Improving crop yield potential: Underlying biological processes and future prospects.

The growing world population and global increases in the standard of living both result in an increasing demand for food, feed and other plant-derived products. In the coming years, plant-based research will be among the major drivers ensuring food security and the expansion of the bio-based economy. Crop productivity is determined by several factors, including the available physical and agricultural resources, crop management, and the resource use efficiency, quality and intrinsic yield potential of the chosen crop. This review focuses on intrinsic yield potential, since understanding its determinants and their biological basis will allow to maximize the plant's potential in food and energy production. Yield potential is determined by a variety of complex traits that integrate strictly regulated processes and their underlying gene regulatory networks. Due to this inherent complexity, numerous potential targets have been identified that could be exploited to increase crop yield. These encompass diverse metabolic and physical processes at the cellular, organ and canopy level. We present an overview of some of the distinct biological processes considered to be crucial for yield determination that could further be exploited to improve future crop productivity.

Designing the Crops for the Future; The CropBooster Program.

The realization of the full objectives of international policies targeting global food security and climate change mitigation, including the United Nation's Sustainable Development Goals, the Paris Climate Agreement COP21 and the European Green Deal, requires that we (i) sustainably increase the yield, nutritional quality and biodiversity of major crop species, (ii) select climate-ready crops that are adapted to future weather dynamic and (iii) increase the resource use efficiency of crops for sustainably preserving natural resources. Ultimately, the grand challenge to be met by agriculture is to sustainably provide access to sufficient, nutritious and diverse food to a worldwide growing population, and to support the circular bio-based economy. Future-proofing our crops is an urgent issue and a challenging goal, involving a diversity of crop species in differing agricultural regimes and under multiple environmental drivers, providing versatile crop-breeding solutions within wider socio-economic-ecological systems. This goal can only be realized by a large-scale, international research cooperation. We call for international action and propose a pan-European research initiative, the CropBooster Program, to mobilize the European plant research community and interconnect it with the interdisciplinary expertise necessary to face the challenge.

A genome-wide genetic map of NB-LRR disease resistance loci in potato.

Like all plants, potato has evolved a surveillance system consisting of a large array of genes encoding for immune receptors that confer resistance to pathogens and pests. The majority of these so-called resistance or R proteins belong to the super-family that harbour a nucleotide binding and a leucine-rich-repeat domain (NB-LRR). Here, sequence information of the conserved NB domain was used to investigate the genome-wide genetic distribution of the NB-LRR resistance gene loci in potato. We analysed the sequences of 288 unique BAC clones selected using filter hybridisation screening of a BAC library of the diploid potato clone RH89-039-16 (S. tuberosum ssp. tuberosum) and a physical map of this BAC library. This resulted in the identification of 738 partial and full-length NB-LRR sequences. Based on homology of these sequences with known resistance genes, 280 and 448 sequences were classified as TIR-NB-LRR (TNL) and CC-NB-LRR (CNL) sequences, respectively. Genetic mapping revealed the presence of 15 TNL and 32 CNL loci. Thirty-six are novel, while three TNL loci and eight CNL loci are syntenic with previously identified functional resistance genes. The genetic map was complemented with 68 universal CAPS markers and 82 disease resistance trait loci described in literature, providing an excellent template for genetic studies and applied research in potato.

Solanum lycopersicum cv. Heinz 1706 chromosome 6: distribution and abundance of genes and retrotransposable elements.

We studied the physical and genetic organization of chromosome 6 of tomato (Solanum lycopersicum) cv. Heinz 1706 by combining bacterial artificial chromosome (BAC) sequence analysis, high-information-content fingerprinting, genetic analysis, and BAC-fluorescent in situ hybridization (FISH) mapping data. The chromosome positions of 81 anchored seed and extension BACs corresponded in most cases with the linear marker order on the high-density EXPEN 2000 linkage map. We assembled 25 BAC contigs and eight singleton BACs spanning 2.0 Mb of the short-arm euchromatin, 1.8 Mb of the pericentromeric heterochromatin and 6.9 Mb of the long-arm euchromatin. Sequence data were combined with their corresponding genetic and pachytene chromosome positions into an integrated map that covers approximately a third of the chromosome 6 euchromatin and a small part of the pericentromeric heterochromatin. We then compared physical length (Mb), genetic (cM) and chromosome distances (microm) for determining gap sizes between contigs, revealing relative hot and cold spots of recombination. Through sequence annotation we identified several clusters of functionally related genes and an uneven distribution of both gene and repeat sequences between heterochromatin and euchromatin domains. Although a greater number of the non-transposon genes were located in the euchromatin, the highly repetitive (22.4%) pericentromeric heterochromatin displayed an unexpectedly high gene content of one gene per 36.7 kb. Surprisingly, the short-arm euchromatin was relatively rich in repeats as well, with a repeat content of 13.4%, yet the ratio of Ty3/Gypsy and Ty1/Copia retrotransposable elements across the chromosome clearly distinguished euchromatin (2:3) from heterochromatin (3:2).

