scholarly journals MeRIP-seq and RNA-seq data of mycelium and spore of Ascosphaera apis, a widespread bee fungal pathogen

2020 ◽  
Author(s):  
Yu Du ◽  
Haibin Jiang ◽  
Zhiwei Zhu ◽  
Jie Wang ◽  
Huazhi Chen ◽  
...  
Keyword(s):  
Fungal Pathogen ◽  
Rna Isolation ◽  
Transcript Level ◽  
Current Data ◽  
List Type ◽  
Rna Seq ◽  
Ascosphaera Apis ◽  
Bee Health ◽  
Intergenic Regions

ABSTRACTAscosphaera apis is widespread fungal pathogen of honeybee larvae, causing chalkbrood, a chronic disease that weakens bee health and colony productivity. In this article, mecylia and spores of A. apis were respectively purified followed by RNA isolation, cDNA library construction, MeRIP-seq and RNA-seq. A total of 62,551,172, 41,773,158, 49,535,092 and 61,569,610 raw reads were produced from Aam_IP, Aas_IP, Aam_input and Aas_input groups, respectively. After quality control, 58,484,368, 37,381,432, 44,655,434 and 58,739,742 clean reads were obtained. Furthermore, 47,706,205, 31,356,690, 35,259,810 and 44,319,061 clean reads were mapped to the reference genome of A. apis, including 39,337,036, 26,731,957, 31,987,396 and 40,017,855 unique mapped reads, and 8,369,169, 4,624,733, 3,272,414 and 4,301,206 multiple mapped reads. Among them, 96.31%, 96.51%, 96.82% and 97.11% of clean reads were mapped to exons; 2.09%, 2.31%,1.83% and 1.81% to introns; 1.60%, 1.18%, 1.35% and 1.08% to intergenic regions.Value of the dataThe data can be used to investigate the relationship between the m6A modification extent and the transcript level in the A. apis transcriptome.This dataset contributes to transcriptome-wide characterization of the m6A distributing patterns in mRNAs and non-coding RNAs in A. apis mycelium and spore.Current data benefits new functions of m6A modification in the transcripts extensively modified by m6A in A. apis mycelium and spore.Our data could be used to characterize differential patterns of the m6A methylation between mycelium and spore of A. apis.

scholarly journals Strand-specific cDNA library-based RNA sequencing dataset of un-infected and Ascosphaera apis-infected larval guts of Apis cerana cerana

2020 ◽  
Author(s):  
Huazhi Chen ◽  
Zhiwei Zhu ◽  
Jie Wang ◽  
Yuanchan Fan ◽  
Haibin Jiang ◽  
...  
Keyword(s):  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Reference Genome ◽  
Apis Cerana ◽  
Gc Content ◽  
Current Data ◽  
Apis Cerana Cerana ◽  
List Type ◽  
Ascosphaera Apis ◽  
Intergenic Regions

ABSTRACTApis cerana cerana is a subspecies of eastern honeybee, Apis cerana. Ascosphaera apis is a widespread fungal pathogen of honeybee, leading to chalkbrood, which results in heavy losses for beekeeping industry. In this article, 4-, 5-, and 6-day-old larval guts of un-infected (AcCK1, AcCK2, and AcCK3) and A. apis-infected A. c. cerana (AcT1, AcT2, and AcT3) were sequenced by next generation sequencing. Totally, 73830148, 96586212, 94552744, 76672564, 90954858, and 83418832 raw reads were respectively produced from AcCK1, AcCK2, AcCK3, AcT1, AcT2, and AcT3. The sequencing depth was enough to detect all expressed genes. After strict quality control, 73775592, 96513798, 94495000, 76593924, 90870608 and 83339288 clean reads were obtained, with a mean GC content of 48.54%. Additionally, average Q20 and Q30 for aforementioned six groups were 98.10% and 94.36%, respectively. Moreover, 45302685, 65872823, 52709987, 49947838, 56476339, and 42657156 clean reads from above-mentioned six groups were mapped to the reference genome of Apis cerana, respectively. In addition, exons were the most abundant regions in reference genome mapped by clean reads, followed by intergenic regions and introns. Our data presented here can be used to identify long non-coding RNAs (lncRNAs), circlular RNAs (circRNAs), mRNAs and their regulatory networks engaged in response of eastern honeybee larvae to A. apis infection, and decipher molecular mechanisms underlying host-pathogen interaction.Value of the DataThe current data can be used for exploration of mRNAs, lncRNAs, circRNAs and their competing endogenous RNA (ceRNA) networks engaged in response of A. c. cerana larvae to A. apis infection.This data provides a valuable genetic resource for better understanding non-coding RNA-mediated cross-kingdom regulation of eastern honey larvae to A. apis.The accessible data offers novel insights into understanding the molecular mechanism underlying interaction between eastern honeybee larvae and A. apis.

