[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-839":3,"related-839":68},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":30,"secondary_topics":36,"classification":37,"search_phrases":62,"slug":65,"view_count":52,"doi":66,"paper":8,"created_at":67},839,"中国农科院作科所等:全球首个绿豆图泛基因组——鉴定调控绿豆黄酮合成和抗豆象关键基因(原标题:A graph-based pangenome of mungbean)","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41588-026-02644-5","中国农业科学院作物科学研究所特色农作物优异种质资源发掘与创新利用创新团队联合国内外单位,构建全球首个高质量绿豆图泛基因组。从全球580份绿豆种质资源中筛选出11份代表性材料,组装构建首个绿豆图泛基因组,鉴定出调控黄酮代谢合成、增强绿豆抵抗害虫豆象的关键基因。前者通过启动子插入及编码区突变调控黄酮积累,与荞麦黄酮合成调控机制一致;后者启动子缺失变异增强基因表达、抑制关键抗虫降解酶活性、维持种皮结构完整。成果发表在《自然·遗传学(Nature Genetics)》。注:本成果基于11份代表性核心种质,实际育种应用仍需更广泛的验证。",null,"1.   Kang, Y. J. et al. Genome sequence of mungbean and insights into evolution within _Vigna_ species. _Nat. Commun._**5**, 5443 (2014).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fncomms6443)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BC2cXhvFans7vJ)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=25384727)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC4241982)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Genome%20sequence%20of%20mungbean%20and%20insights%20into%20evolution%20within%20Vigna%20species&journal=Nat.%20Commun.&doi=10.1038%2Fncomms6443&volume=5&publication_year=2014&author=Kang%2CYJ)\n\n2.   Hou, D. Z. et al. Mung bean (_Vigna radiata_ L.): bioactive polyphenols, polysaccharides, peptides, and health benefits. _Nutrients_**11**, 1238–1266 (2019).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.3390%2Fnu11061238)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BC1MXisVens73J)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=31159173)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC6627095)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Mung%20bean%20%28Vigna%20radiata%20L.%29%3A%20bioactive%20polyphenols%2C%20polysaccharides%2C%20peptides%2C%20and%20health%20benefits&journal=Nutrients&doi=10.3390%2Fnu11061238&volume=11&pages=1238-1266&publication_year=2019&author=Hou%2CDZ)\n\n3.   Tao, M. F. et al. Flavonoids from the mung bean coat promote longevity and fitness in _Caenorhabditis elegans_. _Food Funct._**12**, 8196–8207 (2021).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1039%2FD1FO01322J)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB3MXhsVyltbjO)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=34296240)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Flavonoids%20from%20the%20mung%20bean%20coat%20promote%20longevity%20and%20fitness%20in%20Caenorhabditis%20elegans&journal=Food%20Funct.&doi=10.1039%2FD1FO01322J&volume=12&pages=8196-8207&publication_year=2021&author=Tao%2CMF)\n\n4.   Rohilla, V. et al. Association mapping for yield attributing traits and yellow mosaic disease resistance in mung bean [_Vigna radiata_ (L.) Wilczek]. _Front. Plant Sci._**12**, 749439 (2021).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.3389%2Ffpls.2021.749439)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=35111171)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Association%20mapping%20for%20yield%20attributing%20traits%20and%20yellow%20mosaic%20disease%20resistance%20in%20mung%20bean%20%5BVigna%20radiata%20%28L.%29%20Wilczek%5D&journal=Front.%20Plant%20Sci.&doi=10.3389%2Ffpls.2021.749439&volume=12&publication_year=2021&author=Rohilla%2CV)\n\n5.   Chen, H. L. et al. Assessment of genetic diversity and population structure of mung bean (_Vigna radiata_) germplasm using EST-based and genomic SSR markers. _Gene_**566**, 175–183 (2015).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1016%2Fj.gene.2015.04.043)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BC2MXnvFWntLo%3D)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=25895480)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Assessment%20of%20genetic%20diversity%20and%20population%20structure%20of%20mung%20bean%20%28Vigna%20radiata%29%20germplasm%20using%20EST-based%20and%20genomic%20SSR%20markers&journal=Gene&doi=10.1016%2Fj.gene.2015.04.043&volume=566&pages=175-183&publication_year=2015&author=Chen%2CHL)\n\n6.   Gayacharan et al. in _The Mung Bean Genome_ (eds Nair, R. M. et al.) Ch. 2 (Springer, 2020).\n\n7.   Kim, S. K., Nair, R. M., Lee, J. & Lee, S. H. Genomic resources in mungbean for future breeding programs. _Front. Plant Sci._**6**, 626 (2015).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.3389%2Ffpls.2015.00626)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=26322067)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC4530597)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Genomic%20resources%20in%20mungbean%20for%20future%20breeding%20programs&journal=Front.%20Plant%20Sci.&doi=10.3389%2Ffpls.2015.00626&volume=6&publication_year=2015&author=Kim%2CSK&author=Nair%2CRM&author=Lee%2CJ&author=Lee%2CSH)\n\n8.   Yuan, Y., Bayer, P. E., Batley, J. & Edwards, D. Current status of structural variation studies in plants. _Plant Biotechnol. J._**19**, 2153–2163 (2021).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1111%2Fpbi.13646)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=34101329)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Current%20status%20of%20structural%20variation%20studies%20in%20plants&journal=Plant%20Biotechnol.%20J.&doi=10.1111%2Fpbi.13646&volume=19&pages=2153-2163&publication_year=2021&author=Yuan%2CY&author=Bayer%2CPE&author=Batley%2CJ&author=Edwards%2CD)\n\n9.   Qin, P. et al. Pan-genome analysis of 33 genetically diverse rice accessions reveals hidden genomic variations. _Cell_**184**, 3542–3558 (2021).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1016%2Fj.cell.2021.04.046)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB3MXhtlSrtr%2FM)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=34051138)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Pan-genome%20analysis%20of%2033%20genetically%20diverse%20rice%20accessions%20reveals%20hidden%20genomic%20variations&journal=Cell&doi=10.1016%2Fj.cell.2021.04.046&volume=184&pages=3542-3558&publication_year=2021&author=Qin%2CP)\n\n10.   Liu, Y. et al. Pan-genome of wild and cultivated soybeans. _Cell_**182**, 162–176 (2020).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1016%2Fj.cell.2020.05.023)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB3cXhtFyktrjI)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=32553274)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Pan-genome%20of%20wild%20and%20cultivated%20soybeans&journal=Cell&doi=10.1016%2Fj.cell.2020.05.023&volume=182&pages=162-176&publication_year=2020&author=Liu%2CY)\n\n11.   