PoplarV1, Main, Exploration, bibRecord, 002181

Identification and characterization of nuclear genes involved in photosynthesis in Populus.

Identifieur interne : 002181 ( Main/Exploration ); précédent : 002180; suivant : 002182

Identification and characterization of nuclear genes involved in photosynthesis in Populus.

Auteurs : Bowen Wang ; Qingzhang Du ; Xiaohui Yang ; Deqiang Zhang [République populaire de Chine]

Source :

BMC plant biology [ 1471-2229 ] ; 2014.

RBID : pubmed:24673936

Descripteurs français

KwdFr :
- Analyse de profil d'expression de gènes (MeSH), Analyse de regroupements (MeSH), Analyse de variance (MeSH), Annotation de séquence moléculaire (MeSH), Gene Ontology (MeSH), Gènes de plante (MeSH), Hybridation génétique (MeSH), Locus génétiques (MeSH), Noyau de la cellule (génétique), Photosynthèse (génétique), Phénotype (MeSH), Polymorphisme de nucléotide simple (génétique), Populus (génétique), Populus (physiologie), Reproductibilité des résultats (MeSH), Réaction de polymérisation en chaine en temps réel (MeSH), Régulation de l'expression des gènes végétaux (MeSH), Régulation négative (génétique), Régulation positive (génétique), Réseaux de régulation génique (MeSH), Stress physiologique (génétique), Séquençage par oligonucléotides en batterie (MeSH).
MESH :

English descriptors

Abstract

BACKGROUND

The gap between the real and potential photosynthetic rate under field conditions suggests that photosynthesis could potentially be improved. Nuclear genes provide possible targets for improving photosynthetic efficiency. Hence, genome-wide identification and characterization of the nuclear genes affecting photosynthetic traits in woody plants would provide key insights on genetic regulation of photosynthesis and identify candidate processes for improvement of photosynthesis.

RESULTS

Using microarray and bulked segregant analysis strategies, we identified differentially expressed nuclear genes for photosynthesis traits in a segregating population of poplar. We identified 515 differentially expressed genes in this population (FC ≥ 2 or FC ≤ 0.5, P < 0.05), 163 up-regulated and 352 down-regulated. Real-time PCR expression analysis confirmed the microarray data. Singular Enrichment Analysis identified 48 significantly enriched GO terms for molecular functions (28), biological processes (18) and cell components (2). Furthermore, we selected six candidate genes for functional examination by a single-marker association approach, which demonstrated that 20 SNPs in five candidate genes significantly associated with photosynthetic traits, and the phenotypic variance explained by each SNP ranged from 2.3% to 12.6%. This revealed that regulation of photosynthesis by the nuclear genome mainly involves transport, metabolism and response to stimulus functions.

CONCLUSIONS

This study provides new genome-scale strategies for the discovery of potential candidate genes affecting photosynthesis in Populus, and for identification of the functions of genes involved in regulation of photosynthesis. This work also suggests that improving photosynthetic efficiency under field conditions will require the consideration of multiple factors, such as stress responses.

DOI: 10.1186/1471-2229-14-81
PubMed: 24673936
PubMed Central: PMC3986721

Affiliations:

République populaire de Chine

Links toward previous steps (curation, corpus...)

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Le document en format XML

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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
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<p>The gap between the real and potential photosynthetic rate under field conditions suggests that photosynthesis could potentially be improved. Nuclear genes provide possible targets for improving photosynthetic efficiency. Hence, genome-wide identification and characterization of the nuclear genes affecting photosynthetic traits in woody plants would provide key insights on genetic regulation of photosynthesis and identify candidate processes for improvement of photosynthesis.</p>
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<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Using microarray and bulked segregant analysis strategies, we identified differentially expressed nuclear genes for photosynthesis traits in a segregating population of poplar. We identified 515 differentially expressed genes in this population (FC ≥ 2 or FC ≤ 0.5, P < 0.05), 163 up-regulated and 352 down-regulated. Real-time PCR expression analysis confirmed the microarray data. Singular Enrichment Analysis identified 48 significantly enriched GO terms for molecular functions (28), biological processes (18) and cell components (2). Furthermore, we selected six candidate genes for functional examination by a single-marker association approach, which demonstrated that 20 SNPs in five candidate genes significantly associated with photosynthetic traits, and the phenotypic variance explained by each SNP ranged from 2.3% to 12.6%. This revealed that regulation of photosynthesis by the nuclear genome mainly involves transport, metabolism and response to stimulus functions.</p>
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<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>This study provides new genome-scale strategies for the discovery of potential candidate genes affecting photosynthesis in Populus, and for identification of the functions of genes involved in regulation of photosynthesis. This work also suggests that improving photosynthetic efficiency under field conditions will require the consideration of multiple factors, such as stress responses.</p>
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<AbstractText Label="RESULTS" NlmCategory="RESULTS">Using microarray and bulked segregant analysis strategies, we identified differentially expressed nuclear genes for photosynthesis traits in a segregating population of poplar. We identified 515 differentially expressed genes in this population (FC ≥ 2 or FC ≤ 0.5, P < 0.05), 163 up-regulated and 352 down-regulated. Real-time PCR expression analysis confirmed the microarray data. Singular Enrichment Analysis identified 48 significantly enriched GO terms for molecular functions (28), biological processes (18) and cell components (2). Furthermore, we selected six candidate genes for functional examination by a single-marker association approach, which demonstrated that 20 SNPs in five candidate genes significantly associated with photosynthetic traits, and the phenotypic variance explained by each SNP ranged from 2.3% to 12.6%. This revealed that regulation of photosynthesis by the nuclear genome mainly involves transport, metabolism and response to stimulus functions.</AbstractText>
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Identification and characterization of nuclear genes involved in photosynthesis in Populus.

Identification and characterization of nuclear genes involved in photosynthesis in Populus.

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