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Amaranthus

Amaranthus is a diverse genus of annual or perennial herbaceous plants, commonly known as amaranths.
These plants are valued for their nutritious grains, leaves, and stems, and are cultivated around the world.
Amaranthus species exhibit a remarkable range of colors, shapes, and growth habits, making them popular ornamental and food crops.
Whether you're studying Amaranthus for its agricultural potential, nutritional properties, or botanical diversity, PubCompare.ai can help you optimize your research by providing access to the best protocols and most effective approaches from the literatur, preprints, and patents.
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Most cited protocols related to «Amaranthus»

Transcriptome Analysis of Amaranth under Stress

Seeds of Amaranthus hypochondriacus cultivar Revancha and of accession 38040 (origin: India) were kindly provided by E. Espitia (INIFAP, México) and D. Brenner (USDA, Iowa State University, Ames, IA), respectively. Seeds were germinated in 60-well germinating trays filled with a sterile soil preparation composed of a general soil mixture (three parts Sunshine Mix 3TM [SunGro Horticulture, Bellevue, WA], one part loam, two parts mulch, one part vermiculite [SunGro Hort] and one part perlite [Termolita S.A., Nuevo León, México] and coconut paste [Hummert de México, Morelos, México] in a 1:1 v/v relation). The trays were maintained in a growth chamber kept at 26°C, ≈75% R.H. and with a 16: 8 h light (at approximately 300 μmol m^-2s^-1) dark photoperiod. Amaranth plantlets were subsequently transplanted to 1.3-L plastic pots, containing sterile general soil mixture, 21 days after germination. They were fertilized once, one week after transplant, with a 20:10:20 (N: P: K) nutrient soil drench solution according to the manufacturer's instructions (Peters Professional; Scotts-Sierra Horticultural Products, Marysville, OH, USA). Plants having six expanded leaves were employed for experimentation. Total RNA was obtained from leaves (A. hypochondriacus cv. Revancha) or pigmented stems (A. hypochondriacus India 38040) using the Trizol reagent (Invitrogen Corp., Carlsbad, CA, USA) as instructed, treated with RNAase-free DNAase and re-purified with the RNeasy kit (Qiagen, Valencia, CA, USA) following the manufacturer's protocol. Different sources of RNA were used to generate the six cDNA libraries employed for pyrosequencing runs: i) leaves of intact plants grown under natural greenhouse conditions in the summer of 2009 (Source 1, S1) ; ii) pooled damaged leaf tissue from plants subjected to herbivory for 1, 4 and 12 h (≈20% maximum leaf-tissue loss) by larvae of the salt marsh caterpillar Estigmene acrea (S2); iii ) leaves of noticeably wilted plants resulting from the drought-stress imposed after withholding watering for 3 days (S3) (drought-stress was most probably caused by the confinement of the treated plants in pots, which impeded taproot elongation, a known morphological response to drought in amaranth [see above]), and iv) leaves of plants, showing increased thickness and coarser leaf texture as a result of the acute salt-stress produced by watering the plants for three straight days with 100 ml of a 400 mM NaCl solution, (S4). Leaf material was also obtained from leaves of plants infected with Pseudomonas argentinensis, a bacterial amaranth pathogen, as described previously [51 ] (S5) and from pigmented (red) stem tissue of un-stressed 38040 plants (S6). RNA source S1 to S5 were obtained exclusively from plants of the Revancha cultivar.

Délano-Frier J.P., Avilés-Arnaut H., Casarrubias-Castillo K., Casique-Arroyo G., Castrillón-Arbeláez P.A., Herrera-Estrella L., Massange-Sánchez J., Martínez-Gallardo N.A., Parra-Cota F.I., Vargas-Ortiz E, & Estrada-Hernández M.G. (2011). Transcriptomic analysis of grain amaranth (Amaranthus hypochondriacus) using 454 pyrosequencing: comparison with A. tuberculatus, expression profiling in stems and in response to biotic and abiotic stress. BMC Genomics, 12, 363.