Walkowiak, S. et al. Multiple wheat genomes reveal global variation in modern breeding. _Nature_**588**, 277–283 (2020).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41586-020-2961-x)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB3cXisVeqtr3P)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=33239791)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC7759465)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Multiple%20wheat%20genomes%20reveal%20global%20variation%20in%20modern%20breeding&journal=Nature&doi=10.1038%2Fs41586-020-2961-x&volume=588&pages=277-283&publication_year=2020&author=Walkowiak%2CS)\n\n12.   Varshney, R. K. et al. A chickpea genetic variation map based on the sequencing of 3,366 genomes. _Nature_**599**, 622–627 (2021).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41586-021-04066-1)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB3MXisVOltLbO)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=34759320)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC8612933)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=A%20chickpea%20genetic%20variation%20map%20based%20on%20the%20sequencing%20of%203%2C366%20genomes&journal=Nature&doi=10.1038%2Fs41586-021-04066-1&volume=599&pages=622-627&publication_year=2021&author=Varshney%2CRK)\n\n13.   Jayakodi, M. et al. The barley pan-genome reveals the hidden legacy of mutation breeding. _Nature_**588**, 284–289 (2020).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41586-020-2947-8)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB3cXisVeqtr3K)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=33239781)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC7759462)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=The%20barley%20pan-genome%20reveals%20the%20hidden%20legacy%20of%20mutation%20breeding&journal=Nature&doi=10.1038%2Fs41586-020-2947-8&volume=588&pages=284-289&publication_year=2020&author=Jayakodi%2CM)\n\n14.   He, Q. et al. A graph-based genome and pan-genome variation of the model plant _Setaria_. _Nat. Genet._**55**, 1232–1242 (2023).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41588-023-01423-w)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB3sXhtF2itbrK)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=37291196)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC10335933)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=A%20graph-based%20genome%20and%20pan-genome%20variation%20of%20the%20model%20plant%20Setaria&journal=Nat.%20Genet.&doi=10.1038%2Fs41588-023-01423-w&volume=55&pages=1232-1242&publication_year=2023&author=He%2CQ)\n\n15.   Chen, J. et al. Pangenome analysis reveals genomic variations associated with domestication traits in broomcorn millet. _Nat. Genet._**55**, 2243–2254 (2023).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41588-023-01571-z)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB3sXisFSlsr7O)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=38036791)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC10703678)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Pangenome%20analysis%20reveals%20genomic%20variations%20associated%20with%20domestication%20traits%20in%20broomcorn%20millet&journal=Nat.%20Genet.&doi=10.1038%2Fs41588-023-01571-z&volume=55&pages=2243-2254&publication_year=2023&author=Chen%2CJ)\n\n16.   Lu, Q. et al. Genomic variation in weedy and cultivated broomcorn millet accessions uncovers the genetic architecture of agronomic traits. _Nat. Genet._**56**, 1006–1017 (2024).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41588-024-01718-6)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB2cXpt1Shsr8%3D)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=38658793)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Genomic%20variation%20in%20weedy%20and%20cultivated%20broomcorn%20millet%20accessions%20uncovers%20the%20genetic%20architecture%20of%20agronomic%20traits&journal=Nat.%20Genet.&doi=10.1038%2Fs41588-024-01718-6&volume=56&pages=1006-1017&publication_year=2024&author=Lu%2CQ)\n\n17.   Lye, Z. N. & Purugganan, M. D. Copy number variation in domestication. _Trends Plant Sci._**24**, 352–365 (2019).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1016%2Fj.tplants.2019.01.003)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BC1MXhvFemsrY%3D)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=30745056)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Copy%20number%20variation%20in%20domestication&journal=Trends%20Plant%20Sci.&doi=10.1016%2Fj.tplants.2019.01.003&volume=24&pages=352-365&publication_year=2019&author=Lye%2CZN&author=Purugganan%2CMD)\n\n18.   Liu, C. et al. High-quality genome assembly and pan-genome studies facilitate genetic discovery in mung bean and its improvement. _Plant Commun._**3**, 100352 (2022).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1016%2Fj.xplc.2022.100352)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB38Xit1Onsb7K)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=35752938)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC9700124)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=High-quality%20genome%20assembly%20and%20pan-genome%20studies%20facilitate%20genetic%20discovery%20in%20mung%20bean%20and%20its%20improvement&journal=Plant%20Commun.&doi=10.1016%2Fj.xplc.2022.100352&volume=3&publication_year=2022&author=Liu%2CC)\n\n19.   Han, X. et al. Resequencing of 558 Chinese mungbean landraces identifies genetic loci associated with key agronomic traits. _Front. Plant Sci._**13**, 1043784 (2022).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.3389%2Ffpls.2022.1043784)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB2MXivVOjt7rJ)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=36311125)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC9597495)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Resequencing%20of%20558%20Chinese%20mungbean%20landraces%20identifies%20genetic%20loci%20associated%20with%20key%20agronomic%20traits&journal=Front.%20Plant%20Sci.&doi=10.3389%2Ffpls.2022.1043784&volume=13&publication_year=2022&author=Han%2CX)\n\n20.   Lu, X. et al. A PP2C-1 allele underlying a quantitative trait locus enhances soybean 100-seed weight. _Mol. Plant_**10**, 670–684 (2017).