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A shortcut in forward genetics: concurrent discovery of mutant phenotype and causal mutation in Arabidopsis M2 families via MAD-mapping

ABSTRACTForward genetics is a powerful tool to establish phenotype-genotype correlations in virtually all areas of plant biology and has been particularly successful in the model plant Arabidopsis. This approach typically starts with a phenotype in an M2 mutant, followed by identifying a causal DNA change in F2 populations resulting from a cross between the mutant and a wildtype individual. Ultimately, two additional generations are needed to pinpoint causal DNA changes upon mutant identification. We postulated that genome-wide allele frequency distributions within the mutants of M2 families facilitate discrimination of causal versus non-causal mutations, essentially eliminating the need for F2 populations. In a proof-of-principle experiment, we aimed to identify signalling components employed by the executor-type resistance (R) protein, Bs4C, from pepper (Capsicum pubescens). In a native setting, Bs4C is transcriptionally activated by and mediates recognition of the transcription activator-like effector AvrBs4 from the bacterial pathogen Xanthomonas. Arabidopsis containing an estradiol-inducible Bs4C transgene was used in a conditionally lethal screen to identify second-site suppressor mutations. Whole genome sequencing was used for M2 mutant allele-frequency distribution (MAD) mapping in three independent M2 families. MAD-mapping uncovered that all three families harboured mutations in XRN4, a novel component of executor R protein pathways. Our work demonstrates that causal mutations observed in forward genetic screens can be identified immediately in M2 families instead of derived F2 families. Notably, the timesaving concept of MAD mapping should be applicable to most crop species and will advance the appeal of forward genetics beyond applications in fundamental research.SIGNIFICANCE Forward genetics has uncovered numerous genes that govern plant immune reactions. This procedure relies on mutant plants with modified immune reactions followed by identification of causal DNA changes in derived F2 progeny. We developed a novel forward genetics concept where causal DNA changes are identified in the initial M2 mutants, making time consuming establishment of F2 populations obsolete. To confirm the feasibility of the concept, we mutagenized transgenic Arabidopsis seeds containing the cell death executing resistance gene Bs4C from pepper. Whole-genome sequencing of identified mutant families that lack a Bs4C-dependent cell death revealed the XRN4 gene as a novel component of Bs4C-dependent cell death. This confirms our hypothesis that causal mutations can be identified directly within phenotypically selected mutant families.Competing Interest StatementThe authors have declared no competing interest.View Full Text

plant biology↗

Modulatory effect of plasma-activated water on arbuscular mycorrhizal symbiosis in Lotus japonicus

Plasma-activated water (PAW) is a recently developed cutting-edge technology that is increasingly gaining interest for its applications in medicine, food industry and agriculture. In plant biology, PAW has been shown to promote seed germination, plant growth, and plant resistance to biotic and abiotic stresses. Despite increasing knowledge of the beneficial effects exerted by PAW on plants, little information is currently available about how this emerging technology may affect the mutualistic plant-microbe interactions in the rhizosphere. In this work we have investigated the impact of irrigation with PAW, generated by a plasma torch, on arbuscular mycorrhizal (AM) symbiosis between the model legume Lotus japonicus and the AM fungus Rhizophagus irregularis. Since PAW sensing by plants has recently been demonstrated to occur through calcium-mediated signalling, we monitored early cellular responses to different doses of PAW in L. japonicus roots expressing the Ca2+-sensitive photoprotein aequorin targeted to either the cytosol or nucleus. Quantitative analyses of AM fungal accommodation in host roots along with phosphate accumulation in leaves, as well as chemical analysis of N, C, S in shoots, showed that treatments with PAW play a modulatory role on plant AM symbiotic performance, in a manner dependent on the time interval of water exposure to the plasma and on the duration of plant irrigation treatment with PAW. Establishing a solid scientific ground for plasma-related technology may provide key elements to develop tools and treatments aimed to increase crop plant yield in a sustainable manner.

