A twelve-step program for evolving multicellularity and a division of labor

Kirk, David L.

doi:10.1002/bies.20197

Cited by 278 publications

(382 citation statements)

References 44 publications

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“…Likewise, increasing in size is initially favoured by individual cells since multicellular organisms do not have the size limit which is mainly imposed by diffusion. As the surface-to-volume ratio decreases in a given single cell, with increased size they will experience difficulty in obtaining the required nutrients and transporting the cellular waste products out the cell [26,28].…”

Section: St Step: Embeddingmentioning

confidence: 99%

“…In [34] a twelve-step program for the grouping step in V. carteri is considered. In this process, motility and mitosis activity compete for the same cellular machinery and cell destiny is determined finally by the location of microtubule organizing centre.…”

Section: A New Approach For Groupingmentioning

confidence: 99%

“…The activity of the microtubule organizing centre mainly depends on its location in the cell and can serve either as a basal body which is related to the flagellar synthesis and consequently cell motion or a mitotic spindle which aids the segregation of the chromosomes during mitosis [35]. This germsoma dichotomy is generated during the early embryogenesis and results in specifying two cell types; the somatic cells which are non-reproductive and only vegetative and the germ cell which performs the exclusively reproductive task [34].…”

Section: A New Approach For Groupingmentioning

confidence: 99%

“…Consequently, these somatic cells will not go under the cell growth or division. Lacking the division ability, they do not participate in the reproductive functions and offspring but accomplish the survival task by flagellar action [34].…”

Section: A New Approach For Groupingmentioning

confidence: 99%

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From nature to maths: Improving forecasting performance in subspace-based methods using genetics Colonial Theory

Hassani

Ghodsi

Silva

et al. 2016

Digital Signal Processing

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Many scientific fields consider accurate and reliable forecasting methods as important decision-making tools in the modern age amidst increasing volatility and uncertainty. As such there exists an opportune demand for theoretical developments which can result in more accurate forecasts. Inspired by Colonial Theory, this paper seeks to bring about considerable improvements to the field of time series analysis and forecasting by identifying certain core characteristics of Colonial Theory which are subsequently exploited in introducing a novel approach for the grouping step of subspace based methods. The proposed algorithm shows promising results in terms of improved performances in noise filtering and forecasting of time series. The reliability and validity of the proposed algorithm is evaluated and compared with popular forecasting models with the results being thoroughly evaluated for statistical significance and thereby adding more confidence and value to the findings of this research.

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Section: St Step: Embeddingmentioning

confidence: 99%

Section: A New Approach For Groupingmentioning

confidence: 99%

Section: A New Approach For Groupingmentioning

confidence: 99%

Section: A New Approach For Groupingmentioning

confidence: 99%

See 2 more Smart Citations

From nature to maths: Improving forecasting performance in subspace-based methods using genetics Colonial Theory

Hassani

Ghodsi

Silva

et al. 2016

Digital Signal Processing

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“…Chlamydomonas belongs to a conspicuous green algae lineage Volvocine, which represents an excellent model system for exploring the events during evolutionary transition from unicellular to multicellular organisms [7]. Volvox carteri, the most evolved species in Volvocine, diverged from unicellular ancestor nearly 200 million years ago and has similar protein coding potentials compared to Chlamydomonas [810].…”

mentioning

confidence: 99%

microRNAs in a multicellular green alga Volvox carteri

2013

Sci. China Life Sci.

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microRNAs (miRNAs) have emerged as key components in the eukaryotic gene regulatory network. We and others have previously identified many miRNAs in a unicellular green alga, Chlamydomonas reinhardtii. To investigate whether mi-RNA-mediated gene regulation is a general mechanism in green algae and how miRNAs have been evolved in the green algal lineage, we examined small RNAs in Volvox carteri, a multicellular species in the same family with Chlamydomonas reinhardtii. We identified 174 miRNAs in Volvox, with many of them being highly enriched in gonidia or somatic cells. The targets of the miRNAs were predicted and many of them were subjected to miRNA-mediated cleavage in vivo, suggesting that miRNAs play regulatory roles in the biology of green algae. Our catalog of miRNAs and their targets provides a resource for further studies on the evolution, biological functions, and genomic properties of miRNAs in green algae.Volvox, small RNA, microRNA, conservation, evolution Citation:Li JR, Wu Y, Qi YJ. microRNAs in a multicellular green alga Volvox carter.

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Model Plants for Understanding Evolution

Coates

2016

Encyclopedia of Life Sciences

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Plants are a hugely diverse group of organisms, including both land plants and aquatic algae, which inhabit a wide range of ecological niches across the planet. All plants arose from a single common ancestor and underwent a diversification that has shaped the earth's atmosphere and climate. One of the most important evolutionary transitions in the earth's history was the transition of plants to land. To understand how plants have evolved to possess such diversity of form, function and habitat requires in‐depth knowledge and comparison of plant development and physiology from a wide range of representative species. There are several key ‘traditional’ model organisms that have helped us understand plant evolution to date. However, there are significant gaps in our knowledge due to under‐representation in some parts of the green phylogenetic tree. The time is right to start filling these gaps using new and ‘up‐and‐coming’ green model organisms. Key Concepts Plants are a very diverse group of organisms that include both aquatic algae and land plants. Land plants arose nearly half a billion years ago, while flowering plants arose more recently. Model organisms are assumed to be representative of the biology of a larger group of organisms e.g. eukaryotes, plants and flowering plants. Most plant model organisms are currently land plants, in particular flowering plants. To understand plant evolution, we need better representation by model organisms within algae and non‐flowering plants. With advances in genome sequencing, the challenge is now to find the most experimentally tractable plants to become new model organisms.

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A twelve-step program for evolving multicellularity and a division of labor

Cited by 278 publications

References 44 publications

From nature to maths: Improving forecasting performance in subspace-based methods using genetics Colonial Theory

From nature to maths: Improving forecasting performance in subspace-based methods using genetics Colonial Theory

microRNAs in a multicellular green alga Volvox carteri

Model Plants for Understanding Evolution

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