scholarly journals Evaluation of rubber tree transcriptome and discovery of SNP and SSR from candidate genes involved in cellulose and lignin biosynthesis

2021 ◽  
Author(s):  
Ahmad Sofiman Othman ◽  
Mohd Fahmi Abu Bakar

Hevea brasiliensis (the rubber tree) is a well-known species with high economic value, and it is the primary source of natural rubber globally. Increasing demand for furniture and related industries has made rubberwood production as important as latex production. Molecular markers such as Single Nucleotide Polymorphisms (SNPs) and Simple Sequence Repeats (SSRs) are widely used for Marker Assisted Selection (MAS) which can be detected in large quantity by transcriptome sequencing. MAS is thought to be a useful method for the development of new rubberwood clones for its shorter breeding cycle compared to a conventional breeding procedure. In this study we performed RNA sequencing (RNA-seq) on four H. brasiliensis clones (RRIM 712, RRIM 2025, RRIM 3001 and PB 314) from three tissues including bark, latex and leaf samples to identify SSRs and SNPs associated with wood-formation related genes. The RNA sequencing using the Illumina NextSeq 500 v2 platform, generated 1,697,491,922 raw reads. A total of 101,269 transcripts over 400 bp in size were obtained and similarity search of the non-redundant (nr) protein database returned 83,748 (83%) positive BLASTx hits. The transcriptome analysis was annotated using the NCBI NR (National Center for Biotechnology Information Non-Redundant), UniProtKB/Swiss-Prot, gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Differential expression analysis between later-timber rubber clone and non-later-timber rubber clone on wood-formation related genes, showed genes encoding phenylalanine ammonia-lyase (PAL), caffeic acid O-methyltransferase (COMT) and cinnamoyl-CoA reductase (CCR) were highly up-regulated in a latex-timber rubber clone. In total, about 3,210,629 SNPs and 14,956 SSRs were detected with 1,786 SNPs and 31 SSRs were found for wood-formation biosynthesis of H. brasilensis from 11 lignin and cellulose gene toolboxes. After filtering and primer selection, 103 SNPs and 18 SSR markers were successfully amplified and could be useful as molecular tool for marker assisted breeding to produce new timber rubber clones.

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiangxu Meng ◽  
Yue Wang ◽  
Jia Li ◽  
Nanbo Jiao ◽  
Xiujie Zhang ◽  
...  

Given the importance of wood in many industrial applications, much research has focused on wood formation, especially lignin biosynthesis. However, the mechanisms governing the regulation of lignin biosynthesis in the rubber tree (Hevea brasiliensis) remain to be elucidated. Here, we gained insight into the mechanisms of rubber tree lignin biosynthesis using reaction wood (wood with abnormal tissue structure induced by gravity or artificial mechanical treatment) as an experimental model. We performed transcriptome analysis of rubber tree mature xylem from tension wood (TW), opposite wood (OW), and normal wood (NW) using RNA sequencing (RNA-seq). A total of 214, 1,280, and 32 differentially expressed genes (DEGs) were identified in TW vs. NW, OW vs. NW, and TW vs. OW, respectively. GO and KEGG enrichment analysis of DEGs from different comparison groups showed that zeatin biosynthesis, plant hormone signal transduction, phenylpropanoid biosynthesis, and plant–pathogen interaction pathways may play important roles in reaction wood formation. Sixteen transcripts involved in phenylpropanoid biosynthesis and 129 transcripts encoding transcription factors (TFs) were used to construct a TF–gene regulatory network for rubber tree lignin biosynthesis. Among them, MYB, C2H2, and NAC TFs could regulate all the DEGs involved in phenylpropanoid biosynthesis. Overall, this study identified candidate genes and TFs likely involved in phenylpropanoid biosynthesis and provides novel insights into the mechanisms regulating rubber tree lignin biosynthesis.


2016 ◽  
Vol 213 (1) ◽  
pp. 287-299 ◽  
Author(s):  
Marçal Soler ◽  
Anna Plasencia ◽  
Romain Larbat ◽  
Cécile Pouzet ◽  
Alain Jauneau ◽  
...  

