Artificial intelligence in timber forensics employing DNA barcode database.

Extreme difficulties in species identification of illegally sourced wood with conventional tools have accelerated illicit logging activities, leading to the destruction of natural resources in India. In this regard, the study primarily focused on developing a DNA barcode database for 41 commercial timber tree species which are highly vulnerable to adulteration in south India. The developed DNA barcode database was validated using an integrated approach involving wood anatomical features of traded wood samples collected from south India. Traded wood samples were primarily identified using wood anatomical features using IAWA list of microscopic features for hardwood identification. Consortium of Barcode of Life (CBOL) recommended barcode gene regions (rbcL, matK & psbA-trnH) were employed for developing DNA barcode database. Secondly, we employed artificial intelligence (AI) analytical platform, Waikato Environment for Knowledge Analysis (WEKA) for analyzing DNA barcode sequence database which could append precision, speed, and accuracy for the entire identification process. Among the four classification algorithms implemented in the machine learning algorithm (WEKA), best performance was shown by SMO, which could clearly allocate individual samples to their respective sequence database of biological reference materials (BRM) with 100 % accuracy, indicating its efficiency in authenticating the traded timber species. Major advantage of AI is the ability to analyze huge data sets with more precision and also provides a large platform for rapid authentication of species, which subsequently reduces human labor and time. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03604-0.

Draft genome of Korthalsia laciniosa (Griff.) Mart., a climbing rattan elucidates its phylogenetic position.

Korthalsia laciniosa (Griff.) Mart. is a climbing rattan used as a source of durable and flexible cane. In the present study, the draft genome of K. laciniosa was sequenced, de novo assembled and annotated. Genome-wide identification of MADS-Box transcription factors revealed loss of Mß, and Mγ genes belonging to Type I subclass in the rattan lineage. Mining of the genome revealed presence of 13 families of lignin biosynthetic pathway genes and expression profiling of nine major genes documented relatively lower level of expression in cirrus when compared to leaflet and petiole. The chloroplast genome was re-constructed and analysis revealed the phylogenetic relatedness of this genus to Eugeissona, in contrast with its present taxonomic position. The genomic resource generated in the present study will accelerate population structure analysis, genetic resource conservation, phylogenomics and facilitate understanding the unique developmental processes like gender expression at molecular level.

DNA barcoding supports existence of morphospecies complex in endemic bamboo genus Ochlandra Thwaites of the Western Ghats, India.

Ochlandra Thwaites, an economically exploited bamboo genus of the Western Ghats of India is severely affected by unsustainable extraction, natural habitat destruction and endangerment of species resources. This taxonomically challenging genus consists of a genetic mixture of 10 related polyploid species that are difficult to define and classify using traditional morphology. The present study investigated the probability of DNA barcoding using seven standard barcode regions recommended by CBOL as a supplementary tool to define true species boundaries. Distance (MEGA v.6.0) and sequence similarity (TaxonDNA) based approaches highlighted the discriminatory power of psbA-trnH intergenic spacer barcode region, but did not support true species entities. Neighbour-joining and Bayesian inference trees supported the existence of morphospecies complex in seven species of the genus owing to weak reproductive barriers amongnaturally coexisting species. Morphological affinities existing within genus might have stemmed from natural interspecific hybridization events and consequent reticulate evolution in morphospecies complex of genus Ochlandra.

DNA barcoding as a valuable molecular tool for the certification of planting materials in bamboo.

DNA barcodes developed for selected commercially important bamboo species can be utilized for the certification of planting stock in bamboo nurseries in absence of discriminatory features at the juvenile stage. Planting materials such as micropropagated plantlets, rhizome transplants and culm cuttings, generated at nursery level are directly procured for establishment of commercial plantations without any further verification. Very often misidentification and mixing up occur at nursery level and the error is not discovered until several years have passed. The present study evaluated the potentiality of seven Consortium for Barcode of Life (CBOL) recommended standard DNA barcode regions in commercially important bamboo species of India. Among the analyzed barcode regions, multiple sequence alignment (MSA) of psbA-trnH barcode region showed species-specific nucleotide differences in the studied bamboo taxa. The major nucleotide changes observed were transitions/transversions as well as insertions/deletions of nucleotides. Even though species-specific mononucleotide differences could be identified for most of the studied bamboo taxa, a small amount of sequence similarities were found in some of the Dendrocalamus and Bambusa species, which were grouped together in tree-based analysis. In subtribe Melocanninae, Ochlandra travancorica, Melocanna baccifera and M. clarkei showed unique species-specific psbA-trnH barcodes. Similarly, in the genus Oxytenanthera, unique species-specific psbA-trnH barcodes were obtained for O. monadelpha and O. parvifolia. Thus psbA-trnH barcode region generated distinct species-specific barcodes for commercial bamboo species in genera Bambusa, Dendrocalamus, Melocanna, Oxytenanthera as well as Ochlandra. Any national certification agency set up for the purpose can utilize psbA-trnH DNA barcode region to tag species identity and to establish the authenticity of multiplied planting materials in bamboos.

