QTL mapping of drought-related traits in the hybrids of Populus deltoides 'Danhong'×Populus simonii 'Tongliao1'.

Chromosome Mapping Droughts Drugs, Chinese Herbal Populus / genetics Water
Coexpression network Crossbreeding Drought stress Drought-related traits Populus QTL mapping

Journal

BMC plant biology
ISSN: 1471-2229
Titre abrégé: BMC Plant Biol
Pays: England
ID NLM: 100967807

Informations de publication

Date de publication:
11 May 2022
Historique:
received: 28 05 2021
accepted: 21 04 2022
entrez: 11 5 2022
pubmed: 12 5 2022
medline: 17 5 2022
Statut: epublish

Résumé

Poplar trees provide a large amount of wood material, but many parts of the world are arid or semi-arid areas because of insufficient annual precipitation, which seriously affects the growth of poplar trees. Populus simonii 'Tongliao1' shows strong tolerance to stress environments, and Populus deltoides 'Danhong' shows a stronger growth rate in a suitable environment. To identify drought tolerance-related QTLs and genes, an F We measured drought-related traits such as the relative height growth, relative diameter growth, leaf senescence number, specific leaf area, and leaf relative water content in the population under control and drought environments. The results showed that drought stress reduced the plant height relative growth, ground diameter relative growth, specific leaf area and leaf relative water content and increased the number of leaf drops. A total of 208 QTLs were identified by QTL mapping analysis, and they consisted of 92, 63 and 53 QTLs under control, drought stress treatment and drought index conditions, respectively. A molecular identification marker for drought tolerance, np2841, which was associated with a QTL (qDLRWC-LG10-1) for relative leaf water content, was initially developed. We mined 187 candidate genes for QTL regions of five traits under a drought environment. The reference genome annotation for Populus trichocarpa and a homologous gene analysis of Arabidopsis thaliana identified two candidate genes, Potri.003G171300 and Potri.012G123900, with significant functions in response to drought stress. We identified five key regulatory genes (Potri.006G273500, Potri.007G111500, Potri.007G111600, Potri.007G111700, and Potri.007G111800) related to drought tolerance through the poplar coexpression network. In this study, our results indicate that the QTLs can effectively enhance the drought tolerance of poplar. It is a step closer towards unravelling the genetic basis of poplar drought tolerance-related traits, and to providing validated candidate genes and molecular markers for future genetic improvement.

Sections du résumé

BACKGROUND BACKGROUND
Poplar trees provide a large amount of wood material, but many parts of the world are arid or semi-arid areas because of insufficient annual precipitation, which seriously affects the growth of poplar trees. Populus simonii 'Tongliao1' shows strong tolerance to stress environments, and Populus deltoides 'Danhong' shows a stronger growth rate in a suitable environment. To identify drought tolerance-related QTLs and genes, an F
RESULTS RESULTS
We measured drought-related traits such as the relative height growth, relative diameter growth, leaf senescence number, specific leaf area, and leaf relative water content in the population under control and drought environments. The results showed that drought stress reduced the plant height relative growth, ground diameter relative growth, specific leaf area and leaf relative water content and increased the number of leaf drops. A total of 208 QTLs were identified by QTL mapping analysis, and they consisted of 92, 63 and 53 QTLs under control, drought stress treatment and drought index conditions, respectively. A molecular identification marker for drought tolerance, np2841, which was associated with a QTL (qDLRWC-LG10-1) for relative leaf water content, was initially developed. We mined 187 candidate genes for QTL regions of five traits under a drought environment. The reference genome annotation for Populus trichocarpa and a homologous gene analysis of Arabidopsis thaliana identified two candidate genes, Potri.003G171300 and Potri.012G123900, with significant functions in response to drought stress. We identified five key regulatory genes (Potri.006G273500, Potri.007G111500, Potri.007G111600, Potri.007G111700, and Potri.007G111800) related to drought tolerance through the poplar coexpression network.
CONCLUSION CONCLUSIONS
In this study, our results indicate that the QTLs can effectively enhance the drought tolerance of poplar. It is a step closer towards unravelling the genetic basis of poplar drought tolerance-related traits, and to providing validated candidate genes and molecular markers for future genetic improvement.

Identifiants

DOI: 10.1186/s12870-022-03613-w PMID: 35545765 PMC: PMC9092850
pubmed: 35545765
doi: 10.1186/s12870-022-03613-w
pii: 10.1186/s12870-022-03613-w
pmc: PMC9092850
doi:

Substances chimiques

Drugs, Chinese Herbal 0
danhong 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

238

Subventions

Organisme : National Key Research and Development Program of China
ID : 2021YFD2200201
Organisme : National Key Research and Development Program of China
ID : 2021YFD2200201
Organisme : National Key Research and Development Program of China
ID : 2021YFD2200201
Organisme : National Key Research and Development Program of China
ID : 2021YFD2200201
Organisme : National Key Research and Development Program of China
ID : 2021YFD2200201
Organisme : National Key Research and Development Program of China
ID : 2021YFD2200201
Organisme : National Natural Science Foundation
ID : 32071797, 31570669
Organisme : National Natural Science Foundation
ID : 32071797, 31570669
Organisme : National Natural Science Foundation
ID : 32071797, 31570669
Organisme : National Natural Science Foundation
ID : 32071797, 31570669
Organisme : National Natural Science Foundation
ID : 32071797, 31570669
Organisme : National Natural Science Foundation
ID : 32071797, 31570669
Organisme : National Key Program on Transgenic Research
ID : 2018ZX08020002
Organisme : National Key Program on Transgenic Research
ID : 2018ZX08020002
Organisme : National Key Program on Transgenic Research
ID : 2018ZX08020002
Organisme : National Key Program on Transgenic Research
ID : 2018ZX08020002
Organisme : National Key Program on Transgenic Research
ID : 2018ZX08020002
Organisme : National Key Program on Transgenic Research
ID : 2018ZX08020002

Informations de copyright

© 2022. The Author(s).

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Auteurs

Changjian Du (C)

State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.

Pei Sun (P)

State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100093, China.

Xingqi Cheng (X)

State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.

Lei Zhang (L)

State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.

Lijuan Wang (L)

State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.

Jianjun Hu (J)

State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China. hujj@caf.ac.cn.
Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China. hujj@caf.ac.cn.

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Classifications MeSH

Recherchemedicale.com › Techniques d'investigation › Techniques génétiques › Cartographie chromosomique › QTL mapping of drought-related traits in the...
Recherchemedicale.com › Environnement et santé publique › Environnement › Catastrophes › Catastrophes naturelles › Sécheresses › QTL mapping of drought-related traits in the...
Recherchemedicale.com › Préparations pharmaceutiques › Médicaments issus de plantes chinoises › QTL mapping of drought-related traits in the...
Recherchemedicale.com › Eucaryotes › Viridiplantae › Streptophyta › Embryophyta › Tracheobionta › Magnoliopsida › Rosanae › Malpighiales › Salicaceae › Populus › QTL mapping of drought-related traits in the...
Recherchemedicale.com › Produits chimiques inorganiques › Composés de l'oxygène › Oxydes › Eau › QTL mapping of drought-related traits in the...