Stuart J. Lucas

The drought response displayed by a DRE-binding protein from Triticum dicoccoides.

Drought is one of the major causes of dramatic yield loss in crop plants. Knowledge of how to alleviate this loss is still limited due to the complexity of both the stress condition and plant responses. Wild emmer wheat (Triticum turgidum ssp. dicoccoides) is a potential source of important drought-resistance genes for its cultivated relatives. The gene for an emmer DRE-binding protein, TdicDRF1, was cloned and shown to be drought-responsive with orthologs in other plants. This is the first report of the cloning of TdicDRF1, and its expression was further characterized by RT-PCR in both drought-sensitive and drought-resistant accessions of Triticum dicoccoides. Analysis of the AP2/ERF DNA-binding domain of TdicDRF1 as a GST-fusion protein and its binding to DRE by electrophoretic mobility shift assay (EMSA) indicate functional differences between wheat DREBs and those characterized in Arabidopsis thaliana. DREB expression increased in drought-stressed roots, correlating with the RT-PCR results, but not in leaf, showing that tissue-specific regulation occurs at the protein level. Hence, the DREB-DRE interaction undergoes subtle multi-level regulation.

Sorting the wheat from the chaff: identifying miRNAs in genomic survey sequences of Triticum aestivum chromosome 1AL.

Individual chromosome-based studies of bread wheat are beginning to provide valuable structural and functional information about one of the world’s most important crops. As new genome sequences become available, identifying miRNA coding sequences is arguably as important a task as annotating protein coding sequences, but one that is not as well developed. We compared conservation-based identification of conserved miRNAs in 1.5× coverage survey sequences of wheat chromosome 1AL with a predictive method based on pre-miRNA hairpin structure alone. In total, 42 sequences expected to encode conserved miRNAs were identified on chromosome 1AL, including members of several miRNA families that have not previously been reported to be expressed in T. aestivum. In addition, we demonstrate that a number of sequences previously annotated as novel wheat miRNAs are closely related to transposable elements, particularly Miniature Inverted Terminal repeat Elements (MITEs). Some of these TE-miRNAs may well have a functional role, but separating true miRNA coding sequences from TEs in genomic sequences is far from straightforward. We propose a strategy for annotation to minimize the risk of mis-identifying TE sequences as miRNAs.

Subgenomic analysis of microRNAs in polyploid wheat

In this study, a survey of miRNAs using the next-generation sequencing data was performed at subgenomic level. After analyzing shotgun sequences from chromosome 4A of bread wheat (Triticum aestivum L.), a total of 68 different miRNAs were predicted in silico, of which 37 were identified in wheat for the first time. The long arm of the chromosome was found to harbor a higher variety (51) and representation (3,928) of miRNAs compared with the short arm (49; 2,226). Out of the 68 miRNAs, 32 were detected to be common to both arms, revealing the presence of separate miRNA clusters in the two chromosome arms. The differences in degree of representation of the different miRNAs were found to be highly variable, ranging 592-fold, which may have an effect on target regulation. Targets were retrieved for 62 (out of 68) of wheat-specific, newly identified miRNAs indicated that fundamental aspects of plant morphology such as height and flowering were predicted to be affected. In silico expression blast analysis indicated 24 (out of 68) were found to give hits to expressed sequences. This is the first report of species- and chromosome-specific miRNAs.

Unique and Conserved MicroRNAs in Wheat Chromosome 5D Revealed by Next-Generation Sequencing

