The Aquaponic Ecosystem Study as a Base of Applied Research in Bioinformatics

This article is an enhancement of the authors chapter "Critical Review about Aquaponics is non-boring sciences, as a base of competence" about conceptual platform for the work of a network of regional experimental sites that work out various aspects of the implementation of design and research activities in the study of aquaponics.The chapter contains a description of the experience of creating a new component of the regional education system "Aquaponics in Education", the construction of the content of education in the educational organization, taking into account the new component; Designing a unified network of interaction between educational organizations of various types for the implementation of the author's experimental program "The Academy of non – boring Sciences. Aquaponics ". Methodical recommendations on the inclusion of innovative equipment Fish Plant Family Unit and Fish Plant Production in the educational system, the direction of design and research activities of students in the field of aquaponics are proposed.

Parametric model for flora detection in Middle Himalayas

Plant detection forms an integral part of the life of the forest guards, researchers, and students in the field of Botany and for common people also who are curious about knowing a plant. But detecting plants suffer a major drawback that the true identifier is only the flower and in certain species flowering occurs at major time period gaps spanning from few months to over 100 years (in certain types of bamboos). Machine Learning-based systems could be used in developing models where the experience of researchers in the field of plant sciences can be incorporated into the model. In this paper, we present a machine learning-based approach based upon other quantifiable parameters for the detection of the plant presented. The system takes plant parameters as the inputs and will detect the plant family as the output.

Distribution of Bombus haemorrhoidalis Smith and its Interrelationship with Host Plants in Chitwan Annapurna Landscape of Central Nepal

Occurrence and variety of flowering host plant of native Bombus pollinators are viewed as basicalternatives than the imported species. The use of native bumblebee species for pollination wasconsidered more significant than imported bumblebees to reduce environmental impact and pestproblems. B. haemorrhoidalis is the most dominant species of Chitwan Annapurna Landscape inagricultural and wild flora during April to September 2019. We followed assessable walking trailsand used insect net for sample collection. The effect of different environmental variables on the floralhost plant resources of this native bumblebee was examined. With eight locations ranging from 1407to 2506 meters above sea level, twenty-seven species of seventeen plant families were identified aspollen and nectar foraging host plants. B haemorrhidalis distribution frequency is correlated withrelative humidity (0.07438968) and altitude (0.495657857). The most visited plant family wasBalsaminaceae and plant was Imatian scrabida. This study gives the knowledge of abundance of hostplants, ecological and biological relationship of the B. haemorrhoidalis in Nepal

Ethno-botanical uses and taxonomic composition of some Aju Mbaise (Mbaise wraps)

This document focuses on the ethnobotanical uses and taxonomic composition of some Aju Mbaise (Mbaise wraps). A total of 31 plant species belonging to 24 families were identified in the wraps collected from the study area. These plants are used in the treatment of ailments such as hypertension, typhoid, malaria, boost fertility in females, post-partum (immediately after birth), treatment of diabetes, treatment of arthritis, and induce weight loss. Annonaceae family constituted 9.68% of the total plant family, followed by Acanthaceae, Combretaceae, Fabaceae, Malvaceae, and Rubiaceae with 6.45% each. Among the plant species, Cnestis ferruginea (Connaraceae) occurred in five wraps. This is followed by Alternanthera bettzickiana (Amaranthaceae), Craterispermum cerinanthum (Rubiaceae), and Napoleona imparalis (Lecythidaceae) found in four wraps while Acanthus montanus (Acanthaceae), Barteria nigritana (Passifloraceae), Nephrolepis exaltata (Nephrolepidaceae), Oxytenanthera abyssinica (Poaceae), Palisota hirsuta (Commelinaceae), Scleria naumanniana (Cyperaceae), and Sida rhomboidea (Malvaceae) are in three ailments each. These plant species and families with high occurrence are the most effectively used plant groups in the study for the treatment of these diseases.

Authentication and identification markers for medicinal plants: I Aristolochia bracteolata

<p class="abstract"><strong>Background:</strong> Aristolochiaceae is a unique plant family that contains aristolochic acids (AAs), with around 600 species.</p><p class="abstract"><strong>Methods:</strong> The entire chloroplast genome of <em>Aristolochia bracteolata</em> was sequenced in this work, and fourteen chloroplast (cp) genomes were retrieved from the NCBI database. </p><p class="abstract"><strong>Results:</strong> We also analyzed six types of microsatellite markers among these species and found some different markers for each species. A molecular phylogeny based on 7 barcode regions i.e. <em>matK,</em> <em>atpF</em> to <em>atpH</em>, <em>psbK</em> to <em>psbI</em>, <em>rbcL, rpoB, rpoC2</em> and <em>rpoC1</em> is proposed for <em>Aristolochia </em>and 16 species from Piperales, <em>Arabidopsis thaliana</em> is taken as an outgroup. Phylogenetic relationships using concatenated protein-coding genes from Chloroplast genomes of Piperales using the maximum likelihood method is also discussed.</p><p class="abstract"><strong>Conclusions:</strong> In the present study we are providing some unique markers<strong> </strong>and phylogenetic relationships among Piperales members which will help in identification, authentication, to prevent adulteration and further investigation of these medicinal plants.</p>

