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Academic Journal of Engineering and Technology Science, 2022, 5(2); doi: 10.25236/AJETS.2022.050207.

Genome Sequencing and Drought Resistance Expression Analysis of Mulberry Hybrids

Author(s)

Shanshan Song1, Jingjing Wang1, Jianguo Shi1, Haofeng Gao2, Ben Liu3

Corresponding Author:
Jianguo Shi
Affiliation(s)

1College of Life Sciences, Yulin University, Yulin 719000, China

2Oil and Gas Evaluation Center of CNPC Logging Co., Ltd., Xi’an, China

3Zhidan Oilfield Company of Yanchang Oilfield Co., Ltd., Yan'an 717500, China

Abstract

Drought is one of the most harmful abiotic stresses to plant growth, which directly causes a substantial reduction in the yield of crops worldwide. The purpose of this paper is to study and analyze the genome sequencing and drought resistance expression of mulberry hybrids. Using the mulberry seeds of the F1 generation of the hybrid combination of Gui Sangyou and Cesha series that have been collected at this stage with good phenotype and resistance, and the characters can be stably inherited, the seeds were treated with LNaCl solution, and the germination rate after treatment, The data of germination potential, germination index, salt damage index and other traits were used to comprehensively evaluate the salt tolerance of various mulberry resources; the seedlings were treated with the culture medium containing 45% PEG6000, and the survival rate of the seedlings of each mulberry hybrid combination after treatment was compared to evaluate its drought tolerance. The two kinds of resistance data were comprehensively analyzed, and the comprehensive resistance of different mulberry germplasm resources was classified. Using transcriptome sequencing (RNA-seq) technology, mulberry trees were sequenced under drought conditions. Simple measurements of the sequenced data are performed, along with identification assays and associated bioinformatics analysis.

Keywords

Mulberry Hybrid; Hybrid Combination; Genome Sequencing; Drought Resistance Expression

Cite This Paper

Shanshan Song, Jingjing Wang, Jianguo Shi, Haofeng Gao, Ben Liu. Genome Sequencing and Drought Resistance Expression Analysis of Mulberry Hybrids. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 2: 36-42. https://doi.org/10.25236/AJETS.2022.050207.

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