�ݺ�ߣshows by User: SudershanMishra

�ݺ�ߣshows by User: SudershanMishra / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: SudershanMishra / Sat, 11 Jan 2020 16:07:32 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: SudershanMishra Hacking photosynthesis /slideshow/hacking-photosynthesis/218903343 hackingphotosynthesis-200111160732
Hacking Photosynthesis- Sacrificing the photorespiratory process to realize global food security]]>
Hacking Photosynthesis- Sacrificing the photorespiratory process to realize global food security]]> Sat, 11 Jan 2020 16:07:32 GMT /slideshow/hacking-photosynthesis/218903343 SudershanMishra@slideshare.net(SudershanMishra) Hacking photosynthesis SudershanMishra Hacking Photosynthesis- Sacrificing the photorespiratory process to realize global food security <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hackingphotosynthesis-200111160732-thumbnail.jpg?width=120&height=120&fit=bounds" /> Hacking Photosynthesis- Sacrificing the photorespiratory process to realize global food security

Hacking photosynthesis from Sudershan Mishra

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0 Clocking the floral transition from phytochromes to molcular or circadian clocks /slideshow/clocking-the-floral-transition-from-phytochromes-to-molcular-or-circadian-clocks-116125533/116125533 clockingthefloraltransitionfromphytochromestomolcularorcircadianclocks-180923141738
The timing of floral transition has a direct impact on reproductive success. One of the most important environmental factors that affect this transition is the change in day length (photoperiod). Classical experiments imply that plants monitor photoperiods in the leaf, and transmit that information coded within an elusive signal dubbed florigen to the apex, to reprogram development. Thus, flowering is the result of the coordination between genetic information and environmental cues. Phytochromes were considered central to this coordination in deciding the flowering time, for most part of the chronobiology research. However, intensive research in Arabidopsis over the past two decades, aided by functional genomics tools has revealed a larger role of circadian clocks in driving the flux towards flowering. Genome wide chromatin immunoprecipitation techniques have revealed that plants have evolved highly complex gene regulatory networks to modulate the timing of the floral transition. At least 306 genes and eight genetic pathways affect flowering, including the photoperiod, autonomous, vernalization, ambient temperature, and GA dependent pathways. Each pathway is centrally governed by a module of transcription factors, whose abundance in turn is regulated by daylight sensing (phytochromes) as well as generation of an internal rhythm (circadian clocks). The physiological response (flowering) occurs only when there is coincidence between the internal rhythm and phytochrome mediated abundance of the transcription factors. In case of Arabidopsis the CO-FT module is central to timing of flowering where daylight mediated CO (CONSTANS) expression leads to subsequent photoperiodic induction of the expression of FLOWERING LOCUS T (FT) gene, which might encode a major component of florigen. Similar molecular clock regulated modules have been reported in case of crops such as the Ghd7-Ehd1-Hd3a/RFT1 in case of rice and PPD1-PRR7 module in case of wheat and barley. However, whether these modules are conserved among cereal crops or they vary from one crop to another, remains to be ascertained]]>
The timing of floral transition has a direct impact on reproductive success. One of the most important environmental factors that affect this transition is the change in day length (photoperiod). Classical experiments imply that plants monitor photoperiods in the leaf, and transmit that information coded within an elusive signal dubbed florigen to the apex, to reprogram development. Thus, flowering is the result of the coordination between genetic information and environmental cues. Phytochromes were considered central to this coordination in deciding the flowering time, for most part of the chronobiology research. However, intensive research in Arabidopsis over the past two decades, aided by functional genomics tools has revealed a larger role of circadian clocks in driving the flux towards flowering. Genome wide chromatin immunoprecipitation techniques have revealed that plants have evolved highly complex gene regulatory networks to modulate the timing of the floral transition. At least 306 genes and eight genetic pathways affect flowering, including the photoperiod, autonomous, vernalization, ambient temperature, and GA dependent pathways. Each pathway is centrally governed by a module of transcription factors, whose abundance in turn is regulated by daylight sensing (phytochromes) as well as generation of an internal rhythm (circadian clocks). The physiological response (flowering) occurs only when there is coincidence between the internal rhythm and phytochrome mediated abundance of the transcription factors. In case of Arabidopsis the CO-FT module is central to timing of flowering where daylight mediated CO (CONSTANS) expression leads to subsequent photoperiodic