Transcriptomic analysis to elucidate the molecular mechanisms that underlie feed efficiency in meat-type chickens

2015 ◽  
Vol 290 (5) ◽  
pp. 1673-1682 ◽  
Author(s):  
Jeeyoung Lee ◽  
Arthur B. Karnuah ◽  
Romdhane Rekaya ◽  
Nicholas B. Anthony ◽  
Samuel E. Aggrey
Keyword(s):  
Feed Efficiency ◽  
Molecular Mechanisms ◽  
Transcriptomic Analysis ◽  
Meat Type

Comparative transcriptomic analysis of flowering induction in pitaya induced by supplementary lighting

2019 ◽  
Author(s):  
Rui Xiong ◽  
Liu Chengli ◽  
Min Xu ◽  
Shuang-Shuang Wei ◽  
Hua Tang
Keyword(s):  
Time Course ◽  
Molecular Mechanisms ◽  
De Novo ◽  
Floral Induction ◽  
Transcriptomic Analysis ◽  
Pcr Analysis ◽  
Reverse Transcription Pcr ◽  
Transcription Factor Genes ◽  
Supplementary Lighting ◽  
Transcriptomic Level

Abstract Background Pitayas are currently attracting considerable interest as a fruit with many health benefits. However, the lack of natural light after November in Hainan, China, severely restricts the production of pitaya in winter. To further explore the molecular mechanisms regulating flowering in pitaya, we used de novo RNA sequencing-based transcriptomic analysis for four stages of pitaya subjected to light induction. Results We assembled 68113 unigenes in total, comprising 29782 unigenes with functional annotations in the NR database, 20716 annotations in SwissProt, 18088 annotations in KOG, and 11059 annotations in KEGG. Comparison between different samples revealed different numbers of significantly differentially expressed genes (DEGs). A number of DEGs involved in energy metabolism-related processes and plant hormones were detected. Moreover, we discovered many CONSTANS-LIKE, FLOWERING LOCUS T and other DEGs involved in direct regulation of flowering, along with CDF and TCP, which function as typical transcription factor genes in the flowering process. At the transcriptomic level, we confirmed 13 DEGs with different functions in the time-course response to light-induced flowering by quantitative reverse-transcription PCR analysis. Conclusions These DEGs may include some key genes that control the floral-induction network, increasing our understanding of the molecular mechanism of floral regulation in pitaya. These findings will also aid the development of biotechnologies aimed at creating a variant of pitaya that is less sensitive to light conditions and blooms throughout the year.

scholarly journals PSVII-19 Transcriptomic analysis of the liver of laying hens fed diets containing supplemental fat at early laying stages

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 353-353
Author(s):  
Gi Ppeum Han ◽  
Geun Hyeon Park ◽  
Jong Hyuk Kim ◽  
Hyeon Seok Choi ◽  
Hwan Ku Kang ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Molecular Mechanisms ◽  
Acid Metabolism ◽  
Laying Hens ◽  
Acid Synthesis ◽  
Transcriptomic Analysis ◽  
Cdna Libraries ◽  
Feeding Diets ◽  
Supplemental Fat ◽  
Liver Tissues