plant biology↗

Fluorescence-based whole plant imaging and phenomics

Reverse genetics approaches have revolutionized plant biology and agriculture. Phenomics has the prospect of bridging plant phenotypes with genes, including transgenes, to transform agricultural fields1. Genetically-encoded fluorescent proteins (FPs) have transformed studies in gene expression, protein trafficking, and plant physiology. While the first instance of plant canopy imaging of green fluorescent protein (GFP) was performed over 20 years ago2, modern phenomics has largely ignored fluorescence as a transgene indicator despite the burgeoning FP color palette currently available to biologists3-5. Here we show a new platform for standoff imaging of plant canopies expressing a wide variety of FP genes in leaves. The platform, the fluorescence-inducing laser projector (FILP), uses a low-noise camera to image a scene illuminated by compact diode lasers of various colors and emission filters to phenotype transgenic plants expressing multiple constitutive or inducible FPs. Of the 20 FPs screened, we selected the top performing candidates for standoff phenomics at [≥] 3 m using FILP in a laboratory-based laser range. Included in demonstrated applications is the performance of an osmotic stress-inducible synthetic promoter selected from a high throughput library screen. While FILP has unprecedented versatility as a laboratory platform, we envisage future iterations of the system for use in automated greenhouse or even drone-fielded versions of the platform for crop screening.

plant biology↗

High-light adaptation via ferredoxin-mediated tuning of the photosynthesis–photoprotection trade-off

O_LIPlants continuously adjust photosynthesis to balance growth and photoprotection under changing environmental conditions. Environmental fluctuations frequently impose a mismatch between energy production and CO2 assimilation. How photochemical reactions are regulated to maintain performance under these conditions remains a central question in plant biology. C_LIO_LIWe previously developed transplastomic tobacco (Fd1-OE plants) overexpressing ferredoxin (Fd) displaying enhanced photoprotection and growth penalties with a variegated leaf phenotype under greenhouse conditions. Here, we investigate how these plants respond to different growth irradiances using physiological, ultrastructural, and photosynthetic analyses, including PAM, gas exchange, and P700 absorbance measurements, and dynamic-light assays. C_LIO_LIFd1-OE plants progressively recovered growth, leaf phenotype and photosynthetic performance as growth irradiance increased, reaching near WT performance at 1400 mol m-{superscript 2} s-{superscript 1}. This enhanced adaptation to "high-light" was associated with a larger fraction of open PSII reaction centers and enhanced NPQ. Dynamic-light analyses further revealed faster plastoquinone (PQ) turnover, a more oxidized PQ pool and enhanced electron withdrawal downstream of PSI. C_LIO_LIOur results indicate that Fd overexpression redefines the balance between photochemistry and photoprotection. This adjustment shifts adaptation toward higher irradiance and enhances photosynthetic performance under changing light environments. Electron partitioning downstream of PSI emerges as a promising target to improve photosynthetic resilience. C_LI One sentence summaryOverexpression of Fd1 in tobacco plants adjusts photosynthesis/photoprotection trade off to enhance high-light adaptation

Plant Biology↗

Trans-generational adaptation to maternal climate through hormone transport in plants

Whether organisms can inherit parental adaptations to the environment is a major question in evolutionary biology. Plant development is highly plastic and dependent on the seasonal cues which are used to control growth and reproduction. Seed dormancy and germination are key traits which respond strongly to temperature during seed development and here we show that progeny adaptation to seasonal climate is inherited from the mother plant. Loss of maternal LIKE HETEROCHROMATIN PROTEIN 1 (LHP1) causes an inability of progeny seeds to sense temperature and this is linked mechanistically to reduced ABA levels in seeds and activation of the primary nitrate response. At the single cell level, small changes in temperature activate nitrate signalling specifically in the mother, and ABA biosensor imaging reveals temperature-dependent fluxes of ABA into seeds necessary for dormancy induction. Thus, we reveal that progeny seeds inherit the climate adaptation of mother plants via active hormone transport during seed set.

plant biology↗

Viral delivery of an RNA-guided genome editor for transgene-free plant germline editing

AbstractGenome editing is transforming plant biology by enabling precise DNA modifications. However, delivery of editing systems into plants remains challenging, often requiring slow, genotype-specific methods such as tissue culture or transformation. Plant viruses, which naturally infect and spread to most tissues, present a promising delivery system for editing reagents. But most viruses have limited cargo capacities, restricting their ability to carry large CRISPR-Cas systems. Here, we engineered tobacco rattle virus (TRV) to carry the compact RNA-guided TnpB enzyme ISYmu1 and its guide RNA. This innovation allowed transgene-free editing of Arabidopsis thaliana in a single step, with edits inherited in the subsequent generation. By overcoming traditional reagent delivery barriers, this approach offers a novel platform for genome editing, which can greatly accelerate plant biotechnology and basic research.