Publication 2011

Amaranth Dye Amaranthus Bacteria cDNA Library Coconut Deoxyribonucleases Droughts Endoribonucleases Germination Grafts Herbivory Larva Light Marijuana Abuse Marshes Mineralocorticoid Excess Syndrome, Apparent Nutrients Pastes Pathogenicity Perlite Plant Embryos Plant Leaves Plants Pseudomonas argentinensis Salt Stress Sodium Chloride Stem, Plant Sterility, Reproductive Sunlight Tissues trizol vermiculite

Quantifying Phenolic Compounds in Amaranthus

Sarker and Oba^{27 (link)} method was followed to determine flavonoids and phenolic acids using HPLC in red and green Amaranthus leaf samples. A variable Shimadzu SPD-10Avp UV–vis detector, LC-10Avp binary pumps, and a degasser (DGU-14A) were equipped with the HPLC system (Shimadzu SCL10Avp, Kyoto, Japan). A CTO-10AC (STR ODS-II, 150 × 4.6 mm I.D., Shinwa Chemical Industries, Ltd., Kyoto, Japan) column was used to separate phenolic acids and flavonoids. 6% (v/v) acetic acid in water (solvent A) and acetonitrile (solvent B) were pumped the binary mobile phase at a flow rate of 1 ml/min for a total run time of 70 min. a gradient program was used to run the system with 0–15% B for 45 min, 15–30% B for 15 min, 30–50% B for 5 min and 50–100% B for 5 min with the column temperature was maintained at 35 °C and the injection volume 10 μl. For simultaneous monitoring of benzoic acids, cinnamic acids and flavonoids, the detector was set at 370, 360, 254, and 280 nm. We compared retention time and UV–vis spectra with standards to identified the compound. The mass spectrometry assay method was used to confirm phenolic acids and flavonoids. HPLC quantified the sum total of all phenolic acids and flavonoids was denoted as the total phenolic index (TPI). The method described by Sarker and Oba^{27 (link)} was used to TPI from the HPLC data. All samples were prepared and analyzed in duplicate. The results were expressed as µg g⁻¹ fresh weight (FW).
A JEOL AccuTOF (JMS-T100LP, JEOL Ltd., Tokyo, Japan) mass spectrometer fitted with an Agilent 1100 Series HPLC system and a UV–vis detector coupled on-line with an ElectroSpray Ionization (ESI) source to analyze the mass spectrometry with negative ion mode. The column elutes were recorded in the range of m/z 0–1000. Needle voltage was kept at −2000 V. The chromatographic conditions were optimized to obtain chromatograms with good resolution of adjacent peaks, for which a slight modification was made in the method reported by Sarker and Oba^{27 (link)}. Extract constituents were identified by LC-MS-ESI analysis.

Sarker U, & Oba S. (2019). Antioxidant constituents of three selected red and green color Amaranthus leafy vegetable. Scientific Reports, 9, 18233.

Publication 2019

Acetic Acid acetonitrile Amaranthus Benzoic Acids Biological Assay Chromatography cinnamic acid Flavonoids High-Performance Liquid Chromatographies hydroxybenzoic acid Mass Spectrometry Needles Plant Leaves Retention (Psychology) Solvents

