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Chickpea (Cicer arietinum) is the second most widely grown legume crop after soybean, accounting for a substantial proportion of human dietary nitrogen intake and playing a crucial role in food security in developing countries. We report the ∼738-Mb draft whole genome shotgun sequence of CDC Frontier, a kabuli chickpea variety, which contains an estimated 28,269 genes. Resequencing and analysis of 90 cultivated and wild genotypes from ten countries identifies targets of both breeding-associated genetic sweeps and breeding-associated balancing selection. Candidate genes for disease resistance and agronomic traits are highlighted, including traits that distinguish the two main market classes of cultivated chickpea - desi and kabuli. These data comprise a resource for chickpea improvement through molecular breeding and provide insights into both genome diversity and domestication. Copyright © 2013 Nature America, Inc.

Peanut or groundnut (Arachis hypogaea L.), a legume of South American origin, has high seed oil content (45–56%) and is a staple crop in semiarid tropical and subtropical regions, partially because of drought tolerance conferred by its geocarpic reproductive strategy. We present a draft genome of the peanut A-genome progenitor, Arachis duranensis, and 50,324 protein-coding gene models. Patterns of gene duplication suggest the peanut lineage has been affected by at least three polyploidizations since the origin of eudicots. Resequencing of synthetic Arachis tetraploids reveals extensive gene conversion in only three seed-to-seed generations since their formation by human hands, indicating that this process begins virtually immediately following polyploid formation. Expansion of some specific gene families suggests roles in the unusual subterranean fructification of Arachis. For example, the S1Fa-like transcription factor family has 126 Arachis members, in contrast to no more than five members in other examined plant species, and is more highly expressed in roots and etiolated seedlings than green leaves. The A. duranensis genome provides a major source of candidate genes for fructification, oil biosynthesis, and allergens, expanding knowledge of understudied areas of plant biology and human health impacts of plants, informing peanut genetic improvement and aiding deeper sequencing of Arachis diversity.

Significance Early branching events in the diversification of land plants and closely related algal lineages remain fundamental and unresolved questions in plant evolutionary biology. Accurate reconstructions of these relationships are critical for testing hypotheses of character evolution: for example, the origins of the embryo, vascular tissue, seeds, and flowers. We investigated relationships among streptophyte algae and land plants using the largest set of nuclear genes that has been applied to this problem to date. Hypothesized relationships were rigorously tested through a series of analyses to assess systematic errors in phylogenetic inference caused by sampling artifacts and model misspecification. Results support some generally accepted phylogenetic hypotheses, while rejecting others. This work provides a new framework for studies of land plant evolution. Reconstructing the origin and evolution of land plants and their algal relatives is a fundamental problem in plant phylogenetics, and is essential for understanding how critical adaptations arose, including the embryo, vascular tissue, seeds, and flowers. Despite advances in molecular systematics, some hypotheses of relationships remain weakly resolved. Inferring deep phylogenies with bouts of rapid diversification can be problematic; however, genome-scale data should significantly increase the number of informative characters for analyses. Recent phylogenomic reconstructions focused on the major divergences of plants have resulted in promising but inconsistent results. One limitation is sparse taxon sampling, likely resulting from the difficulty and cost of data generation. To address this limitation, transcriptome data for 92 streptophyte taxa were generated and analyzed along with 11 published plant genome sequences. Phylogenetic reconstructions were conducted using up to 852 nuclear genes and 1,701,170 aligned sites. Sixty-nine analyses were performed to test the robustness of phylogenetic inferences to permutations of the data matrix or to phylogenetic method, including supermatrix, supertree, and coalescent-based approaches, maximum-likelihood and Bayesian methods, partitioned and unpartitioned analyses, and amino acid versus DNA alignments. Among other results, we find robust support for a sister-group relationship between land plants and one group of streptophyte green algae, the Zygnematophyceae. Strong and robust support for a clade comprising liverworts and mosses is inconsistent with a widely accepted view of early land plant evolution, and suggests that phylogenetic hypotheses used to understand the evolution of fundamental plant traits should be reevaluated.

Stephen Wright, Detlef Weigel and colleagues report the whole-genome sequence of Capsella rubella , a highly selfing crucifer found throughout much of southern and western Europe. They compare mixed-stage flower bud transcriptomes from C. rubella and C. grandiflora , finding a shift in expression of genes associated with flowering phenotypes and providing insights into the transition to selfing. The shift from outcrossing to selfing is common in flowering plants 1 , 2 , but the genomic consequences and the speed at which they emerge remain poorly understood. An excellent model for understanding the evolution of self fertilization is provided by Capsella rubella , which became self compatible <200,000 years ago. We report a C. rubella reference genome sequence and compare RNA expression and polymorphism patterns between C. rubella and its outcrossing progenitor Capsella grandiflora . We found a clear shift in the expression of genes associated with flowering phenotypes, similar to that seen in Arabidopsis , in which self fertilization evolved about 1 million years ago. Comparisons of the two Capsella species showed evidence of rapid genome-wide relaxation of purifying selection in C. rubella without a concomitant change in transposable element abundance. Overall we document that the transition to selfing may be typified by parallel shifts in gene expression, along with a measurable reduction of purifying selection.

