Citrus is a large genus that includes several major cultivated species, including C. sinensis (sweet orange), Citrus reticulata (tangerine and mandarin), Citrus limon (lemon), Citrus grandis (pummelo) and Citrus paradisi (grapefruit). In 2009, the global citrus acreage was 9 million hectares and citrus production was 122.3 million tons (FAO statistics, see URLs), which is the top ranked among all the fruit crops. Among the 10.9 million tons (valued at $9.3 billion) of citrus products traded in 2009, sweet orange accounted for approximately 60% of citrus production for both fresh fruit and processed juice consumption (FAO statistics, see URLs). Moreover, citrus fruits and juice are the prime human source of vitamin C, an important component of human nutrition.Citrus fruits also have some unique botanical features, such as nucellar embryony (nucellus cells can develop into apomictic embryos that are genetically identical to mother plant). Consequently, somatic embryos grow much more vigorously than the zygotic embryos in seeds such that seedlings are essentially clones of the maternal parent. Such citrus-unique characteristics have hindered the study of citrus genetics and breeding improvement 1,2 . Complete genome sequences would provide valuable genetic resources for improving citrus crops.Citrus is believed to be native to southeast Asia 3-5 , and cultivation of fruit crops occurred at least 4,000 years ago 3,6 . The genetic origin of the sweet orange is not clear, although there are some speculations that sweet orange might be derived from interspecific hybridization of some primitive citrus species 7,8 . Citrus is also in the order Sapindales, a sister order to the Brassicales in the Malvidae, making it valuable for comparative genomics studies with the model plant Arabidopsis.We aimed to sequence the genome of Valencia sweet orange (C. sinensis cv. Valencia), one of the most important sweet orange varieties cultivated worldwide and grown primarily for orange juice production. Normal sweet oranges are diploids, with nine pairs of chromosomes and an estimated genome size of ~367 Mb 9 . To reduce the complexity of the sequenced genome, we obtained a doublehaploid (dihaploid) line derived from the anther culture of Valencia sweet orange 10 . We first generated whole-genome shotgun pairedend-tag sequence reads from the dihaploid genomic DNA and built a de novo assembly as the citrus reference genome; we then produced shotgun sequencing reads from the parental diploid DNA and mapped the sequences to the haploid reference genome to obtain the complete genome information for Valencia sweet orange. In addition, we conducted comprehensive transcriptome sequencing analyses for four representative tissues using shotgun RNA sequencing (RNA-Seq) to capture all transcribed sequences and paired-end-tag RNA sequencing (RNA-PET) to demarcate the 5′ and 3′ ends of all transcripts. On the basis of the DNA and RNA sequencing data, we characterized the orange genome for its gene content, heterozygosity and evolutionary features. ...

About 8,000 years ago in the Fertile Crescent, a spontaneous hybridization of the wild diploid grass Aegilops tauschii (2n 5 14; DD) with the cultivated tetraploid wheat Triticum turgidum (2n 5 4x 5 28; AABB) resulted in hexaploid wheat (T. aestivum; 2n 5 6x 5 42; AABBDD) 1,2 . Wheat has since become a primary staple crop worldwide as a result of its enhanced adaptability to a wide range of climates and improved grain quality for the production of baker's flour 2 . Here we describe sequencing the Ae. tauschii genome and obtaining a roughly 90-fold depth of short reads from libraries with various insert sizes, to gain a better understanding of this genetically complex plant. The assembled scaffolds represented 83.4% of the genome, of which 65.9% comprised transposable elements. We generated comprehensive RNA-Seq data and used it to identify 43,150 protein-coding genes, of which 30,697 (71.1%) were uniquely anchored to chromosomes with an integrated high-density genetic map. Whole-genome analysis revealed gene family expansion in Ae. tauschii of agronomically relevant gene families that were associated with disease resistance, abiotic stress tolerance and grain quality. This draft genome sequence provides insight into the environmental adaptation of bread wheat and can aid in defining the large and complicated genomes of wheat species.We selected Ae. tauschii accession AL8/78 for genome sequencing because it has been extensively characterized genetically (Supplementary Information). Using a whole genome shotgun strategy, we generated 398 Gb of high-quality reads from 45 libraries with insert sizes ranging from 200 bp to 20 kb (Supplementary Information). A hierarchical, iterative assembly of short reads employing the parallelized sequence assembler SOAPdenovo 3 achieved contigs with an N50 length (minimum length of contigs representing 50% of the assembly) of 4,512 bp (Table 1). Paired-end information combined with an additional 18.4 Gb of Roche/454 long-read sequences was used sequentially to generate 4.23-Gb scaffolds (83.4% were non-gapped contiguous sequences) with an N50 length of 57.6 kb (Supplementary Information). The assembly represented 97% of the 4.36-Gb genome as estimated by K-mer analysis (Supplementary Information). We also obtained 13,185 Ae. tauschii expressed sequence tag (EST) sequences using Sanger sequencing, of which 11,998 (91%) could be mapped to the scaffolds with more than 90% coverage (Supplementary Information).To aid in gene identification, we performed RNA-Seq (53.2 Gb for a 117-Mb transcriptome assembly) on 23 libraries representing eight tissues including pistil, root, seed, spike, stamen, stem, leaf and sheath (Supplementary Information). Using both evidence-based and de novo gene predictions, we identified 34,498 high-confidence protein-coding loci. FGENESH 4 and GeneID models were supported by a 60% overlap with either our ESTs and RNA-Seq reads, or with homologous proteins. More than 76% of the gene models had a significant match (E value # 10 25; alignment length $ 60%) in the ...

