Biomedical subjects

Steven Tanksley

Publications and source records attributed to Steven Tanksley.

4 recordsLinked to original sources

PubMed2005

Utilization of tomato microarrays for comparative gene expression analysis in the Solanaceae.

Transcriptional profiling allows for the assessment and comparison of cross-species gene activity and function on a comprehensive scale. The Solanaceae is a large, diverse dicot family, with well-established genetic relationships between major crop species (tomato, potato, pepper, eggplant, and tobacco). Although Arabidopsis thaliana is often the model of choice for anchoring comparative studies, certain biological processes are better examined in other plants. The ripening of fleshy fruits is not tractable in Arabidopsis; however, it has received considerable attention in tomato. As a member of the Solanaceae, tomato provides a well-characterized system to anchor transcriptional profiles of fruit ripening and development in related species. By utilizing different stages of tomato, pepper, and eggplant fruit, the use of tomato microarrays for expression analysis has been demonstrated in closely related heterologous species, and groups of candidate expressed sequence tags, which are useful as orthologous markers, have been identified, as well as genes implicated in fruit ripening and development in the Solanaceae.

Fruit↗

PubMed2005

Development of a set of PCR-based anchor markers encompassing the tomato genome and evaluation of their usefulness for genetics and breeding experiments.

Tomato and potato expressed sequence tag (EST) sequences contained in the solanaceae genomics network (SGN) database were screened for simple sequence repeat (SSR) motifs. A total of 609 SSRs were identified and assayed on Solanum lycopersicum LA925 (formerly Lycopersicon esculentum) and S. pennellii LA716 (formerly L. pennellii). The SSRs that did not amplify, gave multiple band products, or did not exhibit a polymorphism that could be readily detected on standard agarose gels in either of these species were eliminated. A set of 76 SSRs meeting these criteria was then placed on the S. lycopersicum (LA925) x S. pennellii (LA716) high-density map. A set of 76 selected cleaved amplified polymorphism (CAP) markers was also developed and mapped onto the same population. These 152 PCR-based anchor markers are uniformly distributed and encompass 95% of the genome with an average spacing of 10.0 cM. These PCR-based markers were further used to characterize S. pennellii introgression lines (Eshed and Zamir, Genetics 141:1147-1162, 1995) and should prove helpful in utilizing these stocks for high-resolution mapping experiments. The majority of these anchor markers also exhibit polymorphism between S. lycopersicum and two wild species commonly used as parents for mapping experiments, S. pimpinellifolium (formerly L. pimpinellifolium) and S. habrochaites (formerly L. hirsutum), indicating that they will be useful for mapping in other interspecific populations. Sixty of the mapped SSRs plus another 49 microsatellites were tested for polymorphism in seven tomato cultivars, four S. lycopersicum var. cerasiforme accessions and eight accessions of five different wild tomato species. Polymorphism information content values were highest among the wild accessions, with as many as 13 alleles detected per locus over all accessions. Most of the SSRs (90%) had accession-specific alleles, with the most unique alleles and heterozygotes usually found in accessions of self-incompatible species. The markers should be a useful resource for qualitative and quantitative trait mapping, marker-assisted selection, germplasm identification, and genetic diversity studies in tomato. The genetic map and marker information can be found on SGN (http://www.sgn.cornell.edu).

Breeding↗

PubMed2005

Bayesian and maximum likelihood estimation of genetic maps.

There has recently been increased interest in the use of Markov Chain Monte Carlo (MCMC)-based Bayesian methods for estimating genetic maps. The advantage of these methods is that they can deal accurately with missing data and genotyping errors. Here we present an extension of the previous methods that makes the Bayesian method applicable to large data sets. We present an extensive simulation study examining the statistical properties of the method and comparing it with the likelihood method implemented in Mapmaker. We show that the Maximum A Posteriori (MAP) estimator of the genetic distances, corresponding to the maximum likelihood estimator, performs better than estimators based on the posterior expectation. We also show that while the performance is similar between Mapmaker and the MCMC-based method in the absence of genotyping errors, the MCMC-based method has a distinct advantage in the presence of genotyping errors. A similar advantage of the Bayesian method was not observed for missing data. We also re-analyse a recently published set of data from the eggplant and show that the use of the MCMC-based method leads to smaller estimates of genetic distances.

Algorithms↗

PubMed2002

Deductions about the number, organization, and evolution of genes in the tomato genome based on analysis of a large expressed sequence tag collection and selective genomic sequencing.

Analysis of a collection of 120,892 single-pass ESTs, derived from 26 different tomato cDNA libraries and reduced to a set of 27,274 unique consensus sequences (unigenes), revealed that 70% of the unigenes have identifiable homologs in the Arabidopsis genome. Genes corresponding to metabolism have remained most conserved between these two genomes, whereas genes encoding transcription factors are among the fastest evolving. The majority of the 10 largest conserved multigene families share similar copy numbers in tomato and Arabidopsis, suggesting that the multiplicity of these families may have occurred before the divergence of these two species. An exception to this multigene conservation was observed for the E8-like protein family, which is associated with fruit ripening and has higher copy number in tomato than in Arabidopsis. Finally, six BAC clones from different parts of the tomato genome were isolated, genetically mapped, sequenced, and annotated. The combined analysis of the EST database and these six sequenced BACs leads to the prediction that the tomato genome encodes approximately 35,000 genes, which are sequestered largely in euchromatic regions corresponding to less than one-quarter of the total DNA in the tomato nucleus.

Arabidopsis↗