ENCODE 3 (2012-2017) expanded production and added new types of assays 8 (Fig. 1, Extended Data Fig. 1), which revealed landscapes of RNA binding and the 3D organization of chromatin via methods such as chromatin interaction analysis by paired-end tagging (ChIA-PET) and Hi-C chromosome conformation capture. Phases 2 and 3 delivered 9,239 experiments (7,495 in human and 1,744 in mouse) in more than 500 cell types and tissues, including mapping of transcribed regions and transcript isoforms, regions of transcripts recognized by RNA-binding proteins, transcription factor binding regions, and regions that harbour specific histone modifications, open chromatin, and 3D chromatin interactions. The results of all of these experiments are available at the ENCODE portal (http://www.encodeproject.org). These efforts, combined with those of related projects and many other laboratories, have produced a greatly enhanced view of the human genome (Fig. 2), identifying 20,225 protein-coding and 37,595 noncoding genes

Litchi downy blight, caused by Peronophythora litchii, is one of the major diseases of litchi and has caused severe economic losses. P. litchii has the unique ability to produce downy mildew like sporangiophores under artificial culture. The pathogen had been placed in a new family Peronophytophthoraceae by some authors. In this study, the whole transcriptome of P. litchii from mycelia, sporangia, and zoospores was sequenced for the first time. A set of 23637 transcripts with an average length of 1284 bp was assembled. Using six open reading frame (ORF) predictors, 19267 representative ORFs were identified and were annotated by searching against several public databases. There were 4666 conserved gene families and various sets of lineage-specific genes among P. litchii and other four closely related oomycetes. In silico analyses revealed 490 pathogen-related proteins including 128 RXLR and 22 CRN effector candidates. Based on the phylogenetic analysis of 164 single copy orthologs from 22 species, it is validated that P. litchii is in the genus Phytophthora. Our work provides valuable data to elucidate the pathogenicity basis and ascertain the taxonomic status of P. litchii.

Litchi downy blight, a destructive litchi disease caused by Peronophythora litchii , is controlled by intensive fungicide applying. Sources of resistance are used in conventional breeding approaches, but the mechanism is not well understood. Follow-up six years investigation, ‘Guiwei’ and ‘Heiye’ displayed stable susceptible and resistant against to P . litchii , respectively. After 72 hour inoculation, ‘Heiye’ showed few disease spots, while ‘Guiwei’ appeared brown and covered with white sporangia. Germination of sporangia and growth of mycelium in ‘Guiwei’ is more quickly than in ‘Heiye’. Transcript levels were measured at 6, 24, and 48 hour post-inoculation. ‘Oxidation-reduction process’ was dramatically enhanced in ‘Heiye’, which could promote its resistance to pathogen infection. A small ratio (3.78%) of common DEGs indicates that resistant and susceptible cultivars take different strategies to defense against P . litchii . At early infection stage, ‘Heiye’ induced a larger number of genes, including seven receptor-like kinases, which quickly recognized attack of pathogen and led to a rapidly resistance by regulation of degradation of proteasome, transcription factors, and cell wall remodeling. The early DGEs were exiguous in ‘Guiwei’, suggesting a weak response. Once the infection was successful, the resistance was repressed by down-regulated genes involved in phenylpropanoid metabolism, ET biosynthesis and signaling conduction in ‘Guiwei’. In conclusion, quickly recognition and early responses to pathogen, as well as minimal pathogen development and basal expression of resistance-related genes, were correlated with a high level of resistance in ‘Heiye’, while susceptible ‘Guiwei’ suffered massive infection due to lagging response and repressed signal transduction.

