Integrating transcriptomics into triad-based soil-quality assessment.

The present study examined how transcriptomics tools can be included in a triad-based soil-quality assessment to assess the toxicity of soils from riverbanks polluted by metals. To that end, the authors measured chemical soil properties and used the International Organization for Standardization guideline for ecotoxicological tests and a newly developed microarray for gene expression in the indicator soil arthropod Folsomia candida. Microarray analysis revealed that the oxidative stress response pathway was significantly affected in all soils except one. The data indicate that changes in cell redox homeostasis are a significant signature of metal stress. Finally, 32 genes showed significant dose-dependent expression with metal concentrations. They are promising genetic markers providing an early indication of the need for higher-tier testing of soil quality. During the bioassay, the toxicity of the least polluted soils could be removed by sterilization. The gene expression profile for this soil did not show a metal-related signature, confirming that a factor other than metals (most likely of biological origin) caused the toxicity. The present study demonstrates the feasibility and advantages of integrating transcriptomics into triad-based soil-quality assessment. Combining molecular and organismal life-history trait stress responses helps to identify causes of adverse effects in bioassays. Further validation is needed for verifying the set of genes with dose-dependent expression patterns linked with toxic stress.

Collembase: a repository for springtail genomics and soil quality assessment.

BACKGROUND: Environmental quality assessment is traditionally based on responses of reproduction and survival of indicator organisms. For soil assessment the springtail Folsomia candida (Collembola) is an accepted standard test organism. We argue that environmental quality assessment using gene expression profiles of indicator organisms exposed to test substrates is more sensitive, more toxicant specific and significantly faster than current risk assessment methods. To apply this species as a genomic model for soil quality testing we conducted an EST sequencing project and developed an online database. DESCRIPTION: Collembase is a web-accessible database comprising springtail (F. candida) genomic data. Presently, the database contains information on 8686 ESTs that are assembled into 5952 unique gene objects. Of those gene objects approximately 40% showed homology to other protein sequences available in GenBank (blastx analysis; non-redundant (nr) database; expect-value < 10-5). Software was applied to infer protein sequences. The putative peptides, which had an average length of 115 amino-acids (ranging between 23 and 440) were annotated with Gene Ontology (GO) terms. In total 1025 peptides (approximately 17% of the gene objects) were assigned at least one GO term (expect-value < 10-25). Within Collembase searches can be conducted based on BLAST and GO annotation, cluster name or using a BLAST server. The system furthermore enables easy sequence retrieval for functional genomic and Quantitative-PCR experiments. Sequences are submitted to GenBank (Accession numbers: EV473060 - EV481745). CONCLUSION: Collembase http://www.collembase.org is a resource of sequence data on the springtail F. candida. The information within the database will be linked to a custom made microarray, based on the Agilent platform, which can be applied for soil quality testing. In addition, Collembase supplies information that is valuable for related scientific disciplines such as molecular ecology, ecogenomics, molecular evolution and phylogenetics.