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1016%2Fj.molp.2017.03.006)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BC2sXmtlWqs7c%3D)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=28363587)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=A%20PP2C-1%20allele%20underlying%20a%20quantitative%20trait%20locus%20enhances%20soybean%20100-seed%20weight&journal=Mol.%20Plant&doi=10.1016%2Fj.molp.2017.03.006&volume=10&pages=670-684&publication_year=2017&author=Lu%2CX)\n\n21.   Suamuang, S. et al. Identification of quantitative trait loci controlling flowering time in black gram (_Vigna_ mungo [L.] Hepper). _Agric. Nat. Resour._**57**, 43–50 (2023).\n\n[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Identification%20of%20quantitative%20trait%20loci%20controlling%20flowering%20time%20in%20black%20gram%20%28Vigna%20mungo%20%5BL.%5D%20Hepper%29&journal=Agric.%20Nat.%20Resour.&volume=57&pages=43-50&publication_year=2023&author=Suamuang%2CS)\n\n22.   He, Y. et al. Multiomics analysis reveals the molecular mechanisms underlying virulence in Rhizoctonia and jasmonic acid-mediated resistance in Tartary buckwheat (_Fagopyrum tataricum_). _Plant Cell_**35**, 2773–2798 (2023).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1093%2Fplcell%2Fkoad118)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB2MXhtVykt7vM)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=37119263)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC10396374)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Multiomics%20analysis%20reveals%20the%20molecular%20mechanisms%20underlying%20virulence%20in%20Rhizoctonia%20and%20jasmonic%20acid-mediated%20resistance%20in%20Tartary%20buckwheat%20%28Fagopyrum%20tataricum%29&journal=Plant%20Cell&doi=10.1093%2Fplcell%2Fkoad118&volume=35&pages=2773-2798&publication_year=2023&author=He%2CY)\n\n23.   Huang, Z., Shen, F., Chen, Y., Cao, K. & Wang, L. Chromosome-scale genome assembly and population genomics provide insights into the adaptation, domestication, and flavonoid metabolism of Chinese plum. _Plant J._**108**, 1174–1192 (2021).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1111%2Ftpj.15482)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB3MXitVOgsrnP)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=34473873)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Chromosome-scale%20genome%20assembly%20and%20population%20genomics%20provide%20insights%20into%20the%20adaptation%2C%20domestication%2C%20and%20flavonoid%20metabolism%20of%20Chinese%20plum&journal=Plant%20J.&doi=10.1111%2Ftpj.15482&volume=108&pages=1174-1192&publication_year=2021&author=Huang%2CZ&author=Shen%2CF&author=Chen%2CY&author=Cao%2CK&author=Wang%2CL)\n\n24.   Li, H. et al. Graph-based pan-genome reveals structural and sequence variations related to agronomic traits and domestication in cucumber. _Nat. Commun._**13**, 682 (2022).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41467-022-28362-0)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB38XislKls74%3D)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=35115520)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC8813957)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Graph-based%20pan-genome%20reveals%20structural%20and%20sequence%20variations%20related%20to%20agronomic%20traits%20and%20domestication%20in%20cucumber&journal=Nat.%20Commun.&doi=10.1038%2Fs41467-022-28362-0&volume=13&publication_year=2022&author=Li%2CH)\n\n25.   Tang, D. et al. Genome evolution and diversity of wild and cultivated potatoes. _Nature_**606**, 535–541 (2022).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41586-022-04822-x)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB38XhsFWhu7bN)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=35676481)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC9200641)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Genome%20evolution%20and%20diversity%20of%20wild%20and%20cultivated%20potatoes&journal=Nature&doi=10.1038%2Fs41586-022-04822-x&volume=606&pages=535-541&publication_year=2022&author=Tang%2CD)\n\n26.   Yang, T. et al. Improved pea reference genome and pan-genome highlight genomic features and evolutionary characteristics. _Nat. Genet._**54**, 1553–1563 (2022).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41588-022-01172-2)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB38XisVKns7fM)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=36138232)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC9534762)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Improved%20pea%20reference%20genome%20and%20pan-genome%20highlight%20genomic%20features%20and%20evolutionary%20characteristics&journal=Nat.%20Genet.&doi=10.1038%2Fs41588-022-01172-2&volume=54&pages=1553-1563&publication_year=2022&author=Yang%2CT)\n\n27.   Zhang, C. et al. The rice E3 ubiquitin ligase-transcription factor module targets two trypsin inhibitors to enhance broad-spectrum disease resistance. _Dev. Cell_**59**, 2017–2033 (2024).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1016%2Fj.devcel.2024.05.003)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB2cXhtFemsbzM)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=38781974)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=The%20rice%20E3%20ubiquitin%20ligase-transcription%20factor%20module%20targets%20two%20trypsin%20inhibitors%20to%20enhance%20broad-spectrum%20disease%20resistance&journal=Dev.%20Cell&doi=10.1016%2Fj.devcel.2024.05.003&volume=59&pages=2017-2033&publication_year=2024&author=Zhang%2CC)\n\n28.   Smit, P. et al. Medicago LYK3, an entry receptor in rhizobial nodulation factor signaling. _Plant Physiol._**145**, 183–191 (2007).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1104%2Fpp.107.100495)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BD2sXhtVKqtr7L)[PubMed](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fentrez\u002Fquery.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=17586690)[PubMed Central](http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC1976573)[Google Scholar](http:\u002F\u002Fscholar.google.com\u002Fscholar_lookup?&title=Medicago%20LYK3%2C%20an%20entry%20receptor%20in%20rhizobial%20nodulation%20factor%20signaling&journal=Plant%20Physiol.&doi=10.1104%2Fpp.107.100495&volume=145&pages=183-191&publication_year=2007&author=Smit%2CP)\n\n29.   Zhou, Y. et al. Graph pangenome captures missing heritability and empowers tomato breeding. _Nature_**606**, 527–534 (2022).