Tree Construction Research Articles

Functional genomic analysis of the isolated potential probiotic Lactobacillus delbrueckii subsp. indicus TY-11 and its comparison with other Lactobacillus delbrueckii strains.

This study aimed to conduct functional genomic analysis to uncover the probiotic potential of Lactobacillus delbrueckii subsp. indicus TY-11 isolated from native yogurt in Bangladesh. We also performed transmission electron microscopic (TEM) analysis, comparative genomic study as well as phylogenetic tree construction with 332 core genes from 262 genomes. In our current investigation, we revealed a number of common and unique excellences of the probiotic Lactobacillus delbrueckii subsp. indicus TY-11 that are likely to be important to illustrate its intestinal residence and probiotic roles. This is the first study to explore the molecular insights into intestinal residence and probiotic roles, including antimicrobial activities and antibiotic sensitivity, of a representative strain (TY-11) of Lactobacillus delbrueckii subsp. indicus.

Automated Category Tree Construction: Hardness Bounds and Algorithms

Category trees, or taxonomies, are rooted trees where each node, called a category, corresponds to a set of related items. The construction of taxonomies has been studied in various domains, including e-commerce, document management, and question answering. Multiple algorithms for automating construction have been proposed, employing a variety of clustering approaches and crowdsourcing. However, no formal model to capture such categorization problems has been devised, and their complexity has not been studied. To address this, we propose in this work a combinatorial model that captures many practical settings and show that the aforementioned empirical approach has been warranted, as we prove strong inapproximability bounds for various problem variants and special cases when the goal is to produce a categorization of the maximum utility. In our model, the input is a set of n weighted item sets that the tree would ideally contain as categories. Each category, rather than perfectly match the corresponding input set, is allowed to exceed a given threshold for a given similarity function. The goal is to produce a tree that maximizes the total weight of the sets for which it contains a matching category. A key parameter is an upper bound on the number of categories an item may belong to, which produces the hardness of the problem, as initially each item may be contained in an arbitrary number of input sets. For this model, we prove inapproximability bounds, of order \(\tilde{\Theta }(\sqrt {n}) \) or \(\tilde{\Theta }(n) \) , for various problem variants and special cases, loosely justifying the aforementioned heuristic approach. Our work includes reductions based on parameterized randomized constructions that highlight how various problem parameters and properties of the input may affect the hardness. Moreover, for the special case where the category must be identical to the corresponding input set, we devise an algorithm whose approximation guarantee depends solely on a more granular parameter, allowing improved worst-case guarantees, as well as the application of practical exact solvers. We further provide efficient algorithms with much improved approximation guarantees for practical special cases where the cardinalities of the input sets or the number of input sets each items belongs to are not too large. Finally, we also generalize our results to DAG-based and non-hierarchical categorization.

An Adaptive Simplification Method for Coastlines Using a Skeleton Line “Bridge” Double Direction Buffering Algorithm

Aiming at the problem that the current double direction buffering algorithm is easy to use to seal the “bottleneck” area when simplifying coastlines, an adaptive simplification method for coastlines using a skeleton line “bridge” double direction buffering algorithm is proposed. Firstly, from the perspective of visual constraints, the relationship between the buffer distance and the coastline line width and the minimum recognition distance of the human eye is theoretically derived and determined. Then, based on the construction of the coastline skeleton binary tree, the “bridge” skeleton line is extracted using the “source tracing” algorithm. Finally, the shoreline adaptive simplification is realized by constructing a visual buffer of “bridge” skeleton lines to bridge the original resulting coastline and the local details. The experimental results show that the proposed method can effectively solve the problem that the current double direction buffering algorithm has, which can significantly improve the quality of simplification.