plant biology↗

Stress Knowledge Map: A knowledge graph resource for systems biology analysis of plant stress responses

Stress Knowledge Map (SKM, https://skm.nib.si) is a publicly available resource containing two complementary knowledge graphs describing current knowledge of biochemical, signalling, and regulatory molecular interactions in plants: a highly curated model of plant stress signalling (PSS, 543 reactions) and a large comprehensive knowledge network (CKN, 488,390 interactions). Both were constructed by domain experts through systematic curation of diverse literature and database resources. SKM provides a single entrypoint for plant stress response investigations and the related growth tradeoffs. SKM provides interactive exploration of current knowledge. PSS is also formulated as qualitative and quantitative models for systems biology, and thus represents a starting point of a plant digital twin. Here, we describe the features of SKM and show, through two case studies, how it can be used for complex analyses, including systematic hypothesis generation, design of validation experiments, or to gain new insights into experimental observations in plant biology.

plant biology↗

Identification of mRNAs that undergo stop codon readthrough in Arabidopsis thaliana

A stop codon ensures termination of translation at a specific position on an mRNA. Sometimes, termination fails as translation machinery recognizes a stop codon as a sense codon. This leads to stop codon readthrough (SCR) resulting in the continuation of translation beyond the stop codon, generating protein isoforms with C-terminal extension. SCR has been observed in viruses, fungi, and multicellular organisms including mammals. However, SCR is largely unexplored in plants. In this study, we have analyzed ribosome profiling datasets to identify mRNAs that undergo SCR in Arabidopsis thaliana. Analyses of the ribosome density, ribosome coverage and three-nucleotide periodicity of the ribosome profiling reads, in the mRNA region downstream of the stop codon, provided strong evidence for SCR in mRNAs of 144 genes. This process generates putative peroxisomal targeting signal, nuclear localization signal, prenylation signal, transmembrane helix and intrinsically disordered regions in the C-terminal extension of several of these proteins. Gene ontology (GO) functional enrichment analysis revealed that these 144 genes belong to three major functional groups - translation, photosynthesis and abiotic stress tolerance. Finally, using a luminescence-based assay, we experimentally demonstrate SCR in representative mRNAs belonging to these functional classes. Based on these observations, we propose that SCR plays an important role in plant physiology by regulating the protein localization and function. AUTHOR SUMMARYProtein synthesis executed by macromolecular complexes, termed ribosomes, starts and stops at specific locations on a messenger RNA (mRNA). This fidelity is critical for the normal functioning of cells. However, sometimes ribosomes dont stop translation at the stop signal (termed stop codon) on an mRNA resulting in longer proteins with properties different from those of the canonical shorter protein. This process called stop codon readthrough (SCR) has been observed in viruses, fungi, and multicellular organisms including mammals. However, it remains largely unexplored in plants. In this study, we report evidence of SCR in 144 genes of Arabidopsis thaliana, a small flowering weed widely used as a model system to study plant biology. These genes are involved in protein synthesis, photosynthesis and stress tolerance in plants. We have also experimentally demonstrated SCR in a few genes that represent these functional classes. Our analysis shows that SCR can change the localization and functional properties of these proteins. We propose that SCR plays an important role in plant physiology.

plant biology↗

De novo stem cell establishment in meristems requires repression of organ boundary cell fate

Stem cells play important roles in animal and plant biology as they sustain morphogenesis and tissue replenishment following aging or injuries. In plants, stem cells are embedded in multicellular structures called meristems and the formation of new meristems is essential for the plastic expansion of the highly branched shoot and root systems. In particular, axillary meristems that produce lateral shoots arise from the division of boundary domain cells at the leaf base. The CUP-SHAPED COTYLEDON (CUC) genes are major determinants of the boundary domain and are required for axillary meristem initiation. However, how axillary meristems get structured and how stem cells become established de novo remains elusive. Here, we show that two NGATHA-LIKE transcription factors, DPA4 and SOD7, redundantly repress CUC expression in the initiating axillary meristem. Ectopic boundary fate leads to abnormal growth and organisation of the axillary meristem and prevents de novo stem cell establishment. Floral meristems of the dpa4 sod7 double mutant show a similar delay in stem cell de novo establishment. Altogether, while boundary fate is required for the initiation of axillary meristems, our work reveals how it is later repressed to allow proper meristem establishment and de novo stem cell niche formation.

