Transcriptome mining provides insights into cell wall metabolism and fiber lignification in Agave tequilana Weber

Luis Fernando Maceda Lopez ELSA BEATRIZ GONGORA CASTILLO Enrique Ibarra-Laclette DALIA C. MORAN VELAZQUEZ AMARANTA GIRON RAMIREZ Matthieu Bourdon José Luis Villalpando Aguilar Gabriela Chavez-Calvillo Toomer John Tang Parastoo Azadi Jorge Manuel Santamaría Fernández Itzel López-Rosas Mercedes G Lopez June Simpson FULGENCIO ALATORRE COBOS (2022, [Artículo])

Resilience of growing in arid and semiarid regions and a high capacity of accumulating sugar-rich biomass with low lignin percentages have placed Agave species as an emerging bioen-ergy crop. Although transcriptome sequencing of fiber-producing agave species has been explored, molecular bases that control wall cell biogenesis and metabolism in agave species are still poorly understood. Here, through RNAseq data mining, we reconstructed the cellulose biosynthesis pathway and the phenylpropanoid route producing lignin monomers in A. tequilana, and evaluated their expression patterns in silico and experimentally. Most of the orthologs retrieved showed differential expression levels when they were analyzed in different tissues with contrasting cellulose and lignin accumulation. Phylogenetic and structural motif analyses of putative CESA and CAD proteins allowed to identify those potentially involved with secondary cell wall formation. RT-qPCR assays revealed enhanced expression levels of AtqCAD5 and AtqCESA7 in parenchyma cells associated with extraxylary fibers, suggesting a mechanism of formation of sclerenchyma fibers in Agave similar to that reported for xylem cells in model eudicots. Overall, our results provide a framework for un-derstanding molecular bases underlying cell wall biogenesis in Agave species studying mechanisms involving in leaf fiber development in monocots. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

AGAVE CELL WALLS LIGNOCELLULOSE CAD PROTEIN CESA PROTEIN SCLERENCHYMA BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA GENÉTICA GENÉTICA MOLECULAR DE PLANTAS GENÉTICA MOLECULAR DE PLANTAS

El arte de ser multifuncional: proteínas "workaholic"

ROSA ESTELA QUIROZ CASTAÑEDA JOSE HUGO AGUILAR DIAZ (2023, [Artículo])

La multifuncionalidad es una ventaja que la evolución le ha concedido sólo a algunas bacterias. Sí, la evolución, ese proceso que nos traído hasta donde estamos hoy y que nos seguirá empujando para prevalecer en los ambientes más hostiles de nuestro medio ambiente. ¿Y cómo es que la evolución ha sido tan benévola con algunos organismos? Las condiciones de vida no son las mismas para todos, hay situaciones en las que se requiere hacer un uso eficiente de la función de las proteínas con las que cuenta cada organismo. Es el caso de de las proteínas. Existen aquéllas que logran realizar más de una función a través de modificaciones que hacen de su propia estructura, pero otras, sin cambiar su estructura, pueden hacer más de una función. Esto resulta increíble como estrategia para muchas bacterias que, por azares de la evolución, han tenido que mantener un genoma pequeño. El genoma almacena toda la información para crear un organismo nuevo y realizar sus funciones biológicas básicas. Este genoma posee un código de cuatro letras llamadas bases, que se organizan en pares y crean millones de combinaciones que resultan en la diversidad biológica que conocemos.

BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA proteinas,

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Francois Tardieu (2007, [Artículo])

Environmental Stimuli Expansins CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CELLS CROPS GENETIC ENGINEERING PROTEINS TISSUE EPIDERMIS ZEA MAYS

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Genome-Wide Association Study Epistatic Effects Protein Interaction Multiple-Hybrid Population CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HETEROSIS MAIZE PROTEINS HYBRIDS

Remote sensing of quality traits in cereal and arable production systems: A review

Zhenhai  Li xiuliang jin Gerald Blasch James Taylor (2024, [Artículo])

Cereal is an essential source of calories and protein for the global population. Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers, grading harvest and categorised storage for enterprises, future trading prices, and policy planning. The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits. Many studies have also proposed models and methods for predicting such traits based on multi-platform remote sensing data. In this paper, the key quality traits that are of interest to producers and consumers are introduced. The literature related to grain quality prediction was analyzed in detail, and a review was conducted on remote sensing platforms, commonly used methods, potential gaps, and future trends in crop quality prediction. This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.

Quality Traits Grain Protein CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA REMOTE SENSING QUALITY GRAIN PROTEINS CEREALS PRODUCTION SYSTEMS

Estimation of general and specific combining ability effects for quality protein maize inbred lines

Adefris Teklewold Dagne Wegary Gissa (2022, [Artículo])

General Combining Ability Specific Combining Ability CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA COMBINING ABILITY MAIZE PROTEIN QUALITY INBRED LINES DATA ANALYSIS

Novel mutant alleles reveal a role of the extra-large G protein in rice grain filling, panicle architecture, plant growth, and disease resistance

Akshaya Biswal Daisuke Urano (2022, [Artículo])

Heterotrimeric G Proteins Extra-Large G Proteins Cas9 OsXLG CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CRISPR RICE PROTEINS PLANT GROWTH DISEASE RESISTANCE

Maize ZmBES1/BZR1-3 and-9 transcription factors negatively regulate drought tolerance in transgenic arabidopsis

Fuai Sun XUECAI ZHANG Haoqiang Yu (2022, [Artículo])

BZR1s CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ARABIDOPSIS DNA BINDING PROTEINS PLANT PROTEIN TRANSCRIPTION FACTORS DROUGHT GENE EXPRESSION REGULATION GENETICS MAIZE METABOLISM TRANSGENIC PLANTS ABIOTIC STRESS