Minimizing the Number of Distrustful Nodes on the Path of IP Packet Transmission

One of the important directions for improving modern Wide Area Networks is efficient and secure packet routing. Efficient routing is often based on using the shortest paths, while ensuring security involves preventing the possibility of packet interception. The work is devoted to improving the security of data transmission in IP networks. A new approach is proposed to minimize the number of distrustful nodes on the path of IP packet transmission. By a distrustful node, we mean a node that works correctly in terms of hardware and software and fully implements its data transport functions, but from the point of view of its organizational subordination, we are not sure that the node will not violate security rules to prevent unauthorized access and interception of data. A distrustful node can be either a transit or an end node. To implement this approach, we modified Dijkstra’s shortest path tree construction algorithm. The modified algorithm ensures that we obtain a path that will pass only through trustful nodes, if such a path exists. If there is no such path, the path will have the minimum possible number of distrustful intermediate nodes. The number of intermediate nodes in the path was used as a metric to obtain the shortest path trees. Routing tables of routers, built on the basis of trees obtained using a modified algorithm, provide increased security of data transmission, minimizing the use of distrustful nodes.

The Partial Nucleotide Sequences of the Mitochondrial Genes, COI and 16s rRNA, of Fireflies in the Genera Pygoluciola, Trisinuata, and Medeopteryx (Coleoptera: Lampyridae)

Fireflies in the genera Pygoluciola, Medeopteryx, and Trisinuata distribute throughout lower northern Thailand. Five morphospecies of these fireflies were collected and nucleotide sequences were analyzed. We sequenced the partial of two mitochondrial genes; Cytochrome c oxidase subunit I (COI) and 16s rRNA, and the phylogenetic trees were constructed and compared with the firefly nucleotide sequences in the NCBI database. The COI gene was amplified using LCO1490 and HCO2198 primers while specific primers of LR-J-13020a and LR-N-13398a were used to analyze amplicons of 16s rRNA. The results showed the average GC-contents in the nucleotide of five firefly morphospecies were found to average 30.28% and 22.15% in (COI) and 16s rRNA, respectively. The variable site in COI nucleotide sequences was 399 of the total 520 nucleotides (76.73%) whereas 91 of the total 418 nucleotides (21.77%) were found in 16s rRNA nucleotide sequences. Construction of the phylogenetic trees of those five firefly morphospecies with reference accession samples indicated five clades when analyzed by COI nucleotide sequences and two clades were revealed in 16s rRNA gene. According to these results, COI nucleotides are one of the most effective methods for differentiating between and within firefly species. The addition of the 16s rRNA gene analysis showed an increase in the precision of firefly identification. Those five firefly morphospecies were separated using both the COI and 16s rRNA nucleotide sequences.

Identification of phytase producing bacteria from acidifying Tithonia diversifolia: Potential for ruminant feed development

Phytate content in feed ingredients can negatively impact digestibility and palatability. To address this issue, it is necessary to study microbes capable of breaking down phytate content. This study aimed to isolate and characterize phytase-producing bacteria from decaying materials rich in phytic acid. The research was conducted in several stages. The first stage involved isolating phytase-producing bacteria from the acidification of Tithonia diversifolia using growth media containing Na-phytate. Bacterial isolates that produced clear zones were then tested for their activity and ability to produce several enzymes, specifically phytase, cellulase, and protease. The next step was to test the morphological characteristics of the bacterial isolate. The final stage of bacterial identification consisted of DNA isolation, followed by PCR amplification of the 16S rRNA gene, DNA sequence homology analysis, and construction of a phylogenetic tree. Based on research, three isolates were found to produce clear phytase zones: isolates R5 (20.3mm), R7 (16.1 mm) and R8 (31.7 mm). All isolates were able to produce the enzymes phytase (5.45–6.54 U/ml), cellulase (2.60–2.92 U/ml), and protease (22.2–23.4 U/ml). Metagenomic testing identified isolate R7 and R8 as Alcaligenes faecalis and isolate R5 as Achromobacter xylosoxidans. The isolation and characterization of phytase-producing bacteria from Tithonia diversifolia acidification resulted in the identification of two promising candidates that can be applied as sources of phytase producers. Phytase-producing bacteria can be utilized to improve digestibility and palatability in animal feed.