Author(s):  
Shengnan Sun ◽  
Gongxuan Chen ◽  
Zhenping Hou ◽  
Xuelei Zhang ◽  
Guitao Jiang ◽  
...  

PRDX6 is a bifunctional protein involved in antioxidant regulation and phospholipid metabolism. Previous studies have shown that PRDX6 is involved in some biological pathways and networks related to lactation. The aim of this study was to explore the characteristics, function, tissue expression and variation of buffalo PRDX6 gene. We cloned and characterized the complete coding sequence (CDS) of buffalo PRDX6. The CDS of PRDX6 for swamp and river buffalo is the same, which consists of 675 nucleotides and encodes a protein of 224 amino acids. Buffalo PRDX6 contains one PRX_1cys functional domain (AA 7–222), which is probably related to the regulation of oxidative stress. Multi-tissue differential expression analysis showed that buffalo PRDX6 was highly expressed in the muscle, brain, lung and small intestine during non-lactation and lactation, and there were significant differences in expression in all the tissues except the small intestine between the two periods. It is worth noting that the mRNA abundance of buffalo PRDX6 in non-lactating mammary gland is higher than that in lactating mammary gland. Among the two single nucleotide polymorphisms (SNPs) identified in the CDS in this study, c.261C>T is shared by the two types of buffalo with different allelic frequencies, and c.426T>G is found only in river buffalo. The c.426T>G is non-synonymous, resulting in the amino acid substitution p.Asn142Lys. Only one nucleotide differential site is identified in PRDX6 gene between buffalo and other species of Bovidae. Phylogenetic analysis indicated that buffalo PRDX6 has a closer genetic relationship with that of the species in Bovidae. These results indicate that PRDX6 probably plays a crucial role in the mammary gland of buffalo. This study provides the foundation for further functional studies of PRDX6 in buffalo.


Author(s):  
Jian-Zhi Huang ◽  
Chih-Peng Lin ◽  
Ting-Chi Cheng ◽  
Ya-Wen Huang ◽  
Yi-Jung Tsai ◽  
...  

Phalaenopsis orchid is an important potted flower with high economic value around the world. We report the 3.1 Gb draft genome assembly of an important winter flowering Phalaenopsis ‘KHM190’ cultivar. We generated 89.5 Gb RNA-seq and 113 million sRNA-seq reads to use these data to identify 41,153 protein-coding genes and 188 miRNA families. We also generated a draft genome for Phalaenopsis pulcherrima ‘B8802’, a summer flowering species, via resequencing. Comparison of genome data between the two Phalaenopsis cultivars allowed the identification of 691,532 single-nucleotide polymorphisms. In this study, we reveal the key role of PhAGL6b in the regulation of flower organ development involves alternative splicing. We also show gibberellin pathways that regulate the expression of genes control flowering time during the stage in reproductive phase change induced by cool temperature. Our work should contribute a valuable resource for the flowering control, flower architecture development, and breeding of the Phalaenopsis orchids.


Genes ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 619 ◽  
Author(s):  
Zhenhao Guo ◽  
Hui Hua ◽  
Jin Xu ◽  
Jiaxing Mo ◽  
Hui Zhao ◽  
...  

Cryptomeria fortunei, also known as the Chinese cedar, is an important timber species in southern China. The primary component of its woody tissues is lignin, mainly present in secondary cell walls. Therefore, continuous lignin synthesis is crucial for wood formation. In this study, we aimed to discover key genes involved in lignin synthesis expressed in the vascular cambium of C. fortunei. Through transcriptome sequencing, we detected expression of two genes, 4CL and CCoAOMT, known to be homologous to enzymes involved in the lignin synthesis pathway. We studied the function of these genes through bioinformatics analysis, cloning, vascular cambium expression analysis, and transgenic cross-species functional validation studies. Our results show that Cf4CL and CfCCoAOMT do indeed function in the pathway of lignin synthesis and likely perform this function in C. fortunei. They are prime candidates for future (gene-editing) studies aimed at optimizing C. fortunei wood production.


