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	<title>foxtail millet &#8211; Science</title>
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	<title>foxtail millet &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Scientists Map the Genes That Decide the Color and Milling Quality of Foxtail Millet Grain</title>
		<link>https://scienmag.com/scientists-map-the-genes-that-decide-the-color-and-milling-quality-of-foxtail-millet-grain/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 21:54:14 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[candidate genes for millet traits]]></category>
		<category><![CDATA[chromosome regions associated with millet traits]]></category>
		<category><![CDATA[DNA regions influencing millet yield]]></category>
		<category><![CDATA[foxtail millet]]></category>
		<category><![CDATA[Foxtail millet genetic mapping]]></category>
		<category><![CDATA[genetic basis of millet grain quality]]></category>
		<category><![CDATA[genetic dissection of millet traits]]></category>
		<category><![CDATA[genomic hotspots in millet]]></category>
		<category><![CDATA[glycosyltransferase]]></category>
		<category><![CDATA[grain color]]></category>
		<category><![CDATA[kernel yellowness]]></category>
		<category><![CDATA[marker-assisted selection]]></category>
		<category><![CDATA[millet breeding for uniform kernel color]]></category>
		<category><![CDATA[millet grain color genetics]]></category>
		<category><![CDATA[millet milling quality traits]]></category>
		<category><![CDATA[milling recovery]]></category>
		<category><![CDATA[multi-environment analysis]]></category>
		<category><![CDATA[plant breeding]]></category>
		<category><![CDATA[QTL analysis in millet breeding]]></category>
		<category><![CDATA[QTL mapping]]></category>
		<category><![CDATA[recombinant inbred lines]]></category>
		<category><![CDATA[recombinant inbred lines in millet studies]]></category>
		<category><![CDATA[Setaria italica]]></category>
		<category><![CDATA[whole-genome resequencing]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=198964</guid>

					<description><![CDATA[A multi-environment genetic study in foxtail millet has identified 45 QTLs for grain color and milling recovery traits and pinpointed a glycosyltransferase gene as a candidate for kernel yellowness.]]></description>
										<content:encoded><![CDATA[<p>Foxtail millet has fed communities across northern China for thousands of years, yet the genetic secrets behind its most marketable traits, the color of its grain and how much edible kernel each harvest yields after milling, have remained frustratingly incomplete. Now, a team of Chinese researchers has delivered one of the most comprehensive genetic dissections of these traits to date, scanning the genomes of hundreds of breeding lines across eight different growing environments to pinpoint the DNA regions that control them. The study, published in Theoretical and Applied Genetics, not only catalogues dozens of genomic hotspots but also singles out a promising candidate gene that could help breeders develop millet with more appealing, uniformly yellow kernels.</p>
<p>The research team, led by Wei Zhou and Hui Zhi, who contributed equally, together with senior authors Zhijun Qiao and Xianmin Diao, focused on a population of 256 recombinant inbred lines derived from a cross between two foxtail millet varieties, Jingu 21 and Chuang 29. Recombinant inbred lines are powerful tools for geneticists because each line carries a unique mosaic of DNA segments inherited from the two parents, allowing researchers to link specific chromosome regions, known as quantitative trait loci or QTLs, to measurable traits. To maximize the resolution of their mapping, the team generated an ultra-high-density bin map using whole-genome resequencing, a technique that reads the genetic code of every line and divides the genome into tiny intervals for precise tracking of inherited segments.</p>
<p>The traits under investigation spanned the visual and processing qualities that determine a millet crop&#8217;s commercial fate. The researchers measured three hull color parameters and three kernel color parameters, each expressed as L, a, and b values in the standard CIELAB color space, where L captures lightness, a captures the green-to-red spectrum, and b captures the blue-to-yellow spectrum. In addition, they quantified two milling-related recovery traits: the percentage of grain weight per panicle, abbreviated PGWP, and the percentage of kernel weight, or PKW. These recovery traits essentially measure how much usable grain survives the dehulling and milling process, a critical economic consideration for any cereal crop.</p>