\n\n[Article](https:\u002F\u002Fdoi.org\u002F10.1038%2Fs41586-022-04808-9)[CAS](https:\u002F\u002Fdoi.org\u002Farticles\u002Fcas-redirect\u002F1:CAS:528:DC%2BB38XhsFWhu7bO)[PubMed](http:\u002F\u002Fwww.n","Nature Genetics 2026 论文 2026年8月","论文",10,false,85,{"impact":16,"substance":16,"depth":17,"authority":18,"freshness":19,"relevant":20,"comment":21},25,20,15,0,1,"全球首个绿豆泛基因组，鉴定关键基因，重大科研突破，但发表于2026年8月，时效性差。",[23],{"name":10,"url":6},[25,26,27,28,29],"绿豆","泛基因组","Nature Genetics","中国农科院作科所","黄酮",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",[],{"status":38,"locked":13,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,50,57],{"code":31,"score":44,"supported":45,"title":46,"abstract":47,"tags":49},4,true,[],[48],"荞麦",[25],{"code":51,"score":52,"supported":45,"title":53,"abstract":54,"tags":56},"F1",3,[],[55],"种质资源",[],{"code":58,"score":20,"supported":13,"title":59,"abstract":60,"tags":61},"F2",[],[],[26],[63,64],"中国农科院作科所 泛基因组 绿豆 黄酮","中国农科院作科所 泛基因组","中国农科院作科所泛基因组绿豆黄酮-839","10.1038\u002Fs41588-026-02644-5","2026-08-22T00:06:00.711327Z",{"total":69,"page":20,"page_size":69,"items":70},6,[71,114,153,190,261,301],{"id":72,"title":73,"url":74,"summary":75,"summary_zh":8,"content":76,"source_name":77,"source_url":8,"published_at":78,"category":79,"cover_url":8,"hotness":12,"is_selected":45,"score":80,"score_detail":81,"sources":88,"tags":90,"primary_topic":92,"secondary_topics":93,"classification":94,"search_phrases":109,"slug":111,"view_count":112,"doi":8,"paper":8,"created_at":113},811,"[中国农科院作科所]全球首个绿豆图泛基因组发布——鉴定调控绿豆黄酮合成和抗豆象关键基因","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7675580719766323746","中国农科院作物科学研究所特色农作物优异种质资源发掘与创新利用团队联合国内外单位,从全球580份绿豆种质资源中筛选出11份代表性材料,组装构建全球首个高质量绿豆图泛基因组,鉴定出调控黄酮代谢合成、增强绿豆抵抗害虫豆象的关键基因。前者通过启动子插入及编码区突变调控黄酮积累,与荞麦黄酮合成调控机制一致;后者启动子缺失变异增强基因表达、抑制关键抗虫降解酶活性、维持种皮结构完整。成果发表在《自然·遗传学(Nature Genetics)》。","## 全球首个绿豆图泛基因组发布\n\n近日，中国农业科学院作物科学研究所特色农作物优异种质资源发掘与创新利用创新团队联合国内外单位，构建全球首个高质量绿豆图泛基因组，鉴定出调控绿豆黄酮合成和增强绿豆抗虫性的关键基因。相关成果发表在**《自然·遗传学（Nature Genetics）》**上。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002Fa22a08be07f442dda9e670f2c144e64b~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1787961965&x-signature=sLYLUIE2p3MoN24C6plxZjTaoDM%3D)\n\n绿豆是我国重要特色豆类作物，兼具营养与产业价值。传统单一参考基因组无法覆盖绿豆遗传多样性，关键结构变异难以解析，制约了种质发掘与精准育种。\n\n研究团队从全球580份绿豆种质资源中筛选出11份代表性材料，组装构建了全球首个绿豆图泛基因组，并鉴定出调控黄酮代谢合成、增强绿豆抵抗害虫豆象的关键基因。研究发现，前者通过启动子插入及编码区突变调控黄酮积累，该机制与荞麦中黄酮合成调控机制一致。而后者启动子缺失变异可增强基因表达，抑制关键抗虫降解酶活性，维持种皮结构完整，增强绿豆抗虫能力。该研究填补了绿豆图泛基因组研究空白，为绿豆优质抗虫品种培育提供了重要靶点与理论支撑。\n\n该研究得到国家自然科学基金、国家现代农业产业技术体系、中国农业科学院科技创新工程等项目的资助。\n\n原文链接：\n\nhttps:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41588-026-02644-5","中国农业科学院\u002F今日头条 2026年8月19日","2026-08-19T00:00:00Z","报道",91,{"impact":82,"substance":83,"depth":84,"authority":85,"freshness":86,"relevant":20,"comment":87},28,24,18,14,7,"全球首个绿豆泛基因组发布，重大科研突破，发表于Nature Genetics，对作物育种和农业科技有重要影响。",[89],{"name":77,"url":74},[25,26,27,28,91],"抗虫",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":95},{"candidates":96,"agricultural_evidence":45},[97,101,105],{"code":31,"score":44,"supported":45,"title":98,"abstract":99,"tags":100},[],[48],[25],{"code":51,"score":52,"supported":45,"title":102,"abstract":103,"tags":104},[],[55],[],{"code":58,"score":20,"supported":13,"title":106,"abstract":107,"tags":108},[],[],[26],[110,64],"中国农科院作科所 泛基因组 抗虫 绿豆","中国农科院作科所泛基因组抗虫绿豆-811",9,"2026-08-22T00:05:58.705927Z",{"id":115,"title":116,"url":117,"summary":118,"summary_zh":8,"content":119,"source_name":120,"source_url":8,"published_at":121,"category":79,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":122,"sources":127,"tags":129,"primary_topic":133,"secondary_topics":134,"classification":135,"search_phrases":147,"slug":150,"view_count":151,"doi":8,"paper":8,"created_at":152},1054,"广东省农科院作物所甘薯团队在甘薯茎腐病致病机制取得重要进展 首次构建Dickeya dadantii物种泛基因组图谱","https:\u002F\u002Fwww.gdaas.cn\u002Fcrigdaas\u002Fkxyj\u002Fkydt\u002Fcontent\u002Fpost_1336413.html","广东省农业科学院作物研究所甘薯团队基于PacBio HiFi测序技术,完成了甘薯细菌性茎腐病和根腐病(BSRR)代表性菌株E36的高质量完整环状基因组组装(4.78 Mb),并整合中国8个省份共33株分离菌株与23株全球公开菌株,首次构建了Dickeya dadantii物种层面的泛基因组图谱,系统解析了该病原菌的种群结构与遗传分化特征,揪出藏在病菌里的两个关键\"毒力开关\",为抗病甘薯品种培育奠定基础。研究发表于《Agricultural and Food Chemistry》(中科院一区,IF=6.7)。","甘薯一烂就是一大片，茎基发黑、散发恶臭，产量全完蛋！这种‘毁灭性’土传病害到底怎么防治？广东省农科院团队带着‘泛基因组’黑科技来了！他们揪出了藏在病菌里的两个关键‘毒力开关’，一旦关闭，病菌丧失部分攻击力。抗病甘薯品种，或许不再遥远。\n\n由 Dickeya dadantii引起的甘薯细菌性茎腐病和根腐病（BSRR）是当前严重威胁全球甘薯产业健康发展的毁灭性土传病害，其典型症状表现为茎基部软化变黑、维管束组织褐变以及储藏根腐烂并伴有恶臭，在甘薯整个生育周期内均可造成巨大的产量损失与品质下降。该病原菌宿主范围广泛，能够侵染包括玉米、菠萝、水稻、烟草及番茄在内的多种经济作物和观赏植物，且自2010年在中国首次报道以来，已迅速扩散至广东、海南、江西、河南、福建、重庆、广西、江苏等多个省份，成为我国南方甘薯主产区最具破坏性的病害之一。尽管该病害的危害日趋严重，但目前对于中国流行菌株的群体结构、遗传分化模式以及其核心毒力决定因子的系统性认知仍然十分匮乏，这极大地制约了针对性的抗病育种策略和高效病害防控手段的研发。\n\n为进一步解析中国不同地理来源 D. dadantii菌株的遗传多样性及其关键致病分子基础，广东省农业科学院作物研究所甘薯团队开展了深入研究，并取得新进展。\n\n广东省农业科学院作物研究所甘薯团队于Agricultural and Food Chemistry（中科院一区，IF: 6.7)在线发表题为“Pangenome Analysis Uncovers Two Pathotypes of Dickeya dadantii, the Causal Agent of Sweetpotato Stem Rot, and Identifies Virulence Associated Genes”的研究论文。\n\n本研究基于 PacBio HiFi 测序技术，完成了甘薯细菌性茎腐病和根腐病（BSRR）代表性菌株 E36 的高质量完整环状基因组组装（4.78 Mb），并整合中国 8 个省份共 33 株分离菌株与 23 株全球公开菌株，首次构建了 Dickeya dadantii物种层面的泛基因组图谱，系统解析了该病原菌的种群结构与遗传分化特征。泛基因组分析表明，核心基因约占 41.83%，附属基因占比达 58.17%，且随着菌株数量增加，核心基因比例呈逐渐下降趋势，附属基因数量明显扩张，充分揭示该病原菌基因组具有典型的“开放”特征，高度动态且受到显著的环境选择压力。\n\n系统发育分析与平均核苷酸一致性（ANI）结果显示，全球范围内的菌株呈现明显的地域聚集性，而国内甘薯源菌株根据地理来源可划分为两大主要进化类群（Group I 和 Group II），表明地理隔离与宿主适应共同驱动了该病原菌的遗传分化。\n\n在此基础上，研究基于 56 株菌株共有的核心基因组，通过信号肽预测、跨膜结构域筛选及亚细胞定位分析，鉴定出 36 个保守效应蛋白，并选取 8 个代表性基因开展侵染时间序列表达分析（qRT-PCR）、蛋白纯化及目标效应蛋白突变体表型验证。\n\n结果表明，CpxP 和 Spy 基因在侵染后显著上调表达，且在后期维持较高转录水平。进一步通过原核表达纯化这两个蛋白并注射至本氏烟草叶片，在 6 天内可诱导典型的过敏性反应（HR），证实其具备激发宿主植物免疫反应的生物活性。为验证其在病害中的实际毒力功能，研究构建了 ΔCpxP 和 ΔSpy 基因敲除突变体，并在甘薯块根和叶片上进行致病力测试，结果显示两个突变体的致病力均较野生型 E36 显著下降，病斑面积明显缩小。此外，CpxP 和 Spy 蛋白均含有 LTXXQ 保守结构域，提示该结构域可能与其毒力功能密切相关。综上所述，本研究不仅首次阐明了中国 D. dadantii群体的种群分化格局，还通过“预测-表达-验证”的完整链条实证了 CpxP 和 Spy 是病原菌侵染甘薯的保守毒力因子，为深入解析其分子致病机制及开发区域性病害防控策略提供了重要的理论依据和基因靶点。\n\n该论文第一作者为联合培养硕士生范梦佳，通讯作者为广东省农业科学院作物研究所黄立飞研究员。此外，广东省农科院基因中心吴绍文副研究员、华南农业大学周佳暖教授及华中农业大学谢甲涛教授都参与了本项目。