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At least 19 recordsLinked to original sources

Agricultural genomics and subterranean plant-plant communications.

Agricultural genomics has the potential to dramatically enrich the availability and quality of food supplies worldwide. However, because thousands of different plant species are grown for food, the application of genomics to crop improvement faces issues distinct from those in medical research. The challenge to agricultural plant scientists is to exploit the databases being generated for rice, maize, and Arabidopsis toward the genetic improvement of non-model crop species. The work in our lab illustrates one example of how genomic approaches can be applied to a non-model plant. Our overall goal is to understand how roots of different plants interact and use this information to improve the subterranean performance of crops in relation to weeds. The most obvious manifestation of root-root interactions is haustoria development. Haustoria are parasitic plant-specific organs that invade host plants and rob them of water and nutrients. Parasitic members of the Scrophulariaceae develop haustoria in vitro when exposed to molecules released by host roots. This is a useful phenotype for investigating plant-plant interactions because it is rapid, highly synchronous, and strictly dependent on exogenous haustoria-inducing factors (HIFs). Using a PCR-based subtractive hybridization, we cloned several hundred cDNAs representing transcripts one to two orders of magnitude more abundant in the roots of a parasitic plant after HIF exposure. Putative functions for about 90% of these transcripts could be assigned by searching the public databases. These have been arrayed on nylon filters and interrogated with a variety of probes from different parasitic and nonparasitic plants. Results from these experiments allowed us to identify likely candidate genes for the perception and processing of root signals by neighboring plants.

Computational Biology↗

Genomics and agriculture. Collaborations in rice.

Advances in rice genomics will contribute to gene discovery and rice productivity, but many of the products with high potential for alleviating poverty and improving human nutrition may not be those that attract private investment. Although most genetic resources and biological expertise for functional genomics are in the public, many proprietary technologies are owned by the private sector. A public resource platform is needed for the application of genomic technology to accelerate gene discovery. We present a model and general principles in collaboration that can serve the poor and encourage innovation by both the public and private sectors.

Crops, Agricultural↗

Problematic use of sustainability claims in recent scientific literature on crop gene technologies: toward improving practices and communication.

There is growing interest in the role of agricultural genomics, including biotechnology, in enhancing the "sustainability" of food production systems. However, as "sustainability" becomes more frequently linked to the goals of agricultural genomics, a critical question arises: what claims are made about "sustainability" and how is the concept of "sustainability" defined in the scholarly literature on agricultural genomics? Using a structured analysis of the recent scientific literature, this article investigates increasingly frequent claims about "sustainability," including how this term is defined and measured in the field of agricultural genomics. It argues that more transparent definitions and clearer metrics, tied to appropriate scholarly literature, are crucial for improving the coherence, impact, and credibility of research in agricultural genomics.

Crops, Agricultural↗

Animal cloning--the route to new genomics in agriculture and medicine.

This paper reviews the origin and development of animal cloning in metazoans starting with primitive experiments performed during the late 1880's and early 1900's, followed by nuclear transplantation in amphibians in 1952, then extended to fish and insects in the 1960's, and finally to mammals in the 1980's. Emphasis is placed on the applications of mammalian cloning to agriculture, medicine, and the conservation of endangered species. In addition, the introduction of genes via random insertion or gene targeting into the genome of donor cells to be used for cloning has opened up another route for new genomics in agriculture and medicine. The production of transgenic clones starting in 1997 has indeed contributed a milestone to scientific research. Although cloning efficiency is still low, certain kinds of experiments are quite feasible, and we anticipate improvements in the future.

Amphibians↗

AgBase: a functional genomics resource for agriculture.

