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April 21, 2020  |  

Genome-Scale Sequence Disruption Following Biolistic Transformation in Rice and Maize.

Biolistic transformation delivers nucleic acids into plant cells by bombarding the cells with microprojectiles, which are micron-scale, typically gold particles. Despite the wide use of this technique, little is known about its effect on the cell’s genome. We biolistically transformed linear 48-kb phage lambda and two different circular plasmids into rice (Oryza sativa) and maize (Zea mays) and analyzed the results by whole genome sequencing and optical mapping. Although some transgenic events showed simple insertions, others showed extreme genome damage in the form of chromosome truncations, large deletions, partial trisomy, and evidence of chromothripsis and breakage-fusion bridge cycling. Several transgenic events contained megabase-scale arrays of introduced DNA mixed with genomic fragments assembled by nonhomologous or microhomology-mediated joining. Damaged regions of the genome, assayed by the presence of small fragments displaced elsewhere, were often repaired without a trace, presumably by homology-dependent repair (HDR). The results suggest a model whereby successful biolistic transformation relies on a combination of end joining to insert foreign DNA and HDR to repair collateral damage caused by the microprojectiles. The differing levels of genome damage observed among transgenic events may reflect the stage of the cell cycle and the availability of templates for HDR. © 2019 American Society of Plant Biologists. All rights reserved.

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April 21, 2020  |  

PacBio full-length cDNA sequencing integrated with RNA-seq reads drastically improves the discovery of splicing transcripts in rice.

In eukaryotes, alternative splicing (AS) greatly expands the diversity of transcripts. However, it is challenging to accurately determine full-length splicing isoforms. Recently, more studies have taken advantage of Pacific Bioscience (PacBio) long-read sequencing to identify full-length transcripts. Nevertheless, the high error rate of PacBio reads seriously offsets the advantages of long reads, especially for accurately identifying splicing junctions. To best capitalize on the features of long reads, we used Illumina RNA-seq reads to improve PacBio circular consensus sequence (CCS) quality and to validate splicing patterns in the rice transcriptome. We evaluated the impact of CCS accuracy on the number and the validation rate of splicing isoforms, and integrated a comprehensive pipeline of splicing transcripts analysis by Iso-Seq and RNA-seq (STAIR) to identify the full-length multi-exon isoforms in rice seedling transcriptome (Oryza sativa L. ssp. japonica). STAIR discovered 11 733 full-length multi-exon isoforms, 6599 more than the SMRT Portal RS_IsoSeq pipeline did. Of these splicing isoforms identified, 4453 (37.9%) were missed in assembled transcripts from RNA-seq reads, and 5204 (44.4%), including 268 multi-exon long non-coding RNAs (lncRNAs), were not reported in the MSU_osa1r7 annotation. Some randomly selected unreported splicing junctions were verified by polymerase chain reaction (PCR) amplification. In addition, we investigated alternative polyadenylation (APA) events in transcripts and identified 829 major polyadenylation [poly(A)] site clusters (PACs). The analysis of splicing isoforms and APA events will facilitate the annotation of the rice genome and studies on the expression and polyadenylation of AS genes in different developmental stages or growth conditions of rice. © 2018 The Authors The Plant Journal © 2018 John Wiley & Sons Ltd.

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April 21, 2020  |  

Midrib Sucrose Accumulation and Sugar Transporter Gene Expression in YCS-Affected Sugarcane Leaves

Sucrose accumulation and decreased photosynthesis are early symptoms of yellow canopy syndrome (YCS) in sugarcane (Saccharum spp.), and precede the visual yellowing of the leaves. To investigate broad-scale gene expression changes during YCS-onset, transcriptome analyses coupled to metabolome analyses were performed. Across leaf tissues, the greatest number of differentially expressed genes related to the chloroplast, and the metabolic processes relating to nitrogen and carbohydrates. Five genes represented 90% of the TPM (Transcripts Per Million) associated with the downregulation of transcription during YCS-onset, which included PSII D1 (PsbA). This differential expression was consistent with a feedback regulatory effect upon photosynthesis. Broad-scale gene expression analyses did not reveal a cause for leaf sugar accumulation during YCS-onset. Interestingly, the midrib showed the greatest accumulation of sugars, followed by symptomatic lamina. To investigate if phloem loading/reloading may be compromised on a gene expression level – to lead to leaf sucrose accumulation – sucrose transport-related proteins of SWEETs, Sucrose Transporters (SUTs), H+-ATPases and H+-pyrophosphatases (H+-PPases) were characterised from a sugarcane transcriptome and expression analysed. Two clusters of Type I H+-PPases, with one upregulated and the other downregulated, were evident. Although less pronounced, a similar pattern of change was observed for the H+-ATPases. The disaccharide transporting SWEETs were downregulated after visual symptoms were present, and a monosaccharide transporting SWEET upregulated preceding, as well as after, symptom development. SUT gene expression was the least responsive to YCS development. The results are consistent with a reduction of photoassimilate movement through the phloem leading to sucrose build-up in the leaf.