Biomolecules ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 156 ◽  
Author(s):  
Wan-Long Su ◽  
Na Liu ◽  
Li Mei ◽  
Jie Luo ◽  
Yi-Jie Zhu ◽  
...  

To uncover the transcriptomic mechanism of lignin accumulation caused by boron deficiency (BD), Nanlin895 (Populus × euramericana “Nanlin895”) was subjected to control (CK, 0.25 mg·L−1) and BD (0 mg·L−1) treatments for 3 days. RNA-Seq was carried out to survey the expression patterns of the lignin-regulated biosynthetic genes in response to BD. The results showed that 5946 genes were identified as differentially expressed genes (DEGs), 2968 (44.2%) of which were upregulated and 3318 (55.8%) of which were downregulated in response to BD. Among them, the expression of lignin monomer biosynthetic (PAL, CCR, CAD, COMT, F5H, PER/LAC) and modulated genes, for example, transcription factors (MYBs) and hormone signal regulating genes (GIDs, histidine kinase 1, coronatine-insensitive protein 1), were upregulated, and some hormone signal regulating genes, such as AUXs and BR-related (sterol methyltransferases), were downregulated under BD treatment. There are also some genes that were screened as candidates for an association with wood formation, which will be used for the further analysis of the function of lignin formation. These results provide an important theoretical basis and reference data in plant for further research on the mechanism of lignin accumulation under BD.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Li Yao ◽  
Teresa Shippy ◽  
Yongchao Li

Abstract In a developing nervous system, endogenous electric field (EF) influence embryonic growth. We reported the EF-directed migration of both rat Schwann cells (SCs) and oligodendrocyte precursor cells (OPCs) and explored the molecular mechanism using RNA-sequencing assay. However, previous studies revealed the differentially expressed genes (DEGs) associated with EF-guided migration of SCs or OPCs alone. In this study, we performed joint differential expression analysis on the RNA-sequencing data from both cell types. We report a number of significantly enriched gene ontology (GO) terms that are related to the cytoskeleton, cell adhesion, and cell migration. Of the DEGs associated with these terms, nine up-regulated DEGs and 32 down-regulated DEGs showed the same direction of effect in both SCs and OPCs stimulated with EFs, while the remaining DEGs responded differently. Thus, our study reveals the similarities and differences in gene expression and cell migration regulation of different glial cell types in response to EF stimulation.


Nanomaterials ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 903 ◽  
Author(s):  
Antonio Federico ◽  
Angela Serra ◽  
My Kieu Ha ◽  
Pekka Kohonen ◽  
Jang-Sik Choi ◽  
...  

Preprocessing of transcriptomics data plays a pivotal role in the development of toxicogenomics-driven tools for chemical toxicity assessment. The generation and exploitation of large volumes of molecular profiles, following an appropriate experimental design, allows the employment of toxicogenomics (TGx) approaches for a thorough characterisation of the mechanism of action (MOA) of different compounds. To date, a plethora of data preprocessing methodologies have been suggested. However, in most cases, building the optimal analytical workflow is not straightforward. A careful selection of the right tools must be carried out, since it will affect the downstream analyses and modelling approaches. Transcriptomics data preprocessing spans across multiple steps such as quality check, filtering, normalization, batch effect detection and correction. Currently, there is a lack of standard guidelines for data preprocessing in the TGx field. Defining the optimal tools and procedures to be employed in the transcriptomics data preprocessing will lead to the generation of homogeneous and unbiased data, allowing the development of more reliable, robust and accurate predictive models. In this review, we outline methods for the preprocessing of three main transcriptomic technologies including microarray, bulk RNA-Sequencing (RNA-Seq), and single cell RNA-Sequencing (scRNA-Seq). Moreover, we discuss the most common methods for the identification of differentially expressed genes and to perform a functional enrichment analysis. This review is the second part of a three-article series on Transcriptomics in Toxicogenomics.


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