本研究得到了国家甘薯产业技术体系（CARS-10）、国家重点研发计划（2024YFD1401203-5）和广东省现代农业产业技术体系创新团队建设专项资金（2024CXTD07）项目支持。","广东省农业科学院","2026-08-26T00:00:00Z",{"impact":123,"substance":83,"depth":124,"authority":125,"freshness":86,"relevant":20,"comment":126},22,19,13,"甘薯茎腐病致病机制研究取得重要进展，首次构建泛基因组图谱，对农业病害防控有实质贡献。",[128],{"name":120,"url":117},[26,130,131,132],"广东省农科院","甘薯","茎腐病",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":136},{"candidates":137,"agricultural_evidence":45},[138,143],{"code":31,"score":139,"supported":45,"title":140,"abstract":141,"tags":142},12,[131],[131],[131],{"code":58,"score":20,"supported":13,"title":144,"abstract":145,"tags":146},[],[],[26],[148,149],"广东省农科院 泛基因组 茎腐病 甘薯","广东省农科院 泛基因组","广东省农科院泛基因组茎腐病甘薯-1054",2,"2026-08-29T00:04:34.724646Z",{"id":154,"title":155,"url":156,"summary":157,"summary_zh":8,"content":158,"source_name":159,"source_url":8,"published_at":160,"category":11,"cover_url":8,"hotness":12,"is_selected":45,"score":161,"score_detail":162,"sources":165,"tags":167,"primary_topic":172,"secondary_topics":173,"classification":174,"search_phrases":185,"slug":188,"view_count":112,"doi":8,"paper":8,"created_at":189},510,"Pangenome-guided breeding restores high-altitude adaptation and improves yield in Tartary buckwheat","https:\u002F\u002Fwww.cell.com\u002Fcell\u002Ffulltext\u002FS0092-8674(26)00867-6","中国农业科学院作物科学研究所周美亮研究员、兰州大学刘建全教授、中国农业科学院刘旭院士等团队合作,在国际顶尖期刊Cell发表苦荞泛基因组研究。研究构建鞑靼荞麦(苦荞)的泛基因组,鉴定到赋予高海拔适应性的野生特有基因FtRNH以及调控种子大小的FtPLATZ基因结构变异。通过整合这些优良等位基因,培育出具有更强高海拔适应性和更高田间产量的荞麦品系,在高海拔条件下较对照品种增产约25%。该研究为弥补高海拔作物育种空白、提高喜马拉雅地区作物产量提供科学依据。","## Highlights\n\n•\n\nStructural variations are diverse between wild buckwheat and landraces\n\n•\n\nThe presence of _FtRNH_ in wild accessions is associated with high-altitude adaptability\n\n•\n\nStructural variations in _FtPLATZ_ are linked to seed-size variations\n\n•\n\nAn ideal highland buckwheat is developed by integrating superior alleles\n\n## Summary\n\nTartary buckwheat is a nutritionally important crop of the Himalayas and is crucial for local economies and food security. However, key genes and superior alleles for high-altitude adaptability and yield remain poorly defined, constraining the breeding of high-altitude buckwheat varieties. Here, we generated a telomere-to-telomere reference genome and a 16-accession pangenome spanning Himalayan wild populations and globally distributed landraces. We identified 123,131 non-redundant structural variations in 16 accessions, including gene copy-number variations. The graph-based pangenome revealed _FtRNH_, a wild-specific gene that enhances high-altitude adaptability. We also identified a copy-number variation at the _FtPLATZ_ locus and a 28-bp insertion in the _FtPLATZ3_ promoter that together contribute to seed-size variation across wild buckwheat and landraces. Leveraging these superior _FtRNH_ and _FtPLATZ_ alleles, we developed buckwheat lines with enhanced high-altitude adaptability and improved yields across sites. These findings establish a pangenome-guided strategy for recovering wild alleles and combining stress adaptation with yield improvement in crops.\n\n## Graphical abstract\n\n[![Image 1: Graphical abstract undfig1](https:\u002F\u002Fwww.cell.com\u002Fcms\u002F10.1016\u002Fj.cell.2026.07.035\u002Fasset\u002F80aae474-ddc8-4bf8-b4f6-f1785f4a7e67\u002Fmain.assets\u002Fga1.jpg)](https:\u002F\u002Fwww.cell.com\u002Fcms\u002F10.1016\u002Fj.cell.2026.07.035\u002Fasset\u002F7fe20e85-06aa-4295-abf7-e5e9111a7185\u002Fmain.assets\u002Fga1_lrg.jpg \"View full size image in a new tab\")\n\n## Keywords\n\n1.   [buckwheat](https:\u002F\u002Fwww.cell.com\u002Faction\u002FdoSearch?AllField=%22buckwheat%22&ISSN=0092-8674)\n2.   [pangenome](https:\u002F\u002Fwww.cell.com\u002Faction\u002FdoSearch?AllField=%22pangenome%22&ISSN=0092-8674)\n3.   [genetic breeding](https:\u002F\u002Fwww.cell.com\u002Faction\u002FdoSearch?AllField=%22genetic+breeding%22&ISSN=0092-8674)\n4.   [high-altitude adaptation](https:\u002F\u002Fwww.cell.com\u002Faction\u002FdoSearch?AllField=%22high-altitude+adaptation%22&ISSN=0092-8674)\n5.   [Himalayan region](https:\u002F\u002Fwww.cell.com\u002Faction\u002FdoSearch?AllField=%22Himalayan+region%22&ISSN=0092-8674)\n\n[![Image 2: Cell home. Opens in new tab](https:\u002F\u002Fwww.cell.com\u002Fpb-assets\u002Fux3\u002Flogos\u002Fcell\u002Fpaywall\u002Fcell_paywall-1758214380777.svg)](https:\u002F\u002Fwww.cell.com\u002Faction\u002FShowMarlinJournalHome?journalCode=cell \"Cell home. Opens in new tab\")\n\n## Get full text access\n\nLog in, subscribe or purchase for full access.\n\n## References\n\n1.\n\nInternational Centre, Integrated, Mountain, Development\n\n**The Hindu Kush Himalaya Assessment: Mountains, Climate Change, Sustainability and People**\n\nCham (Switzerland): Springer, 2019\n\n2.\n\nHe, Y. ∙ Zhang, K. ∙ Shi, Y. ...\n\n**Genomic insight into the origin, domestication, dispersal, diversification and human selection of Tartary buckwheat**\n\n_Genome Biol._ 2024; **25**, 61\n\n3.\n\nZhang, K. ∙ He, M. ∙ Fan, Y. ...\n\n**Resequencing of global Tartary buckwheat accessions reveals multiple domestication events and key loci associated with agronomic traits**\n\n_Genome Biol._ 2021; **22**, 23\n\n4.\n\nKumari, A. ∙ Chaudhary, H.K.\n\n**Nutraceutical crop buckwheat: a concealed wealth in the lap of Himalayas**\n\n_Crit. Rev. Biotechnol._ 2020; **40**:539-554\n\n5.\n\nZeng, X. ∙ Guo, Y. ∙ Xu, Q. ...\n\n**Origin and evolution of qingke barley in Tibet**\n\n_Nat. Commun._ 2018; **9**, 5433\n\n6.\n\nJha, R. ∙ Zhang, K. ∙ He, Y. ...\n\n**Global nutritional challenges and opportunities: Buckwheat, a potential bridge between nutrient deficiency and food security**\n\n_Trends Food Sci. Technol._ 2024; **145**, 104365\n\n7.\n\nJoshi, D.C. ∙ Zhang, K. ∙ Wang, C. ...\n\n**Strategic enhancement of genetic gain for nutraceutical development in buckwheat: A genomics-driven perspective**\n\n_Biotechnol. Adv._ 2020; **39**, 107479\n\n8.\n\nHuda, M.N. ∙ Lu, S. ∙ Jahan, T. ...\n\n**Treasure from garden: Bioactive compounds of buckwheat**\n\n_Food Chem._ 2021; **335**, 127653\n\n9.\n\nBao, H. ∙ Yuan, L. ∙ Luo, Y. ...\n\n**The transcription factor WRKY41-FLAVONOID 3′-HYDROXYLASE module fine-tunes flavonoid metabolism and cold tolerance in potato**\n\n_Plant Physiol._ 2025; **197**, kiaf070\n\n10.\n\nBulut, M. ∙ Tohge, T. ∙ Chen, W. ...\n\n**Learning from nature: phytochemical strategies to protect against UV-B damage**\n\n_Nat. Commun._ 2025; **16**, 9927\n\n11.\n\nHe, J. ∙ Yao, L. ∙ Pecoraro, L. ...\n\n**Cold stress regulates accumulation of flavonoids and terpenoids in plants by phytohormone, transcription process, functional enzyme, and epigenetics**\n\n_Crit. Rev. Biotechnol._ 2023; **43**:680-697\n\n12.\n\nHunt, H.V. ∙ Shang, X. ∙ Jones, M.K.\n\n**Buckwheat: a crop from outside the major Chinese domestication centres? A review of the archaeobotanical, palynological and genetic evidence**\n\n_Veg. Hist. Archaeobot._ 2018; **27**:493-506\n\n13.