MicroRNAs are a class of short, non-coding, single-stranded RNAs that act as post-transcriptional regulators in gene expression. miRNA analysis of Triticum aestivum chromosome 5D was performed on 454 GS FLX Titanium sequences of flow-sorted chromosome 5D with a total of 3,208,630 good quality reads representing 1.34x and 1.61x coverage of the short (5DS) and long (5DL) arms of the chromosome respectively. In silico and structural analyses revealed a total of 55 miRNAs; 48 and 42 miRNAs were found to be present on 5DL and 5DS respectively, of which 35 were common to both chromosome arms, while 13 miRNAs were specific to 5DL and 7 miRNAs were specific to 5DS. In total, 14 of the predicted miRNAs were identified in wheat for the first time. Representation (the copy number of each miRNA) was also found to be higher in 5DL (1,949) compared to 5DS (1,191). Targets were predicted for each miRNA, while expression analysis gave evidence of expression for 6 out of 55 miRNAs. Occurrences of the same miRNAs were also found in Brachypodium distachyon and Oryza sativa genome sequences to identify syntenic miRNA coding sequences. Based on this analysis, two other miRNAs: miR1133 and miR167 were detected in B. distachyon syntenic region of wheat 5DS. Five of the predicted miRNA coding regions (miR6220, miR5070, miR169, miR5085, miR2118) were experimentally verified to be located to the 5D chromosome and three of them : miR2118, miR169 and miR5085, were shown to be 5D specific. Furthermore miR2118 was shown to be expressed in Chinese Spring adult leaves. miRNA genes identified in this study will expand our understanding of gene regulation in bread wheat.

Plant abiotic stress signaling

Stress signaling is central to plants which—as immobile organisms—have to endure environmental fluctuations that constantly interfere with vigorous growth. As a result, plant-specific, elaborate mechanisms have evolved to perceive and respond to stress conditions. Currently, these stress responses are plausibly being revealed to involve crosstalks with energy signaling pathways as any growth-limiting factor alters plant’s energy status. Among these, autophagy, conventionally regarded as the mechanism whereby plants recycle and remobilize nutrients in bulk, has frequently been associated with stress responses. With the recent discoveries, however, autophagy has attained a novel role in stress signaling. In this review, major elements of abitoic stress signaling are summarized along with autophagy pathway, and in the light of recent discoveries, a putative, state-of-art role of autophagy is discussed.

Drought stress: molecular genetics and genomics approaches

Agriculture faces a constant challenge to increase crop production annually in response to human population growth. As land and water resources become limiting, high-yielding crops even in environmentally stressful conditions will be essential. Drought is the single largest abiotic stress factor leading to reduced crop yields, and as such, has been a target of research for some decades. Recently, however, the rapid advance of molecular biological, transgenic and functional genomics technologies has facilitated significant progress in identifying some aspects of the drought response in plants. This chapter summarizes the current state of knowledge of the molecular events that take place when a plant is under drought stress, starting with the mechanisms by which the plant perceives drought and the intracellular signalling pathways that are engaged in initiating the drought response. Next, the functional importance of various biomolecules that are synthesized or activated to protect the plant from cellular damage during drought are considered. The differing capacity of varieties of the same species to respond to drought stress is associated with differing gene expression patterns, so the mechanisms by which drought-responsive gene expression is regulated are discussed at the transcriptional and post-transcriptional levels. A large number of genes and gene products have been implicated in the drought response, but identifying which are most useful for breeding drought-resistant crop varieties remains a significant technical challenge. The second half of the chapter, therefore, surveys the molecular methods that are currently in use for drought research, and ways in which they can be applied to accelerate breeding for drought resistance. Particular focus is given to post-genomic techniques—transcriptomics, proteomics and metabolomics—assessing the relative strengths and weaknesses of each approach and how to make use of the large datasets they produce.

Physical Mapping Integrated with Syntenic Analysis to Characterize the Gene Space of the Long Arm of Wheat Chromosome 1A

Background Bread wheat (Triticum aestivum L.) is one of the most important crops worldwide and its production faces pressing challenges, the solution of which demands genome information. However, the large, highly repetitive hexaploid wheat genome has been considered intractable to standard sequencing approaches. Therefore the International Wheat Genome Sequencing Consortium (IWGSC) proposes to map and sequence the genome on a chromosome-by-chromosome basis. Methodology/Principal Findings We have constructed a physical map of the long arm of bread wheat chromosome 1A using chromosome-specific BAC libraries by High Information Content Fingerprinting (HICF). Two alternative methods (FPC and LTC) were used to assemble the fingerprints into a high-resolution physical map of the chromosome arm. A total of 365 molecular markers were added to the map, in addition to 1122 putative unique transcripts that were identified by microarray hybridization. The final map consists of 1180 FPC-based or 583 LTC-based contigs. Conclusions/Significance The physical map presented here marks an important step forward in mapping of hexaploid bread wheat. The map is orders of magnitude more detailed than previously available maps of this chromosome, and the assignment of over a thousand putative expressed gene sequences to specific map locations will greatly assist future functional studies. This map will be an essential tool for future sequencing of and positional cloning within chromosome 1A.