Summary Grain size and filling are two key determinants of grain thousand‐kernel weight (TKW) and crop yield, therefore they have undergone strong selection since cereal was domesticated. Genetic dissection of the two traits will improve yield potential in crops. A quantitative trait locus significantly associated with wheat grain TKW was detected on chromosome 7AS flanked by a simple sequence repeat marker of Wmc17 in Chinese wheat 262 mini‐core collection by genome‐wide association study. Combined with the bulked segregant RNA‐sequencing (BSR‐seq) analysis of an F2 genetic segregation population with extremely different TKW traits, a candidate trehalose‐6‐phosphate phosphatase gene located at 135.0 Mb (CS V1.0), designated as TaTPP‐7A, was identified. This gene was specifically expressed in developing grains and strongly influenced grain filling and size. Overexpression (OE) of TaTPP‐7A in wheat enhanced grain TKW and wheat yield greatly. Detailed analysis revealed that OE of TaTPP‐7A significantly increased the expression levels of starch synthesis‐ and senescence‐related genes involved in abscisic acid (ABA) and ethylene pathways. Moreover, most of the sucrose metabolism and starch regulation‐related genes were potentially regulated by SnRK1. In addition, TaTPP‐7A is a crucial domestication‐ and breeding‐targeted gene and it feedback regulates sucrose lysis, flux, and utilization in the grain endosperm mainly through the T6P‐SnRK1 pathway and sugar–ABA interaction. Thus, we confirmed the T6P signalling pathway as the central regulatory system for sucrose allocation and source–sink interactions in wheat grains and propose that the trehalose pathway components have great potential to increase yields in cereal crops.

The herbaceous peony (Paeonia lactiflora Pall.) is a perennial flowering plant of the Paeoniaceae species that is widely cultivated for medical and ornamental uses. The monoterpene glucoside paeoniflorin and its derivatives are the active compounds of the P. lactiflora roots. However, the gene regulation pathways associated with monoterpene and paeoniflorin biosynthesis in P. lactiflora are still unclear. Here, we selected three genotypes of P. lactiflora with distinct morphologic features and chemical compositions that were a result of long-term reproductive isolation. We performed an RNA-sequencing experiment to profile the transcriptome changes of the shoots and roots. Using de novo assembly analysis, we identified 36,264 unigenes, including 521 genes responsible for encoding transcription factors. We also identified 28,925 unigenes that were differentially expressed in different organs and/or genotypes. Pathway enrichment analysis showed that the P. lactiflora unigenes were significantly overrepresented in several secondary metabolite biosynthesis pathways. We identified and profiled 33 genes responsible for encoding the enzymescontrolling the major catalytic reactions in the terpenoid backbone and in monoterpenoid biosynthesis. Our study identified the candidate genes in the terpenoid biosynthesis pathways, providing useful information for metabolic engineering of P. lactiflora intended for pharmaceutical uses and facilitating the development of strategies to improve marker-assist P. lactiflora in the future.

The herbal orchid Bletilla striata (Thunb.) Rchb.f. has a long cultivation history and has been widely used in medicines and cosmetics. The fungal infection leaf blight (LB) seriously threatens B. striata cultivation. Here, we systemically collected wild B. striata accessions and isolated the accessions with strong resistance against LB. We carried out proteomic profiling analysis of LB-resistant and LB-susceptible accessions, and identified a large number of differentially expressed proteins with significant gene ontology enrichment for ‘oxidoreductase activity.’ Of the proteins identified in the reactive oxygen species signalling pathway, the protein abundance of the Cu–Zn superoxide dismutase BsSOD1 and its gene expression level were higher in LB-resistant accessions than in LB-susceptible lines. Transient expression of the dismutase fused with yellow fluorescent protein determined that its subcellular localisation is in the cytoplasm. Our study provides new insights into the molecular markers associated with fungal infection in B. striata.

MALDI IMS datasets comprise huge amounts of spectra and their interpretation requires the use of multivariate statistical methods. MALDI IMS spectral data have been processed using sequential principal component analysis and 2-D peak distribution tests so as to investigate the molecular differentiation of tumor regions in formalin-fixed paraffin-embedded tissue biopsies of colorectal adenocarcinoma. In some of the cases fresh frozen tissue section samples were also analyzed for comparison. Multivariate analysis of spectral data revealed a specific pattern of mass ion peaks in different tumor regions that were distinguishable from the adjacent normal regions within a given specimen. Moreover, similar mass ion peaks could be detected in both FFPE and fresh-frozen tissue section samples. These significant mass ion peaks have been used to generate ion images and visualize the difference between tumor and normal regions. These specific and statistically significant ion peaks may serve as potential biomarkers for colorectal adenocarcinoma.

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