<p>By evaluating all eight traits across eight distinct environments, the team could distinguish genetic effects that are stable and reproducible from those that only appear under particular growing conditions. Across all environments and traits, they detected 74 individual QTL occurrences, which they consolidated into 45 distinct QTLs. Eleven of these loci were reproducible, meaning they were detected in at least two environments, while 34 were environment-specific, appearing only under certain conditions. This distinction matters enormously for breeding: reproducible loci are reliable targets that will deliver consistent improvements regardless of where a variety is grown, whereas environment-specific loci may explain why a variety performs beautifully in one region but disappointingly in another.</p>
<p>Perhaps the most striking finding is how much of this genetic landscape had never been charted before. By comparing the physical positions of their QTLs with previously reported regions, the researchers determined that 39 of the 45 QTLs are putatively novel, while only six overlap with loci described in earlier studies. This suggests that grain color and milling recovery in foxtail millet are governed by a far richer and more complex set of genes than the scientific community had appreciated. The team also identified seven multi-trait QTL clusters, concentrated on chromosomes 1, 2, 3, 5, and 9, where loci influencing different traits physically overlap. Such clusters often indicate pleiotropy, a phenomenon in which a single gene influences multiple characteristics, or simply very tight linkage between separate genes, and they represent especially valuable targets for simultaneous improvement of several quality traits at once.</p>
<p>Within the major QTL intervals, the researchers prioritized 11 genes as candidates for the observed effects. Among them, one gene rose above the rest: Seita.5G392600, which encodes a putative glycosyltransferase, an enzyme family known to modify plant pigments and secondary metabolites by attaching sugar molecules. The evidence supporting this gene as a driver of kernel yellowness came from three independent lines of inquiry. First, the gene sits squarely within a QTL interval associated with the b value, the yellow-blue axis of kernel color. Second, haplotype analysis revealed that natural variations in the gene&#8217;s sequence associate with differences in yellowness across the population. Third, the gene shows detectable expression during grain development, exactly the window in which pigment accumulation would occur.</p>
<p>Glycosyltransferases have a well-documented role in plant coloration. They glycosylate flavonoids, anthocyanins, and other pigment-related compounds, altering their stability, solubility, and ultimately their contribution to tissue color. In cereals, the yellow hue of the kernel is typically driven by carotenoid pigments, and previous work in foxtail millet has implicated genes such as SiPSY1, a phytoene synthase involved in the first committed step of carotenoid biosynthesis, as well as carotenoid cleavage dioxygenases that break pigments down. The identification of a glycosyltransferase as a candidate for kernel yellowness adds a new and somewhat unexpected dimension to this pathway, suggesting that sugar modifications of pigment-related molecules may also shape the final color consumers see in their millet bowls.</p>
<p>Importantly, the researchers identified a rare haplotype of Seita.5G392600 associated with higher kernel yellowness, a version of the gene carried by only a subset of lines in the population. Rare haplotypes like this one are genetic gold for breeders: they represent variation that has not yet been widely exploited in elite cultivars and could be introduced into breeding programs through marker-assisted selection, a technique that uses DNA markers rather than slow visual assessment to track desirable genes through generations of crossing. The authors are appropriately cautious, noting that further validation is required before the gene&#8217;s function is confirmed, but the convergence of QTL co-localization, haplotype association, and developmental expression makes it a compelling target for fine mapping and functional studies.</p>
