Opsins, combined with a chromophore, are the primary light-sensing molecules in animals and are crucial for color vision. Throughout animal evolution, duplications and losses of opsin proteins are common, but it is unclear what is driving these gains and losses. Light availability is implicated, and dim environments are often associated with low opsin diversity and loss. Correlations between high opsin diversity and bright environments, however, are tenuous. To test if increased light availability is associated with opsin diversification, we examined diel niche and identified opsins using transcriptomes and genomes of 175 butterflies and moths (Lepidoptera). We found 14 independent opsin duplications associated with bright environments. Estimating their rates of evolution revealed that opsins from diurnal taxa evolve faster—at least 13 amino acids were identified with higher dN/dS rates, with a subset close enough to the chromophore to tune the opsin. These results demonstrate that high light availability increases opsin diversity and evolution rate in Lepidoptera.

While in the movie Deadpool it is possible for a human to recreate an arm from scratch, in reality plants can even surpass that. Not only can they regenerate lost parts, but also the whole plant body can be reborn from a few existing cells. Despite the decades old realization that plant cells possess the ability to regenerate a complete shoot and root system, it is only now that the underlying mechanisms are being unraveled. De novo plant regeneration involves the initiation of regenerative mass, acquisition of the pluripotent state, reconstitution of stem cells and assembly of regulatory interactions. Recent studies have furthered our understanding on the making of a complete plant system in the absence of embryonic positional cues. We review the recent studies probing the molecular mechanisms of de novo plant regeneration in response to external inductive cues and our current knowledge of direct reprogramming of root to shoot and vice versa. We further discuss how de novo regeneration can be exploited to meet the demands of green culture industries and to serve as a general model to address the fundamental questions of regeneration across the plant kingdom.

Opsins are the primary light-sensing molecules in animals. Opsins have peak sensitivities to specific wavelengths which allows for color discrimination. The opsin protein family has undergone duplications and losses, dynamically expanding and contracting the number of opsins, throughout invertebrate evolution, but it is unclear what drives this diversity. Light availability, however, appears to play a significant role. Dim environments are associated with low opsin diversity in deepsea fishes and cave-dwelling animals. Correlations between high opsin diversity and bright environments, however, are tenuous. Insects are a good system to test whether opsin expansion is associated with greater light availability because they are enormously diverse and consequently display large variation in diel activity. To test this, we used 200 insect transcriptomes and examined the patterns of opsin diversity associated with diel-niche. We focused on the butterflies and moths (Lepidoptera) because this group has significant variation in diel-niche, substantial opsin recovery (n=100), and particularly well-curated transcriptomes. We identified opsin duplications using ancestral state reconstruction and examined rates of opsin evolution, and compared them across dielniches. We find Lepidoptera species active in high light environments have independently expanded their opsins at least 10 times. Opsins from diurnal taxa also evolve faster; 13 amino acids were identified across different opsins that were under diversifying selection. Structural models reveal that four of these amino acids overlap with opsin color-tuning regions. By parsing nocturnal and diurnal switches, we show that light environment can influence gene diversity, selection, and protein structure of opsins in Lepidoptera.

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Two-hundred-and-forty-eight species of moths were recorded during surveys conducted over 40 nights in Dehradun and Mussoorie in Dehradun District and Devalsari in Tehri Garhwal District in Uttarakhand.

With a great variety of shapes and sizes, compound eye morphologies give insight into visual ecology, development, and evolution, and inspire novel engineering. In contrast to our own camera-type eyes, compound eyes reveal their resolution, sensitivity, and field of view externally, provided they have spherical curvature and orthogonal ommatidia. Non-spherical compound eyes with skewed ommatidia require measuring internal structures, such as with MicroCT (µCT). Thus far, there is no efficient tool to characterize compound eye optics, from either 2D or 3D data, automatically. Here we present two open-source programs: (1) the ommatidia detecting algorithm (ODA), which measures ommatidia count and diameter in 2D images, and (2) a µCT pipeline (ODA-3D), which calculates anatomical acuity, sensitivity, and field of view across the eye by applying the ODA to 3D data. We validate these algorithms on images, images of replicas, and µCT eye scans from ants, fruit flies, moths, and a bee.

A new species of the genus Theretra Hübner [1819], Theretra shendurneensis sp. nov., is described from Shendurney Wildlife Sanctuary, southern Western Ghats, India, based on external and internal morphology, and genetic markers. The new species is compared in external and male genital morphology, genetic divergence and geographic range with three similar and closely related species: T. boisduvalii (Bugnion, 1839), T. sumatrensis (Joicey and Kaye, 1917) and T. rhesus (Boisduval, [1875]). Recent changes to the classification of Theretra are discussed and rejected.

The arthropod compound eye is the most prevalent eye type in the animal kingdom, with an impressive range of shapes and sizes. Studying its natural range of morphologies provides insight into visual ecology, development, and evolution. In contrast to the camera-type eyes we possess, external structures of compound eyes often reveal resolution, sensitivity, and field of view if the eye is spherical. Non-spherical eyes, however, require measuring internal structures using imaging technology like MicroCT (μCT). μCT is a burgeoning 3D X-Ray imaging technique that has been used to image arthropod muscles, brains, ocelli, and eyes. Thus far, there is no efficient tool to automate characterizing compound eye optics in either 2D or 3D data. We present two open-source programs: (1) the ommatidia detecting algorithm (ODA), which automatically measures ommatidia count and diameter in 2D images, and (2) a μCT pipeline (ODA-3D), which calculates anatomical acuity, sensitivity, and field of view across the eye by applying the ODA to 3D data. We validate these algorithms on images, images of replicas, and μCT scans from eyes of ants, fruit flies, moths, and a bee.