A α-L-rhamnosidase from Echinacea purpurea endophyte Simplicillium sinense EFF1 and its application in production of Calceorioside B

Calceorioside B, a multifunctional phenylethanol glycosides (PhGs) derivative, exhibits a variety of notable properties, such as antithrombotic, anti-tumorigenic, anti-neocoronavirus, anti-inflammatory, and neuroprotective effects. However, the large-scale production of calceorioside B is routinely restricted by its existence as an intermediary compound derived from plants, and still unachieved through excellent and activity chemical synthesis. Here, a total of 51 fungal endophytes were isolated from four PhGs-producing plants, and endophyte Simplicillium sinense EFF1 from Echinacea purpurea was identified with the ability to de-rhamnosing isoacteoside to generate calceorioside B. According to the RNA-transcription of EFF1 under the various substrates, a key gene CL1206.Contig2 that undertakes the hydrolysis function was screened out and charactered by heterologous expression. The sequence alignment, phylogenetic tree construction and substrate specificity analysis revealed that CL1206 was a novel α-L-rhamnosidase that belongs to the glycosyl hydrolase family 78 (GH78). The optimum catalytic conditions for CL1206 were at pH 6.5 and 55 °C. Finally, the enzyme-catalyzed approach to produce calceorioside B from 50 % crude isoacteoside extract was explored and optimized, with the maximum conversion rate reaching 69.42 % and the average producing rate reaching 0.37 g-1.L-1.h−1, which offered a great biocatalyst for potential industrial calceorioside B production. This is the first case for microorganism and rhamnosidase to show the hydrolysis ability to caffeic acid-modified PhGs.

The characterization of Apis cerana and Apis mellifera mrjp2 gene in Indonesia and the phylogeny relationship with mrjp family genes

The major royal jelly protein 2 (mrjp2) gene is one of the molecular markers that can discriminate between Apis cerana Fabricius and A. mellifera Linnaeus. Due to the lack of mrjp2 gene sequences registered in GenBank for Indonesian A. cerana and A. mellifera, DNA characterization and bioinformatics analysis were needed. This research aimed to characterize the exon-intron organization of mrjp2 genes for both Indonesian bee species and analyze the phylogenetic relationship with other mrjp family genes. DNA samples of Apis cerana and A. mellifera, collected from Bogor, were amplified using MF-MR primer at annealing temperatures of 47 oC and 50 oC, respectively. The length of A. cerana and A. mellifera DNA sequences were 579 and 597 bp, respectively. The DNA sequences of both species were comprised of partial exons 1, introns 1, exons 2, introns 2, and partial exon 3. The number of putative amino acids of A. cerana and A. mellifera mrjp2 genes were 111 and 123, respectively. We confirmed that the partial MRJP2 putative amino acids of both honey bees belong to the MRJP family and contained the peptide signal in the 14 first amino acid sites. Nucleotide variation of the mrjp2 gene in A. cerana was higher than A. mellifera. Phylogenetic tree construction showed that A. cerana and A. mellifera form a monophyletic clade with the A. mellifera mrjp7 gene and another mrjp family gene clustered as reported in a previous study.

Non-Pigmented Antarctic Yeasts and Their Resistance to Toxic Metals

Despite the key role in biogeochemical processes and in the functioning of terrestrial ecosystems, yeasts of Antarctic regions still remain insufficiently studied. The study and analysis of the composition of Antarctic microbial communities remains relevant and is carried out using molecular biological approaches. The investigation of their resistance to toxic metal ions is essential to select industrially promising strains that can contribute to the development of new methods of metals detoxification via microorganisms. Aim. To determine the taxonomic position of non-pigmented Antarctic yeasts and investigate their resistance to toxic metal ions. Methods. The objects of the research are yeasts isolated from Antarctic phytocenoses. They were grown on malt wort (pH 5.0–5.5, temperature 18–20 °C). Isolation of genomic DNA was performed via the commercial DNA-sorb kit. Amplification of DNA was carried out using primers NL1 and NL4. Phylogenetic analysis was conducted by construction of trees (dendrograms) showing the position of the studied strains among closely related and typical species. The resistance of yeasts to toxic metal ions was established by cultivation in the concentration gradient of Ni2+, Co2+, CrO42-, and Сu2+. The ecophysiological traits of the isolated yeast strains including psychro- and halotolerance were determined. Results. Phylogenetic analysis showed a high percentage of similarity (99.5–99.6 %) of sequences of 18S rRNA genes of Antarctic yeast strains with the yeast sequences from the GenBank database. Psychrotolerant and halotolerant Antarctic yeast strains S11 and S12 were identified as Leucosporidium scottii and Debaryomyces hansenii, respectively. The studied yeast strains were found to be the most resistant to metal ions Ni2+ and Co2+. Strain of L. scottii S11 grew at 800 mg/L of Co2+, and D. hansenii S12 – at 750 mg/L of Ni2+. The yeasts were the least resistant to CrO42-: the L. scottii S11 and D. hansenii S12 strains grew at concentrations of 25 mg/L and 150 mg/L, respectively. In the presence of Cu2+, they grew at the same concentration – 600 mg/L. The combined action of toxic metal ions resulted in the increased toxic effects on the studied yeasts. Conclusions. The nucleotide sequences of 18S rRNA gene fragment of yeast strains S11 and S12 were included in the GenBank database under the numbers LT220858 and LT220859. Metal-resistant psychrotolerant yeast strains can be used to evaluate the metals content in polar regions as well as to bioremediate metal-contaminated ecosystems. However, further research is needed to develop and optimize bioremediation processes.