<p>The broader significance of this work extends beyond a single gene. Foxtail millet, Setaria italica, is increasingly recognized as a model crop for the small millets and a climate-resilient cereal for the future, prized for its drought tolerance, short growing season, and nutritional profile rich in minerals, phenolics, and bioactive compounds. As global agriculture confronts warming temperatures and water scarcity, crops like foxtail millet are moving from the margins of agricultural research to its center. Yet for millet to compete on modern markets, it must deliver not only yield and nutrition but also the appearance and processing quality that consumers and millers demand. By providing a dense map of reproducible and novel loci for grain color and milling recovery, this study hands breeders a molecular toolkit for improving exactly those traits, and it lays the groundwork for the fine mapping, gene cloning, and marker-assisted improvement that will follow. In a crop that has nourished humanity since the dawn of agriculture, the genes that govern its golden color are finally coming into focus.</p>
<p><strong>Subject of Research:</strong> Genetic architecture of grain color and milling-related recovery traits in foxtail millet</p>
<p><strong>Article Title:</strong> Multi-environment dissection of the genetic architecture of grain color and milling-related recovery traits in foxtail millet</p>
<p><strong>Article References:</strong> Multi-environment dissection of the genetic architecture of grain color and milling-related recovery traits in foxtail millet. (n.d.). <a href="https://doi.org/10.1007/s00122-026-05369-5" rel="noopener noreferrer">https://doi.org/10.1007/s00122-026-05369-5</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00122-026-05369-5" rel="noopener noreferrer">10.1007/s00122-026-05369-5</a></p>
<p><strong>Keywords:</strong> foxtail millet, QTL mapping, grain color, kernel yellowness, milling recovery, glycosyltransferase, Setaria italica, recombinant inbred lines, whole-genome resequencing, marker-assisted selection, plant breeding, multi-environment analysis</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">198964</post-id>	</item>
		<item>
		<title>Tiny RNAs, Big Harvest: MicroRNAs Could Engineer Climate-Proof, Nutrient-Rich Millets</title>
		<link>https://scienmag.com/tiny-rnas-big-harvest-micrornas-could-engineer-climate-proof-nutrient-rich-millets/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 11:48:40 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[biofortification]]></category>
		<category><![CDATA[climate resilience]]></category>
		<category><![CDATA[climate-resilient millet cultivation]]></category>
		<category><![CDATA[CRISPR genome editing]]></category>
		<category><![CDATA[drought tolerance]]></category>
		<category><![CDATA[finger millet]]></category>
		<category><![CDATA[foxtail millet]]></category>
		<category><![CDATA[genetic engineering of drought-tolerant crops]]></category>
		<category><![CDATA[microRNA targets in millet nutrient content]]></category>
		<category><![CDATA[microRNA-mediated regulation of plant growth]]></category>
		<category><![CDATA[microRNAs]]></category>
		<category><![CDATA[MicroRNAs in millet crop improvement]]></category>
		<category><![CDATA[millet genomics and climate adaptation]]></category>
		<category><![CDATA[millets]]></category>
		<category><![CDATA[molecular breeding]]></category>
		<category><![CDATA[molecular mechanisms of millet drought resistance]]></category>
		<category><![CDATA[nutrient enhancement in millets through genetic regulation]]></category>
		<category><![CDATA[nutritional quality]]></category>
		<category><![CDATA[pearl millet]]></category>
		<category><![CDATA[RNA-based crop biotechnology]]></category>
		<category><![CDATA[role of microRNAs in plant stress response]]></category>
		<category><![CDATA[salinity stress]]></category>
		<category><![CDATA[small RNAs and crop stress adaptation]]></category>
		<category><![CDATA[sustainable agriculture through microRNA research]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=193962</guid>

					<description><![CDATA[A new review maps how microRNA regulatory networks could be engineered to make millets more climate-resilient and nutritionally dense.]]></description>
										<content:encoded><![CDATA[<p>Millets have long been dismissed as orphan crops, overshadowed by maize, rice and wheat in research funding and genomic attention. Yet as climate change intensifies droughts, heatwaves and soil salinization across the world&#8217;s most vulnerable agricultural regions, these small-seeded cereals are being re-evaluated as some of the most promising crops of the twenty-first century. A comprehensive new review published in Stress Biology argues that the key to unlocking their full potential may lie in something far smaller than the plants themselves: microRNAs, short regulatory RNA molecules that act as master switches controlling how crops respond to stress and how they pack nutrients into their grains.</p>
