Omics and Breeding of Bast Fiber Crops

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Genetics, Genomics and Biotechnology".

Deadline for manuscript submissions: closed (20 November 2022) | Viewed by 3601

Special Issue Editors


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Guest Editor
Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China
Interests: omics; crop domestication; crop genetic improvement

E-Mail Website
Guest Editor
Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China
Interests: genetic breeding and multipurpose utilization of bast fiber crops
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Bast fiber is one of the most important fibers, and it is typically extracted from the stem barks and leaves of crops including jute, flax, ramie, hemp, kenaf, sisal, and so on. In the past decades, reference genomes for major bast fiber crops including jute, kenaf, ramie, hemp, and flax were released, which helped scientists to explore function genomics, genomic resequencing, pangenomics and the identification of genes linked with desired agronomic traits, as well as molecular markers such as SNPs and InDels. The referenced genomes provide an important basis for researching the methylome, modified proteome, transcriptome, non-encoding RNAs, and so on in bast fiber crops. Accordingly, omics studies help molecular breeding and genomic selection breeding come to light.

Prof. Dr. Touming Liu
Prof. Dr. Aiguo Zhu
Guest Editors

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Keywords

  • bast fibers
  • omics
  • genomics
  • proteomics
  • gene cloning
  • agronomic traits
  • genetic mapping

Published Papers (2 papers)

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Research

15 pages, 6414 KiB  
Article
Transcriptomic and Metabolic Profiling of Kenaf Stems under Salinity Stress
by Xia An, Jie Chen, Tingting Liu, Wenlue Li, Xiahong Luo and Lina Zou
Plants 2022, 11(11), 1448; https://doi.org/10.3390/plants11111448 - 29 May 2022
Cited by 2 | Viewed by 1236
Abstract
Kenaf (Hibiscus cannabinus L.) is an indispensable fiber crop that faces increasing salinity stress. In previous studies regarding the molecular mechanisms of how kenaf may respond to salt stress, no metabolic evidences have been reported. Meanwhile, studies regarding kenaf stems under adverse [...] Read more.
Kenaf (Hibiscus cannabinus L.) is an indispensable fiber crop that faces increasing salinity stress. In previous studies regarding the molecular mechanisms of how kenaf may respond to salt stress, no metabolic evidences have been reported. Meanwhile, studies regarding kenaf stems under adverse growth conditions have not been conducted. In the present study, multiple-layer evidences including physiological, transcriptomic, and metabolic data regarding how kenaf stems were affected by the salt stress are provided, wherein the stem growth, especially the lignification process, is retarded. Meanwhile, the transcriptomic data indicated genes involved in the photosynthesis are significantly repressed while the multiple flavonoid metabolism genes are enriched. As to the metabolic data, the content variation for the growth-promotion phytohormones such as IAA and the stress-responding ones including ABA are within or without expectations, implying these phytohormones played complicated roles when the kenaf stems encounter salt stress. However, the metabolite variations did not always agree with the expression levels of corresponding key pathway genes, possibly because the metabolite could be biosynthesized or catabolized in multiple pathways. Collectively, our data may enlighten, more specifically, downstream studies on kenaf responses against salinity and other adverse conditions. Full article
(This article belongs to the Special Issue Omics and Breeding of Bast Fiber Crops)
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17 pages, 8140 KiB  
Article
Genome-Wide Association Study of Six Forage Traits in Ramie (Boehmeria nivea L. Gaud)
by Xuehua Bai, Xin Wang, Yanzhou Wang, Yiping Wei, Yafen Fu, Jing Rao, Yonghong Ma, Zheng Zeng, Fu Li, Mansheng Wang and Siyuan Zhu
Plants 2022, 11(11), 1443; https://doi.org/10.3390/plants11111443 - 28 May 2022
Cited by 4 | Viewed by 1609
Abstract
Genome-wide association study (GWAS) of six forage traits using whole-genome sequencing data generated from 301 ramie accessions found that traits were continuously distributed; the maximum variant coefficient was fresh weight per clump (FWPC) (2019) and individual plant height (IPH) (2019) minimum. Correlation analysis [...] Read more.
Genome-wide association study (GWAS) of six forage traits using whole-genome sequencing data generated from 301 ramie accessions found that traits were continuously distributed; the maximum variant coefficient was fresh weight per clump (FWPC) (2019) and individual plant height (IPH) (2019) minimum. Correlation analysis demonstrated that 2019 and 2020 results were similar; all traits were correlated. GWAS analysis demonstrated that six traits exhibited consistent and precise association signals. Of the latter, 104 were significant and detected in 43 genomic regions. By screening forage trait-associated single nucleotide polymorphisms and combining Manhattan map with genome annotation, signals were categorized according to functional annotations. One loci associated with fresh weight per plant (FWP) (chromosome 5; Bnt05G007759), two associated with FWPC (chromosome 13; Bnt13G018582, and Bnt13G018583), and two associated with leaf dry weight per plant (LDWP) and dry weight per plant (DWP) (chromosome 4; Bnt04G005779 and Bnt04G005780), were identified. We describe forage trait candidate genes that are highly correlated with FWP and FWPC; Bnt05G007759 may be involved in nitrogen metabolism, while Bnt13G018582 and Bnt13G018583 may encode TEOSINTE branch 1/CYCLOIDEA/proliferating cytokine 1 (TCP) domains. Bnt04G005779 and Bnt04G005780, which may regulate growth and development, are highly related to LDWP and DWP. These genomic resources will provide a basis for breeding varieties. Full article
(This article belongs to the Special Issue Omics and Breeding of Bast Fiber Crops)
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