Narrow gene pool can threaten the survival of Calamus nagbettai R. R. Fernald & Dey: a highly, endemic dioecious rattan species in the Western Ghats of India.

Rattans, the spiny climbing palms of Arecaceae (Palmae) family exhibit high endemism to the biodiversity hot spots in India. Of the five rattan genera, Calamus is the only genus found in peninsular India with 15 of 21 species, endemic to the Western Ghats. The extensive utilization of rattans owing to their strength, durability and huge demand has resulted in depletion of their natural resources. Of the 15 endemic species, C. nagbettai is the most affected species on account of endemism, low population size and restricted distribution with fragmented populations. The present study revealed high amount of genetic diversity in the surviving scattered populations of the species using microsatellite markers. High gene flow (Nm = 1.498) observed across the populations resulted in low genetic differentiation (14%). A clear genetic admixture could be seen in Kerala as well as one of the Karnataka's populations while the remaining two populations were genetically distinct. UPGMA, PCoA and STRUCTURE analyses showed significantly different genetic composition in Kerala population compared to other populations. Kerala and Karnataka populations of C. nagbettai were also unique in their genetic structure and allelic composition. Therefore, effective management and conservation strategies have to be implemented to preserve the rarealleles with adaptive potential to protect this economically valuable Calamus species from endangerment. Over exploitation, low seed set and poor regeneration, as well as habitat fragmentation can further threaten the survival of this endemic, narrowly distributed dioecious rattan species in the Western Ghats region.

Genetic Diversity Assessment of Rarely Cultivated Traditional Indica Rice (Oryza sativa L.) Varieties.

Random amplified polymorphic DNA fingerprinting was performed to assess the genetic diversity among rarely cultivated traditional indica rice (Oryza sativa L.) varieties collected from a tribal hamlet of Kerala State, India. A total of 664 DNA bands amplified by 15 primers exhibited 72.9% polymorphism (an average of 32.3 polymorphic bands per primer). The varieties Jeerakasala and Kalladiyaran exhibited the highest percent (50.19%) polymorphism, while Thondi and Adukkan showed the lowest (9.85%). Adukkan (78 bands) and Jeerakasala (56 bands) yielded the highest and the lowest number of amplicons, respectively. Unweighted Pair Group Method with Arithmetic mean analysis using the Dice similarity coefficient showed the highest value of similarity coefficient between the varieties Adukkan and Thondi, both shared higher level of similarity (0.81), followed by Kanali and Thondi (0.88). Of the three subclusters, the varieties of Adukkan, Thondi, Kanali, Mannuveliyan, Thonnuranthondi, and Chennellu grouped together with a similarity of 0.77. The second group represented by Navara, Gandhakasala, and Jeerakasala with a similarity coefficient of 0.76 formed a cohesive group. The variety Kalladiyaran formed an isolated position that joined the second cluster. The Principal Coordinate Analysis also showed separation of Kalladiyaran from the other varieties.

Development and validation of a headspace gas chromatographic method for the determination of residual solvents in arterolane (RBx11160) maleate bulk drug.

OBJECTIVE: Arterolane maleate is an antimalarial drug currently under Phase III clinical evaluation, and presents a simple, economical and scalable synthesis, and does not suffer from safety problems. Arterolane maleate is more active than artemisinin; and is cheap to produce. It has a longer lifetime in the plasma, so it stays active longer in the body. To provide quality control over the manufacture of any API, it is essential to develop highly selective analytical methods. In the current article we are reporting the development and validation of a rapid and specific Head space gas chromatographic (HSGC) method for the determination of organic volatile impurities (residual solvents) in Arterolane Maleate bulk drug. MATERIALS AND METHODS: The method development and its validation were performed on Perkin Elmer's gas chromatographic system equipped with Flame Ionization detector and head space analyzer. The method involved a thermal gradient elution of ten residual solvents present in arterolane maleate salt in RTx-624, 30 m × 0.32 mm, 1.8 µ column using nitrogen gas as a carrier. The flow rate was 0.5 ml/min and flame ionization detector (FID) was used. RESULTS: During method validation, parameters such as precision, linearity, accuracy, limit of quantification and detection and specificity were evaluated, which remained within acceptable limits. CONCLUSIONS: The method has been successfully applied for the quantification of the amount of residual solvents present in arterolane maleate bulk drug.The method presents a simple and reliable solution for the routine quantitative analysis of residual solvents in Arterolane maleate bulk drug.