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April 21, 2020  |  

Liriodendron genome sheds light on angiosperm phylogeny and species-pair differentiation.

The genus Liriodendron belongs to the family Magnoliaceae, which resides within the magnoliids, an early diverging lineage of the Mesangiospermae. However, the phylogenetic relationship of magnoliids with eudicots and monocots has not been conclusively resolved and thus remains to be determined1-6. Liriodendron is a relict lineage from the Tertiary with two distinct species-one East Asian (L. chinense (Hemsley) Sargent) and one eastern North American (L. tulipifera Linn)-identified as a vicariad species pair. However, the genetic divergence and evolutionary trajectories of these species remain to be elucidated at the whole-genome level7. Here, we report the first de novo genome assembly of a plant in the Magnoliaceae, L. chinense. Phylogenetic analyses suggest that magnoliids are sister to the clade consisting of eudicots and monocots, with rapid diversification occurring in the common ancestor of these three lineages. Analyses of population genetic structure indicate that L. chinense has diverged into two lineages-the eastern and western groups-in China. While L. tulipifera in North America is genetically positioned between the two L. chinense groups, it is closer to the eastern group. This result is consistent with phenotypic observations that suggest that the eastern and western groups of China may have diverged long ago, possibly before the intercontinental differentiation between L. chinense and L. tulipifera. Genetic diversity analyses show that L. chinense has tenfold higher genetic diversity than L. tulipifera, suggesting that the complicated regions comprising east-west-orientated mountains and the Yangtze river basin (especially near 30°?N latitude) in East Asia offered more successful refugia than the south-north-orientated mountain valleys in eastern North America during the Quaternary glacial period.

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April 21, 2020  |  

Computational aspects underlying genome to phenome analysis in plants.

Recent advances in genomics technologies have greatly accelerated the progress in both fundamental plant science and applied breeding research. Concurrently, high-throughput plant phenotyping is becoming widely adopted in the plant community, promising to alleviate the phenotypic bottleneck. While these technological breakthroughs are significantly accelerating quantitative trait locus (QTL) and causal gene identification, challenges to enable even more sophisticated analyses remain. In particular, care needs to be taken to standardize, describe and conduct experiments robustly while relying on plant physiology expertise. In this article, we review the state of the art regarding genome assembly and the future potential of pangenomics in plant research. We also describe the necessity of standardizing and describing phenotypic studies using the Minimum Information About a Plant Phenotyping Experiment (MIAPPE) standard to enable the reuse and integration of phenotypic data. In addition, we show how deep phenotypic data might yield novel trait-trait correlations and review how to link phenotypic data to genomic data. Finally, we provide perspectives on the golden future of machine learning and their potential in linking phenotypes to genomic features. © 2018 The Authors The Plant Journal published by John Wiley & Sons Ltd and Society for Experimental Biology.

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April 21, 2020  |  

The role of genomic structural variation in the genetic improvement of polyploid crops

Many of our major crop species are polyploids, containing more than one genome or set of chromosomes. Polyploid crops present unique challenges, including difficulties in genome assembly, in discriminating between multiple gene and sequence copies, and in genetic mapping, hindering use of genomic data for genetics and breeding. Polyploid genomes may also be more prone to containing structural variation, such as loss of gene copies or sequences (presence–absence variation) and the presence of genes or sequences in multiple copies (copy-number variation). Although the two main types of genomic structural variation commonly identified are presence–absence variation and copy-number variation, we propose that homeologous exchanges constitute a third major form of genomic structural variation in polyploids. Homeologous exchanges involve the replacement of one genomic segment by a similar copy from another genome or ancestrally duplicated region, and are known to be extremely common in polyploids. Detecting all kinds of genomic structural variation is challenging, but recent advances such as optical mapping and long-read sequencing offer potential strategies to help identify structural variants even in complex polyploid genomes. All three major types of genomic structural variation (presence–absence, copy-number, and homeologous exchange) are now known to influence phenotypes in crop plants, with examples of flowering time, frost tolerance, and adaptive and agronomic traits. In this review, we summarize the challenges of genome analysis in polyploid crops, describe the various types of genomic structural variation and the genomics technologies and data that can be used to detect them, and collate information produced to date related to the impact of genomic structural variation on crop phenotypes. We highlight the importance of genomic structural variation for the future genetic improvement of polyploid crops.