<p>MicroRNAs, or miRNAs, are single-stranded RNA molecules typically 21 to 24 nucleotides in length. Although they do not encode proteins, they perform a crucial regulatory function by binding to messenger RNA targets and either cleaving them or blocking their translation. In doing so, they fine-tune the expression of transcription factors, hormone signaling components and transporter genes that govern virtually every aspect of plant life, from root architecture and flowering time to drought tolerance and grain filling. A single miRNA can regulate multiple genes within the same pathway, which makes these molecules extraordinarily powerful levers for crop improvement. Environmental conditions can reshape miRNA expression profiles, and in turn the plant&#8217;s stress responses, offering a dynamic regulatory layer that breeders have only begun to exploit.</p>
<p>The review, led by Kasanaboina Krishna of the International Crops Research Institute for the Semi-Arid Tropics and colleagues, synthesizes evidence from across the major cereals and emerging millet studies to build a millet-focused regulatory framework. The authors distinguish between conserved grass-wide miRNA modules and millet-specific candidates, and they are candid about the state of the field: most millet miRNA research to date has been limited to computational prediction and expression profiling, while rigorous functional validation remains scarce. Degradome sequencing evidence, tissue-specific regulatory maps and field-relevant genotype-by-environment analyses are still largely missing, meaning that many of the most exciting candidates remain hypotheses rather than established tools.</p>
<p>Nevertheless, the evidence that does exist is compelling. In foxtail millet, miR394 has been shown to positively regulate drought resistance, with upregulation after treatment with methyl jasmonate, ethephon, salicylic acid and abscisic acid, and improved germination rates and root lengths in response. A member of the miR396 family, SimiR396d, targets the growth-regulating factor gene SiGRF1, and its overexpression enhances both root growth and drought tolerance, directly linking miRNA-mediated developmental regulation to stress adaptation. In pearl millet, one of the most drought-tolerant cereals known, researchers identified 61 novel miRNAs under high vapor pressure deficit, with families including miR167, miR172, miR396 and miR399 implicated in root physiology and abiotic stress responses. Sorghum studies have revealed 80 individual miRNAs responding to drought, heat and combined stress, including eight novel stress-responsive families.</p>
<p>Salinity tolerance offers another striking example. In finger millet, the Eco-miR169–EcNF-YA13 regulatory module has been identified as a key determinant of dehydration and salinity tolerance; the transcription factor EcNF-YA13 supports stress tolerance but is suppressed by Eco-miR169, suggesting that modulating this miRNA could relieve the repression and enhance tolerance. Earlier work in the same species identified 48 conserved and 35 novel salinity-responsive miRNAs, with several families upregulated more than tenfold in tolerant genotypes. In pearl millet, small RNA sequencing revealed 95 salinity-responsive miRNAs targeting 448 genes, many involved in auxin responses, hinting that miRNA-mediated hormone regulation underpins the crop&#8217;s remarkable salt resilience.</p>
<p>Beyond stress tolerance, miRNAs appear central to the nutritional traits that make millets so valuable as nutri-cereals. Finger millet is prized for its calcium content, pearl millet for iron and zinc, kodo millet for dietary fiber and phenolics, and fonio for sulfur-containing amino acids. Yet the direct links between specific miRNAs and grain micronutrient accumulation remain under-investigated. One notable exception comes from pearl millet, where pgl-miR159 was identified as a candidate associated with iron metabolism during a broader search for grain iron and zinc genes. In rice, high-iron transgenic lines showed downregulation of root-specific miRNAs that in turn upregulated key transporters such as OsYSL15, OsFRO2 and OsIRT1, boosting iron and zinc uptake. The review argues that identifying orthologous transporter–miRNA modules in millets could provide a mechanistic framework for biofortification, provided the interactions are experimentally validated.</p>