Endophytic fusarium solani exhibiting potential stress tolerance and enhances growth of maize in South Africa

New technological approaches harness the potential of endophytic fungi as growth promoters, utilizing their bioactive compounds to protect against herbivores, insects, and various unfavourable abiotic stresses, including temperature, salinity, drought, and heavy metals. Zea mays (L.) is considered as a staple food source in many countries including South Africa. Endophytic fungi are natural growth promoters without causing any disease or symptoms of diseases. In the current study, nine endophytic fungi were examined for abiotic stress tolerance and were inoculated in the maize seeds prior to plantation. The construction of the phylogenetic tree was based on consensus sequences (ITS) using endophytic fungi produced three clades with four subgroups. Among the 9 endophytic fungi, only 3 fungal isolates (END 15, MHE 55, RNK 4) grew on 3% and 6% salinity PDA. Boeremia exigua was the only isolate that could withstand 6%. Fusarium solani (MHE 55) survived at low pH. Furthermore, Neurospora sp. (GG 9) and Fusarium solani (MHE 55) grew at 37 ºC. Greenhouse experiments were conducted to establish the growth promoting properties. The highest plant height was observed in the treatment which was inoculated with Fusarium oxysporum (GG 8) followed by Fusarium solani (MHE 55), reaching 46 cm and 44 cm respectively. The significant enhancement in plant height, root weight, fresh weight and leaf size, demonstrate the potential use of the selected isolate as a growth promoter for maize. In contrast Chaetomium (PG 9) and Alternaria (MHE 68) displayed none to limited growth promoting properties. To the best of our knowledge, this is the first report on the potential use of F. solani isolated from South African geranium as a growth promoter. As the world is aiming at a more sustainable and eco-friendly agriculture, the use of such endophytes will contribute to better crop production and protection, hence more food availability. Key words: Fusarium solani, Endophytes, Growth promotion, Maize, Stress tolerance, Boeremia exigua, Chaetomium, Alternaria

A Critical Review on Some Recent Developments in Comparison of Biological Sequences

The present review highlights some of the very important contributions to non-alignment ways of comparing biological sequences, which may be genome sequences of nucleotides, protein sequences of amino acids, or sequences of protein secondary structures. The discussion centers around specific methods applicable to the comparison of three types of sequences. The methods of comparison of genome sequences are based on three pairs of biological groups of nucleotides; the same for protein sequences are based on either physio-chemical property values of amino acids or on classified groups of amino acids of different cardinalities obtained from the physio-chemical properties; the same for sequences of secondary structures of proteins are based on their sequential expressions of structure elements of cardinality three and four. Comparison is made in the time domain and also in the frequency domain. Different taxa of known phylogeny are considered for comparison. It tries to find out the specific method of comparison, which can show the exact phylogeny of the taxa. If a new sequence appears in the database, it becomes essential to know its phylogeny. For this purpose, a phylogenetic tree is drawn on the sequences of the known taxa together with this new sequence using the best possible method. If the species having this new sequence belongs to the old taxa, there is nothing to worry about. Otherwise, the species with the new sequence has to be studied separately. This is the general reason for the construction of a phylogenetic tree in any form of biological sequence comparison.