BACKGROUND: Many agricultural species and their pathogens have sequenced genomes and more are in progress. Agricultural species provide food, fiber, xenotransplant tissues, biopharmaceuticals and biomedical models. Moreover, many agricultural microorganisms are human zoonoses. However, systems biology from functional genomics data is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation and agricultural research communities are smaller with limited funding compared to many model organism communities. DESCRIPTION: To facilitate systems biology in these traditionally agricultural species we have established "AgBase", a curated, web-accessible, public resource http://www.agbase.msstate.edu for structural and functional annotation of agricultural genomes. The AgBase database includes a suite of computational tools to use GO annotations. We use standardized nomenclature following the Human Genome Organization Gene Nomenclature guidelines and are currently functionally annotating chicken, cow and sheep gene products using the Gene Ontology (GO). The computational tools we have developed accept and batch process data derived from different public databases (with different accession codes), return all existing GO annotations, provide a list of products without GO annotation, identify potential orthologs, model functional genomics data using GO and assist proteomics analysis of ESTs and EST assemblies. Our journal database helps prevent redundant manual GO curation. We encourage and publicly acknowledge GO annotations from researchers and provide a service for researchers interested in GO and analysis of functional genomics data. CONCLUSION: The AgBase database is the first database dedicated to functional genomics and systems biology analysis for agriculturally important species and their pathogens. We use experimental data to improve structural annotation of genomes and to functionally characterize gene products. AgBase is also directly relevant for researchers in fields as diverse as agricultural production, cancer biology, biopharmaceuticals, human health and evolutionary biology. Moreover, the experimental methods and bioinformatics tools we provide are widely applicable to many other species including model organisms.

Agriculture↗

Genome editing research initiatives and regulatory landscape of genome edited crops in India.

Food and nutritional security are the top priorities in Indian agriculture. Exponential population growth coupled with climate change effects has become a serious challenge for sustainable agriculture. Genome editing has revolutionized the agricultural sector because of its ability to create precise, stable and predictable modifications in the genome and therefore, offers great opportunities for crop improvement in India. However, for harvesting the real benefits of this technology in agriculture sector, there is a strong need of creating awareness among the end users and development of suitable policies for regularization of genome edited products. Many regulatory agencies around the world have been modernizing their regulatory approaches to be more risk proportionate and to reflect a more science-based approach. In this article, recent research initiatives and developments undertaken by different Indian institutes/organizations for the genetic improvement of agricultural and horticultural crops via genome editing technologies are summarized. Furthermore, to benefit from this potential technology in our country, regulatory policies must be clear, science-based and proportionate. Therefore, in the present review, the regulatory policies related to the genome editing of crop products in India are discussed in detail. This review will sensitize researchers and stakeholders to the application of genome editing techniques in crop improvement and various biosafety committees involved in the development and regulation of genome edited crops.

Crops, Agricultural↗

Model selection for quantitative trait locus analysis in polyploids.

Over the years, substantial gains have been made in locating regions of agricultural genomes associated with characteristics, diseases, and agroeconomic traits. These gains have relied heavily on the ability to statistically estimate the association between DNA markers and regions of a genome (quantitative trait loci or QTL) related to a particular trait. The majority of these advances have focused on diploid species, even though many important agricultural crops are, in fact, polyploid. The purpose of our work is to initiate an algorithmic approach for model selection and QTL detection in polyploid species. This approach involves the construction of all possible chromosomal configurations (models) that may result in a gamete, model reduction based on estimation of marker dosage from progeny data, and lastly model selection. While simplified for initial explanation, our approach has demonstrated itself to be extendible to many breeding schemes and less restricted settings.

Agriculture↗

Real-time detection of nucleic acid interactions by total internal reflection fluorescence.

This paper describes the development of an optical readout system for the real-time analysis of fluorescent-labeled DNA microarrays is described. The system is targeted toward research applications in genomics, agriculture, and life sciences, where the end-point detection of state-of-the-art readout systems does not provide sufficient information on the hybridization process. The hybridization progress of molecules from the liquid phase in a flow cell to immobilized oligonucleotides on a transducer surface can be observed. The excitation of fluorochromes is realized by a semiconductor laser, and the fluorescence emission is collected by a cooled CCD camera. Quantitative data can be extracted from the images for analysis of the microarray. For the signal transduction, the principle of total internal reflection is used. With a multiple internal reflection arrangement, the sensor chip was adapted to the standard microscope slide format and a homogeneous evanescent illumination of the active area of the sensor surface was achieved. An application measurement was carried out with this readout system. The hybridization of Cy5-labeled 30-mer single-stranded oligonucleotides to fully complementary immobilized strands was observed in real time. A kinetic analysis was demonstrated with the recorded data. Melting curves of a 140-mer PCR product from a hemochromatosis patient sample hybridized to immobilized wild-type mutant 15- and 17-mer oligonucleotides were recorded and single-point mutations could be detected.

Hemochromatosis↗

Interlocus V-J recombination measures genomic instability in agriculture workers at risk for lymphoid malignancies.