Transcriptome and Genome Sequence Analysis of Quinoa

To analyse the relationship between the transcriptome and the quinoa genome sequences, we mapped a de novo assembly of transcriptome sequences against Cqu_r1.0. De novo assembly was conducted using the software tools Velvet v1.2.10 and Oases v0.2.08.⁴¹ (link)^,⁴² (link) A multi-kmer approach was applied. In this approach, separate kmers are first assembled (kmers 59, 69, 79, 89) and then the set of assemblies is merged into a single ‘merged’ assembly (kmer 29). The assembled transcripts were clustered based on sequence identity (≥99%) using the software CD-HIT-EST v4.6.⁴³ (link) These transcripts were mapped against the genome sequence (Cqu_r1.0) using GMAP v2016-05-01 software⁴⁴ (link) with the threshold option of ≥95% identity and ≥80% coverage.
RNA-Seq reads were mapped onto the draft genome sequence (Cqu_r1.0) with TopHat 2.0.12.⁴⁵ (link) The bam file obtained was used to generate the training set for the gene prediction of BRAKER1 pipeline.⁴⁶ (link) Using the training set, the genes were predicted by Augustus 3.0.3.⁴⁷ (link) The RNA-Seq reads were mapped onto the predicted genes, and splicing variants were excluded by RSEM 1.2.15.⁴⁸ (link) The predicted genes in the quinoa genome together with those in S. oleracea (Spinach-1.0, 21,702 genes), B. vulgaris (RefBeet-1.1, 27,421 genes), Amaranthus hypochondriacus (AhG2s, 30,564 genes), and A. thaliana genomes (TAIR10, 35,386 genes) were clustered using the CD-HIT program⁴³ (link) with the parameters c = 0.4 and aL = 0.4.
The predicted genes were subjected to similarity searches against the NCBI NR database (ftp://ftp.ncbi.nlm.nih.gov/blast/db/FASTA/nr.gz) and amino acid sequences of A. thaliana from TAIR10 (https://www.arabidopsis.org) using BLASTX with an E-value cutoff of 1E-10. The top hit was used to assign the product name. BLAST searches against UniProt (TrEMBL + Swiss-Prot) with an E-value cut-off of 1E-20 were also carried out. A domain search against InterPro (http://www.ebi.ac.uk/interpro/) was conducted using InterProScan⁴⁹ (link) with an E-value cutoff of 1.0. Finally, genes were classified based on the NCBI euKaryotic clusters of Orthologous Groups (KOG) database⁵⁰ (link) by performing BLAST searches with an E-value cutoff of 1E-4. In addition, the genes were mapped onto the KEGG reference pathways by BLAST searches against the KEGG GENES database (http://www.genome.jp/kegg/genes.html) with an E-value cut-off of 1E-4, length of coverage of 25%, and identity of 50%.
Genes related to transposable elements (TEs) were inferred based on a BLAST search against the NCBI NR database and conserved domains were identified based on a search against InterPro and GyDB 2.0⁵¹ (link) using hmmsearch in HMMER 3.0⁵² (link) with an E-value cutoff of 1.0. Transfer RNA genes (tRNAs) were predicted using tRNAscan-SE v.1.23.⁵³ (link) Ribosomal RNA genes (rRNAs) were predicted in BLASTN searches with an E-value cutoff of 1E-10 using A. thaliana 5.8S and 25S rRNAs (Accession number: X52320.1) and 18S rRNA (Accession number: X16077.1) as queries.

Yasui Y., Hirakawa H., Oikawa T., Toyoshima M., Matsuzaki C., Ueno M., Mizuno N., Nagatoshi Y., Imamura T., Miyago M., Tanaka K., Mise K., Tanaka T., Mizukoshi H., Mori M, & Fujita Y. (2016). Draft genome sequence of an inbred line of Chenopodium quinoa, an allotetraploid crop with great environmental adaptability and outstanding nutritional properties. DNA Research: An International Journal for Rapid Publication of Reports on Genes and Genomes, 23(6), 535-546.

Publication 2016

Amaranthus Amino Acid Sequence Arabidopsis CREB3L1 protein, human DNA Transposable Elements Eukaryota Genes Genome Quinoa Ribosomal RNA Ribosomal RNA Genes RNA, Ribosomal, 18S RNA, ribosomal, 25S RNA-Seq Spinach Transcriptome Transfer RNA

Amaranthus hypochondriacus Genome GBS Analysis

The raw sequence data was analyzed with the GBS discovery pipeline in TASSEL software (Glaubitz et al., 2014 (link)). The FASTQ raw files and sample key files, with information of plate layout and bar codes for each genotype, were used to construct a GBS database for the identification of SNPs. Only the sequence reads containing bar code sequence followed by the sticky end sequence of an ApeKI restriction enzyme cut site (CWGC) were trimmed to 64 bases and stored in the European Bioinformatics Institute (EBI) database (accession number pending).
Reads that had no matching barcode or cut site remnant were excluded from the analysis, as well as reads containing unidentified bases (N) and reads with adapter dimers. Subsequently, the bar-coded sequence reads with tags present more than three times were sorted and collapsed into unique sequence tags with position information, and then aligned with the DOE-JGI sponsored database for the Amaranthus hypochondriacus genome v2.1 as described in Lightfoot et al. (2017) (link) and found at http://phytozome.jgi.doe.gov/. The Burrows-Wheeler Aligner (BWA) algorithm (Li and Durbin, 2009 (link)) was used for genome alignment to that assembly. As a setting in this software, only the tags with a perfect match to reference genome were called for SNP discovery. We also used a no-references genome approach, using UNEAK subprogram in TASSEL; however, we get fewer useful SNPs than if we use the reference genome. All newly-discovered SNPs were scored for coverage, depth and genotypic information. The quality score of 10 was applied for the validation of any given locus. Average unique SNP frequency was calculated per accession in each species group due to the uneven number of accessions composing each species group.