induction of the expression of FLOWERING LOCUS T (FT) gene, which might encode a major component of florigen. Similar molecular clock regulated modules have been reported in case of crops such as the Ghd7-Ehd1-Hd3a/RFT1 in case of rice and PPD1-PRR7 module in case of wheat and barley. However, whether these modules are conserved among cereal crops or they vary from one crop to another, remains to be ascertained]]> Sun, 23 Sep 2018 14:17:38 GMT /slideshow/clocking-the-floral-transition-from-phytochromes-to-molcular-or-circadian-clocks-116125533/116125533 SudershanMishra@slideshare.net(SudershanMishra) Clocking the floral transition from phytochromes to molcular or circadian clocks SudershanMishra The timing of floral transition has a direct impact on reproductive success. One of the most important environmental factors that affect this transition is the change in day length (photoperiod). Classical experiments imply that plants monitor photoperiods in the leaf, and transmit that information coded within an elusive signal dubbed florigen to the apex, to reprogram development. Thus, flowering is the result of the coordination between genetic information and environmental cues. Phytochromes were considered central to this coordination in deciding the flowering time, for most part of the chronobiology research. However, intensive research in Arabidopsis over the past two decades, aided by functional genomics tools has revealed a larger role of circadian clocks in driving the flux towards flowering. Genome wide chromatin immunoprecipitation techniques have revealed that plants have evolved highly complex gene regulatory networks to modulate the timing of the floral transition. At least 306 genes and eight genetic pathways affect flowering, including the photoperiod, autonomous, vernalization, ambient temperature, and GA dependent pathways. Each pathway is centrally governed by a module of transcription factors, whose abundance in turn is regulated by daylight sensing (phytochromes) as well as generation of an internal rhythm (circadian clocks). The physiological response (flowering) occurs only when there is coincidence between the internal rhythm and phytochrome mediated abundance of the transcription factors. In case of Arabidopsis the CO-FT module is central to timing of flowering where daylight mediated CO (CONSTANS) expression leads to subsequent photoperiodic induction of the expression of FLOWERING LOCUS T (FT) gene, which might encode a major component of florigen. Similar molecular clock regulated modules have been reported in case of crops such as the Ghd7-Ehd1-Hd3a/RFT1 in case of rice and PPD1-PRR7 module in case of wheat and barley. However, whether these modules are conserved among cereal crops or they vary from one crop to another, remains to be ascertained <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clockingthefloraltransitionfromphytochromestomolcularorcircadianclocks-180923141738-thumbnail.jpg?width=120&height=120&fit=bounds" /> The timing of floral transition has a direct impact on reproductive success. One of the most important environmental factors that affect this transition is the change in day length (photoperiod). Classical experiments imply that plants monitor photoperiods in the leaf, and transmit that information coded within an elusive signal dubbed florigen to the apex, to reprogram development. Thus, flowering is the result of the coordination between genetic information and environmental cues. Phytochromes were considered central to this coordination in deciding the flowering time, for most part of the chronobiology research. However, intensive research in Arabidopsis over the past two decades, aided by functional genomics tools has revealed a larger role of circadian clocks in driving the flux towards flowering. Genome wide chromatin immunoprecipitation techniques have revealed that plants have evolved highly complex gene regulatory networks to modulate the timing of the floral transition. At least 306 genes and eight genetic pathways affect flowering, including the photoperiod, autonomous, vernalization, ambient temperature, and GA dependent pathways. Each pathway is centrally governed by a module of transcription factors, whose abundance in turn is regulated by daylight sensing (phytochromes) as well as generation of an internal rhythm (circadian clocks). The physiological response (flowering) occurs only when there is coincidence between the internal rhythm and phytochrome mediated abundance of the transcription factors. In case of Arabidopsis the CO-FT module is central to timing of flowering where daylight mediated CO (CONSTANS) expression leads to subsequent photoperiodic induction of the expression of FLOWERING LOCUS T (FT) gene, which might encode a major component of florigen. Similar molecular clock regulated modules have been reported in case of crops such as the Ghd7-Ehd1-Hd3a/RFT1 in case of rice and PPD1-PRR7 module in case of wheat and barley. However, whether these modules are conserved among cereal crops or they vary from one crop to another, remains to be ascertained

Clocking the floral transition from phytochromes to molcular or circadian clocks from Sudershan Mishra