\n\nZhao, H. ∙ He, Y. ∙ Zhang, K. ...\n\n**Rewiring of the seed metabolome during Tartary buckwheat domestication**\n\n_Plant Biotechnol. J._ 2023; **21**:150-164\n\n14.\n\nLin, H. ∙ Yao, Y. ∙ Sun, P. ...\n\n**Haplotype-resolved genomes of two buckwheat crops provide insights into their contrasted rutin concentrations and reproductive systems**\n\n_BMC Biol._ 2023; **21**, 87\n\n15.\n\nLai, D. ∙ Zhang, K. ∙ He, Y. ...\n\n**Multi-omics identification of a key glycosyl hydrolase gene _FtGH1_ involved in rutin hydrolysis in Tartary buckwheat (_Fagopyrum tataricum_)**\n\n_Plant Biotechnol. J._ 2024; **22**:1206-1223\n\n16.\n\nHe, Y. ∙ Zhang, K. ∙ Li, S. ...\n\n**Multiomics analysis reveals the molecular mechanisms underlying virulence in _Rhizoctonia_ and jasmonic acid-mediated resistance in Tartary buckwheat (_Fagopyrum tataricum_)**\n\n_Plant Cell._ 2023; **35**:2773-2798\n\n17.\n\nDu, H. ∙ Liang, C.\n\n**Assembly of chromosome-scale contigs by efficiently resolving repetitive sequences with long reads**\n\n_Nat. Commun._ 2019; **10**, 5360\n\n18.\n\nKang, M. ∙ Wu, H. ∙ Liu, H. ...\n\n**The pan-genome and local adaptation of _Arabidopsis thaliana_**\n\n_Nat. Commun._ 2023; **14**, 6259\n\n19.\n\nYan, H. ∙ Sun, M. ∙ Zhang, Z. ...\n\n**Pangenomic analysis identifies structural variation associated with heat tolerance in pearl millet**\n\n_Nat. Genet._ 2023; **55**:507-518\n\n20.\n\nGao, L. ∙ Gonda, I. ∙ Sun, H. ...\n\n**The tomato pan-genome uncovers new genes and a rare allele regulating fruit flavor**\n\n_Nat. Genet._ 2019; **51**:1044-1051\n\n21.\n\nYang, W. ∙ Duan, H. ∙ Yu, K. ...\n\n**Integrative dissection of lignin composition in Tartary buckwheat seed hulls for enhanced dehulling efficiency**\n\n_Adv. Sci. (Weinh)._ 2024; **11**, e2400916\n\n22.\n\nFawcett, J.A. ∙ Takeshima, R. ∙ Kikuchi, S. ...\n\n**Genome sequencing reveals the genetic architecture of heterostyly and domestication history of common buckwheat**\n\n_Nat. Plants._ 2023; **9**:1236-1251\n\n23.\n\nZávodník, M. ∙ Fajkus, P. ∙ Franek, M. ...\n\n**Telomerase RNA gene paralogs in plants - the usual pathway to unusual telomeres**\n\n_New Phytol._ 2023; **239**:2353-2366\n\n24.\n\nHe, M. ∙ He, Y. ∙ Zhang, K. ...\n\n**Comparison of buckwheat genomes reveals the genetic basis of metabolomic divergence and ecotype differentiation**\n\n_New Phytol._ 2022; **235**:1927-1943\n\n25.\n\nZhang, N. ∙ McHale, L.K. ∙ Finer, J.J.\n\n**Changes to the core and flanking sequences of G-box elements lead to increases and decreases in gene expression in both native and synthetic soybean promoters**\n\n_Plant Biotechnol. J._ 2019; **17**:724-735\n\n26.\n\nChinnusamy, V. ∙ Ohta, M. ∙ Kanrar, S. ...\n\n**ICE1: a regulator of cold-induced transcriptome and freezing tolerance in _Arabidopsis_**\n\n_Genes Dev._ 2003; **17**:1043-1054\n\n27.\n\nLi, W. ∙ Wen, Y. ∙ Quan, J. ...\n\n**Regulation of jasmonic acid signalling in tomato cold stress response: Insights into the MYB15-LOXD and MYB15-MYC2-LOXD regulatory modules**\n\n_Plant Biotechnol. J._ 2025; **23**:4246-4260\n\n28.\n\nLiu, Y. ∙ Patra, B. ∙ Pattanaik, S. ...\n\n**GATA and phytochrome interacting factor transcription factors regulate light-induced vindoline biosynthesis in _Catharanthus roseus_**\n\n_Plant Physiol._ 2019; **180**:1336-1350\n\n29.\n\nWang, G. ∙ Xu, X. ∙ Lu, H. ...\n\n**The bZIP transcription factor BcbZIP72 positively regulates cold tolerance through CBF-dependent pathways in non-heading Chinese cabbage**\n\n_Plant Physiol. Biochem._ 2025; **229**, 110522\n\n30.\n\nChen, S. ∙ Dong, X. ∙ Yang, Z. ...\n\n**Regulation of the development in _Physcomitrium_ (_Physcomitrella_) patens implicates the functional differentiation of plant RNase H1s**\n\n_Plant Sci._ 2021; **313**, 111070\n\n31.\n\nCheng, L. ∙ Wang, W. ∙ Yao, Y. ...\n\n**Mitochondrial RNase H1 activity regulates R-loop homeostasis to maintain genome integrity and enable early embryogenesis in _Arabidopsis_**\n\n_PLoS Biol._ 2021; **19**, e3001357\n\n32.\n\nKuciński, J. ∙ Chamera, S. ∙ Kmera, A. ...\n\n**Evolutionary history and activity of RNase H1-like proteins in _Arabidopsis thaliana_**\n\n_Plant Cell Physiol._ 2020; **61**:1107-1119\n\n33.\n\nWang, W. ∙ Li, K. ∙ Yang, Z. ...\n\n**RNase H1C collaborates with ssDNA binding proteins WHY1\u002F3 and recombinase RecA1 to fulfill the DNA damage repair in _Arabidopsis_ chloroplasts**\n\n_Nucleic Acids Res._ 2021; **49**:6771-6787\n\n34.\n\nYang, Z. ∙ Hou, Q. ∙ Cheng, L. ...\n\n**RNase H1 cooperates with DNA gyrases to restrict R-loops and maintain genome integrity in _Arabidopsis_ chloroplasts**\n\n_Plant Cell._ 2017; **29**:2478-2497\n\n35.\n\nHideg, E. ∙ Jansen, M.A.K. ∙ Strid, A.\n\n**UV-B exposure, ROS, and stress: inseparable companions or loosely linked associates?**\n\n_Trends Plant Sci._ 2013; **18**:107-115\n\n36.\n\nLi, R. ∙ Chen, Z. ∙ Zheng, R. ...\n\n**QTL mapping and candidate gene analysis for yield and grain weight\u002Fsize in Tartary buckwheat**\n\n_BMC Plant Biol._ 2023; **23**, 58\n\n37.\n\nLi, J. ∙ Feng, S. ∙ Zhang, Y. ...\n\n**Genome-wide identification and expression analysis of the plant-specific _PLATZ_ gene family in Tartary buckwheat (_Fagopyrum tataricum_)**\n\n_BMC Plant Biol._ 2022; **22**, 160\n\n38.\n\nWang, A. ∙ Hou, Q. ∙ Si, L. ...\n\n**The PLATZ transcription factor GL6 affects grain length and number in rice**\n\n_Plant Physiol._ 2019; **180**:2077-2090\n\n39.\n\nZhou, S.R. ∙ Xue, H.W.\n\n**The rice PLATZ protein SHORT GRAIN6 determines grain size by regulating spikelet hull cell division**\n\n_J. Integr. Plant Biol._ 2020; **62**:847-864\n\n40.\n\nStratmann, J.\n\n**Ultraviolet-B radiation co-opts defense signaling pathways**\n\n_Trends Plant Sci._ 2003; **8**:526-533\n\n41.\n\nShi, C. ∙ Liu, H.\n\n**How plants protect themselves from ultraviolet-B radiation stress**\n\n_Plant Physiol._ 2021; **187**:1096-1103\n\n42.\n\nLiang, T. ∙ Shi, C. ∙ Peng, Y. ...\n\n**Brassinosteroid-activated BRI1-EMS-SUPPRESSOR 1 inhibits flavonoid biosynthesis and coordinates growth and UV-B stress responses in plants**\n\n_Plant Cell._ 2020; **32**:3224-3239\n\n43.\n\nHu, S. ∙ Chen, Y. ∙ Qian, C. ...\n\n**Nuclear accumulation of rice UV-B photoreceptors is UV-B- and OsCOP1-independent for UV-B responses**\n\n_Nat. Commun._ 2024; **15**, 6396\n\n44.\n\nGuo, H. ∙ Gao, S. ∙ Li, H. ...\n\n**Natural variation of _CTB5_ confers cold adaptation in plateau _japonica_ rice**\n\n_Nat. Commun._ 2025; **16**, 1032\n\n45.