Ricardo A. Ramirez-Mendoza

Dr. Ricardo A. Ramirez-Mendoza

Tecnologico de Monterrey, School of Engineering and Sciences
orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 August 2018 in Science
Verified
Journal Article
Closed access
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T(The International Wheat Genome Sequencing Consortium (IWGSC)
The International Wheat Genome Sequencing Consortium (IWGSC)
RARudi Appels
Rudi Appels
KEKellye Eversole
Kellye Eversole
NSNils Stein
Nils Stein
CFCatherine Feuillet
Catherine Feuillet
LWLe Wang
Le Wang
Insights from the annotated wheat genome: Wheat is one of the major sources of food for much of the world. However, because bread wheat's genome is a large hybrid mix of three separate subgenomes, it has been difficult to produce a high-quality reference sequence. Using recent advances in sequencing, the International Wheat Genome Sequencing Consortium presents an annotated reference genome with a detailed analysis of gene content among subgenomes and the structural organization for all the chromosomes. Examples of quantitative trait mapping and CRISPR-based genome modification show the potential for using this genome in agricultural research and breeding. Ramírez-Gonzálezet al.exploited the fruits of this endeavor to identify tissue-specific biased gene expression and coexpression networks during development and exposure to stress. These resources will accelerate our understanding of the genetic basis of bread wheat.Science, this issue p.eaar7191; see also p.eaar6089

14 November 2012 in Nature
Verified
Journal Article
Open access
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Martien GroenenMartien Groenen
Martien Groenen
AAAlan L. Archibald
Alan L. Archibald
HUHirohide Uenishi
Hirohide Uenishi
CTChristopher K. Tuggle
Christopher K. Tuggle
YTYasuhiro Takeuchi
Yasuhiro Takeuchi
Lawrence SchookLawrence Schook
Lawrence Schook
For 10,000 years pigs and humans have shared a close and complex relationship. From domestication to modern breeding practices, humans have shaped the genomes of domestic pigs. Here we present the assembly and analysis of the genome sequence of a female domestic Duroc pig (Sus scrofa) and a comparison with the genomes of wild and domestic pigs from Europe and Asia. Wild pigs emerged in South East Asia and subsequently spread across Eurasia. Our results reveal a deep phylogenetic split between European and Asian wild boars ∼1 million years ago, and a selective sweep analysis indicates selection on genes involved in RNA processing and regulation. Genes associated with immune response and olfaction exhibit fast evolution. Pigs have the largest repertoire of functional olfactory receptor genes, reflecting the importance of smell in this scavenging animal. The pig genome sequence provides an important resource for further improvements of this important livestock species, and our identification of many putative disease-causing variants extends the potential of the pig as a biomedical model.

17 August 2018 in Science
Verified
Journal Article
Closed access
PDF file
Ricardo A. Ramirez-MendozaRicardo A. Ramirez-Mendoza
Ricardo A. Ramirez-Mendoza
PBPhilippa Borrill
Philippa Borrill
DLDaniel Lang
Daniel Lang
SHSophie A. Harrington
Sophie A. Harrington
JBJ. Brinton
J. Brinton
CUCristobal Uauy
Cristobal Uauy
Insights from the annotated wheat genome: Wheat is one of the major sources of food for much of the world. However, because bread wheat's genome is a large hybrid mix of three separate subgenomes, it has been difficult to produce a high-quality reference sequence. Using recent advances in sequencing, the International Wheat Genome Sequencing Consortium presents an annotated reference genome with a detailed analysis of gene content among subgenomes and the structural organization for all the chromosomes. Examples of quantitative trait mapping and CRISPR-based genome modification show the potential for using this genome in agricultural research and breeding. Ramírez-Gonzálezet al.exploited the fruits of this endeavor to identify tissue-specific biased gene expression and coexpression networks during development and exposure to stress. These resources will accelerate our understanding of the genetic basis of bread wheat.Science, this issue p.eaar7191; see also p.eaar6089