Watermelon, Citrullus lanatus, is an important cucurbit crop grown throughout the world. Here we report a high-quality draft genome sequence of the east Asia watermelon cultivar 97103 (2n = 2x = 22) containing 23,440 predicted protein-coding genes. Comparative genomics analysis provided an evolutionary scenario for the origin of the 11 watermelon chromosomes derived from a 7-chromosome paleohexaploid eudicot ancestor. Resequencing of 20 watermelon accessions representing three different C. lanatus subspecies produced numerous haplotypes and identified the extent of genetic diversity and population structure of watermelon germplasm. Genomic regions that were preferentially selected during domestication were identified. Many disease-resistance genes were also found to be lost during domestication. In addition, integrative genomic and transcriptomic analyses yielded important insights into aspects of phloem-based vascular signaling in common between watermelon and cucumber and identified genes crucial to valuable fruit-quality traits, including sugar accumulation and citrulline metabolism

Summary The CRISPR/Cas9 system has recently emerged as a powerful tool for functional genomic studies in Drosophila melanogaster. However, sgRNA parameters affecting the specificity and efficiency of the system in flies are still not clear. Here, we found that off-target effects did not occur in regions of genomic DNA with three or more nucleotide mismatches to sgRNAs. Importantly, we document for the first time a strong positive correlation between mutagenesis efficiency and sgRNA GC content of the six protospacer adjacent motif-proximal nucleotides (PAMPNs). Furthermore, by injecting well-designed sgRNA plasmids at the optimal concentration we determined, we could efficiently generate mutations in four genes in one step. Finally, we generated null alleles of HP1a using optimized parameters through homology-directed repair, and achieved an overall mutagenesis rate significantly higher than previously reported. Our work presents the most comprehensive optimization of sgRNA and promises to vastly simplify CRISPR/Cas9 experiments in Drosophila.

Miniature inverted–repeat transposable elements (MITEs) are predicted to play important roles on genome evolution. We developed a BLASTN-based approach for de novo identification of MITEs and systematically analyzed MITEs in rice genome. The genome of rice cultivar Nipponbare (Oryza sativa ssp. japonica) harbors 178,533 MITE-related sequences classified into 338 families. Pairwise nucleotide diversity and phylogenetic tree analysis indicated that individual MITE families were resulted from one or multiple rounds of amplification bursts. The timing of amplification burst varied considerably between different MITE families or subfamilies. MITEs are associated with 23,623 (58.2%) genes in rice genome. At least 7,887 MITEs are transcribed and more than 3,463 were transcribed with rice genes. The MITE sequences transcribed with rice coding genes form 1,130 pairs of potential natural sense/antisense transcripts. MITEs generate 23.5% (183,837 of 781,885) of all small RNAs identified from rice. Some MITE families generated small RNAs mainly from the terminals, while other families generated small RNAs predominantly from the central region. More than half (51.8%) of the MITE-derived small RNAs were generated exclusively by MITEs located away from genes. Genome-wide analysis showed that genes associated with MITEs have significantly lower expression than genes away from MITEs. Approximately 14.8% of loci with full-length MITEs have presence/absence polymorphism between rice cultivars 93-11 (O. sativa ssp. indica) and Nipponbare. Considering that different sets of genes may be regulated by MITE-derived small RNAs in different genotypes, MITEs provide considerable diversity for O. sativa.