The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of population-based genetic studies. However, current tools suffered from the problem of time and memory consuming. Here, we developed LDBlockShow, an open source software, for visualizing LD and haplotype blocks from variant call format files. It is time and memory saving. In a test dataset with 100 SNPs from 60 000 subjects, it was at least 10.60 times faster and used only 0.03-13.33% of physical memory as compared with other tools. In addition, it could generate figures that simultaneously display additional statistical context (e.g. association P-values) and genomic region annotations. It can also compress the SVG files with a large number of SNPs and support subgroup analysis. This fast and convenient tool will facilitate the visualization of LD and haplotype blocks for geneticists.

/pdf/ldblockshow-a-fast-and-convenient-tool-for-visualizing-4s1bkqgbfo.pdf

LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files.

Cotton is not only the world's most important natural fiber crop, but it is also an ideal system in which to study genome evolution, polyploidization, and cell elongation. With the assembly of five different cotton genomes, a cotton-specific whole-genome duplication with an allopolyploidization process that combined the A- and D-genomes became evident. All existing A-genomes seemed to originate from the A0-genome as a common ancestor, and several transposable element bursts contributed to A-genome size expansion and speciation. The ethylene production pathway is shown to regulate fiber elongation. A tip-biased diffuse growth mode and several regulatory mechanisms, including plant hormones, transcription factors, and epigenetic modifications, are involved in fiber development. Finally, we describe the involvement of the gossypol biosynthetic pathway in the manipulation of herbivorous insects, the role of GoPGF in gland formation, and host-induced gene silencing for pest and disease control. These new genes, modules, and pathways will accelerate the genetic improvement of cotton.

Recent Advances and Future Perspectives in Cotton Research.

Twenty years of plant genome sequencing: achievements and challenges

Long-term climate change and periodic environmental extremes threaten food and fuel security1 and global crop productivity2-4. Although molecular and adaptive breeding strategies can buffer the effects of climatic stress and improve crop resilience5, these approaches require sufficient knowledge of the genes that underlie productivity and adaptation6-knowledge that has been limited to a small number of well-studied model systems. Here we present the assembly and annotation of the large and complex genome of the polyploid bioenergy crop switchgrass (Panicum virgatum). Analysis of biomass and survival among 732 resequenced genotypes, which were grown across 10 common gardens that span 1,800 km of latitude, jointly revealed extensive genomic evidence of climate adaptation. Climate-gene-biomass associations were abundant but varied considerably among deeply diverged gene pools. Furthermore, we found that gene flow accelerated climate adaptation during the postglacial colonization of northern habitats through introgression of alleles from a pre-adapted northern gene pool. The polyploid nature of switchgrass also enhanced adaptive potential through the fractionation of gene function, as there was an increased level of heritable genetic diversity on the nondominant subgenome. In addition to investigating patterns of climate adaptation, the genome resources and gene-trait associations developed here provide breeders with the necessary tools to increase switchgrass yield for the sustainable production of bioenergy.

/pdf/genomic-mechanisms-of-climate-adaptation-in-polyploid-2rlvbhkk34.pdf

Genomic mechanisms of climate adaptation in polyploid bioenergy switchgrass.