plant biology↗

Overexpression of Arabidopsis ubiquitin ligase AtPUB46 enhances tolerance to drought and oxidative stress

The U-Box E3 ubiquitin ligase, AtPUB46, functions in the drought response: T-DNA insertion mutants of this single paralogous gene are hypersensitive to water- and oxidative stress (Adler et al. BMC Plant Biology 17:8, 2017). Here we analyze the phenotype of AtPUB46 overexpressing (OE) plants. AtPUB46-OE show increased tolerance to water stress and have smaller leaf blades and reduced stomatal pore area and stomatal index compared with wild type (WT). Despite this, the rate of water loss from detached rosettes is similar in AtPUB46-OE and WT plants. Germination of AtPUB46-OE seeds was less sensitive to salt than WT whereas seedling greening was more sensitive. We observed a complex response to oxidative stress applied by different agents: AtPUB46-OE plants were hypersensitive to H2O2 but hyposensitive to methyl viologen. AtPUB46-GFP fusion protein is cytoplasmic, however, in response to H2O2 a considerable proportion translocates to the nucleus. We conclude that the differential stress phenotype of the AtPUB46-OE does not result from its smaller leaf size but from a change in the activity of a stress pathway(s) regulated by a degradation substrate of the AtPUB46 E3 and also from a reduction in stomatal pore size and index.\n\nAccession NumbersSequence data for this article can be found in: The Arabidopsis Information Resource database (http://www.arabidopsis.org) under accession numbers At5G18320 (PUB46).

plant biology↗

Cell-material interactions in 3D bioprinted plant cells

3D bioprinting is an additive manufacturing technology with promise towards facilitating tissue engineering and single-cell investigations of cellular development and microenvironment responses. 3D bioprinting is still a new technology in the field of plant biology so its optimization with plant cells is still widely needed. Here, we present a study in which 3D bioprinting parameters, such as needle gauge, extrusion pressure, and scaffold type, were all tested in 3D bioprinted Tobacco BY-2 cells to evaluate how cell viability is responsive to each parameter. As a result, this study revealed an optimal range of extrusion pressures and needle gauges that resulted in an optimum cell viability. Furthermore, this study applied the identified optimal 3D bioprinting parameters to a different cell line, Arabidopsis root protoplasts, and stress condition, phosphate starvation, to confirm that the identified parameters were optimal in a different species, cell type, and cellular microenvironment. This suggested that phosphate-starved bioprinted Arabidopsis cells were less viable by 7 days, which was consistent with whole root phosphate starvation responses. As a result, the 3D bioprinter optimization yielded optimal cell viabilities in both BY-2 and Arabidopsis cells and facilitated an applied investigation into phosphate starvation stress.

cell biology↗

Quantitative dissection of color patterning in the foliar ornamental Coleus reveals underlying features driving aesthetic value

O_LIColeus is a popular ornamental plant that exhibits a diverse array of foliar color patterns. New cultivars are currently hand selected by both amateur and experienced plant breeders. In this study, we reimagine coleus breeding using a quantitative color analysis framework. C_LIO_LIDespite impressive advances in high-throughput data collection and processing, complex color patterns remain challenging to extract from image datasets. Using a new phenotyping approach called "ColourQuant," we extract and analyze pigmentation patterns from one of the largest coleus breeding populations in the world. C_LIO_LIWorking with this massive dataset, we are able to analyze quantitative relationships between maternal plants and their progeny, identify features that underlie breeder-selections, and collect and compare consumer input on trait preferences. C_LIO_LIThis study is one of the most comprehensive explorations into complex color patterning in plant biology and provides new insights and tools for exploring the color pallet of the plant kingdom. C_LI