Cascade energy reemission by the iodine atom irradiated by 0.01–100 keV photons. Role of photo- and cascade-produced electrons in radiosensitization using iodine-containing agents

Cascade decays of single K to O vacancies in an isolated iodine atom are simulated by straightforward construction of the cascade decay trees. Cascade-emitted electron and photon spectra are calculated and analyzed to determine the portions of energies (a) absorbed by the iodine atom after ionization and complete cascade relaxation, (b) emitted by cascade electrons, (c) emitted by cascade photons. These quantities are calculated as functions of incident photon energy following photoionization of the iodine atom in the 0.01–100 keV energy range. Cascade electrons and photoelectrons are shown to be principal energy transmitters from an ionized iodine atom to the environment. Presented data are relevant for developing the strategies of photon activation radiation therapy when iodine is used as a radiosensitizing agent.

T-cell commitment inheritance—an agent-based multi-scale model

T-cell development provides an excellent model system for studying lineage commitment from a multipotent progenitor. The intrathymic development process has been thoroughly studied. The molecular circuitry controlling it has been dissected and the necessary steps like programmed shut off of progenitor genes and T-cell genes upregulation have been revealed. However, the exact timing between decision-making and commitment stage remains unexplored. To this end, we implemented an agent-based multi-scale model to investigate inheritance in early T-cell development. Treating each cell as an agent provides a powerful tool as it tracks each individual cell of a simulated T-cell colony, enabling the construction of lineage trees. Based on the lineage trees, we introduce the concept of the last common ancestors (LCA) of committed cells and analyse their relations, both at single-cell level and population level. In addition to simulating wild-type development, we also conduct knockdown analysis. Our simulations predicted that the commitment is a three-step process that occurs on average over several cell generations once a cell is first prepared by a transcriptional switch. This is followed by the loss of the Bcl11b-opposing function approximately two to three generations later. This is when our LCA analysis indicates that the decision to commit is taken even though in general another one to two generations elapse before the cell actually becomes committed by transitioning to the DN2b state. Our results showed that there is decision inheritance in the commitment mechanism.

Stacked tree construction for free-fermion projected entangled pair states

Stacked tree construction for free-fermion projected entangled pair states

A description of Aliichlorella ignota gen. et sp. nov. and a comparison of the efficiency of species delimitation methods in the Chlorella‐clade (Trebouxiophyceae, Chlorophyta)

AbstractThe present study reports a new representative of Chlorella‐clade that was newly isolated from the Lake Vos'merka (Samara region, Russian Federation). 18S–ITS1–5.8S–ITS2 sequence analyses indicated that the studied strain ACSSI 368 and related Chlorella chlorelloides, Chlorella pulchelloides, formed an separate cluster in the Chlorella‐clade, unrelated to the holotype of the genus Chlorella – Chlorella vulgaris. The independent place of the genus was also confirmed by genetic distances. The individual species status of the studied strain ACSSI 368, compared with the sister C. chlorelloides, was confirmed by morphological differences (cell number per colony, type of chloroplast, number of autospores), genetic distances of the interspecific level by 18S–ITS1–5.8S–ITS2 fragment, alone by internal transcribed spacer 1 (ITS1) and internal transcribed spacer 2 (ITS2) sequences, one complementary base change in ITS1, and the results of species delimitation using five methods. A description of studied strain ACSSI 368 was provided as an authentic strain of the type species Aliichlorella ignota. Currently, the new genus Aliichlorella also includes Aliichlorella chlorelloides comb. nov. and Aliichlorella pulchelloides comb. nov. In general, six different delimitation algorithms were used in the present study. The ASAP (i.e. assemble species by automatic partitioning) and LocMin (i.e. ‘local minimum’ function) algorithms showed synchronous results, but their accuracy with respect to closely related species was somewhat lower. The mlPTP algorithm simultaneously aimed to combine closely related species in one and at the same time divide slightly distinguishing strains within a species into several molecular operational taxonomic units. The bPTP algorithm separated excessively Chlorella‐clade representatives into individual species. The generalized mixed Yule coalescent (GMYC) algorithm results were consistent the most with the modern understanding of the Chlorella‐clade taxonomy. However, the same method is one of the most time‐consuming because, for its implementation, it is necessary to carry out long preparatory work. The KoT results were less accurate than the GMYC results, although this is less time‐consuming because it does not require the preliminary construction of ultrametric trees.