Wu X, & Blair M.W. (2017). Diversity in Grain Amaranths and Relatives Distinguished by Genotyping by Sequencing (GBS). Frontiers in Plant Science, 8, 1960.

Publication 2017

Amaranthus DNA Restriction Enzymes Europeans Genome Genotype Tassel

Lectin Identification in Rice Genomes

Protein sequences encoding the reference members of the different lectin families [Agaricus bisporus agglutinin (ABA), Q00022.3; Amaranthus caudatus agglutinin (amaranthin), AAL05954.1; Robinia pseudoacacia chitinase-related agglutinin (CRA), ABL98074.1; Nostoc ellipsosporum agglutinin (cyanovirin), P81180.2; Euonymus europaeus agglutinin (EUL), ABW73993.1; Galanthus nivalis agglutinin (GNA), P30617.1; Hevea brasiliensis agglutinin (hevein), ABW34946.1; Artocarpus integer agglutinin (JRL), AAA32680.1; Glycine max agglutinin (legume lectin), P05046.1; Brassica juncea LysM domain (LysM), BAN83772.1; Nicotiana tabacum agglutinin (nictaba), AAK84134.1; Ricinus communis agglutinin lectin chain (ricin-B), 2AAI_B] were used to perform BLAST searches against the Oryza sativa subsp. japonica genome (RGAP release 7) available from NCBI (https://blast.ncbi.nlm.nih.gov), MSU (Kawahara et al. 2013 (link)) and phytozome (https://phytozome.jgi.doe.gov), as described previously by Van Holle and Van Damme (2015 (link)). Top hits were used for a consecutive BLAST search. In addition the MSU database (Kawahara et al. 2013 (link)) was searched using the Pfam domain identifier [ABA: PF07367 (fungal fruit body lectin); amaranthin: PF07468 (agglutinin domain); CRA: PF00704 (glycol-hydro 18); cyanovirin: PF08881 (CVNH); EUL: PF14200 (ricin-lectin 2); GNA: PF01453 (B-lectin); hevein: PF00187 (chitin bind 1); JRL: PF01419 (jacalin); legume lectin: PF00139 (lectin legB); LysM: PF01476 (LysM domain); nictaba: PF14299 (PP2); ricin-B: PF00652 (ricin-B lectin)] of the different lectin domains. Protein sequences were downloaded from MSU (Kawahara et al. 2013 (link)) and screened for the presence of conserved protein domains using interproscan 5 (Mitchell et al. 2015 (link)). The program was downloaded (https://www.ebi.ac.uk/interpro/download/) and locally installed. Indica lectins were identified by BLAST searches with the lectin domains of the japonica hits against the indica rice genome (ASM465v1) available from EnsemblPlants (http://plants.ensembl.org). As for the japonica sequences, these protein sequences were analyzed for the presence of conserved protein domains using Interproscan 5 (Mitchell et al. 2015 (link)). Only sequences with at least one lectin domain were retained. The protein sequences of the lectins were analyzed for the presence of signal peptides using SignalP 4.1 (Petersen et al. 2011 (link)) and the presence of transmembrane domains was analyzed using TMHMM 2.0 (Krogh et al. 2001 (link)).

De Schutter K., Tsaneva M., Kulkarni S.R., Rougé P., Vandepoele K, & Van Damme E.J. (2017). Evolutionary relationships and expression analysis of EUL domain proteins in rice (Oryza sativa). Rice, 10, 26.

Publication 2017

Agaricus bisporus var. albidus Agglutinins Amaranthus Amino Acid Sequence Artocarpus Brassica juncea Chitin Chitinases D-Ala(2),MePhe(4),Met(0)-ol-enkephalin Evonymous europa lectin Fabaceae Family Member Fruit Genome Glycols Hevea brasiliensis hevein Human Body jacalin Lectin Nicotiana tabacum Nostoc ellipsosporum Nucleus, Caudate Oryza sativa Plants Protein Domain rGAP Rice Ricin Ricinus communis agglutinin Robinia pseudoacacia Signal Peptides snowdrop lectin soybean lectin

Most recents protocols related to «Amaranthus»

Plasmid Synthesis and Cloning

Not available on PMC !