V(D)J [variable-(diversity)-joining] rearrangements occur between, as well as within, immune receptor loci, resulting in the generation of hybrid antigen-receptor genes and the formation of a variety of lymphocyte-specific chromosomal aberrations. Such hybrid genes occur at a low frequency in the peripheral blood lymphocytes (PBL) of normal individuals but show a markedly increased incidence in the PBL of individuals with the autosomal recessive disease ataxia-telangiectasia. In this manuscript we demonstrate that the frequency of hybrid antigen-receptor genes is 10- to 20-fold increased in the PBL of an occupational group, agriculture workers, with related environmental exposures. Both ataxia-telangiectasia patients and this population of agriculture workers are at increased risk for lymphoid malignancy. This result suggests that the measurement of hybrid antigen receptor-genes in PBL may be a sensitive assay for a type of lymphocyte-specific genomic instability. As a corollary, this assay may identify populations at risk of developing common types of lymphoid malignancy.

Agricultural Workers' Diseases↗

Marker-evaluated selection in rice: shifts in allele frequency among bulks selected in contrasting agricultural environments identify genomic regions of importance to rice adaptation and breeding.

Conventional methods for quantitative trait locus (QTL) mapping require the selection of particular traits to be measured based on assumptions as to their importance. We have tested an alternative approach for the location of QTLs-marker-evaluated selection-that makes no prior assumptions as to which traits are important. The results of phenotype selection were evaluated in the products of modified bulk-population breeding that was replicated across a range of rice ecosystems. Selection was carried out in close collaboration with farmers in bulk populations that were all derived from a cross between an Indian upland variety (Kalinga III) and a high-yielding semi-dwarf variety (IR64).Twenty-seven diverse bulks were produced that were screened with molecular markers in order to determine whether shifts could be detected in marker allele frequency as a result of selection and if such changes varied by genomic region across ecosystems. Marker loci linked to important traits for adaptation to specific environments were identified without making any prior assumptions about which traits might be important. Genomic regions from Kalinga III were strongly selected in the upland environments and regions from IR64 in the lowland ones.However, exceptions occurred where the upland parent contributed positively to lowland adaptation and vice versa. The results can be used as a basis for the development of second-cycle varieties, using marker-assisted selection to produce genotypic ideotypes for specific target environments. The very strong selection for genomic regions from the adapted parents of the wide(upland x lowland) cross indicates that, in non-marker-assisted breeding, where genetically distant parents have been used, modified backcross breeding should be efficient. A single backcross to the adapted parent for aspecific ecosystem will result in a higher frequency of segregants with the desired high genetic contribution from the adapted parent.

Acclimatization↗

AgBase: a unified resource for functional analysis in agriculture.

Analysis of functional genomics (transcriptomics and proteomics) datasets is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation. To facilitate systems biology in these species we have established the curated, web-accessible, public resource 'AgBase' (www.agbase.msstate.edu). We have improved the structural annotation of agriculturally important genomes by experimentally confirming the in vivo expression of electronically predicted proteins and by proteogenomic mapping. Proteogenomic data are available from the AgBase proteogenomics link. We contribute Gene Ontology (GO) annotations and we provide a two tier system of GO annotations for users. The 'GO Consortium' gene association file contains the most rigorous GO annotations based solely on experimental data. The 'Community' gene association file contains GO annotations based on expert community knowledge (annotations based directly from author statements and submitted annotations from the community) and annotations for predicted proteins. We have developed two tools for proteomics analysis and these are freely available on request. A suite of tools for analyzing functional genomics datasets using the GO is available online at the AgBase site. We encourage and publicly acknowledge GO annotations from researchers and provide an online mechanism for agricultural researchers to submit requests for GO annotations.

Agriculture↗

Leafing through the genomes of our major crop plants: strategies for capturing unique information.

Crop plants not only have economic significance, but also comprise important botanical models for evolution and development. This is reflected by the recent increase in the percentage of publicly available sequence data that are derived from angiosperms. Further genome sequencing of the major crop plants will offer new learning opportunities, but their large, repetitive, and often polyploid genomes present challenges. Reduced-representation approaches - such as EST sequencing, methyl filtration and Cot-based cloning and sequencing - provide increased efficiency in extracting key information from crop genomes without full-genome sequencing. Combining these methods with phylogenetically stratified sampling to allow comparative genomic approaches has the potential to further accelerate progress in angiosperm genomics.

Crops, Agricultural↗