Transposons make up the bulk of eukaryotic genomes, but are difficult to annotate because they evolve rapidly. Most of the unannotated portion of sequenced genomes is probably made up of various divergent transposons that have yet to be categorized. Helitrons are unusual rolling circle eukaryotic transposons that often capture gene sequences, making them of considerable evolutionary importance. Unlike other DNA transposons, Helitrons do not end in inverted repeats or create target site duplications, so they are particularly challenging to identify. Here we present HelitronScanner, a two-layered local combinational variable (LCV) tool for generalized Helitron identification that represents a major improvement over previous identification programs based on DNA sequence or structure. HelitronScanner identified 64,654 Helitrons from a wide range of plant genomes in a highly automated way. We tested HelitronScanner’s predictive ability in maize, a species with highly heterogeneous Helitron elements. LCV scores for the 5′ and 3′ termini of the predicted Helitrons provide a primary confidence level and element copy number provides a secondary one. Newly identified Helitrons were validated by PCR assays or by in silico comparative analysis of insertion site polymorphism among multiple accessions. Many new Helitrons were identified in model species, such as maize, rice, and Arabidopsis , and in a variety of organisms where Helitrons had not been reported previously to our knowledge, leading to a major upward reassessment of their abundance in plant genomes. HelitronScanner promises to be a valuable tool in future comparative and evolutionary studies of this major transposon superfamily.

Key Points Mitochondria and chloroplasts contain their own genomes, but most of their proteins are encoded in the nucleus. The coordination of separate genomes is achieved by both anterograde mechanisms (nucleus to organelle) and retrograde signals (organelle to nucleus). Transcriptional regulation in organelles is mostly used for global rather than subtle changes in gene expression. Anterograde control of organelle gene expression is primarily post-transcriptional, involving nuclear-encoded regulators of organelle gene expression (ROGE) proteins that regulate the expression of specific organelle genes. In sugar-starved plant mitochondria, gene regulation occurs on a post-translational level and involves protein degradation and assembly. Retrograde signals from organelles are numerous, complex, fulfil different requirements for the cell and use mechanisms that are not conserved among the kingdoms. Tetrapyrroles act as retrograde signals in yeast mitochondria and in plant and algae chloroplasts, but with different effects. In plants, several retrograde signals converge in chloroplasts, where they are mediated by the genomes uncoupled 1 (GUN1) protein. In plants, cell death caused by singlet oxygen is a genetically programmed response to a retrograde signal mediated by the EXECUTER 1 protein. Chloroplast-to-mitochondrion cross-talk involves retrograde signals from one organelle to the nucleus, which then modules anterograde control of the other organelle. Tight coordination of gene expression between the nucleus and genome-containing organelles (mitochondria and chloroplasts), and between organelles themselves, is essential to the survival of a eukaryotic cell. This article reviews our current understanding of the mechanisms behind this multidirectional signalling. Following the acquisition of chloroplasts and mitochondria by eukaryotic cells during endosymbiotic evolution, most of the genes in these organelles were either lost or transferred to the nucleus. Encoding organelle-destined proteins in the nucleus allows for host control of the organelle. In return, organelles send signals to the nucleus to coordinate nuclear and organellar activities. In photosynthetic eukaryotes, additional interactions exist between mitochondria and chloroplasts. Here we review recent advances in elucidating the intracellular signalling pathways that coordinate gene expression between organelles and the nucleus, with a focus on photosynthetic plants.