scholarly journals An integrative atlas of chicken long non-coding genes and their annotations across 25 tissues

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Frédéric Jehl ◽  
Kévin Muret ◽  
Maria Bernard ◽  
Morgane Boutin ◽  
Laetitia Lagoutte ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Biological Processes ◽  
Rna Seq ◽  
Protein Coding ◽  
Tissue Specific ◽  
Protein Coding Genes ◽  
Intergenic Regions ◽  
Immune Tissues ◽  
Non Coding Rnas

AbstractLong non-coding RNAs (LNC) regulate numerous biological processes. In contrast to human, the identification of LNC in farm species, like chicken, is still lacunar. We propose a catalogue of 52,075 chicken genes enriched in LNC (http://www.fragencode.org/), built from the Ensembl reference extended using novel LNC modelled here from 364 RNA-seq and LNC from four public databases. The Ensembl reference grew from 4,643 to 30,084 LNC, of which 59% and 41% with expression ≥ 0.5 and ≥ 1 TPM respectively. Characterization of these LNC relatively to the closest protein coding genes (PCG) revealed that 79% of LNC are in intergenic regions, as in other species. Expression analysis across 25 tissues revealed an enrichment of co-expressed LNC:PCG pairs, suggesting co-regulation and/or co-function. As expected LNC were more tissue-specific than PCG (25% vs. 10%). Similarly to human, 16% of chicken LNC hosted one or more miRNA. We highlighted a new chicken LNC, hosting miR155, conserved in human, highly expressed in immune tissues like miR155, and correlated with immunity-related PCG in both species. Among LNC:PCG pairs tissue-specific in the same tissue, we revealed an enrichment of divergent pairs with the PCG coding transcription factors, as for example LHX5, HXD3 and TBX4, in both human and chicken.

scholarly journals Whole genome bisulfite sequencing dataset of mycelium and spore of chalkbrood disease pathogen Ascosphaera apis

2020 ◽  
Author(s):  
Yu Du ◽  
Haibin Jiang ◽  
Huazhi Chen ◽  
Jie Wang ◽  
Yuanchan Fan ◽  
...  
Keyword(s):  
Bisulfite Sequencing ◽  
Current Data ◽  
List Type ◽  
Whole Genome ◽  
Mycelium Growth ◽  
Ascosphaera Apis ◽  
Whole Genome Bisulfite Sequencing ◽  
Bisulfite Treatment ◽  
Genome Wide ◽  
Genome Bisulfite Sequencing

ABSTRACTChalkbrood, a widespread fungal disease of bee larvae, is caused by the fungus Ascosphaera apis. In this article, mecylia and spores of A. apis were respectively collected followed by DNA isolation, bisulfite conversion, cDNA library construction and next-generation sequencing. Using whole genome bisulfite sequencing (WGBS), 69,844,360 and 60,570,990 raw reads were yielded from Aam and Aas, and after quality control, 9,982,386,951 and 8,825,601,434 clean reads were obtained, respectively. In addition, 67,685,866 and 58,886,072 clean reads were mapped to the reference genome of A. apis, including 37,643,592 and 31,568,442 unique mapped clean reads, and 49,686 and 13,348 multiple mapped clean reads. Furthermore, after bisulfite treatment, the conversion ratio of clean reads from Aam and Aas were 99.38% and 99.51%, respectively. The WGBS data ducumented here contributes to genome-wide identification of 5mC methylation sites in A. apis and comparison of methylomes between mycelium and spore.Value of the dataThis dataset can be used for genome-wide identification of 5mC methylation sites in A. apis.The accessible data could be used to systematically compare methylomes between mycelium and spore of A. apis.Current data provides a useful resource for further study on DNA methylation-mediated mechanism underlying mycelium growth, spore germination and sexual reproduction of mycelium with the opposite sex.

