<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2007-1124</journal-id>
<journal-title><![CDATA[Revista mexicana de ciencias pecuarias]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. de cienc. pecuarias]]></abbrev-journal-title>
<issn>2007-1124</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-11242020000401150</article-id>
<article-id pub-id-type="doi">10.22319/rmcp.v11i4.5202</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Herramientas moleculares utilizadas para el análisis metagenómico. Revisión]]></article-title>
<article-title xml:lang="en"><![CDATA[Molecular tools used for metagenomic analysis. Review]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cortés-López]]></surname>
<given-names><![CDATA[Nohemí Gabriela]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ordóñez-Baquera]]></surname>
<given-names><![CDATA[Perla Lucía]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Domínguez-Viveros]]></surname>
<given-names><![CDATA[Joel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Chihuahua Facultad de Zootecnia y Ecología ]]></institution>
<addr-line><![CDATA[ Chihuahua]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>11</volume>
<numero>4</numero>
<fpage>1150</fpage>
<lpage>1173</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-11242020000401150&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-11242020000401150&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-11242020000401150&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La metagenómica utiliza técnicas de biología molecular para analizar la diversidad de los genomas microbianos (metagenomas). La diversidad de los metagenomas se ha analizado mediante marcadores moleculares para clasificar bacterias y arqueas en grupos taxonómicos a nivel de género. Entre los marcadores moleculares más utilizados se encuentran los genes ribosomales, genes que codifican subunidades del citocromo C y algunos genes constitutivos (gyrB, rpoB, rpoD, recA, atpD, infB, groEL, pmoA, sodA). El marcador más utilizado es el gen 16S rRNA para clasificar bacterias y arqueas de muestras metagenómicas, aunque no permite clasificar de forma adecuada algunas secuencias. Sin embargo, con la secuenciación del gen completo 16S rRNA se identifican todas las secuencias de las regiones hipervariables, por lo que se ha logrado clasificar hasta nivel taxonómico de especie con este marcador molecular. La secuenciación de próxima generación, también llamada secuenciación masiva o de alto rendimiento ha ayudado a describir metagenomas complejos como los de muestras ambientales, con importancia ecológica, así como metagenomas que crecen en ambientes extremos. También han ayudado a estudios relacionados con sanidad animal y en humanos, y en el ámbito agroalimentario. Específicamente, tanto el uso del marcador molecular 16S rRNA como la secuenciación de alta eficiencia combinadas con el uso de las herramientas bioinformáticas para el análisis metagenómico se han usado para describir el metagenoma ruminal, una comunidad microbiana de gran importancia debido a que está involucrada en la producción animal de carne y leche. A pesar de los muchos estudios que se han realizado en este campo, aún faltan microorganismos por descubrir y caracterizar.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Metagenomics uses molecular biology techniques to analyze the diversity of microbial genomes (metagenomes). Metagenome diversity has been analyzed using molecular markers to classify bacteria and archaea into taxonomic groups at the genus level. Among the most widely used molecular markers are ribosomal genes, genes encoding subunits of cytochrome C, and certain constitutive genes (gyrB, rpoB, rpoD, recA, atpD, infB, groEL, pmoA, sodA). The most widely used marker for classifying bacteria and metagenomic samples is the 16S rRNA gene, although it does not allow certain sequences to be properly classified. However, all the sequences of the hypervariable regions can be identified with the sequencing of the complete 16S rRNA gene, and, therefore, this molecular marker has made it possible to classify them at the species taxonomic level. Next generation sequencing, also called mass sequencing or high throughput sequencing, has helped to describe complex metagenomes such as those of environmental samples, which have an ecological importance, as well as metagenomes growing in extreme environments. They have also proved helpful in studies related to animal and human health, and in the agro-food field. Specifically, both the 16S rRNA molecular marker and high throughput sequencing combined with bioinformatic tools for metagenomic analysis have been used to describe the ruminal metagenome, a microbial community of great importance because it is involved in animal production of meat and milk. Despite the many studies that have been conducted in this field, some microorganisms still remain to be discovered and characterized.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Marcador molecular]]></kwd>
<kwd lng="es"><![CDATA[Gen 16S rRNA]]></kwd>
<kwd lng="es"><![CDATA[Metagenómica]]></kwd>
<kwd lng="es"><![CDATA[Diversidad microbiana]]></kwd>
<kwd lng="es"><![CDATA[Secuenciación de alto rendimiento]]></kwd>
<kwd lng="en"><![CDATA[Molecular Marker]]></kwd>
<kwd lng="en"><![CDATA[16S rRNA Gene]]></kwd>
<kwd lng="en"><![CDATA[Metagenomics]]></kwd>
<kwd lng="en"><![CDATA[Microbial diversity]]></kwd>
<kwd lng="en"><![CDATA[High throughput sequencing]]></kwd>
</kwd-group>
</article-meta>
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