Background The basic helix-loop-helix transcription factors play important roles in diverse cellular and molecular processes. Comparative functional genomics can provide powerful approaches to draw inferences about gene function and evolution among species. The comprehensive comparison of bHLH gene family in different gramineous plants has not yet been reported. Results In this study, a total of 183, 231 and 571 bHLH s were identified in rice, maize and wheat genomes respectively, and 1154 bHLH genes from the three species and Arabidopsis were classified into 36 subfamilies. Of the identified genes, 110 OsbHLH s, 188 ZmbHLH s and 209 TabHLH s with relatively high mRNA abundances were detected in one or more tissues during development, and some of them exhibited tissue-specific expression such as TabHLH454–459 , ZmbHLH099–101 and OsbHLH037 in root, TabHLH559–562 , −  046 , −  047 and ZmbHLH010 , −  072 , −  226 in leaf, TabHLH216–221 , −  333 , −  335 , −  340 and OsbHLH005 , −  141 in inflorescence, TabHLH081 , ZmbHLH139 and OsbHLH144 in seed. Forty five, twenty nine and thirty one differentially expressed bHLH s were respectively detected in wheat, maize and rice under drought stresses using RNA-seq technology. Among them, the expressions of TabHLH046 , −  047 , ZmbHLH097 , −  098 , OsbHLH006 and −  185 were strongly induced, whereas TabHLH303 , −  562 , ZmbHLH155 , −  154 , OsbHLH152 and −  113 showed significant down-regulation. Twenty two TabHLH s were induced after stripe rust infection at 24 h and nine of them were suppressed at 72 hpi, whereas 28 and 6 TabHLH s exhibited obviously down- and up-regulation after powdery mildew attack respectively. Forty one ZmbHLH s were differentially expressed in response to F. verticillioides infection. Twenty two co-expression modules were identified by the WGCNA, some of which were associated with particular tissue types. And GO enrichment analysis for the modules showed that some TabHLH s were involved in the control of several biological processes, such as tapetal PCD, lipid metabolism, iron absorption, stress responses and signal regulation. Conclusion The present study identifies the bHLH family in rice, maize and wheat genomes, and detailedly discusses the evolutionary relationships, expression and function of bHLH s. This study provides some novel and detail information about bHLHs, and may facilitate understanding the molecular basis of the plant growth, development and stress physiology.

Natural rubber is a kind of indispensable biopolymers with great use and strategic importance in human society. However, its production relies almost exclusively on rubber-producing plants Hevea brasiliensis, which have high requirements for growth conditions, and the mechanism of natural rubber biosynthesis remains largely unknown. In the past two decades, details of the rubber chain polymerization and proteins involved in natural rubber biosynthesis have been investigated intensively. Meanwhile, omics and other advanced biotechnologies bring new insight into rubber production and development of new rubber-producing plants. This review summarizes the achievements of the past two decades in understanding the biosynthesis of natural rubber, especially the massive information obtained from the omics analyses. Possibilities of natural rubber biosynthesis in vitro or in genetically engineered microorganisms are also discussed.

Many phylogenomic studies based on transcriptomes have been limited to “single-copy” genes due to methodological challenges in homology and orthology inferences. Only a relatively small number of studies have explored analyses beyond reconstructing species relationships. We sampled 69 transcriptomes in the hyperdiverse plant clade Caryophyllales and 27 outgroups from annotated genomes across eudicots. Using a combined similarity- and phylogenetic tree-based approach, we recovered 10,960 homolog groups, where each was represented by at least eight ingroup taxa. By decomposing these homolog trees, and taking gene duplications into account, we obtained 17,273 ortholog groups, where each was represented by at least ten ingroup taxa. We reconstructed the species phylogeny using a 1,122-gene data set with a gene occupancy of 92.1%. From the homolog trees, we found that both synonymous and nonsynonymous substitution rates in herbaceous lineages are up to three times as fast as in their woody relatives. This is the first time such a pattern has been shown across thousands of nuclear genes with dense taxon sampling. We also pinpointed regions of the Caryophyllales tree that were characterized by relatively high frequencies of gene duplication, including three previously unrecognized whole-genome duplications. By further combining information from homolog tree topology and synonymous distance between paralog pairs, phylogenetic locations for 13 putative genome duplication events were identified. Genes that experienced the greatest gene family expansion were concentrated among those involved in signal transduction and oxidoreduction, including a cytochrome P450 gene that encodes a key enzyme in the betalain synthesis pathway. Our approach demonstrates a new approach for functional phylogenomic analysis in nonmodel species that is based on homolog groups in addition to inferred ortholog groups.

Accurate annotation of plant genomes remains complex due to the presence of many pseudogenes arising from whole-genome duplication-generated redundancy or the capture and movement of gene fragments by transposable elements. Machine learning on genome-wide epigenetic marks, informed by transcriptomic and proteomic training data, could be used to improve annotations through classification of all putative protein-coding genes as either constitutively silent or able to be expressed. Expressed genes were subclassified as able to express both mRNAs and proteins or only RNAs, and CG gene body methylation was associated only with the former subclass. More than 60,000 protein-coding genes have been annotated in the reference genome of maize inbred B73. About two-thirds of these genes are transcribed and are designated the filtered gene set (FGS). Classification of genes by our trained random forest algorithm was accurate and relied only on histone modifications or DNA methylation patterns within the gene body; promoter methylation was unimportant. Other inbred lines are known to transcribe significantly different sets of genes, indicating that the FGS is specific to B73. We accurately classified the sets of transcribed genes in additional inbred lines, arising from inbred-specific DNA methylation patterns. This approach highlights the potential of using chromatin information to improve annotations of functional genes.