Example 1

All nucleic acid coding sequence and all single and double mutants based on SEQ ID NO: 1, 3, 5, 7, 9, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, were synthesized and cloned by Geneart (Geneart AG, Regensburg, Germany). Rational design mutants were synthesized by Geneart. Random PPO gene libraries were synthesized by Geneart. Plasmids were isolated from E. coli TOP10 by performing a plasmid minpreparation and confirmed by DNA sequencing.

US11866720B2. Transgenic or non-transgenic plants with mutated protoporphyrinogen oxidase having increased tolerance to herbicides (2024-01-09). BASF AGRO B.V. [NL]. Inventors: Raphael Aponte [DE], Stefan Tresch [DE], Matthias Witschel [DE], Jens Lerchl [DE], Dario Massa [DE], Tobias Seiser [DE], Thomas Mietzner [DE], Jill Marie Paulik [US], Chad Brommer [US].

Patent 2024

Amaranthus Escherichia coli Gene Library Mutagenesis, Site-Directed Plasmids

Amaranthus Heat and Drought Stress

Amaranthus spp. (A. caudatus, A. hypochondricus, A. cruentus and A. spinosus) were seeded and maintained as previously described [33 (link)], and at the six-leaf stage after germination different temperature regimes ranging from 30 to 40 °C were introduced as the various heat stress treatment groups with plants at 26 °C as the control group. Although other C₄ species are able tolerate temperatures up to 45 °C [50 (link)] 40 °C was used as the maximum temperature regime due to an irreversible damage of PSII structure observed at 40 °C under drought stress on Amaranthus species tested [33 (link)] Water was withheld for 7 days to induce drought stress (10% field capacity). Soil water content, conductivity and temperature were monitored every 60 min by ECH₂O Data Logger (Model DEm50, Decagon Devices, Pullman, WA, USA) with soil moisture probes. Experiments were repeated three to five times (n), with three replicates for each species.

Netshimbupfe M.H., Berner J., Van Der Kooy F., Oladimeji O, & Gouws C. (2023). Influence of Drought and Heat Stress on Mineral Content, Antioxidant Activity and Bioactive Compound Accumulation in Four African Amaranthus Species. Plants, 12(4), 953.

Publication 2023

Amaranthus Droughts Electric Conductivity Germination Heat Stress Disorders Medical Devices Nucleus, Caudate Plant Leaves Plants

Amaranthus Leaf Extraction and Phytochemical Analysis

Amaranthus dried and crushed leaf samples (1.5 g) were combined with 30 mL of 80% [v/v] methanol [28 (link),51 ,52 (link)]. Aqueous extract was prepared by combining 1.5 g of sample with 30 mL of water. The extraction was carried out on a Eumax Ultrasonic bath for 1 h at room temperature for both methanol and aqueous extracts. The mixtures were centrifuged at 4000 rpm for 10 min. The supernatants were filtered through a 0.45 µm PTFE membrane filter.
Methanol was evaporated using a rotary evaporator (BUCHI Rotavapor^® R-300, BÜCHI Labortechnik AG, 9230 Flawil, Switzerland). The methanol extract was concentrated using a SpeedVac concentrator (Thermo Scientific™ Savant™ SpeedVac Concentrator SPD121P 115, Waltham, MA, USA).
The collected filtrate of the aqueous extract was frozen overnight at −80 °C and the frozen extract was freeze-dried using a Virtis freeze dryer (SP Scientific, Gardiner, NY, USA). The dried extracts were kept at 4 °C and they were used as crude extracts for analyses of total phenolic content (TPC), total flavonoid content (TFC) and total antioxidant activity (TAC). All extractions were performed in triplicate using independent samples.

