000			02832nam a2200313Ia 4500
003			MX-MdCICY
005			20250625162451.0
040			_cCICY
090			_aB-20553
245	1	0	_aThe de novo transcriptome assembly of Agave angustifolia Haw, mining for carbohydrates and cellulose synthesis genes profiling, and molecular markers development
490	0		_vPlant Biotechnology Reports, https://doi.org/10.1007/s11816-023-00861-6, 2023
520	3		_aAlthough Agave angustifolia Haw is one of the most cultural and industrial promising species in Mexico, no extensive genomic resources were available. Herein, we explore the transcriptome data set of this species. Total RNA from stem, roots, young and mature leaves was purified and sequenced by NovaSeq6000 system. From the de novo assembly of A. angustifolia, a total of 358,170 transcripts with average length of 1117 bp, N50 of 858 bp, and GC mean content of 43.5 percent were obtained. About 48.7 percent of the transcripts had open reading frame (ORF). Hence, 63.4 percent and 42.7 percent of the ORFs were annotated using Blastp and Blastx against UniProtKB database, respectively, uncovering the presence of at least 29,273 genes in the A. angustifolia transcriptome. The six pairwise comparisons between plant tissues resulted in the identification of 123,181 differentially expressed transcripts (23,978 were upregulated and 79,203 were downregulated). Several carbohydrate metabolism pathways were significantly enriched from the comparisons between leaves and stems. Thus, genes regulated for the fructan, starch and sucrose biosynthesis were discussed. Furthermore, genes involved in cellulose synthesis were explored being the members of the cellulose synthase genes subfamily were highly expressed in young leaf, while the members of the cellulose synthase-like subfamily were preferentially expressed in mature leaf. Moreover, A. angustifolia transcriptome served for the identification of 30,766 SSR and 21,686 VNTR potential markers. Overall, the transcriptomic data generated in this study provide an invaluable resource to understand the biology of A. angustifolia, offering new insight to understand their physiology and adaptation.
650	1	4	_aRNA-SEQ
650	1	4	_aGENE EXPRESSION
650	1	4	_aAGAVE
650	1	4	_aFRUCTAN
650	1	4	_aCELLULOSE
650	1	4	_aSSRS
700	1	2	_aValadez-Moctezuma, E.
700	1	2	_aSamah, S.
700	1	2	_aMascorro-Gallardo, J. O.
700	1	2	_aReynoso, J. J. L.
700	1	2	_aMarbán-Mendoza, N.
700	1	2	_aAranda-Osorio, G.
700	1	2	_aBrito-Nájera, G.
856	4	0	_uhttps://drive.google.com/file/d/1ViqDWiqCcuLUbO6_jnHkSMIcaVgcYkaX/view?usp=drivesdk _zPara ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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