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0 C4 rice - Tweaking Rice Physiology for Second green revolution /slideshow/c4-rice-tweaking-rice-physiology-for-second-green-revolution/79236366 c4riceseminar-170829040032
Rice is a staple food crop for more than half of world’s population. The success of green revolution that began in 1960’s led to a tenfold increase in rice yield but it is clear now that the gains from the grains of first green revolution have exhausted. By 2050 there would be 1309 million tonnes demand of rice and C3 rice even when best managed can yield only 915 million tones. Increasing radiation use efficiency (RUE), water use efficiency (WUE) and nutrient use efficiency (NUE) are the contemporary approaches being tested on a wider scale. c.C4 type photosynthesis due to its carbon dioxide tunneling system and negligible photorespiration is much more efficient than the C3 system even at tropical temperatures where rice is generally grown. Even though engineering C4 rice requires syndromic large scale tweaking in physiology, advances in genome wide deep sequencing (popularly called as Next gen Sequencing or NSG) and genome editing platforms have brought the possibility of making C4 rice closer than ever before. A selected group of C4 genes have been inserted into rice through mutagenesis and hybridization and their effects recorded in transgenics upto 3 generations. The compartmentalized overexpression of key C4 genes using Rice DNA activation tagging constitutes another approach towards C4 rice. Because C4 plants have evolved independently multiple times from C3 origins, it is being investigated whether the key genes and gene regulatory networks that regulate C4 plants have been recruited from C3 ancestors. To facilitate this comparative transcriptomes analysis of C3 vs. C4 leaves and other C3 and C4 tissues has been done and thus the exact number of genes differentially expressing between C3 and C4 can now be calculated. High throughput OMIC data thus generated is cross referenced with whole genome databases and this has yielded sufficient number of candidate genes for bundle sheath specific expression. Fox hunting systems and Tos 17 transposable systems have also yielded a set of interesting mutants in this regard. Identification of mutants through DHPLC and TILLING are used to track down whole genome duplication events in the evolution towards C4 rice. While the discovery of cis acting sequences in C3 to C4 transition is a favorable advance, our further studies are limited by the poor resolution of transcript profiles and epigenetic signatures. Availability of only a few models of in silico studies about performance of C4 rice under dense crop canopies is another limitation. ]]>
Rice is a staple food crop for more than half of world’s population. The success of green revolution that began in 1960’s led to a tenfold increase in rice yield but it is clear now that the gains from the grains of first green revolution have exhausted. By 2050 there would be 1309 million tonnes demand of rice and C3 rice even when best managed can yield only 915 million tones. Increasing radiation use efficiency (RUE), water use efficiency (WUE) and nutrient use efficiency (NUE) are the contemporary approaches being tested on a wider scale. c.C4 type photosynthesis due to its carbon dioxide tunneling system and negligible photorespiration is much more efficient than the C3 system even at tropical temperatures where rice is generally grown. Even though engineering C4 rice requires syndromic large scale tweaking in physiology, advances in genome wide deep sequencing (popularly called as Next gen Sequencing or NSG) and genome editing platforms have brought the possibility of making C4 rice closer than ever before. A selected group of C4 genes have been inserted into rice through mutagenesis and hybridization and their effects recorded in transgenics upto 3 generations. The compartmentalized overexpression of key C4 genes using Rice DNA activation tagging constitutes another approach towards C4 rice. Because C4 plants have evolved independently multiple times from C3 origins, it is being investigated whether the key genes and gene regulatory networks that regulate C4 plants have been recruited from C3 ancestors. To facilitate this comparative transcriptomes analysis of C3 vs. C4 leaves and other C3 and C4 tissues has been done and thus the exact number of genes differentially expressing between C3 and C4 can now be calculated. High throughput OMIC data thus generated is cross referenced with whole genome databases and this has yielded sufficient number of candidate genes for bundle sheath specific expression. Fox hunting systems and Tos 17 transposable systems have also yielded a set of interesting mutants in this regard. Identification of mutants through DHPLC and TILLING are used to track down whole genome duplication events in the evolution towards C4 rice. While the discovery of cis acting sequences in C3 to C4 transition is a favorable advance, our further studies are limited by the poor resolution of transcript profiles and epigenetic signatures. Availability of only a few models of in silico studies about performance of C4 rice under dense crop canopies is another limitation. ]]> Tue, 29 Aug 2017 04:00:32 GMT /slideshow/c4-rice-tweaking-rice-physiology-for-second-green-revolution/79236366 SudershanMishra@slideshare.net(SudershanMishra) C4 rice - Tweaking Rice Physiology for Second green revolution SudershanMishra Rice is a staple food crop for more than half of world’s population. The success of green revolution that began in 1960’s led to a tenfold increase in rice yield but it is clear now that the gains from the grains of first green revolution have exhausted. By 2050 there would be 1309 million tonnes demand of rice and C3 rice even when best managed can yield only 915 million tones. Increasing radiation use efficiency (RUE), water use efficiency (WUE) and nutrient use efficiency (NUE) are the contemporary approaches being tested on a wider scale. c.C4 type photosynthesis due to its carbon dioxide tunneling system and negligible photorespiration is much more efficient than the C3 system even at tropical temperatures where rice is generally grown. Even though engineering C4 rice requires syndromic large scale tweaking in physiology, advances in genome wide deep sequencing (popularly called as Next gen Sequencing or NSG) and genome editing platforms have brought the possibility of making C4 rice closer than ever before. A selected group of C4 genes have been inserted into rice through mutagenesis and hybridization and their effects recorded in transgenics upto 3 generations. The compartmentalized overexpression of key C4 genes using Rice DNA activation tagging constitutes another approach towards C4 rice. Because C4 plants have evolved independently multiple times from C3 origins, it is being investigated whether the key genes and gene regulatory networks that regulate C4 plants have been recruited from C3 ancestors. To facilitate this comparative transcriptomes analysis of C3 vs. C4 leaves and other C3 and C4 tissues has been done and thus the exact number of genes differentially expressing between C3 and C4 can now be calculated. High throughput OMIC data thus generated is cross referenced with whole genome databases and this has yielded sufficient number of candidate genes for bundle sheath specific expression. Fox hunting systems and Tos 17 transposable systems have also yielded a set of interesting mutants in this regard. Identification of mutants through DHPLC and TILLING are used to track down whole genome duplication events in the evolution towards C4 rice. While the discovery of cis acting sequences in C3 to C4 transition is a favorable advance, our further studies are limited by the poor resolution of transcript profiles and epigenetic signatures. Availability of only a few models of in silico studies about performance of C4 rice under dense crop canopies is another limitation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/c4riceseminar-170829040032-thumbnail.jpg?width=120&height=120&fit=bounds" /> Rice is a staple food crop for more than half of world’s population. The success of green revolution that began in 1960’s led to a tenfold increase in rice yield but it is clear now that the gains from the grains of first green revolution have exhausted. By 2050 there would be 1309 million tonnes demand of rice and C3 rice even when best managed can yield only 915 million tones. Increasing radiation use efficiency (RUE), water use efficiency (WUE) and nutrient use efficiency (NUE) are the contemporary approaches being tested on a wider scale. c.C4 type photosynthesis due to its carbon dioxide tunneling system and negligible photorespiration is much more efficient than the C3 system even at tropical temperatures where rice is generally grown. Even though engineering C4 rice requires syndromic large scale tweaking in physiology, advances in genome wide deep sequencing (popularly called as Next gen Sequencing or NSG) and genome editing platforms have brought the possibility of making C4 rice closer than ever before. A selected group of C4 genes have been inserted into rice through mutagenesis and hybridization and their effects recorded in transgenics upto 3 generations. The compartmentalized overexpression of key C4 genes using Rice DNA activation tagging constitutes another approach towards C4 rice. Because C4 plants have evolved independently multiple times from C3 origins, it is being investigated whether the key genes and gene regulatory networks that regulate C4 plants have been recruited from C3 ancestors. To facilitate this comparative transcriptomes analysis of C3 vs. C4 leaves and other C3 and C4 tissues has been done and thus the exact number of genes differentially expressing between C3 and C4 can now be calculated. High throughput OMIC data thus generated is cross referenced with whole genome databases and this has yielded sufficient number of candidate genes for bundle sheath specific expression. Fox hunting systems and Tos 17 transposable systems have also yielded a set of interesting mutants in this regard. Identification of mutants through DHPLC and TILLING are used to track down whole genome duplication events in the evolution towards C4 rice. While the discovery of cis acting sequences in C3 to C4 transition is a favorable advance, our further studies are limited by the poor resolution of transcript profiles and epigenetic signatures. Availability of only a few models of in silico studies about performance of C4 rice under dense crop canopies is another limitation.