plant biology↗

An updated nomenclature for plant ribosomal protein genes

Ban et al. (2014) proposed a nomenclature for ribosomal proteins (r-proteins) that reflects the current understanding of ribosomal protein evolution. In the past few years, this nomenclature has been widely adopted among biomedical researchers and microbiologists. This homology-based r-protein nomenclature has not been as widely adopted among plant biologists, however, presumably because r-protein nomenclature is much more complicated in plants due to gene duplication. Here, we propose compatible upgrades to the homology-guided nomenclature proposed by Ban et al. (2014) so that this naming system can be adopted for widespread use in the plant biology community. We note that Lan et al. (2022) recently proposed updated nomenclature for plant cytosolic ribosomal proteins, focused on Arabidopsis and rice. The nomenclature outlined here is an extension of that proposed by Lan et al. (2022), expanding to include organellar ribosomes and additional species, with the intent that this nomenclature can serve as a template to guide future plant genome annotations. A more detailed comparison highlighting how this naming system builds on the Ban et al. (2014) and Lan et al. (2022) nomenclatures is offered below. At this time, we request community feedback on this proposed nomenclature so that the naming system ultimately chosen represents a broad consensus. Feedback can be communicated to the this working group at plantribosome@gmail.com before July 25th, 2022. Coauthors of this letter and anyone in the scientific community expressing significant interest will then discuss this feedback as a group, reach a consensus agreement, and communicate the updated nomenclature rules through a letter to the editor (expected to be published at The Plant Cell) and the databases at TAIR and MaizeGDB.

plant biology↗

Lettuce seedlings rapidly assemble their microbiome from the environment through deterministic processes

Plant-associated microorganisms have significant impacts on plant biology, ecology, and evolution. Although several studies have examined the factors driving variations in plant microbiomes, the mechanisms underlying the assembly of the plant microbiome are still poorly understood. In this study, we used gnotobiotic plants to test (i) whether seedlings create a selective environment and drive the assembly of root and leaf microbiomes through deterministic or stochastic processes, and (ii) whether seedlings structure the microbiome that is transferred through seeds using deterministic processes and whether this pattern changes when seedlings are exposed to the environmental microbiome. Our results show that the microbiome of gnotobiotic plants (i.e., inherited through seeds) is not under the selective influence of the host plant but changes quickly when plants are exposed to soil microbiomes. Within one week, plants were able to select microorganisms from the inocula, assemble the root microbiome, and assemble the shoot microbiome. This study supports the hypothesis that plants at early developmental stages might exert strong selective activity on their microbiomes and contribute to clarifying the mechanisms of plant microbiome assembly.

plant biology↗

SIZ1 is a nuclear host target of the nematode effector GpRbp1 from Globodera pallida that acts as a negative regulator of basal plant defense to cyst nematodes

Soil-borne cyst nematodes are obligatory sedentary parasites that cause severe losses to cultivation of major crops such as potato and soybean. Cyst nematodes establish specialised permanent feeding sites within the roots of their host by manipulating plant morphology and physiology through secreted effectors. Here we identified host targets of effector GpRbp-1 and studied their roles in plant-nematode interactions. GpRbp-1 was found to interact in yeast and in planta with the potato and Arabidopsis homologues of Siz/PIAS-type E3 SUMO ligase SIZ1. Our results show that a pathogen effector targets the master regulator SIZ1 in plant cells, which has not been demonstrated earlier to our knowledge. The interaction of GpRbp-1 and SIZ1 localizes to the plant nucleus, suggesting that the nuclear functions of SIZ1 as regulator of plant immunity and physiology may be modulated by GpRbp-1. Furthermore, nematode infection assays and transcriptomic profiling indicate that SIZ1 is required for susceptibility to cyst nematodes. So, these data indicate that E3 SUMO ligases may play an important role in plant-nematode interactions. Based on the prediction of SUMO acceptor and interaction sites in GpRbp-1, a model is proposed in which the effector may recruit SIZ1 to be SUMOylated for full functionality in host cells.\n\nSignificance statementHere we show that a pathogen effector can target SIZ1, a key protein involved in regulating several aspects of plant biology, most likely to manipulate the SUMOylation of host proteins for successful infection of plants.

plant biology↗

Fluorescence Lifetime Imaging in Plants: Practical guidelines for multiplexing, label-free imaging and data analysis