Abstract Feeding diets containing supplemental fat to laying hens is reported to ameliorate pathogenesis of fatty liver hemorrhagic syndrome (FLHS). However, molecular mechanisms for this positive effect have not been investigated. Thus, we conducted a transcriptomic analysis of the liver of laying hens fed diets containing supplemental fat at early laying stages. Two dietary treatments included basal diets with no supplemental fat and basal diets supplemented with 3.0% tallow. A total of 256 18-week-old Hy-line Brown laying hens were allotted to 1 of 2 treatments. Diets were fed to hens for 12 weeks. At the end of the experiment (30 weeks of age), 5 hens with similar BW per treatment were euthanized to collect liver tissues. The cDNA libraries were constructed with extracted RNA from the liver tissues, and sequenced using the Illumina Nextseq 500 sequencer. Genes with False Discovery Rate (FDR) < 0.05 were defined as differentially expressed genes (DEGs). Results indicated that a total of 951 DEGs were identified, with 483 being up-regulated and 468 being down-regulated in the liver of hens fed diets containing 3.0% tallow. The KEGG analysis revealed that the DEGs belong to several biological pathways such as cellular signaling pathways, carbon metabolism, glycolysis, gluconeogenesis, TCA cycle, amino acid metabolism, drug metabolism, and glycerophospholipid metabolism. Especially for fatty acid metabolism, the DEGs associated with fatty acid degradation (ECI2, ACSL1, HADHA, EHHADH, ACOX1, CPT1) were up-regulated, whereas those related to fatty acid synthesis (ACACA, ACSL5, FASN) were down-regulated in the liver of hens fed diets containing 3.0% tallow, which indicates that supplemental fat in diets may increase fat oxidation but decrease fat synthesis in the liver. These results provide the molecular insights for hepatic lipid metabolisms by feeding diets containing supplemental fat to laying hens at early laying stages.

scholarly journals Integrated Metabolomic and Transcriptomic Analysis to Characterize Cutin Biosynthesis between Low- and High-Cutin Genotypes of Capsicum chinense Jacq

2020 ◽  
Vol 21 (4) ◽  
pp. 1397 ◽  
Author(s):  
Purushothaman Natarajan ◽  
Tolulope Abodunrin Akinmoju ◽  
Padma Nimmakayala ◽  
Carlos Lopez-Ortiz ◽  
Marleny Garcia-Lozano ◽  
...  
Keyword(s):  
Abiotic Stresses ◽  
Biosynthetic Pathway ◽  
Molecular Mechanisms ◽  
Extreme Temperature ◽  
Transcriptome Profiling ◽  
Transcriptomic Analysis ◽  
Biotic And Abiotic Stresses ◽  
Habanero Pepper ◽  
And Storage ◽  
Gdsl Lipase

Habanero peppers constantly face biotic and abiotic stresses such as pathogen/pest infections, extreme temperature, drought and UV radiation. In addition, the fruit cutin lipid composition plays an important role in post-harvest water loss rates, which in turn causes shriveling and reduced fruit quality and storage. In this study, we integrated metabolome and transcriptome profiling pertaining to cutin in two habanero genotypes: PI 224448 and PI 257145. The fruits were selected by the waxy or glossy phenotype on their surfaces. Metabolomics analysis showed a significant variation in cutin composition, with about 6-fold higher cutin in PI 257145 than PI 224448. It also revealed that 10,16-dihydroxy hexadecanoic acid is the most abundant monomer in PI 257145. Transcriptomic analysis of high-cutin PI 257145 and low-cutin PI 224448 resulted in the identification of 2703 statistically significant differentially expressed genes, including 1693 genes upregulated and 1010 downregulated in high-cutin PI 257145. Genes and transcription factors such as GDSL lipase, glycerol-3 phosphate acyltransferase 6, long-chain acyltransferase 2, cytochrome P450 86A/77A, SHN1, ANL2 and HDG1 highly contributed to the high cutin content in PI 257145. We predicted a putative cutin biosynthetic pathway for habanero peppers based on deep transcriptome analysis. This is the first study of the transcriptome and metabolome pertaining to cutin in habanero peppers. These analyses improve our knowledge of the molecular mechanisms regulating the accumulation of cutin in habanero pepper fruits. These resources can be built on for developing cultivars with high cutin content that show resistance to biotic and abiotic stresses with superior postharvest appearance.

scholarly journals Transcriptomic Analysis Reveals the Mechanism of Picea crassifolia Survival for Alpine Treeline Condition