Molecular characterization of the nonstructural 5A (NS5A) region of hepatitis C virus in Thai blood donors.

Direct acting antivirals (DAAs) have been developed for hepatitis C virus (HCV) therapy, and they are usually effective, however resistance to DAA regimens has also been reported to have a significant impact. Resistance associated substitutions (RASs) in the NS5A region are known to be correlated with failure of DAA therapy. HCV genotypes 3a and 1 are the most prevalent genotypes in Thailand. This study analyzed the type and frequency of RASs associated with DAA failure, focusing on the NS5A region. Serum samples of HCV genotype 3a, 1a, and 1b infection from Thai blood donors were selected. The NS5A region was amplified using reverse transcription-polymerase chain reaction (RT-PCR). A phylogenetic tree was constructed to identify the genotypes of HCV. Nucleotide sequencing and amino acid sequencing were conducted to determine the prevalence of RASs. Construction of the phylogenetic tree indicated that 29 samples were genotype 3a, 11 samples were genotype 1a, and 9 were genotype 1b. Both HCV genotypes 1a and 3a can be categorized into two subclades. Results showed that the NS5A substitutions A30V/K, A62T/V/I/M/P/S/L, and S98G were present in HCV genotype 3a. In HCV genotype 1a, only NS5A RASs H54Y was detected. NS5A amino acid substitutions Q54H and P58L were found in HCV genotype 1b. In conclusion, NS5A RASs at amino acid positions 30, 62, 54, 58, and 98 are present within HCV genotypes 3a and 1. While keeping in mind that additional information was not available on the anonymous blood donors tested in this study, these findings can contribute to understand the NS5A mutation. Further study with known patients under drug treatment is recommended.

Genomics and Phylogeny of Rhodotorula glutinis and Rhodotorula kratochvilovae Isolated from the Northern Peruvian Andes

Genomes of oleaginous yeast strains Rhodotorula glutinis CON-5 and Rhodotorula kratochvilovae POR-3, isolated from areas in the northern Peruvian Andes using SPAdes, were sequenced and assembled applying Illumina and de novo. Genomes of 20,515,696 and 20,738,185 bp, respectively, were determined. From the structural and functional annotations, the Basidiomycota phylum showed a similarity of 76.8% and 86.5% with 6,976 and 8,124 pairs of proteins in both yeasts respectively, with homologues in the UniProt data bank. Using OrthoVenn, a relationship between both yeasts was obtained from 450 orthologous groups. Likewise, the above-mentioned yeasts and R. toruloides (oleaginous Basidiomycota) showed 1,574 orthologous groups, indicating a good relationship. Construction of phylogenetic trees of genes encoding metabolic enzymes was also carried out, based on the ITS sequences which showed that CON-5 and POR-3 have a greater relationship with R. graminis. Their phylogenetic relationship was ascertained and determined that the enzymes involved in the metabolism of CON-5 and POR-3 are related to each other. It was also found that the protein sequences of the Basidiomycota phylum differ from Ascomycota. The study showed functional evidence regarding the lipid accumulation phenotype, an important aspect in the context of obtaining lipids or oleochemicals.

Impact of Parallel Processing on LightGBM Implementation a Comparative Analysis CPU on Iris Plants Dataset

Parallel processing has emerged as base for machine learning to address the computational requirements of complex models and expanded datasets. In additions, Parallel functions give the ability to algorithms exploiting the full potential of available accounting resources. This mechanism enhances parallel processing capabilities, as calculations are distributed through a multiple processor. This research explores the impact of the parallel processing of the central processing unit on the performance of LightGBM. The gradient-based learning in LightGBM enables efficient feature split decisions during tree construction. framework for scaling up, using the IRIS plant dataset. The study aims at comparing accuracy measures and training time for trained models with or without parallel processing units. The methodology includes advance data processing steps and the formation of environmentally sound management models with or without parallel processing units. The results reveal marked differences in accuracy and training time between the model and parallel processing of the central processing unit and its counterpart without it. Research contributes to understanding the role of parallel processing in the optimal functioning of the automated learning model.