Fluorescence Lifetime Imaging Microscopy (FLIM) is becoming a key technique for live-cell multiplexing and label-free detection of endogenous fluorescence in animal systems. Its potential in plant biology, however remains largely unexploited, despite its integration into a number of commercial microscopy setups. Here, we build a systematic, subcellular FLIM reference library for a panel of genetically-encoded fluorophores. Lifetime imaging of different fluorescent reporters targeted to distinct organelles (nucleus, plasma membrane, endoplasmic reticulum, etc.) and subsequent analysis of the decay curves using different modes allowed us to simultaneously discriminate up to four spectrally overlapping fluorophores solely by lifetime differences in specific subcellular compartments. Remarkably, fluorophores with lifetimes differing by as little as 0.1 ns can be reliably discriminated using one of these modes, namely Phasor-based analysis. Moreover, we show that the same fluorophores exhibit compartment-specific lifetime shifts, enabling Phasor separation of identical tags residing in different organelles. Finally, we extended the Phasor approach to label-free imaging of endogenous plant fluorescence. Together, these results establish FLIM-Phasor as a versatile, multiplex-capable tool for plant cell biology, opening new avenues for imaging strategies that yield higher content information at both cellular and tissue-level resolution.

Plant Biology↗

The Existence and Uniqueness of Solutions in the Leaf Photosynthesis-Transpiration-Stomatal Conductance Model

The An-E-gs model, which consistently describes leaf photosynthesis (An), transpiration (E), and stomatal conductance (gs), is widely recognized and utilized as a "standard model" for quantifying these processes in terrestrial plants. However, since its proposal over 30 years ago, the model has faced a longstanding challenge: the "solution selection" problem, arising from the existence of multiple solutions with no guarantee that the obtained solution is correct. In this study, we mathematically proved that the An-E-gs model always has a unique solution satisfying the criteria gs > 0 and Ci > 0, where Ci represents the CO2 concentration inside the leaf. This result establishes a rigorous mathematical theorem on the existence and uniqueness of solutions in the model. The theorem resolves the longstanding "solution selection" problem by enabling the unambiguous identification of the correct solution through selecting the unique solution that satisfies these criteria. Furthermore, the theorem ensures the validity of past estimations that satisfy these criteria and guarantees that future studies applying these criteria will yield correct estimations. These findings provide a robust mathematical foundation for the An-E-gs model, reinforcing its role as the standard model for estimating leaf photosynthesis, transpiration, and stomatal conductance across diverse disciplines, from plant biology to climate science and beyond.

plant biology↗

Metabolic trade-offs in sugar beet under drought and beet leaf miner infestation: implications for herbivore success

Increasing frequency of drought under climate change threatens crop production and intensifies pest pressures, yet the interactive effects of drought and herbivory on plant metabolism and ecological outcomes remain incompletely understood. We subjected sugar beet (Beta vulgaris) plants to moderate and high drought, alone or with infestation by the beet leaf miner (Pegomya cunicularia), and analyzed plant physiology, central metabolites, and volatile organic compound (VOC) emissions. Drought alone reduced growth and photosynthetic efficiency, while combined stress led to accentuated metabolic reprogramming, including increased amino acids and organic acids, and a concurrent suppression and alteration of VOC emissions, especially in plants affected by high drought and leaf mining. The resulting changes in VOC blends reduced plant attractiveness to ovipositing females, leading to fewer eggs laid on severely stressed plants. Contrastingly, moderate drought generated a nutrient-rich environment: larvae feeding on these plants exhibited the highest growth rates, larger pupae and adults, and increased feeding damage. High drought strongly limited both plant water content and larval development. These findings reveal a stress-dependent tradeoff between enhanced leaf nutritional quality and reduced host detectability, underscoring the importance of integrating multi-stress plant biology for future pest management and crop resilience. HighlightCombined drought and herbivory in sugar beet plant triggered stress-intensity-dependent trade-offs between leaf nutritional quality and volatile emissions, affecting beet leaf miner performance and oviposition--highlighting how multi-stress interactions shape plant-insect dynamics. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/708914v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@1d92105org.highwire.dtl.DTLVardef@70693org.highwire.dtl.DTLVardef@140dc82org.highwire.dtl.DTLVardef@14cf411_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG

plant biology↗