C4 rice - Tweaking Rice Physiology for Second green revolution from Sudershan Mishra

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0 Physiological parameters affecting crop yield /slideshow/physiological-parameters-affecting-crop-yield/79236307 physiologicalinterventionsaffectingcropyield-170829035736
full analysis of physiological crop growth parameters]]>
full analysis of physiological crop growth parameters]]> Tue, 29 Aug 2017 03:57:36 GMT /slideshow/physiological-parameters-affecting-crop-yield/79236307 SudershanMishra@slideshare.net(SudershanMishra) Physiological parameters affecting crop yield SudershanMishra full analysis of physiological crop growth parameters <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/physiologicalinterventionsaffectingcropyield-170829035736-thumbnail.jpg?width=120&height=120&fit=bounds" /> full analysis of physiological crop growth parameters

Physiological parameters affecting crop yield from Sudershan Mishra

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0 Crop idiotypes /slideshow/crop-idiotypes-79236244/79236244 cropidiotypes-170829035418
The presentation discusses a variety of prescribed idiotypes across major crops ]]>
The presentation discusses a variety of prescribed idiotypes across major crops ]]> Tue, 29 Aug 2017 03:54:18 GMT /slideshow/crop-idiotypes-79236244/79236244 SudershanMishra@slideshare.net(SudershanMishra) Crop idiotypes SudershanMishra The presentation discusses a variety of prescribed idiotypes across major crops <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cropidiotypes-170829035418-thumbnail.jpg?width=120&height=120&fit=bounds" /> The presentation discusses a variety of prescribed idiotypes across major crops

Crop idiotypes from Sudershan Mishra

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0 AUXIN a morphogen in plant growth and development /slideshow/auxin-a-morphogen-in-plant-growth-and-development/79236186 seminarpptfinal-170829035126
the presentation encompasses auxin synthesis, conjugation, degradation, polar and lateral transport and signalling and how all of these together have a bearing on programming and design of the whole plan]]>
the presentation encompasses auxin synthesis, conjugation, degradation, polar and lateral transport and signalling and how all of these together have a bearing on programming and design of the whole plan]]> Tue, 29 Aug 2017 03:51:26 GMT /slideshow/auxin-a-morphogen-in-plant-growth-and-development/79236186 SudershanMishra@slideshare.net(SudershanMishra) AUXIN a morphogen in plant growth and development SudershanMishra the presentation encompasses auxin synthesis, conjugation, degradation, polar and lateral transport and signalling and how all of these together have a bearing on programming and design of the whole plan <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/seminarpptfinal-170829035126-thumbnail.jpg?width=120&height=120&fit=bounds" /> the presentation encompasses auxin synthesis, conjugation, degradation, polar and lateral transport and signalling and how all of these together have a bearing on programming and design of the whole plan

AUXIN a morphogen in plant growth and development from Sudershan Mishra

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0 Photoperiodism /SudershanMishra/photoperiodism-79236089 photoperiodism-170829034739
Everything about photoperiodism from scratch to smart, from the oldest models to the latest models as well as proposed one, exclusive and elusive illustrations and models for proper understanding ]]>
Everything about photoperiodism from scratch to smart, from the oldest models to the latest models as well as proposed one, exclusive and elusive illustrations and models for proper understanding ]]> Tue, 29 Aug 2017 03:47:39 GMT /SudershanMishra/photoperiodism-79236089 SudershanMishra@slideshare.net(SudershanMishra) Photoperiodism SudershanMishra Everything about photoperiodism from scratch to smart, from the oldest models to the latest models as well as proposed one, exclusive and elusive illustrations and models for proper understanding <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/photoperiodism-170829034739-thumbnail.jpg?width=120&height=120&fit=bounds" /> Everything about photoperiodism from scratch to smart, from the oldest models to the latest models as well as proposed one, exclusive and elusive illustrations and models for proper understanding

Photoperiodism from Sudershan Mishra

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/hackingphotosynthesis-200111160732-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/hacking-photosynthesis/218903343 Hacking photosynthesis https://cdn.slidesharecdn.com/ss_thumbnails/clockingthefloraltransitionfromphytochromestomolcularorcircadianclocks-180923141738-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/clocking-the-floral-transition-from-phytochromes-to-molcular-or-circadian-clocks-116125533/116125533 Clocking the floral tr... https://cdn.slidesharecdn.com/ss_thumbnails/c4riceseminar-170829040032-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/c4-rice-tweaking-rice-physiology-for-second-green-revolution/79236366 C4 rice - Tweaking Ri...