Nanopore long-read transcriptome data of fungal pathogen of chalkbrood disease, Ascosphaera apis

2020 ◽  
Author(s):  
Yu Du ◽  
Huazhi Chen ◽  
Jie Wang ◽  
Zhiwei Zhu ◽  
Cuiling Xiong ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
Fungal Pathogen ◽  
Length Distribution ◽  
Full Length ◽  
List Type ◽  
Transcriptome Data ◽  
Ascosphaera Apis ◽  
Oxford Nanopore ◽  
Long Read ◽  
Colony Productivity

ABSTRACTAscosphaera apis is a fungal pathogen that exclusively infects honeybee larvae, leading to chalkbrood disease, which damages the number of adult honeybees and colony productivity. In this article, A. apis mecylia and spores were respectively purified followed by Oxford Nanopore sequencing via PromethION platform. In total, 6,321,704 and 6,259,727 raw reads were generated from Aam and Aas, with a length distribution among 1 kb~10 kb. The quality (Q) scores of majority of raw reads were Q9 (Aam) and Q11 (Aas). Additionally, 5,669,436 and 6,233,159 clean reads were gained, among them 79.32% and 79.62% were identified as being full-length. The lengths of redundant reads-removed full-length transcripts were among 1 kb~8 kb and 1 kb~9 kb, and most abundant length for both was 1 kb. Furthermore, the length of redundant transcripts-removed clean reads was ranged from 1 kb~7 kb, with the largest group of 1 kb. The data reported here provides a beneficial genetic resource for improving genome and transcriptome annotations of A. apis and for exploring alternative splicing and polyadenylation of A. apis mRNAs.Value of the resultCurrent dataset enables better understanding of the complexity of A. apis transcriptome.The long-read transcriptome data can be used to identify of genes and transcripts associated with A. apis infection mechanism.The accessible data provides full-length transcripts for improving gene structure and functional annotation of A. apis transcriptome.This dataset could be utilized for investigation of alternative splicing and polyadenylation of A. apis mRNAs.

scholarly journals Transcriptome-wide N6-methyladenosine (m6A) methylation in watermelon under CGMMV infection

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yanjun He ◽  
Lili Li ◽  
Yixiu Yao ◽  
Yulin Li ◽  
Huiqing Zhang ◽  
...  
Keyword(s):  
Plant Immunity ◽  
Colorimetric Method ◽  
Transcript Level ◽  
Early Response ◽  
Rna Seq ◽  
Differentially Methylated Genes ◽  
Rna Biology ◽  
Regulatory Functions ◽  
And Control

Abstract Background Cucumber green mottle mosaic virus (CGMMV) causes substantial global losses in cucurbit crops, especially watermelon. N6-methyladenosine (m6A) methylation in RNA is one of the most important post-transcriptional modification mechanisms in eukaryotes. It has been shown to have important regulatory functions in some model plants, but there has been no research regarding m6A modifications in watermelon. Results We measured the global m6A level in resistant watermelon after CGMMV infection using a colorimetric method. And the results found that the global m6A level significantly decreased in resistant watermelon after CGMMV infection. Specifically, m6A libraries were constructed for the resistant watermelon leaves collected 48 h after CGMMV infection and the whole-genome m6A-seq were carried out. Numerous m6A modified peaks were identified from CGMMV-infected and control (uninfected) samples. The modification distributions and motifs of these m6A peaks were highly conserved in watermelon transcripts but the modification was more abundant than in other reported crop plants. In early response to CGMMV infection, 422 differentially methylated genes (DMGs) were identified, most of which were hypomethylated, and probably associated with the increased expression of watermelon m6A demethylase gene ClALKBH4B. Gene Ontology (GO) analysis indicated quite a few DMGs were involved in RNA biology and stress responsive pathways. Combined with RNA-seq analysis, there was generally a negative correlation between m6A RNA methylation and transcript level in the watermelon transcriptome. Both the m6A methylation and transcript levels of 59 modified genes significantly changed in response to CGMMV infection and some were involved in plant immunity. Conclusions Our study represents the first comprehensive characterization of m6A patterns in the watermelon transcriptome and helps to clarify the roles and regulatory mechanisms of m6A modification in watermelon in early responses to CGMMV.