<p>The translational toolkit for moving from candidate miRNAs to improved cultivars is now substantial. The authors propose a roadmap combining tissue- and stage-resolved miRNA atlases with target validation through degradome sequencing, RNA Ligase-Mediated Rapid Amplification of cDNA Ends and reporter assays. Functional intervention platforms include short tandem target mimics, which sequester endogenous miRNAs to relieve repression of beneficial target genes; artificial miRNAs, which deliver highly specific gene knockdowns with minimal off-target effects; and CRISPR/Cas-mediated editing of miRNA loci, promoters or target recognition sites. Proof-of-concept studies in other cereals show the power of these approaches: editing the miR396 binding sites in rice OsGRF4 and OsGRF8 derepressed growth and boosted grain size, while CRISPR-induced mutations in the miR156 recognition element of wheat TaSPL13 improved grain number, size and architecture.</p>
<p>Integration with breeding pipelines is the critical next step. miRNA-derived molecular markers, first developed in Brassica and rice, capture regulatory variation rather than merely neutral structural differences, linking markers directly to traits such as stress tolerance and yield stability. In foxtail millet, researchers designed 66 primer pairs from conserved pre-miRNA sequences with high cross-genera transferability, underscoring their promise as functional genotyping tools. The review also highlights the potential of machine learning and digital miRNA twins, computational models trained on sequence features and expression data to predict stress-responsive miRNAs and simulate how edited or introgressed miRNA modules would perform across drought cycles, heatwaves and nutrient-poor soils before any field trial. Embedding miRNA target interactions into crop simulation platforms could dramatically shorten breeding cycles for climate-resilient varieties.</p>
<p>The regulatory and ecological dimensions are not ignored. India&#8217;s 2022 guidelines exempt site-directed nuclease 1 and 2 genome-edited plants from GMO-style environmental risk assessment once vector sequences are segregated, opening a practical pathway for non-transgenic miRNA edits. At the same time, the authors note that plant miRNAs can move within and between organisms, a consideration for environmental safety even in cisgenic edits. Benchmarks for nutritional outcomes already exist: Indian biofortified pearl millet targets of at least 42 milligrams of iron and 32 milligrams of zinc per kilogram of grain, achieved without sacrificing yield. Rapid screening systems built around the model grass Setaria viridis, including spike-dip transformation, protoplast assays and foxtail mosaic virus vectors for virus-induced gene silencing, could accelerate functional validation before the best constructs move into stable millet genotypes for multi-environment testing.</p>
<p>The broader message is one of urgency and opportunity. Millets already possess C4 photosynthesis, deep root systems, compact stature and strong antioxidant defenses that allow them to thrive where major cereals fail. Their inherent micronutrient richness makes them ideal testbeds for miRNA-guided climate-smart breeding. What is missing is the systematic functional validation that would transform descriptive miRNA catalogues into experimentally confirmed regulatory networks. If the roadmap laid out in this review is followed, building comprehensive miRNA atlases, mining landrace and wild-relative diversity for novel miRNA alleles, deploying CRISPR and target mimicry tools, and integrating validated miRNA-trait associations into genomic selection models, the humble millet could become a global model for genetic resilience, nutritional density and smart agriculture, delivering climate-proof, micronutrient-dense grain to the farmers and consumers who need it most.</p>
<p><strong>Subject of Research:</strong> MicroRNA regulatory networks controlling climate resilience and nutritional traits in millet crops</p>
<p><strong>Article Title:</strong> Harnessing microRNA regulatory networks for engineering climate resilience and nutritional enhancement in millets</p>
<p><strong>Article References:</strong> Krishna, K., Habyarimana, E., Jamedar, H. R., VG, I. L., Chavan, S., Prasad, B. V. V., Mohan, Y. C., Edukondalu, B., &amp; Ceasar, S. A. (2026). Harnessing microRNA regulatory networks for engineering climate resilience and nutritional enhancement in millets. <em>Stress Biology, 6</em>(1), Article 57. <a href="https://doi.org/10.1007/s44154-026-00332-2" rel="noopener noreferrer">https://doi.org/10.1007/s44154-026-00332-2</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44154-026-00332-2" rel="noopener noreferrer">10.1007/s44154-026-00332-2</a></p>
<p><strong>Keywords:</strong> microRNAs, millets, climate resilience, drought tolerance, salinity stress, biofortification, CRISPR genome editing, foxtail millet, pearl millet, finger millet, nutritional quality, molecular breeding</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">193962</post-id>	</item>
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