The development of multiple chromosome-scale reference genome sequences in many taxonomic groups has yielded a high-resolution view of the patterns and processes of molecular evolution. Nonetheless, leveraging information across multiple genomes remains a significant challenge in nearly all eukaryotic systems. These challenges range from studying the evolution of chromosome structure, to finding candidate genes for quantitative trait loci, to testing hypotheses about speciation and adaptation. Here, we present GENESPACE, which addresses these challenges by integrating conserved gene order and orthology to define the expected physical position of all genes across multiple genomes. We demonstrate this utility by dissecting presence-absence, copy-number, and structural variation at three levels of biological organization: spanning 300 million years of vertebrate sex chromosome evolution, across the diversity of the Poaceae (grass) plant family, and among 26 maize cultivars. The methods to build and visualize syntenic orthology in the GENESPACE R package offer a significant addition to existing gene family and synteny programs, especially in polyploid, outbred, and other complex genomes.The genome is the complete DNA sequence of an individual. It is a crucial foundation for many studies in medicine, agriculture, and conservation biology. Advances in genetics have made it possible to rapidly sequence, or read out, the genome of many organisms. For closely related species, scientists can then do detailed comparisons, revealing similar genes with a shared past or a common role, but comparing more distantly related organisms remains difficult. One major challenge is that genes are often lost or duplicated over evolutionary time. One way to be more confident is to look at ‘synteny’, or how genes are organized or ordered within the genome. In some groups of species, synteny persists across millions of years of evolution. Combining sequence similarity with gene order could make comparisons between distantly related species more robust. To do this, Lovell et al. developed GENESPACE, a software that links similarities between DNA sequences to the order of genes in a genome. This allows researchers to visualize and explore related DNA sequences and determine whether genes have been lost or duplicated. To demonstrate the value of GENESPACE, Lovell et al. explored evolution in vertebrates and flowering plants. The software was able to highlight the shared sequences between unique sex chromosomes in birds and mammals, and it was able to track the positions of genes important in the evolution of grass crops including maize, wheat, and rice. Exploring the genetic code in this way could lead to a better understanding of the evolution of important sections of the genome. It might also allow scientists to find target genes for applications like crop improvement. Lovell et al. have designed the GENESPACE software to be easy for other scientists to use, allowing them to make graphics and perform analyses with few programming skills. 

GENESPACE tracks regions of interest and gene copy number variation across multiple genomes

Polyploidy is an evolutionary innovation for many animals and all flowering plants, but its impact on selection and domestication remains elusive. Here we analyze genome evolution and diversification for all five allopolyploid cotton species, including economically important Upland and Pima cottons. Although these polyploid genomes are conserved in gene content and synteny, they have diversified by subgenomic transposon exchanges that equilibrate genome size, evolutionary rate heterogeneities and positive selection between homoeologs within and among lineages. These differential evolutionary trajectories are accompanied by gene-family diversification and homoeolog expression divergence among polyploid lineages. Selection and domestication drive parallel gene expression similarities in fibers of two cultivated cottons, involving coexpression networks and N6-methyladenosine RNA modifications. Furthermore, polyploidy induces recombination suppression, which correlates with altered epigenetic landscapes and can be overcome by wild introgression. These genomic insights will empower efforts to manipulate genetic recombination and modify epigenetic landscapes and target genes for crop improvement.

Genomic diversifications of five Gossypium allopolyploid species and their impact on cotton improvement.

