An integration of phenotypic and transcriptomic data analysis reveals yield-related hub genes in Jatropha curcas inflorescence

Govender, Nisha; Senan, Siju; Sage, Edison Eukun; Mohamed‐Hussein, Zeti‐Azura; Mackeen, Mukram Mohamed; Wickneswari, R.

doi:10.1371/journal.pone.0203441

Cited by 5 publications

(2 citation statements)

References 69 publications

(87 reference statements)

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“…The low yield of J. curcas plants reported in some studies (Matos et al, 2012;Govender et al, 2018;Lama et al, 2018) was not found in the present study. Plants treated with trinexapac-ethyl + prohexadione-Ca (T3) produced, on average, 1.306 kg per plant, and control plants produced 0.927 kg per plant.…”

Section: Resultscontrasting

confidence: 87%

Development and Productivity of Jatropha curcas Plants Treated With Growth Regulators

Amorim¹,

Amaro²,

Rossato³

et al. 2019

JAS

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The objective of the present work was to evaluate the effect of plant growth regulators (PGR) on the vegetative development and productivity of Jatropha curcas plants. A field experiment was conducted at the Goiás State University, Brazil, using two-year-old J. curcas plants planted with spacing of 3 × 2 m, using foliar applications of two PGR—trinexapac-ethyl and prohexadione-Ca. A randomized block design was used with four treatments (trinexapac-ethyl at 1 ml plant-1—T1; prohexadione-Ca at 2 mg plant-1—T2; trinexapac-ethyl at 1 ml plant-1 plus prohexadione-Ca at 2 mg plant-1—T3; and Control—T4), five replications, and plots consisting of two plants. Two applications of a 300 ml plant-1 solution with the treatments were performed with a 30-day interval after the leaf emergence period (late September and October 2017). The trinexapac-ethyl and prohexadione-Ca plant growth regulators increased the grain yield of Jatropha curcas plants by increasing their vegetative growth, and number of inflorescences, and female and hermaphrodite flowers, but had no effect on the uniformity of fruit maturation. The treatment in which both plant growth regulators were used presented the best results, generating more vigorous and productive plants.

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Section: Resultscontrasting

confidence: 87%

Development and Productivity of Jatropha curcas Plants Treated With Growth Regulators

Amorim¹,

Amaro²,

Rossato³

et al. 2019

JAS

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show abstract

“…Protein TEA021735.1 has 1,361 interactions found in Module_1 that has important role in protein kinase activity and might be involved in regulatory processes in reproduction through glucose signalling [41]. Protein TEA006404.1 having KO id K13998 was found to have 728 interactions, and may have an important role in nucleotide metabolism in response to drought and heat stresses [42].…”

Section: Resultsmentioning

confidence: 99%

Genome-wide interologous interactome map (TeaGPIN) ofCamellia sinensis

Singh

2019

Preprint

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Tea, prepared from the young leaves of Camellia sinensis, is a non-alcoholic beverage globally consumed due to its antioxidant properties, strong taste and aroma. Although, the genomic data of this medicinally and commercially important plant is available, studies related to its sub-cellular interactomic maps are less explored. In this work, we propose a genome-wide interologous protein-protein interaction (PPI) network of tea, termed as TeaGPIN, consisting of 12,033 nodes and 216,107 interactions, developed using draft genome of tea and known PPIs exhaustively collected from 49 template plants. TeaGPIN interactions are prioritized using domain-domain interactions along with the interolog information. A high-confidence TeaGPIN consisting of 5,983 nodes and 58,867 edges is reported and its interactions are further evaluated using protein co-localization similarities. Based on three network centralities (degree, betweenness and eigenvector), 1,302 key proteins are reported in tea to have p-value < 0.01 by comparing the TeaGPIN with 10,000 realizations of Erdős-Rényi and Barabási-Albert based corresponding random network models. Functional content of TeaGPIN is assessed using KEGG and GO annotations and its modular architecture is explored. Network based characterization is carried-out on the transcription factors, and proteins involved flavonoid biosynthesis and photosynthesis pathways to find novel candidates involved in various regulatory processes. We believe the proposed TeaGPIN will impart useful insights in understanding various mechanisms related to growth and development as well as defence against biotic and abiotic perturbations.

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Tweaking Crassulacean Acid Metabolism (CAM)‐Cycling Plants for Crop Productivity Improvement in View of a Bioenergy Crop,Jatropha curcasLinn

Govender

Dorairaj

Mohamed‐Hussein

et al. 2021

Annual Plant Reviews Online

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Crassulacean acid metabolism (CAM)‐cycling plants display both the C3and CAM photosynthetic pathways at various extents in response to environmental and plant physiological conditions. Evolved from the C3metabolism, CAM is a photosynthetic adaptation specialised to improve plant water‐use efficiency by shifting/extending the CO2uptake from the day to the night. Obligate CAM plants such as the Agave species, pineapples, orchids, and prickly pears are highly productive and respond favourably to extreme heat and drought, and water‐limited environments. In comparison to the C3and C4plants, agricultural CAM crops can thrive in semi‐arid and arid lands, making them an ideal and sustainable commercial crop for food and energy. Very few plants exhibit the CAM‐cycling pathway, while the fairly well‐known examples includeMesembryanthemum crystallinum(ice plant) andJatropha curcas(physic nut). In such plants bestowed with the ability to interchange different photosynthetic metabolisms, little is known on how each unique photosynthetic metabolism is likely to contribute to overall plant growth and development. This article explores the utilisation of CAM for biomass and yield improvement in a bioenergy crop (J. curcas) conferred with CAM‐cycling photosynthetic machinery. TheJ. curcasphotosynthetic‐associated parameters, yield components in relation to transcriptomic data analyses from previous studies are described and discussed to benefit plant breeding programs targeted for productivity enhancement.

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An integration of phenotypic and transcriptomic data analysis reveals yield-related hub genes in Jatropha curcas inflorescence

Cited by 5 publications

References 69 publications

Development and Productivity of Jatropha curcas Plants Treated With Growth Regulators

Development and Productivity of Jatropha curcas Plants Treated With Growth Regulators

Genome-wide interologous interactome map (TeaGPIN) ofCamellia sinensis

Tweaking Crassulacean Acid Metabolism (CAM)‐Cycling Plants for Crop Productivity Improvement in View of a Bioenergy Crop,Jatropha curcasLinn

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