\n\nZeng, R. ∙ Shi, Y. ∙ Guo, L. ...\n\n**A natural variant of _COOL1_ gene enhances cold tolerance for high-latitude adaptation in maize**\n\n_Cell._ 2025; **188**:1315-1329.e13\n\n46.\n\nShi, J. ∙ Lai, J.\n\n**Patterns of genomic changes with crop domestication and breeding**\n\n_Curr. Opin. Plant Biol._ 2015; **24**:47-53\n\n47.\n\nTao, Y. ∙ Luo, H. ∙ Xu, J. ...\n\n**Extensive variation within the pan-genome of cultivated and wild sorghum**\n\n_Nat. Plants._ 2021; **7**:766-773\n\n48.\n\nHe, Q. ∙ Tang, S. ∙ Zhi, H. ...\n\n**A graph-based genome and pan-genome variation of the model plant _Setaria_**\n\n_Nat. Genet._ 2023; **55**:1232-1242\n\n49.\n\nChen, J. ∙ Liu, Y. ∙ Liu, M. ...\n\n**Pangenome analysis reveals genomic variations associated with domestication traits in broomcorn millet**\n\n_Nat. Genet._ 2023; **55**:2243-2254\n\n50.\n\nWang, Y. ∙ Chen, W. ∙ Xing, M. ...\n\n**Wild rice _GL12_ synergistically improves grain length and salt tolerance in cultivated rice**\n\n_Nat. Commun._ 2024; **15**, 9453\n\n51.\n\nZhang, X. ∙ Meng, W. ∙ Liu, D. ...\n\n**Enhancing rice panicle branching and grain yield through tissue-specific brassinosteroid inhibition**\n\n_Science._ 2024; **383**, eadk8838\n\n52.\n\nZsögön, A. ∙ Čermák, T. ∙ Naves, E.R. ...\n\n**_De novo_ domestication of wild tomato using genome editing**\n\n_Nat. Biotechnol._ 2018; **36**:1211-1216\n\n53.\n\nYu, H. ∙ Lin, T. ∙ Meng, X. ...\n\n**A route to _de novo_ domestication of wild allotetraploid rice**\n\n_Cell._ 2021; **184**:1156-1170.e14\n\n54.\n\nCheng, H. ∙ Jarvis, E.D. ∙ Fedrigo, O. ...\n\n**Haplotype-resolved assembly of diploid genomes without parental data**\n\n_Nat. Biotechnol._ 2022; **40**:1332-1335\n\n55.\n\nZhang, H. ∙ Song, L. ∙ Wang, X. ...\n\n**Fast alignment and preprocessing of chromatin profiles with Chromap**\n\n_Nat. Commun._ 2021; **12**, 6566\n\n56.\n\nZhou, C. ∙ McCarthy, S.A. ∙ Durbin, R.\n\n**YaHS: yet another Hi-C scaffolding tool**\n\n_Bioinformatics._ 2023; **39**, btac808\n\n57.\n\nManni, M. ∙ Berkeley, M.R. ∙ Seppey, M. ...\n\n**BUSCO update: novel and streamlined workflows along with broader and deeper phylogenetic coverage for scoring of eukaryotic, prokaryotic, and viral genomes**\n\n_Mol. Biol. Evol._ 2021; **38**:4647-4654\n\n58.\n\nOu, S. ∙ Su, W. ∙ Liao, Y. ...\n\n**Benchmarking transposable element annotation methods for creation of a streamlined, comprehensive pipeline**\n\n_Genome Biol._ 2019; **20**, 275\n\n59.\n\nBirney, E. ∙ Clamp, M. ∙ Durbin, R.\n\n**Genewise and genomewise**\n\n_Genome Res._ 2004; **14**:988-995\n\n60.\n\nStanke, M. ∙ Steinkamp, R. ∙ Waack, S. ...\n\n**AUGUSTUS: a web server for gene finding in eukaryotes**\n\n_Nucleic Acids Res._ 2004; **32**:W309-W312\n\n61.\n\nMajoros, W.H. ∙ Pertea, M. ∙ Salzberg, S.L.\n\n**TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders**\n\n_Bioinformatics._ 2004; **20**:2878-2879\n\n62.\n\nKim, D. ∙ Paggi, J.M. ∙ Park, C. ...\n\n**Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype**\n\n_Nat. Biotechnol._ 2019; **37**:907-915\n\n63.\n\nHaas, B.J. ∙ Delcher, A.L. ∙ Mount, S.M. ...\n\n**Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies**\n\n_Nucleic Acids Res._ 2003; **31**:5654-5666\n\n64.\n\nHaas, B.J. ∙ Salzberg, S.L. ∙ Zhu, W. ...\n\n**Automated eukaryotic gene structure annotation using EVidenceModeler and the program to assemble spliced alignments**\n\n_Genome Biol._ 2008; **9**, R7\n\n65.\n\nLin, Y. ∙ Ye, C. ∙ Li, X. ...\n\n**quarTeT: a telomere-to-telomere toolkit for gap-free genome assembly and centromeric repeat identification**\n\n_Hortic. Res._ 2023; **10**, uhad127\n\n66.\n\nTang, H. ∙ Krishnakumar, V. ∙ Zeng, X. ...\n\n**JCVI: A versatile toolkit for comparative genomics analysis**\n\n_Imeta._ 2024; **3**, e211\n\n67.\n\nShen, W. ∙ Sipos, B. ∙ Zhao, L.\n\n**SeqKit2: A Swiss army knife for sequence and alignment processing**\n\n_Imeta._ 2024; **3**, e191\n\n68.\n\nChao, K.H. ∙ Heinz, J.M. ∙ Hoh, C. ...\n\n**Combining DNA and protein alignments to improve genome annotation with LiftOn**\n\n_Genome Res._ 2025; **35**:311-325\n\n70.\n\nBolger, A.M. ∙ Lohse, M. ∙ Usadel, B.\n\n**Trimmomatic: a flexible trimmer for Illumina sequence data**\n\n_Bioinformatics._ 2014; **30**:2114-2120\n\n71.\n\nLangmead, B. ∙ Salzberg, S.L.\n\n**Fast gapped-read alignment with Bowtie 2**\n\n_Nat. Methods._ 2012; **9**:357-359\n\n72.\n\nLi, H. ∙ Handsaker, B. ∙ Wysoker, A. ..., 1000 Genome Project Data Processing Subgroup\n\n**The sequence alignment\u002Fmap format and SAMtools**\n\n_Bioinformatics._ 2009; **25**:2078-2079\n\n73.\n\nMcKenna, A. ∙ Hanna, M. ∙ Banks, E. ...\n\n**The genome analysis Toolkit: a mapreduce framework for analyzing next-generation DNA sequencing data**\n\n_Genome Res._ 2010; **20**:1297-1303\n\n74.\n\nZhang, Y. ∙ Liu, T. ∙ Meyer, C.A. ...\n\n**Model-based analysis of ChIP-Seq (MACS)**\n\n_Genome Biol._ 2008; **9**, R137\n\n75.\n\nVasimuddin, M. ∙ Misra, S. ∙ Li, H. ...\n\n**Efficient architecture-aware acceleration of BWA-MEM for multicore systems**\n\n**IPDPS**\n\nInstitute of Electrical and Electronics Engineers, 2019; 314-324\n\n76.\n\nWang, K. ∙ Li, M. ∙ Hakonarson, H.\n\n**ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data**\n\n_Nucleic Acids Res._ 2010; **38**, e164\n\n77.\n\nPurcell, S. ∙ Neale, B. ∙ Todd-Brown, K. ...\n\n**PLINK: a tool set for whole-genome association and population-based linkage analyses**\n\n_Am. J. Hum. Genet._ 2007; **81**:559-575\n\n78.\n\nVilella, A.J. ∙ Severin, J. ∙ Ureta-Vidal, A. ...\n\n**Ensemblcompara genetrees: complete, duplication-aware phylogenetic trees in vertebrates**\n\n_Genome Res._ 2009; **19**:327-335\n\n79.\n\nLetunic, I. ∙ Bork, P.\n\n**Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation**\n\n_Nucleic Acids Res._ 2021; **49**:W293-W296\n\n80.\n\nAlexander, D.H. ∙ Novembre, J. ∙ Lange, K.\n\n**Fast model-based estimation of ancestry in unrelated individuals**\n\n_Genome Res._ 2009; **19**:1655-1664\n\n81.\n\nYang, J. ∙ Lee, S.H. ∙ Goddard, M.E. ...\n\n**GCTA: a tool for genome-wide complex trait analysis**\n\n_Am. J. Hum. Genet._ 2011; **88**:76-82\n\n82.\n\nZhang, C. ∙ Dong, S.S. ∙ Xu, J.Y. ...\n\n**PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files**\n\n_Bioinformatics._ 2019; **35**:1786-1788\n\n83.\n\nBuchfink, B. ∙ Xie, C. ∙ Huson, D.H.\n\n**Fast and sensitive protein alignment using DIAMOND**\n\n_Nat. Methods._ 2015; **12**:59-60\n\n84.