Dataset Information

Long-reads-based transcriptome dataset from leaves of lime, Citrus aurantiifolia (Christm.) Swingle treated by ethephon and abscisic acid.

ABSTRACT: The lime plant is a horticultural plant that grows in tropical regions. One of the cultivation maintenances to increase the production of lime fruits is pruning. However, the pruning technique of lime requires high production costs. In addition, phytohormones such as ethylene and abscisic acid have regulation to help drop leaves and branches. The study aimed to identify genes in lime involved in the self-pruning process during ethephon and abscisic acid treatments. Total RNA was extracted and subjected to long-read sequencing using a PCR-cDNA sequencing kit, Oxford Nanopore Technologies. The transcripts were produced 5,914 using the RATTLE program and ranged from 201 - 8,156 bp, and N50 was 1,292 bp. The RNA-seq dataset is available as a raw sequence read that scientists can further process and analyze, and this data can be helpful for lime breeding programs that can shed branches and leaves.

SUBMITTER: Paisey EK

PROVIDER: S-EPMC10189083 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Long-reads-based transcriptome dataset from leaves of lime, <i>Citrus aurantiifolia</i> (Christm.) Swingle treated by ethephon and abscisic acid.

Paisey Elda Kristiani EK Santosa Edi E Kurniawati Ani A Supijatno Matra Deden Derajat DD

Data in brief 20230418

The lime plant is a horticultural plant that grows in tropical regions. One of the cultivation maintenances to increase the production of lime fruits is pruning. However, the pruning technique of lime requires high production costs. In addition, phytohormones such as ethylene and abscisic acid have regulation to help drop leaves and branches. The study aimed to identify genes in lime involved in the self-pruning process during ethephon and abscisic acid treatments. Total RNA was extracted and su ...[more]

PMID: 37206898

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Project description:Acid lime (Citrus aurantifolia (Christm.) Swingle) is an important fruit crop, which has high commercial value and is cultivated in 60 out of the 77 districts representing all geographical landscapes of Nepal. A lack of improved high-yielding varieties, infestation with various diseases, and pests, as well as poor management practices might have contributed to its extremely reduced productivity, which necessitates a reliable understanding of genetic diversity in existing cultivars. Hereby, we aim to characterize the genetic diversity of acid lime cultivars cultivated at three different agro-ecological gradients of eastern Nepal, employing PCR-based inter-simple sequence repeat (ISSR) markers. Altogether, 21 polymorphic ISSR markers were used to assess the genetic diversity in 60 acid lime cultivars sampled from different geographical locations. Analysis of binary data matrix was performed on the basis of bands obtained, and principal coordinate analysis and phenogram construction were performed using different computer algorithms. ISSR profiling yielded 234 amplicons, of which 87.18% were polymorphic. The number of amplified fragments ranged from 7–18, with amplicon size ranging from ca. 250–3200 bp. The Numerical Taxonomy and Multivariate System (NTSYS)-based cluster analysis using the unweighted pair group method of arithmetic averages (UPGMA) algorithm and Dice similarity coefficient separated 60 cultivars into two major and three minor clusters. Genetic diversity analysis using Popgene ver. 1.32 revealed the highest percentage of polymorphic bands (PPB), Nei's genetic diversity (H), and Shannon's information index (I) for the Terai zone (PPB = 69.66%; H = 0.215; I = 0.325), and the lowest of all three for the high hill zone (PPB = 55.13%; H = 0.173; I = 0.262). Thus, our data indicate that the ISSR marker has been successfully employed for evaluating the genetic diversity of Nepalese acid lime cultivars and has furnished valuable information on intrinsic genetic diversity and the relationship between cultivars that might be useful in acid lime breeding and conservation programs in Nepal.

Dataset Information

Long-reads-based transcriptome dataset from leaves of lime, Citrus aurantiifolia (Christm.) Swingle treated by ethephon and abscisic acid.

Publications

Long-reads-based transcriptome dataset from leaves of lime, <i>Citrus aurantiifolia</i> (Christm.) Swingle treated by ethephon and abscisic acid.

Similar Datasets

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