Abstract
Sisal is widely cultivated in tropical areas for fiber production. The main sisal cultivar, Agave H11648 ((A. amaniensis × A. angustifolia) × A. amaniensis) has a relatively scarce molecular basis and no genomic information. Next-generation sequencing technology has offered a great opportunity for functional gene mining in Agave species. Several published Agave transcriptomes have already been reused for gene cloning and selection pressure analysis. There are also other potential uses of the published transcriptomes, such as meta-analysis, molecular marker detection, alternative splicing analysis, multi-omics analysis, genome assembly, weighted gene co-expression network analysis, expression quantitative trait loci analysis, miRNA target site prediction, etc. In order to make the best of our published transcriptome of A. H11648 leaf, we here represent a data descriptor, with the aim to expand Agave bio information and benefit Agave genetic researches.
Highlights
Sisal is an important fiber crop in tropical areas around the world [1]
The fast development of next-generation sequencing has brought an efficient method for gene mining in minor crops [6]
Next-generation sequencing has been successfully carried out in several Agave species, which revealed the transcriptome dynamics of different tissues in A. deserti and
Summary
Sisal is an important fiber crop in tropical areas around the world [1]. The main sisal cultivar is. Next-generation sequencing has been successfully carried out in several Agave species, which revealed the transcriptome dynamics of different tissues in A. deserti and. As the leaf is the main vegetative part above ground and used for fiber production, we have conducted the transcriptome analysis of A. H11648 according to their transcriptomes, which provides an approach for the reuse of published Agave transcriptomes. These datasets can be used for selection pressure analysis to estimate the domestication patterns of Agave species [12]. H11648 transcriptome bio information and benefit Agave genetic researches. H11648 transcriptome dataset, in order to make the bestAgave of it.
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