The Gannan navel orange (Citrus sinensis Osbeck cv. Newhall) is one of the most widely planted citrus fruit cultivars in Ganzhou City, Jiangxi Province, China. A Gannan navel orange was harvested from an orchard in Yudu County, Ganzhou City, Jiangxi Province, China, in October 2022 (25.95N, 115.41E). Approximately 5% of the fruit rotted after being stored at room temperature for about two weeks.Infected fruits appear brown and rotted with slightly indented edges. Initially symptoms of infected fruits was small circular, light brown, which the rot expands, slightly water-stained halo circle with slightly indented edges. The surface of 10 infected fruits was sterilized with 75% ethanol, and the lesion edge was cut into 5-mm-diameter pieces, and the pieces were then placed on potato dextrose agar (PDA) and incubated at 25°C for five days. A total of eight morphologically similar isolates were obtained. PDA results showed dense white and fluffy aerial mycelia in the center of colonies with sparser edges. Two types of conidia were produced; the alpha conidia were hyaline, ellipsoidal or clavate, and aseptate, with 2 oil drops, 4.8 to 7.5 × 2.1 to 2.7 μm (n=30). The beta conidia were hyaline, aseptate, filiform, smooth, straight to sinuous, 16.9 to 27.5 × 1.3 to 1.6 μm (n=30). These isolates exhibit morphological characteristics similar to those of the Diaporthe genus. Genomic DNA of two representative isolates (JFRL-03-1130 and JFRL-03-1131) was extracted for further confirmation. The internal transcribed spacer (ITS) region, beta-tubulin (TUB), calmodulin (CAL), partial translation elongation factor 1-alpha (TEF1-α), and histone H3 (HIS3) genes were amplified and sequenced using primers ITS1/ITS4, Bt2a/Bt2b, CAL228F/CAL737R, EF1-728F/EF1-986R, and CYLH3F/H3-1b, respectively (Udayanga et al. 2015). These nucleotide sequences were deposited into the GenBank database with accession numbers OQ691637-OQ691638 (ITS), OQ701022-OQ701023 (TUB), OQ701016-OQ701017 (CAL), OQ701018-OQ701019 (TEF1-α) and OQ701020-OQ701021 (HIS3). The maximum likelihood analyses were performed for the combined ITS, TEF1-a, TUB, HIS3, and CAL data set using Phylosuite V1.2.2 (Zhang et al. 2020). The phylogenetic tree showed that the two isolates clustered with D. unshiuensis in a clade with 100% bootstrap support. Therefore, the fungus was identified as D. unshiuensis based on morphological and molecular characteristics. To evaluate pathogenicity, a sterile scalpel was used to wound 10 surface-sterilized fruits, and a 5-mm-diameter mycelial plug of the isolate JFRL 03-1130, cultured on PDA at 25℃ for 7-days, was put on the wound. Another set of 10 fruits was similarly inoculated with sterile agar plugs as controls. The fruits were cultured at 25°C and 85% relative humidity, and the test was repeated twice. These fruits inoculated with D. unshiuensis showed similar rot symptoms after 10 days, while the control group remained symptomless. In order to prove Koch's postulates, the pathogen was re-isolated from the inoculated fruits and confirmed as D. unshiuensis by molecular techniques, but never from the control fruits. Diaporthe unshiuensis has been reported as an endophyte associated with citrus and a pathogen that causes melanose disease in citrus (Chaisiri et al. 2020; Huang et al. 2015). However, to the best of our knowledge, this is the first reported case of D. unshiuensis causing postharvest fruit rot on Citrus sinensis. In the past, D. sojae has also been reported causing postharvest fruit brown rot disease on Citrus sinensis in China (Xiao, et al. 2023); Therefore, managers should pay more attention to postharvest fruit rot disease caused by Diaporthe species and implement storage strategies to control and reduce losses.

First Report of Postharvest Fruit Rot on Gannan Navel Orange Caused by Diaporthe unshiuensis in Jiangxi Province, China.

Genotype independent transformation and whole plant regeneration through somatic embryogenesis relies heavily on the intrinsic ability of a genotype to regenerate. The critical genetic architecture of non-embryogenic callus (NEC) cells and embryogenic callus (EC) cells in a highly regenerable cotton genotype is unknown. In this study, gene expression profiles of a highly regenerable Gossypium hirsutum L. cultivar, Jin668, were analyzed at two critical developmental stages during somatic embryogenesis, non-embryogenic callus (NEC) cells and embryogenic callus (EC) cells. The rate of EC formation in Jin668 is 96%. Differential gene expression analysis revealed a total of 5333 differentially expressed genes (DEG) with 2534 genes upregulated and 2799 genes downregulated in EC. A total of 144 genes were unique to NEC cells and 174 genes were unique to EC. Clustering and enrichment analysis identified genes upregulated in EC that function as transcription factors/DNA binding, phytohormone response, oxidative reduction, and regulators of transcription; while genes categorized in methylation pathways were downregulated. Four key transcription factors were identified based on their sharp upregulation in EC tissue; LEAFY COTYLEDON 1 (LEC1), BABY BOOM (BBM), FUSCA (FUS3) and AGAMOUS-LIKE15 with distinguishable subgenome expression bias. This comparative analysis of NEC and EC transcriptomes gives new insights into the genes involved in somatic embryogenesis in cotton.

/pdf/transcriptomic-profiles-of-non-embryogenic-and-embryogenic-1pl3hjxbaq.pdf

Transcriptomic profiles of non-embryogenic and embryogenic callus cells in a highly regenerative upland cotton line (Gossypium hirsutum L.)

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Genomic diversifications of five Gossypium allopolyploid species and their impact on cotton improvement.

First Report of Postharvest Fruit Rot on Gannan Navel Orange Caused by Diaporthe unshiuensis in Jiangxi Province, China.

Transcriptomic profiles of non-embryogenic and embryogenic callus cells in a highly regenerative upland cotton line (Gossypium hirsutum L.)