Large-scale genome-wide SNP analysis reveals the rugged (and ragged) landscape of global ancestry, phylogeny, and demographic history in chicken breeds.

The worldwide chicken gene pool encompasses a remarkable, but shrinking, number of divergently selected breeds of diverse origin. This study was a large-scale genome-wide analysis of the landscape of the complex molecular architecture, genetic variability, and detailed structure among 49 populations. These populations represent a significant sample of the world's chicken breeds from Europe (Russia, Czech Republic, France, Spain, UK, etc.), Asia (China), North America (USA), and Oceania (Australia). Based on the results of breed genotyping using the Illumina 60K single nucleotide polymorphism (SNP) chip, a bioinformatic analysis was carried out. This included the calculation of heterozygosity/homozygosity statistics, inbreeding coefficients, and effective population size. It also included assessment of linkage disequilibrium and construction of phylogenetic trees. Using multidimensional scaling, principal component analysis, and ADMIXTURE-assisted global ancestry analysis, we explored the genetic structure of populations and subpopulations in each breed. An overall 49-population phylogeny analysis was also performed, and a refined evolutionary model of chicken breed formation was proposed, which included egg, meat, dual-purpose types, and ambiguous breeds. Such a large-scale survey of genetic resources in poultry farming using modern genomic methods is of great interest both from the viewpoint of a general understanding of the genetics of the domestic chicken and for the further development of genomic technologies and approaches in poultry breeding. In general, whole genome SNP genotyping of promising chicken breeds from the worldwide gene pool will promote the further development of modern genomic science as applied to poultry.

Genetic diversity and population structure in five inner mongolia cashmere goat populations using whole-genome genotyping.

As a charismatic species, cashmere goats have rich genetic resources. In the Inner Mongolia Autonomous Region, there are three cashmere goat varieties named and approved by the state. These goats are renowned for their high cashmere production and superior cashmere quality. Therefore, it is vitally important to protect their genetic resources as they will serve as breeding material for developing new varieties in the future. Three breeds including Inner Mongolia cashmere goats (IMCG), Hanshan White cashmere goats (HS), and Ujimqin white cashmere goats (WZMQ) were studied. IMCG were of three types: Aerbas (ARBS), Erlangshan (ELS) and Alashan (ALS). Nine DNA samples were collected for each population, and they were genomically re-sequenced to obtain high-depth data. The genetic diversity parameters of each population were estimated to determine selection intensity. Principal component analysis, phylogenetic tree construction and genetic differentiation parameter estimation were performed to determine genetic relationships among populations. Samples from the 45 individuals from the five goat populations were sequenced, and 30,601,671 raw SNPs obtained. Then, variant calling was conducted using the reference genome, and 17,214,526 SNPs were retained after quality control. Individual sequencing depth of individuals ranged from 21.13X to 46.18X, with an average of 28.5X. In the ARBS, locus polymorphism (79.28) and expected heterozygosity (0.2554) proportions were the lowest, and the homologous consistency ratio (0.1021) and average inbreeding coefficient (0.1348) were the highest, indicating that this population had strong selection intensity. Conversely, ALS and WZMQ selection intensity was relatively low. Genetic distance between HS and the other four populations was relatively high, and genetic exchange existed among the other four populations. s: The Inner Mongolia cashmere goat (ARBS type) population has a relatively high selection intensity and a low genetic diversity. The IMCG (ALS type) and WZMQ populations had relatively low selection intensity and high genetic diversity. The genetic distance between HS and the other four populations was relatively high, with a moderate degree of differentiation. Overall, these genetic variations provide a solid foundation for resource identification of Inner Mongolia Autonomous Region cashmere goats in the future.