An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning

Leaves are the most abundant and visible plant organ, both in the modern world and the fossil record. Identifying foliage to the correct plant family based on leaf architecture is a fundamental botanical skill that is also critical for isolated fossil leaves, which often, especially in the Cenozoic, represent extinct genera and species from extant families. Resources focused on leaf identification are remarkably scarce; however, the situation has improved due to the recent proliferation of digitized herbarium material, live-plant identification applications, and online collections of cleared and fossil leaf images. Nevertheless, the need remains for a specialized image dataset for comparative leaf architecture. We address this gap by assembling an open-access database of 30,252 images of vouchered leaf specimens vetted to family level, primarily of angiosperms, including 26,176 images of cleared and x-rayed leaves representing 354 families and 4,076 of fossil leaves from 48 families. The images maintain original resolution, have user-friendly filenames, and are vetted using APG and modern paleobotanical standards. The cleared and x-rayed leaves include the Jack A. Wolfe and Leo J. Hickey contributions to the National Cleared Leaf Collection and a collection of high-resolution scanned x-ray negatives, housed in the Division of Paleobotany, Department of Paleobiology, Smithsonian National Museum of Natural History, Washington D.C.; and the Daniel I. Axelrod Cleared Leaf Collection, housed at the University of California Museum of Paleontology, Berkeley. The fossil images include a sampling of Late Cretaceous to Eocene paleobotanical sites from the Western Hemisphere held at numerous institutions, especially from Florissant Fossil Beds National Monument (late Eocene, Colorado), as well as several other localities from the Late Cretaceous to Eocene of the Western USA and the early Paleogene of Colombia and southern Argentina. The dataset facilitates new research and education opportunities in paleobotany, comparative leaf architecture, systematics, and machine learning.

Alkaloid Profiling and Cholinesterase Inhibitory Potential of Crinum × amabile Donn. (Amaryllidaceae) Collected in Ecuador

Natural products are one of the main sources for developing new drugs. The alkaloids obtained from the plant family Amaryllidaceae have interesting structures and biological activities, such as acetylcholinesterase inhibition potential, which is one of the mechanisms used for the palliative treatment of Alzheimer’s disease symptoms. Herein we report the alkaloidal profile of bulbs and leaves extracts of Crinum × amabile collected in Ecuador and their in vitro inhibitory activity on acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) enzymes. Using Gas Chromatography coupled to Mass Spectrometry (GC-MS), we identified 12 Amaryllidaceae alkaloids out of 19 compounds detected in this species. The extracts from bulbs and leaves showed great inhibitory activity against AChE and BuChE, highlighting the potential of Amaryllidaceae family in the search of bioactive molecules.

Phytochemicals and Bioactivities of Syzygium filiformevar. filiforme

Syzygium filiforme var. filiforme is a plant variety from dicotyledonous plant family (Myrtaceae). Phytochemical studies on S. filiforme var. filiforme stem bark have successfully isolated and characterized arjunolic acid (1), alphitolic acid (2), betulinic acid (3), ursolic acid (4), ursolic acid 3-methyl ester (5), β-sitosterol (6) and stigmasterol (7). The inhibitory activities against free radical, starch, and bacteria for major compounds were tested by using DPPH, α-glucosidase and minimum inhibitory and bacterial concentration assays, respectively. No promising antioxidant activity was shown on tested samples except methanolic crude extract. For antidiabetic activity, methanolic and dichloromethane crude extracts displayed potent activity compared to 1-deoxynojirimycin. Minimum inhibitory concentration (MIC) and minimum bacterial concentration (MBC) assays for antibacterial activity were evaluated on Escherichia coli, Staphylococcus aureus, and Bacillus subtilis. All crude extracts and major compounds displayed weak and no promising activities for MIC method, respectively. Meanwhile, for MBC method, hexane crude extract and compound 1 showed inhibition against B. subtilis.

The Plant Family Ericaceae (“Blueberries”) in Ecuador: Ecology, Diversity, Economic Importance, and Conservation

The approximately 218 species of the plant family Ericaceae found in Ecuador are generally discussed and characterized as to their biodiversity, economic importance, conservation, and taxonomy.