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April 21, 2020  |  

Effect of sulfur-iron modified biochar on the available cadmium and bacterial community structure in contaminated soils.

Cadmium contamination in paddy soils has aroused increasing concern around the world, and biochar has many positive properties, such as large specific surface areas, micro porous structure for the heavy metal immobilization in soils. However there are few studies on sulfur-iron modified biochar as well as its microbiology effects. The purpose of this study was to evaluate the Cd immobilization effects of sulfur or sulfur-iron modified biochar and its related microbial community changes in Cd-contaminated soils. SEM-EDX analysis confirmed that sulfur and iron were loaded on the raw biochar successfully. Sulfur-modified biochar (S-BC) and sulfur-iron modified biochar (SF-BC) addition increased pH value and the content of soil organic matter, and also decreased DTPA-extractable Cd. There was a negative significant correlation between organic matter content and the available Cd (P?

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April 21, 2020  |  

Blast Fungal Genomes Show Frequent Chromosomal Changes, Gene Gains and Losses, and Effector Gene Turnover.

Pyricularia is a fungal genus comprising several pathogenic species causing the blast disease in monocots. Pyricularia oryzae, the best-known species, infects rice, wheat, finger millet, and other crops. As past comparative and population genomics studies mainly focused on isolates of P. oryzae, the genomes of the other Pyricularia species have not been well explored. In this study, we obtained a chromosomal-level genome assembly of the finger millet isolate P. oryzae MZ5-1-6 and also highly contiguous assemblies of Pyricularia sp. LS, P. grisea, and P. pennisetigena. The differences in the genomic content of repetitive DNA sequences could largely explain the variation in genome size among these new genomes. Moreover, we found extensive gene gains and losses and structural changes among Pyricularia genomes, including a large interchromosomal translocation. We searched for homologs of known blast effectors across fungal taxa and found that most avirulence effectors are specific to Pyricularia, whereas many other effectors share homologs with distant fungal taxa. In particular, we discovered a novel effector family with metalloprotease activity, distinct from the well-known AVR-Pita family. We predicted 751 gene families containing putative effectors in 7 Pyricularia genomes and found that 60 of them showed differential expression in the P. oryzae MZ5-1-6 transcriptomes obtained under experimental conditions mimicking the pathogen infection process. In summary, this study increased our understanding of the structural, functional, and evolutionary genomics of the blast pathogen and identified new potential effector genes, providing useful data for developing crops with durable resistance. © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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April 21, 2020  |  

Genome assembly of a tropical maize inbred line provides insights into structural variation and crop improvement.

Maize is one of the most important crops globally, and it shows remarkable genetic diversity. Knowledge of this diversity could help in crop improvement; however, gold-standard genomes have been elucidated only for modern temperate varieties. Here, we present a high-quality reference genome (contig N50 of 15.78?megabases) of the maize small-kernel inbred line, which is derived from a tropical landrace. Using haplotype maps derived from B73, Mo17 and SK, we identified 80,614 polymorphic structural variants across 521 diverse lines. Approximately 22% of these variants could not be detected by traditional single-nucleotide-polymorphism-based approaches, and some of them could affect gene expression and trait performance. To illustrate the utility of the diverse SK line, we used it to perform map-based cloning of a major effect quantitative trait locus controlling kernel weight-a key trait selected during maize improvement. The underlying candidate gene ZmBARELY ANY MERISTEM1d provides a target for increasing crop yields.

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April 21, 2020  |  

Transcriptome analysis reveals multiple signal network contributing to the Verticillium wilt resistance in eggplant

Verticillium wilt is a devastating disease in eggplants. In order to understand the molecular mechanism of disease resistance in eggplants, transcriptomes of Verticillium wilt infected eggplants were detected. A total of 480, 518, 887 and 1 046 Verticillium wilt related differentially expressed genes were identified at 6 (V6), 12 (V12), 24 (V24) and 48?h (V48), respectively. COG function classification revealed that most of DEGs functioned in “Amino acid transport and metabolism”, “Cytoskeleton” and “Cell motility”. In addition, compared the control plants (V0) to infected eggplants (V6-V48), a total of 111 common DEGs were identified. Except for “General function prediction only”, most of the DEGs enriched in “Signal transduction”. DEGs associated to different hormone signals, including GID1B, ROPGAP1, OPT3 and CDPK, were identified throughout the whole infection process. Cross-talk among defense signal pathways plays major roles in the Verticillium wilt disease resistance in eggplants.

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April 21, 2020  |  

Genome analysis and genetic transformation of a water surface-floating microalga Chlorococcum sp. FFG039.