9 March 2022 in Remote Sensing
Verified
Journal Article
Open access
PDF file
Diego Mauricio Botín SanabriaDiego Mauricio Botín Sanabria
Diego Mauricio Botín Sanabria
AMAdriana Simona Mihaita
Adriana Simona Mihaita
RPRodrigo E. Peimbert-García
Rodrigo E. Peimbert-García
Mauricio Adolfo Ramírez-MorenoMauricio Adolfo Ramírez-Moreno
Mauricio Adolfo Ramírez-Moreno
Ricardo A. Ramirez-MendozaRicardo A. Ramirez-Mendoza
Ricardo A. Ramirez-Mendoza
Jorge de Jesús Lozoya-SantosJorge de Jesús Lozoya-Santos
Jorge de Jesús Lozoya-Santos
A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. It is a key enabler of data-driven decision making, complex systems monitoring, product validation and simulation and object lifecycle management. As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc. The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.

17 January 2017 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
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KKKsenia V. Krasileva
Ksenia V. Krasileva
HVHans A. Vasquez-Gross
Hans A. Vasquez-Gross
THTyson Howell
Tyson Howell
PBPaul Bailey
Paul Bailey
FPFrancine Paraiso
Francine Paraiso
JDJorge Dubcovsky
Jorge Dubcovsky
Comprehensive reverse genetic resources, which have been key to understanding gene function in diploid model organisms, are missing in many polyploid crops. Young polyploid species such as wheat, which was domesticated less than 10,000 y ago, have high levels of sequence identity among subgenomes that mask the effects of recessive alleles. Such redundancy reduces the probability of selection of favorable mutations during natural or human selection, but also allows wheat to tolerate high densities of induced mutations. Here we exploited this property to sequence and catalog more than 10 million mutations in the protein-coding regions of 2,735 mutant lines of tetraploid and hexaploid wheat. We detected, on average, 2,705 and 5,351 mutations per tetraploid and hexaploid line, respectively, which resulted in 35–40 mutations per kb in each population. With these mutation densities, we identified an average of 23–24 missense and truncation alleles per gene, with at least one truncation or deleterious missense mutation in more than 90% of the captured wheat genes per population. This public collection of mutant seed stocks and sequence data enables rapid identification of mutations in the different copies of the wheat genes, which can be combined to uncover previously hidden variation. Polyploidy is a central phenomenon in plant evolution, and many crop species have undergone recent genome duplication events. Therefore, the general strategy and methods developed herein can benefit other polyploid crops.

11 February 2016 in Plant Physiology
Verified
Journal Article
Closed access
PDF file
PBPhilippa Borrill
Philippa Borrill
Ricardo A. Ramirez-MendozaRicardo A. Ramirez-Mendoza
Ricardo A. Ramirez-Mendoza
CUCristobal Uauy
Cristobal Uauy
The majority of transcriptome sequencing (RNA-seq) expression studies in plants remain underutilized and inaccessible due to the use of disparate transcriptome references and the lack of skills and resources to analyze and visualize these data. We have developed expVIP, an expression visualization and integration platform, which allows easy analysis of RNA-seq data combined with an intuitive and interactive interface. Users can analyze public and user-specified data sets with minimal bioinformatics knowledge using the expVIP virtual machine. This generates a custom Web browser to visualize, sort, and filter the RNA-seq data and provides outputs for differential gene expression analysis. We demonstrate expVIP’s suitability for polyploid crops and evaluate its performance across a range of biologically relevant scenarios. To exemplify its use in crop research, we developed a flexible wheat (Triticum aestivum) expression browser (www.wheat-expression.com) that can be expanded with user-generated data in a local virtual machine environment. The open-access expVIP platform will facilitate the analysis of gene expression data from a wide variety of species by enabling the easy integration, visualization, and comparison of RNA-seq data across experiments.