Publication 2023

Amaranthus Antioxidant Activity Bath Complex Extracts Flavonoids Freezing Methanol Plant Leaves Polytetrafluoroethylene Tissue, Membrane Ultrasonics

HPLC-DAD and HPLC-MS/MS Analysis of Amaranthus Extracts

100 mg of methanol and freeze-dried aqueous extracts were each separately dissolved in 1.5 mL of 99.9% methanol (HPLC grade). The samples were filtered with 0.45 µm syringe filters. The filtrate was used to analyse the phenolic and flavonoid compounds of the Amaranthus extracts using a HPLC-DAD Shimadzu system (Shimadzu, Kioto, Japan), consisting of a LC-2040 controller, DGU-403/405 degasser, LC-2040/C pump, LC-2040 autosampler, variable Shimadzu SPD-M30A diode array detector (DAD) and LC-2040 column oven. Phenolic and flavonoid reference compounds were injected (10 µL) into Venusil XBP C18 (2.1 × 100 mm, particle size 3 µm, Agilent, Santa Clara, CA, USA). The binary mobile phase consisted of solvents A (0.1% [v/v] of formic acid in water) and B (0.1% [v/v] of formic acid in acetonitrile) at a flow rate of 0.25 mL/min for a total run of 30 min. The system was run with the gradient program of 0–30 min starting with 10% B at time 0–4 min, 10–100% B at time 4–20 min, 100% B at time 20–25 min, 100–10% B at time 25–25.5 min and 10% B at time 25.5–30 min. The oven temperature was maintained at 40 °C and the detector wavelength ranged from 190–500 nm. Individual phenolic and flavonoid compound content in the leave extract was expressed on the basis of the calibration curve of the corresponding standards. The results were recorded as µg/g dry weight (DW).
Extracted compounds were identified through HPLC-MS/MS analysis that was carried out using a liquid chromatography (LC) system fitted with an Agilent 1260 Series HPLC-MS system (Agilent, Santa Clara, CA, USA) coupled with an Ultivo triple-quadrupole mass spectrometer (Ultivo LC/TQ LC-MS/MS system, Agilent, Santa Clara, CA, USA). The MS/MS operating conditions were set as follows: Nitrogen gas flow rate of 13 L/min at 350 °C, capillary voltage of 3000 V for both negative and positive ionisation, nebulizer pressure of 60 psi, and an ElectroSpray Ionization (ESI) source with polarity switching was used and a scan range of 100–1000 m/z was used.

Publication 2023

acetonitrile Amaranthus Capillaries Flavonoids formic acid Freezing High-Performance Liquid Chromatographies Liquid Chromatography Methanol Nebulizers Nitrogen-13 Pressure Radionuclide Imaging Solvents Syringes Tandem Mass Spectrometry Z-100

Comprehensive Nutritional Analysis of Amaranth

Raw amaranth (Amaranthus hybridus chlorostachys) grains were supplied by Darvash Giah Khazar medicinal herbs complex company (Ltf) (Gilan, Rasht, Iran), after a preliminary analysis of grain chemical composition as reported in our previous studies [8 (link),41 ] (Hosseintabar-Ghasmabad et al., 2020, Janmohammadi et al., 2022). In order to complete the nutritional analyses of amaranth, in the present study, squalene (method IOC, 2011) and phytosterols [42 (link),43 ] (Takatsuto and Abe, 1992; Bhandari et al., 2012) were determined via gas chromatography (model 6100, Younglin, Republic of Korea), while tocopherols were evaluated by RP-HPLC (Younglin Acme 9000 model, Republic of Korea) and a dual-channel fluorescence detector (Jasco FP-4025 model, Japan), as reported in Table 3. The enzyme blend used in this trial was Natuzyme P50 (Bioproton Pty Ltf., Sunny bank, QLD, Australia). Enzyme constituents and their respective activity (U/g) per kilogram of diet were as follows: xylanase 10⁷, cellulase 5 × 10⁶, pectinase 5 × 10⁴, and β-glucanase 10⁶, which is of Trichoderma reesei of fungal origin, and it included Trichoderma longibachiatum and α-amylase from Bacillus subtilis, and protease 6 × 10⁶ and phytase 5 × 10⁵ from Aspergillus niger.

Janmohammadi H., Hosseintabar-Ghasemabad B., Oliyai M., Alijani S., Gorlov I.F., Slozhenkina M.I., Mosolov A.A., Suarez Ramirez L., Seidavi A., Laudadio V., Tufarelli V, & Ragni M. (2023). Effect of Dietary Amaranth (Amaranthus hybridus chlorostachys) Supplemented with Enzyme Blend on Egg Quality, Serum Biochemistry and Antioxidant Status in Laying Hens. Antioxidants, 12(2), 456.

