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Biomedical subjects

Kevin L Childs

Publications and source records attributed to Kevin L Childs.

4 recordsLinked to original sources

The TIGR Plant Transcript Assemblies database.

The TIGR Plant Transcript Assemblies (TA) database (http://plantta.tigr.org) uses expressed sequences collected from the NCBI GenBank Nucleotide database for the construction of transcript assemblies. The sequences collected include expressed sequence tags (ESTs) and full-length and partial cDNAs, but exclude computationally predicted gene sequences. The TA database includes all plant species for which more than 1000 EST or cDNA sequences are publicly available. The EST and cDNA sequences are first clustered based on an all-versus-all pairwise sequence comparison, followed by the generation of consensus sequences (TAs) from individual clusters. The clustering and assembly procedures use the TGICL tool, Megablast and the CAP3 assembler. The UniProt Reference Clusters (UniRef100) protein database is used as the reference database for the functional annotation of the assemblies. The transcription orientation of each TA is determined based on the orientation of the alignment with the best protein hit. The TA sequences and annotation are available via web interfaces and FTP downloads. Assemblies can be retrieved by a text-based keyword search or a sequence-based BLAST search. The current version of the TA database is Release 2 (July 17, 2006) and includes a total of 215 plant species.

DNA, Complementary↗

Community annotation: procedures, protocols, and supporting tools.

Investigators at the Baylor College of Medicine Human Genome Sequencing Center (BCM-HGSC) and BeeBase organized a community-wide effort to manually annotate the honey bee (Apis mellifera) genome. Although various strategies for manual annotation have been used in the past, the value of dispersed community annotation has not yet been demonstrated. Here we make a case for the merit of dispersed community annotation. We present annotation procedures, standard protocols, and tools used for sequence analysis, data submission, and data management. We also report lessons learned from this dispersed community annotation effort for a metazoan genome.

Animals↗

Targeted analysis of orthologous phytochrome A regions of the sorghum, maize, and rice genomes using comparative gene-island sequencing.

A "gene-island" sequencing strategy has been developed that expedites the targeted acquisition of orthologous gene sequences from related species for comparative genome analysis. A 152-kb bacterial artificial chromosome (BAC) clone from sorghum (Sorghum bicolor) encoding phytochrome A (PHYA) was fully sequenced, revealing 16 open reading frames with a gene density similar to many regions of the rice (Oryza sativa) genome. The sequences of genes in the orthologous region of the maize (Zea mays) and rice genomes were obtained using the gene-island sequencing method. BAC clones containing the orthologous maize and rice PHYA genes were identified, sheared, subcloned, and probed with the sorghum PHYA-containing BAC DNA. Sequence analysis revealed that approximately 75% of the cross-hybridizing subclones contained sequences orthologous to those within the sorghum PHYA BAC and less than 25% contained repetitive and/or BAC vector DNA sequences. The complete sequence of four genes, including up to 1 kb of their promoter regions, was identified in the maize PHYA BAC. Nine orthologous gene sequences were identified in the rice PHYA BAC. Sequence comparison of the orthologous sorghum and maize genes aided in the identification of exons and conserved regulatory sequences flanking each open reading frame. Within genomic regions where micro-colinearity of genes is absolutely conserved, gene-island sequencing is a particularly useful tool for comparative analysis of genomes between related species.

Base Sequence↗

Integrated karyotyping of sorghum by in situ hybridization of landed BACs.

The reliability of genome analysis and proficiency of genetic manipulation are increased by assignment of linkage groups to specific chromosomes, placement of centromeres, and orientation with respect to telomeres. We have endeavored to establish means to enable these steps in sorghum (Sorghum bicolor (L.) Moench), the genome of which contains ca. 780 Mbp spread across n = 10 chromosomes. Our approach relies on fluorescence in situ hybridization (FISH) and integrated structural genomic resources, including large-insert genomic clones in bacterial artificial chromosome (BAC) libraries. To develop robust FISH probes, we selected sorghum BACs by association with molecular markers that map near the ends of linkage groups, in regions inferred to be high in recombination. Overall, we selected 22 BACs that encompass the 10 linkage groups. As a prelude to development of a multiprobe FISH cocktail, we evaluated BAC-derived probes individually and in small groups. Biotin- and digoxygenin-labeled probes were made directly from the BAC clones and hybridized in situ to chromosomes without using suppressive unlabelled C0t-1 DNA. Based on FISH-signal strength and the relative degree of background signal, we judged 19 BAC-derived probes to be satisfactory. Based on their relative position, and collective association with all 10 linkage groups, we chose 17 of the 19 BACs to develop a 17-locus probe cocktail for dual-color detection. FISH of the cocktail allowed simultaneous identification of all 10 chromosomes. The results indicate that linkage and physical maps of sorghum allow facile selection of BAC clones according to position and FISH-signal quality. This capability will enable development of a high-quality molecular cytogenetic map and an integrated genomics system for sorghum, without need of chromosome flow sorting or microdissection. Moreover, transgeneric FISH experiments suggest that the sorghum system might be applicable to other Gramineae.

Chromosome Mapping↗