Parasite defense mechanisms in bees: behavior, immunity, antimicrobials, and symbionts

2019 ◽  
Vol 4 (1) ◽  
pp. 59-76 ◽  
Author(s):  
Alison E. Fowler ◽  
Rebecca E. Irwin ◽  
Lynn S. Adler
Keyword(s):  
Defense Mechanisms ◽  
Poor Quality ◽  
Future Research ◽  
Immune Priming ◽  
Social Bees ◽  
Bee Health ◽  
Landscape Scales ◽  
And Function ◽  
Solitary Species

Parasites are linked to the decline of some bee populations; thus, understanding defense mechanisms has important implications for bee health. Recent advances have improved our understanding of factors mediating bee health ranging from molecular to landscape scales, but often as disparate literatures. Here, we bring together these fields and summarize our current understanding of bee defense mechanisms including immunity, immunization, and transgenerational immune priming in social and solitary species. Additionally, the characterization of microbial diversity and function in some bee taxa has shed light on the importance of microbes for bee health, but we lack information that links microbial communities to parasite infection in most bee species. Studies are beginning to identify how bee defense mechanisms are affected by stressors such as poor-quality diets and pesticides, but further research on this topic is needed. We discuss how integrating research on host traits, microbial partners, and nutrition, as well as improving our knowledge base on wild and semi-social bees, will help inform future research, conservation efforts, and management.

scholarly journals Characterization of Ocular Surface Microbial Profiles Revealed Discrepancies between Conjunctival and Corneal Microbiota

Pathogens ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 405
Author(s):  
Anna Matysiak ◽  
Michal Kabza ◽  
Justyna A. Karolak ◽  
Marcelina M. Jaworska ◽  
Malgorzata Rydzanicz ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Ocular Surface ◽  
Molecular Techniques ◽  
Corneal Tissue ◽  
Rna Seq ◽  
Microbiome Composition ◽  
Viral Sequences ◽  
Pcr Techniques ◽  
Unmapped Reads

The ocular microbiome composition has only been partially characterized. Here, we used RNA-sequencing (RNA-Seq) data to assess microbial diversity in human corneal tissue. Additionally, conjunctival swab samples were examined to characterize ocular surface microbiota. Short RNA-Seq reads, obtained from a previous transcriptome study of 50 corneal tissues, were mapped to the human reference genome GRCh38 to remove sequences of human origin. The unmapped reads were then used for taxonomic classification by comparing them with known bacterial, archaeal, and viral sequences from public databases. The components of microbial communities were identified and characterized using both conventional microbiology and polymerase chain reaction (PCR) techniques in 36 conjunctival swabs. The majority of ocular samples examined by conventional and molecular techniques showed very similar microbial taxonomic profiles, with most of the microorganisms being classified into Proteobacteria, Firmicutes, and Actinobacteria phyla. Only 50% of conjunctival samples exhibited bacterial growth. The PCR detection provided a broader overview of positive results for conjunctival materials. The RNA-Seq assessment revealed significant variability of the corneal microbial communities, including fastidious bacteria and viruses. The use of the combined techniques allowed for a comprehensive characterization of the eye microbiome’s elements, especially in aspects of microbiota diversity.

scholarly journals Pan-cancer analysis of transcripts encoding novel open-reading frames (nORFs) and their potential biological functions

