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Falcataria moluccana

ABSTRACT: Transcriptomic Analysis of Resistance Sengon (Falcataria moluccana) Against Gall Rust Uses Long Read Sequencing

PROVIDER: PRJDB15120 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	DRR441037_1.fastq.gz	Fastqsanger.gz
	DRR441038_1.fastq.gz	Fastqsanger.gz
	DRR441039_1.fastq.gz	Fastqsanger.gz
	DRR441040_1.fastq.gz	Fastqsanger.gz
	DRR441041_1.fastq.gz	Fastqsanger.gz

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Falcataria moluccana

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Chloroplast genome draft assembly of Falcataria moluccana using hybrid sequencing technology.

Project description:ObjectivesFalcataria moluccana, known locally as Sengon, is a fast-growing legume tree that is commonly planted in community forests of Java Island, Indonesia. However, the plantations face attacks of Boktor stem borer (Xystrocera festiva) and gall-rust disease (Uromycladium falcatariae) as major threats to its productivity. To control those pest and disease, it is necessary to grow resistant sengon clones, which are developed through tree improvement program, of which needs genetic and genomic information. This dataset was created to construct draft of sengon chloroplast genome and to study the evolution of sengon based on matK and rbcL barcode genes.Data descriptionGenomic DNA was extracted from leaf samples of one individual healthy tree in a private plantation. The DNA was sequenced using Illumina Novaseq 6000 (Novogen AIT, Singapore) for short-reads data, and MinION of Nanopore following manufacture's protocols SQK-LSK110 for long-reads data. The 66,3 Gb short-reads and 12 Gb long-reads data were hybrid assembled and used to construct a 128.867 bp of F. moluccana chloroplast genome with a quadripartite structure, containing a pair of inverted repeats, a large single-copy and a small single-copy region. Phylogenetic tree constructed using matK and rbcL showed monophyletic origin of F. moluccana and other legume trees.

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De novo transcriptome assembly data for sengon (Falcataria moluccana) trees displaying resistance and susceptibility to boktor stem borers (Xystrocera festiva Pascoe).

Project description:ObjectivesSengon (Falcataria moluccana) is a popular tree species in community plantation forests in Java, Indonesia due to its fast-growing and multipurpose characteristics. However, without effective control measures sengon plantations are vulnerable to boktor stem borer (Xystrocera festiva) infestation. Previous research found some boktor-resistant trees amid mostly susceptible individuals. Resistant trees have higher levels of enzyme inhibitory activity than susceptible ones. However, efforts to differentiate between the two accessions using microsatellite markers failed to provide satisfactory answers. This dataset was created to study differences in gene expressions between resistant and susceptible accessions, and to identify candidate genes involved in boktor resistance in sengon.Data descriptionRNA was extracted from fresh wood samples collected from two individual trees: one heavily infested with boktor larvae, and the other showing no signs of infestation. The sample trees grow in close proximity to each other within the same plantation. The RNA was sequenced using the BGISEQ-500 platform and produced 78.5 million raw reads. De novo transcriptome were assembled using Trinity and produced 96,164 contigs after filtering and clustering. This transcriptome data is important for understanding pest resistance mechanisms in sengon trees, serving as basis for an improvement program for resistance to boktor pest.

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Cronartium quercuum

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The dataset of de novo transcriptome assembly of <i>Falcataria moluccana</i> cambium from gall-rust (<i>Uromycladium falcatarium</i>) infected and non-infected tree.

Project description:Sengon (Falcataria moluccana), formerly known as Albizia falcataria or Paraserianthes falcataria, is an essential tree species for the development of community-based timber plantation, especially in Indonesia. The plantations nowadays are facing a significant disease threat, namely infection of gall-rust fungi (Uromycladium falcatarium). However, a clear understanding of the molecular mechanisms of the tree response against the disease is still unknown. We carried out transcriptome assembly using BGISEQ-500 technology to provide assembled de novo transcriptome dataset generated from gall-rust infected and non-infected trees. The construction of assembled transcriptome was conducted using Trinity v.2.3.2 The raw reads are available in the DDBJ platform with accession number, DRA007983.

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