Microalgal harvesting and dewatering are the main bottlenecks that need to be overcome to tap the potential of microalgae for production of valuable compounds. Water surface-floating microalgae form robust biofilms, float on the water surface along with gas bubbles entrapped under the biofilms, and have great potential to overcome these bottlenecks. However, little is known about the molecular mechanisms involved in the water surface-floating phenotype. In the present study, we analysed the genome sequence of a water surface-floating microalga Chlorococcum sp. FFG039, with a next generation sequencing technique to elucidate the underlying mechanisms. Comparative genomics study with Chlorococcum sp. FFG039 and other non-floating green microalgae revealed some of the unique gene families belonging to this floating microalga, which may be involved in biofilm formation. Furthermore, genetic transformation of this microalga was achieved with an electroporation method. The genome information and transformation techniques presented in this study will be useful to obtain molecular insights into the water surface-floating phenotype of Chlorococcum sp. FFG039.

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April 21, 2020  |  

Extensive intraspecific gene order and gene structural variations in upland cotton cultivars.

Multiple cotton genomes (diploid and tetraploid) have been assembled. However, genomic variations between cultivars of allotetraploid upland cotton (Gossypium hirsutum L.), the most widely planted cotton species in the world, remain unexplored. Here, we use single-molecule long read and Hi-C sequencing technologies to assemble genomes of the two upland cotton cultivars TM-1 and zhongmiansuo24 (ZM24). Comparisons among TM-1 and ZM24 assemblies and the genomes of the diploid ancestors reveal a large amount of genetic variations. Among them, the top three longest structural variations are located on chromosome A08 of the tetraploid upland cotton, which account for ~30% total length of this chromosome. Haplotype analyses of the mapping population derived from these two cultivars and the germplasm panel show suppressed recombination rates in this region. This study provides additional genomic resources for the community, and the identified genetic variations, especially the reduced meiotic recombination on chromosome A08, will help future breeding.

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April 21, 2020  |  

Comprehensive identification of the full-length transcripts and alternative splicing related to the secondary metabolism pathways in the tea plant (Camellia sinensis).

Flavonoids, theanine and caffeine are the main secondary metabolites of the tea plant (Camellia sinensis), which account for the tea’s unique flavor quality and health benefits. The biosynthesis pathways of these metabolites have been extensively studied at the transcriptional level, but the regulatory mechanisms are still unclear. In this study, to explore the transcriptome diversity and complexity of tea plant, PacBio Iso-Seq and RNA-seq analysis were combined to obtain full-length transcripts and to profile the changes in gene expression during the leaf development. A total of 1,388,066 reads of insert (ROI) were generated with an average length of 1,762?bp, and more than 54% (755,716) of the ROIs were full-length non-chimeric (FLNC) reads. The Benchmarking Universal Single-Copy Orthologue (BUSCO) completeness was 92.7%. A total of 93,883 non-redundant transcripts were obtained, and 87,395 (93.1%) were new alternatively spliced isoforms. Meanwhile, 7,650 differential expression transcripts (DETs) were identified. A total of 28,980 alternative splicing (AS) events were predicted, including 1,297 differential AS (DAS) events. The transcript isoforms of the key genes involved in the flavonoid, theanine and caffeine biosynthesis pathways were characterized. Additionally, 5,777 fusion transcripts and 9,052 long non-coding RNAs (lncRNAs) were also predicted. Our results revealed that AS potentially plays a crucial role in the regulation of the secondary metabolism of the tea plant. These findings enhanced our understanding of the complexity of the secondary metabolic regulation of tea plants and provided a basis for the subsequent exploration of the regulatory mechanisms of flavonoid, theanine and caffeine biosynthesis in tea plants.

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April 21, 2020  |  

Genome analysis of the rice coral Montipora capitata.

Corals comprise a biomineralizing cnidarian, dinoflagellate algal symbionts, and associated microbiome of prokaryotes and viruses. Ongoing efforts to conserve coral reefs by identifying the major stress response pathways and thereby laying the foundation to select resistant genotypes rely on a robust genomic foundation. Here we generated and analyzed a high quality long-read based ~886 Mbp nuclear genome assembly and transcriptome data from the dominant rice coral, Montipora capitata from Hawai’i. Our work provides insights into the architecture of coral genomes and shows how they differ in size and gene inventory, putatively due to population size variation. We describe a recent example of foreign gene acquisition via a bacterial gene transfer agent and illustrate the major pathways of stress response that can be used to predict regulatory components of the transcriptional networks in M. capitata. These genomic resources provide insights into the adaptive potential of these sessile, long-lived species in both natural and human influenced environments and facilitate functional and population genomic studies aimed at Hawaiian reef restoration and conservation.

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