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Chaitanya Erady ◽  
Adam Boxall ◽  
Shraddha Puntambekar ◽  
N. Suhas Jagannathan ◽  
Ruchi Chauhan ◽  
...  
Keyword(s):  
Transcript Level ◽  
Open Reading Frames ◽  
The Cancer Genome Atlas ◽  
Small Subset ◽  
Cancer Tissue ◽  
Post Translational Modifications ◽  
Cancer Genome Atlas ◽  
Systematic Identification ◽  
Reading Frames

AbstractUncharacterized and unannotated open-reading frames, which we refer to as novel open reading frames (nORFs), may sometimes encode peptides that remain unexplored for novel therapeutic opportunities. To our knowledge, no systematic identification and characterization of transcripts encoding nORFs or their translation products in cancer, or in any other physiological process has been performed. We use our curated nORFs database (nORFs.org), together with RNA-Seq data from The Cancer Genome Atlas (TCGA) and Genotype-Expression (GTEx) consortiums, to identify transcripts containing nORFs that are expressed frequently in cancer or matched normal tissue across 22 cancer types. We show nORFs are subject to extensive dysregulation at the transcript level in cancer tissue and that a small subset of nORFs are associated with overall patient survival, suggesting that nORFs may have prognostic value. We also show that nORF products can form protein-like structures with post-translational modifications. Finally, we perform in silico screening for inhibitors against nORF-encoded proteins that are disrupted in stomach and esophageal cancer, showing that they can potentially be targeted by inhibitors. We hope this work will guide and motivate future studies that perform in-depth characterization of nORF functions in cancer and other diseases.

scholarly journals Characterization of full-length transcriptome in Saccharum officinarum and molecular insights into tiller development

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Haifeng Yan ◽  
Huiwen Zhou ◽  
Hanmin Luo ◽  
Yegeng Fan ◽  
Zhongfeng Zhou ◽  
...  
Keyword(s):  
Carbon Fixation ◽  
Developmental Stages ◽  
Genomic Data ◽  
Saccharum Officinarum ◽  
Full Length ◽  
Rna Seq ◽  
Pyruvate Phosphate Dikinase ◽  
Sugarcane Yield ◽  
Tiller Bud

Abstract Background Although extensive breeding efforts are ongoing in sugarcane (Saccharum officinarum L.), the average yield is far below the theoretical potential. Tillering is an important component of sugarcane yield, however, the molecular mechanism underlying tiller development is still elusive. The limited genomic data in sugarcane, particularly due to its complex and large genome, has hindered in-depth molecular studies. Results Herein, we generated full-length (FL) transcriptome from developing leaf and tiller bud samples based on PacBio Iso-Seq. In addition, we performed RNA-seq from tiller bud samples at three developmental stages (T0, T1 and T2) to uncover key genes and biological pathways involved in sugarcane tiller development. In total, 30,360 and 20,088 high-quality non-redundant isoforms were identified in leaf and tiller bud samples, respectively, representing 41,109 unique isoforms in sugarcane. Likewise, we identified 1063 and 1037 alternative splicing events identified in leaf and tiller bud samples, respectively. We predicted the presence of coding sequence for 40,343 isoforms, 98% of which was successfully annotated. Comparison with previous FL transcriptomes in sugarcane revealed 2963 unreported isoforms. In addition, we characterized 14,946 SSRs from 11,700 transcripts and 310 lncRNAs. By integrating RNA-seq with the FL transcriptome, 468 and 57 differentially expressed genes (DEG) were identified in T1vsT0 and T2vsT0, respectively. Strong up-regulation of several pyruvate phosphate dikinase and phosphoenolpyruvate carboxylase genes suggests enhanced carbon fixation and protein synthesis to facilitate tiller growth. Similarly, up-regulation of linoleate 9S-lipoxygenase and lipoxygenase genes in the linoleic acid metabolism pathway suggests high synthesis of key oxylipins involved in tiller growth and development. Conclusions Collectively, we have enriched the genomic data available in sugarcane and provided candidate genes for manipulating tiller formation and development, towards productivity enhancement in sugarcane.

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