Genomics approaches for crop improvement against abiotic stress.

As sessile organisms, plants are inevitably exposed to one or a combination of stress factors every now and then throughout their growth and development. Stress responses vary considerably even in the same plant species; stress-susceptible genotypes are at one extreme, and stress-tolerant ones are at the other. Elucidation of the stress responses of crop plants is of extreme relevance, considering the central role of crops in food and biofuel production. Crop improvement has been a traditional issue to increase yields and enhance stress tolerance; however, crop improvement against abiotic stresses has been particularly compelling, given the complex nature of these stresses. As traditional strategies for crop improvement approach their limits, the era of genomics research has arisen with new and promising perspectives in breeding improved varieties against abiotic stresses.

Next-generation sequencing of flow-sorted wheat chromosome 5D reveals lineage-specific translocations and widespread gene duplications

BackgroundThe ~17 Gb hexaploid bread wheat genome is a high priority and a major technical challenge for genomic studies. In particular, the D sub-genome is relatively lacking in genetic diversity, making it both difficult to map genetically, and a target for introgression of agriculturally useful traits. Elucidating its sequence and structure will therefore facilitate wheat breeding and crop improvement.ResultsWe generated shotgun sequences from each arm of flow-sorted Triticum aestivum chromosome 5D using 454 FLX Titanium technology, giving 1.34× and 1.61× coverage of the short (5DS) and long (5DL) arms of the chromosome respectively. By a combination of sequence similarity and assembly-based methods, ~74% of the sequence reads were classified as repetitive elements, and coding sequence models of 1314 (5DS) and 2975 (5DL) genes were generated. The order of conserved genes in syntenic regions of previously sequenced grass genomes were integrated with physical and genetic map positions of 518 wheat markers to establish a virtual gene order for chromosome 5D.ConclusionsThe virtual gene order revealed a large-scale chromosomal rearrangement in the peri-centromeric region of 5DL, and a concentration of non-syntenic genes in the telomeric region of 5DS. Although our data support the large-scale conservation of Triticeae chromosome structure, they also suggest that some regions are evolving rapidly through frequent gene duplications and translocations.Sequence accessionsEBI European Nucleotide Archive, Study no. ERP002330

Sequencing chromosome 5D of Aegilops tauschii and comparison with its allopolyploid descendant bread wheat (Triticum aestivum)

Flow cytometric sorting of individual chromosomes and chromosome-based sequencing reduces the complexity of large, repetitive Triticeae genomes. We flow-sorted chromosome 5D of Aegilops tauschii, the D genome donor of bread wheat and sequenced it by Roche 454 GS FLX platform to approximately 2.2x coverage. Repetitive sequences represent 81.09% of the survey sequences of this chromosome, and Class I retroelements are the prominent type, with a particular abundance of LTR/Gypsy superfamily. Nonrepetitive sequences were assembled to cover 17.76% of the total chromosome regions. Up to 6188 nonrepetitive gene loci were predicted to be encoded by the 5D chromosome. The numbers and chromosomal distribution patterns of tRNA genes suggest abundance in tRNA(L) (ys) and tRNA(M) (et) species, while the nonrepetitive assembly reveals tRNA(A) (la) species as the most abundant type. A comparative analysis of the genomic sequences of bread wheat and Aegilops chromosome 5D indicates conservation of gene content. Orthologous unique genes, matching Aegilops 5D sequences, numbered 3730 in barley, 5063 in Brachypodium, 4872 in sorghum and 4209 in rice. In this study, we provide a chromosome-specific view into the structure and organization of the 5D chromosome of Ae. tauschii, the D genome ancestor of bread wheat. This study contributes to our understanding of the chromosome-level evolution of the wheat genome and presents a valuable resource in wheat genomics due to the recent hybridization of Ae. tauschii genome with its tetraploid ancestor.