Publication 2023

Amaranth Dye Amaranthus Amylase Aspergillus niger Bacillus subtilis Cellulase Cereals Diet Enzymes Fluorescence Gas Chromatography Genes, Fungal High-Performance Liquid Chromatographies Medicinal Herbs Peptide Hydrolases Phytase Phytosterols Polygalacturonase Squalene Tocopherol Trichoderma Trichoderma reesei

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What are the different types or varieties of Amaranthus?

Amaranthus is a highly diverse genus, with over 70 species that exhibit a remarkable range of colors, shapes, and growth habits. Some of the most common types include grain amaranths (e.g., Amaranthus cruentus, Amaranthus hypochondriacus), leafy amaranths (e.g., Amaranthus tricolor, Amaranthus blitum), and ornamental amaranths (e.g., Amaranthus caudatus, Amaranthus gangeticus). These different varieties offer a variety of nutritional and aesthetic properties, making Amaranthus a versatile crop for both food and ornamental purposes.

What are the common uses and applications of Amaranthus?

Amaranthus is a highly versatile plant with numerous applications. The nutrient-rich grains are used to make flour, cereals, and even gluten-free alternatives to wheat. The leaves and stems are also edible and can be consumed as a leafy vegetable, providing a good source of vitamins, minerals, and antioxidants. Additionally, Amaranthus species are often used as ornamental plants, with their vibrant colors and unique foliage making them popular in gardens and landscaping. Some varieties are even used in animal feed or as a source of natural dyes.

What are some of the challenges or considerations when working with Amaranthus?

One of the main challenges with Amaranthus is the diversity of the genus, which can make it difficult to identify the optimal cultivar or variety for a specific application. Additionally, some Amaranthus species can be invasive or difficult to control, particularly in agricultural settings. Proper management and cultivation techniques are important to ensure optimal growth and productivity. Researchers may also face challenges in comparing the effectiveness of different protocols or approaches when working with Amaranthus, as the natural variability of the plant can impact experimental results.

How can PubCompare.ai help with Amaranthus research?

PubCompare.ai is a powerful tool that can assist researchers working with Amaranthus in several ways. First, the platform allows you to more efficiently screen the literature for relevant protocols and approaches, saving time and enabling you to focus on the most promising options. Seconly, the AI-driven analysis provided by PubCompare.ai can help you identify critical insights and pinpoint the most effective protocols for your specific research goals, improving reproducibility and accuracy. By leveraging the platform's AI-driven comparisons, you can choose the best protocols and approaches for your Amaranthus projects, streamlining your research and taking your work to new heights.

More about "Amaranthus"

Amaranthus, also known as pigweed or love-lies-bleeding, is a diverse genus of annual or perennial herbaceous plants that are highly valued for their nutritious grains, leaves, and stems.
These resilient plants are cultivated around the world and exhibit a remarkable range of colors, shapes, and growth habits, making them popular as both ornamental and food crops.
Whether you're studying Amaranthus for its agricultural potential, nutritional properties, or botanical diversity, it's important to have access to the most effective research protocols and approaches.
PubCompare.ai, an AI-driven platform, can help you streamline your Amaranthus projects and optimize your research.
By leveraging AI-driven comparisons, PubCompare.ai can help you identify the best protocols and most effective methods from the literature, preprints, and patents.
This can save you time and resources, allowing you to focus on the most promising avenues of research.
In addition to the insights gained from PubCompare.ai, there are a variety of other tools and techniques that can be useful in Amaranthus research.
For example, the ENGENIA® system can be used for precise spectrophotometric analysis, while sodium hydroxide, hydrochloric acid, and other common laboratory reagents can be employed in various extraction and analysis procedures.
Ulttraviolet-visible (UV-1800) spectrophotometry, amylose/amylopectin assays, and laboratory milling equipment (e.g., Laboratory Mill 120) can also be valuable in characterizing the chemical composition and physical properties of Amaranthus samples.
By combining the power of PubCompare.ai with these other research tools and techniques, you can unlock the full potential of Amaranthus and take your projects to new heights.
Whether you're interested in its nutritional value, agricultural applications, or botanical diversity, the insights and resources available can help you achieve your research goals.