

Empresa Brasileira de Pesquisa Agropecuária

View shared research outputs
Top Co-Authors

Avatar

Ana C. M. Brasileiro

Empresa Brasileira de Pesquisa Agropecuária

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Soraya Cristina Macedo Leal-Bertioli

Empresa Brasileira de Pesquisa Agropecuária

View shared research outputs
Top Co-Authors

Avatar

Bruna Vidigal

Empresa Brasileira de Pesquisa Agropecuária

View shared research outputs
Researchain Logo
Decentralizing Knowledge