Forests ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 156
Author(s):  
Zheng Shi ◽  
Xiuxiu Deng ◽  
Dengzhong Bai ◽  
Jingpin Lei ◽  
Maihe Li ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Carbon Fixation ◽  
Soluble Sugars ◽  
Gansu Province ◽  
Transcriptomic Analysis ◽  
Carbon Limitation ◽  
Molecular Evidence ◽  
Picea Crassifolia ◽  
Alpine Treeline ◽  
Tree Survival

The physiological mechanisms driving treeline formation succession captured the attention of ecologists many years ago, yet they are still not fully understood. In this study, physiological parameters (soluble sugars, starch, and nitrogen) were investigated in combination with transcriptomic analysis in the treeline tree species Picea crassifolia. The study was conducted in the middle of Qilian Mountain Reserves, Gansu Province, China, within the elevation range of 2500–3300 m. The results showed that the concentrations of non-structural carbohydrates decreased with increasing elevation in the current-year needles and current-year branches, as well as in the coarse and fine roots. RNA-Seq demonstrated that 483 genes were upregulated and 681 were downregulated in the comparison of 2900 and 2500 m (2900 vs. 2500), 770 were upregulated and 1006 were downregulated in 3300 vs. 2500, and 282 were upregulated and 295 were downregulated in 3300 vs. 2900. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the differentially expressed genes were highly enriched in photosynthesis-related processes, carbon fixation and metabolism, and nitrogen metabolism. Furthermore, almost all photosynthesis-related genes were downregulated, whereas many genes involved in cuticle lipids and flavonoid biosynthesis were upregulated, contributing to the survival of P. crassifolia under the treeline condition. Thus, our study provided not only molecular evidence for carbon limitation hypothesis in treeline formation, but also a better understanding of the molecular mechanisms of treeline tree survival under adverse conditions.

scholarly journals PSXIII-30 Analysis of gene expression profiles in liver and muscle tissue of pigs divergent in feed efficiency

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 475-475
Author(s):  
Stafford Vigors ◽  
Torres Sweeney
Keyword(s):  
Energy Metabolism ◽  
Immune Function ◽  
Feed Efficiency ◽  
Molecular Mechanisms ◽  
Protein Targeting ◽  
Expression Profiles ◽  
Cell Signalling ◽  
Gene Expression Profiles ◽  
Differentially Expressed ◽  
Joint Analysis

Abstract The improvement of feed efficiency is a key economic goal within the pig production industry. The objective of this study was to examine transcriptomic differences in both the liver and muscle in pigs divergent for feed efficiency, thus improving our understanding of the molecular mechanisms influencing feed efficiency and enabling the identification of candidate biomarkers. Residual feed intake (RFI) was calculated in two populations of pigs from two different farms of origin. The 6 most efficient (LRFI) and 6 least efficient (HRFI) animals in each population were selected for further analysis of Longissimus Dorsi muscle and liver. Three different analysis were performed: 1) Identification of differentially expressed genes (DE) in liver, 2) Identification of DE genes in muscle and 3) Identification of genes commonly DE in both tissues. Hierarchical clustering revealed that transcriptomic data segregated based on the RFI value of the pig rather than farm of origin. A total of 6464 genes were identified as being differentially expressed (DE) in muscle, while 964 genes were identified as being DE in liver. In the muscle-only analysis, genes associated with RNA, protein synthesis and energy metabolism were downregulated in the LRFI animals while in the liver-only analysis, genes associated with cell signalling and lipid homeostasis were upregulated in the LRFI animals. Genes that were commonly DE between muscle and liver (n = 526) were used for the joint analysis. These 526 genes were associated with protein targeting to membrane, extracellular matrix organization and immune function. There are pathways common to both muscle and liver in particular genes associated with immune function. In contrast, tissue-specific pathways contributing to differences in feed efficiency were also identified with genes associated with energy metabolism identified in muscle and lipid metabolism in liver. This study identifies key mechanisms driving changes in feed efficiency in pigs.

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