High-resolution chromosome mapping of BACs using multi-colour FISH and pooled-BAC FISH as a backbone for sequencing tomato chromosome 6.

Within the framework of the International Solanaceae Genome Project, the genome of tomato (Solanum lycopersicum) is currently being sequenced. We follow a 'BAC-by-BAC' approach that aims to deliver high-quality sequences of the euchromatin part of the tomato genome. BACs are selected from various libraries of the tomato genome on the basis of markers from the F2.2000 linkage map. Prior to sequencing, we validated the precise physical location of the selected BACs on the chromosomes by five-colour high-resolution fluorescent in situ hybridization (FISH) mapping. This paper describes the strategies and results of cytogenetic mapping for chromosome 6 using 75 seed BACs for FISH on pachytene complements. The cytogenetic map obtained showed discrepancies between the actual chromosomal positions of these BACs and their markers on the linkage group. These discrepancies were most notable in the pericentromere heterochromatin, thus confirming previously described suppression of cross-over recombination in that region. In a so called pooled-BAC FISH, we hybridized all seed BACs simultaneously and found a few large gaps in the euchromatin parts of the long arm that are still devoid of seed BACs and are too large for coverage by expanding BAC contigs. Combining FISH with pooled BACs and newly recruited seed BACs will thus aid in efficient targeting of novel seed BACs into these areas. Finally, we established the occurrence of repetitive DNA in heterochromatin/euchromatin borders by combining BAC FISH with hybridization of a labelled repetitive DNA fraction (Cot-100). This strategy provides an excellent means to establish the borders between euchromatin and heterochromatin in this chromosome.

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.

TOPAAS, a tomato and potato assembly assistance system for selection and finishing of bacterial artificial chromosomes.

We have developed the software package Tomato and Potato Assembly Assistance System (TOPAAS), which automates the assembly and scaffolding of contig sequences for low-coverage sequencing projects. The order of contigs predicted by TOPAAS is based on read pair information; alignments between genomic, expressed sequence tags, and bacterial artificial chromosome (BAC) end sequences; and annotated genes. The contig scaffold is used by TOPAAS for automated design of nonredundant sequence gap-flanking PCR primers. We show that TOPAAS builds reliable scaffolds for tomato (Solanum lycopersicum) and potato (Solanum tuberosum) BAC contigs that were assembled from shotgun sequences covering the target at 6- to 8-fold coverage. More than 90% of the gaps are closed by sequence PCR, based on the predicted ordering information. TOPAAS also assists the selection of large genomic insert clones from BAC libraries for walking. For this, tomato BACs are screened by automated BLAST analysis and in parallel, high-density nonselective amplified fragment length polymorphism fingerprinting is used for constructing a high-resolution BAC physical map. BLAST and amplified fragment length polymorphism analysis are then used together to determine the precise overlap. Assembly onto the seed BAC consensus confirms the BACs are properly selected for having an extremely short overlap and largest extending insert. This method will be particularly applicable where related or syntenic genomes are sequenced, as shown here for the Solanaceae, and potentially useful for the monocots Brassicaceae and Leguminosea.

Cloning and functional analyses of a gene from sugar beet up-regulated upon cyst nematode infection.

The cDNA-AFLP technique was used to isolate sugar beet genes up-regulated upon infection with the beet cyst nematode Heterodera schachtii. Hairy root cultures were obtained from resistant plants carrying a Beta procumbens translocation as well as from a non-resistant control. mRNA was isolated from hairy root clones and sugar beet plants infected or not with the beet cyst nematode and 8000 transcript-derived fragments (TDFs) were analysed. One TDF was found to be differentially expressed in both materials and was further investigated. Real-time PCR confirmed that this TDF is specifically up-regulated in resistant sugar beet upon nematode infection and its full-length cDNA was isolated. Sequence analysis suggests that the gene encodes a 317 amino acid polypeptide of unknown function. No homology to any sequence present in the public databases could be detected. To further elucidate its function in resistance to the beet cyst nematode, the cDNA was transformed into hairy roots of susceptible sugar beet under the control of the 35S promoter and hairy root clones were inoculated with nematodes. The number of developing females was significantly reduced in 12 out of 15 clones resulting from independent transgenic events suggesting that the gene can be used for inducing cyst nematode resistance in plants.