\n\nEmms, D.M. ∙ Kelly, S.\n\n**OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy**\n\n_Genome Biol._ 2015; **16**, 157\n\n85.\n\nEdgar, R.C.\n\n**MUSCLE: a multiple sequence alignment method with reduced time and space complexity**\n\n_BMC Bioinform._ 2004; **5**, 113\n\n86.\n\nWu, T. ∙ Hu, E. ∙ Xu, S. ...\n\n**clusterProfiler 4.0: A universal enrichment tool for interpreting omics data**\n\n_Innovation (Camb.)._ 2021; **2**, 100141\n\n87.\n\nSun, P. ∙ Jiao, B. ∙ Yang, Y. ...\n\n**WGDI: A user-friendly toolkit for evolutionary analyses of whole-genome duplications and ancestral karyotypes**\n\n_Mol. Plant._ 2022; **15**:1841-1851\n\n88.\n\nMarçais, G. ∙ Delcher, A.L. ∙ Phillippy, A.M. ...\n\n**MUMmer4: A fast and versatile genome alignment system**\n\n_PLOS Comput. Biol._ 2018; **14**, e1005944\n\n89.\n\nGoel, M. ∙ Sun, H. ∙ Jiao, W.B. ...\n\n**SyRI: finding genomic rearrangements and local sequence differences from whole-genome assemblies**\n\n_Genome Biol._ 2019; **20**, 277\n\n90.\n\nJeffares, D.C. ∙ Jolly, C. ∙ Hoti, M. ...\n\n**Transient structural variations have strong effects on quantitative traits and reproductive isolation in fission yeast**\n\n_Nat. Commun._ 2017; **8**, 14061\n\n91.\n\nGarrison, E. ∙ Sirén, J. ∙ Novak, A.M. ...\n\n**Variation graph toolkit improves read mapping by representing genetic variation in the reference**\n\n_Nat. Biotechnol._ 2018; **36**:875-879\n\n92.\n\nChen, H. ∙ Patterson, N. ∙ Reich, D.\n\n**Population differentiation as a test for selective sweeps**\n\n_Genome Res._ 2010; **20**:393-402\n\n93.\n\nJones, P. ∙ Binns, D. ∙ Chang, H.Y. ...\n\n**InterProScan 5: genome-scale protein function classification**\n\n_Bioinformatics._ 2014; **30**:1236-1240\n\n94.\n\nKatoh, K. ∙ Standley, D.M.\n\n**MAFFT multiple sequence alignment software version 7: improvements in performance and usability**\n\n_Mol. Biol. Evol._ 2013; **30**:772-780\n\n95.\n\nCapella-Gutiérrez, S. ∙ Silla-Martínez, J.M. ∙ Gabaldón, T.\n\n**trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses**\n\n_Bioinformatics._ 2009; **25**:1972-1973\n\n96.\n\nNguyen, L.T. ∙ Schmidt, H.A. ∙ von Haeseler, A. ...\n\n**IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies**\n\n_Mol. Biol. Evol._ 2015; **32**:268-274\n\n97.\n\nZhou, X. ∙ Stephens, M.\n\n**Genome-wide efficient mixed-model analysis for association studies**\n\n_Nat. Genet._ 2012; **44**:821-824\n\n98.\n\nChen, S. ∙ Zhou, Y. ∙ Chen, Y. ...\n\n**fastp: an ultra-fast all-in-one","Cell 2026-08-11","2026-08-10T16:00:00Z",93,{"impact":16,"substance":16,"depth":17,"authority":18,"freshness":163,"relevant":20,"comment":164},8,"苦荞泛基因组研究重大突破，为高海拔适应性育种提供新策略，发表于Cell，具有重要农业科技价值。",[166],{"name":159,"url":156},[168,26,169,170,171],"中国农科院","苦荞","Cell","高海拔适应",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":175},{"candidates":176,"agricultural_evidence":45},[177,181],{"code":31,"score":44,"supported":45,"title":178,"abstract":179,"tags":180},[],[48],[169],{"code":58,"score":20,"supported":13,"title":182,"abstract":183,"tags":184},[],[],[26],[186,187],"中国农科院 高海拔适应 泛基因组 苦荞","中国农科院 高海拔适应","中国农科院高海拔适应泛基因组苦荞-510","2026-08-13T23:53:47.349302Z",{"id":191,"title":192,"url":193,"summary":194,"summary_zh":195,"content":8,"source_name":196,"source_url":193,"published_at":197,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":198,"score_detail":199,"sources":202,"tags":204,"primary_topic":210,"secondary_topics":211,"classification":212,"search_phrases":238,"slug":241,"view_count":19,"doi":242,"paper":243,"created_at":260},5561,"Growth Stage and Cultivar Influence the Interpretation of UAV-Derived NDVI for Potato Yield Assessment","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11540-026-10161-5","Abstract Single-date UAV vegetation indices are widely used to assess potato crop performance and estimate yield. However, whether their biological interpretation remains consistent across cultivars and growth stages is rarely examined. This study investigated how the relationships between UAV-derived multispectral and thermal canopy indicators and potato yield changed during crop development under contrasting irrigation in two cultivars with contrasting maturity classes (Anouk and Celandine). UAV surveys were conducted in July and August, and canopy metrics were related to final yield and tuber traits. The relationship between NDVI and yield differed markedly between cultivars and growth stages. In the early-maturing cultivar Anouk, July NDVI showed a strong positive correlation with yield ( r = 0.87, p = 0.002), whereas August NDVI was not informative. In the late-maturing cultivar Celandine, the relationship reversed from a positive correlation in July ( r = 0.56) to a strong negative correlation in August ( r = −0.80, p = 0.009), indicating that greater late-season canopy greenness was associated with lower yield. Exploratory LOOCV Random Forest models achieved the highest yield prediction accuracy using July features for Anouk ( R 2 = 0.72) and August features for Celandine ( R 2 = 0.47), while multi-temporal features provided similar predictive performance. Greater temporal declines in NDVI were associated with higher yield in both cultivars, consistent with the change in canopy greenness acting as a phenological indicator of the transition from vegetative growth to tuber bulking. These results demonstrate that the interpretation of UAV-derived vegetation indices is strongly dependent on cultivar maturity and growth stage. A single UAV acquisition may therefore provide misleading assessments of crop performance when canopy phenology is not considered. Rather than serving as fixed proxies for yield, canopy vegetation indices should be interpreted within cultivar-specific and temporal contexts when used for potato monitoring and agronomic decision-making.","摘要 单期无人机植被指数被广泛用于评估马铃薯作物表现和估算产量。然而，其生物学解释在不同品种和生育期之间是否保持一致，鲜有研究加以检验。本研究探讨了在两种成熟性类别不同的品种（Anouk和Celandine）中，不同灌溉条件下，无人机获取的多光谱与热红外冠层指标与马铃薯产量之间的关系在作物发育过程中如何变化。无人机调查于7月和8月进行，并将冠层指标与最终产量及块茎性状进行关联分析。NDVI与产量之间的关系在品种和生育期之间差异显著。在早熟品种Anouk中，7月NDVI与产量呈强正相关（r = 0.87，p = 0.002），而8月NDVI则不具有指示意义。在晚熟品种Celandine中，该关系由7月的正相关（r = 0.56）转变为8月的强负相关（r = −0.80，p = 0.009），表明后期冠层绿度越高与产量越低相关。探索性留一交叉验证（LOOCV）随机森林模型在使用Anouk的7月特征（R² = 0.72）和Celandine的8月特征（R² = 0.47）时取得了最高的产量预测精度，而多时相特征提供了相似的预测表现。两个品种中NDVI随时间下降幅度越大均与产量越高相关，这与冠层绿度变化作为从营养生长向块茎膨大转变的物候指示相一致。这些结果表明，无人机获取的植被指数的解释强烈依赖于品种成熟性和生育期。因此，在未考虑冠层物候的情况下，单次无人机采集可能对作物表现作出误导性评估。冠层植被指数不应作为产量的固定替代指标，而应在品种特异性和时间背景下加以解释，方可用于马铃薯监测和农艺决策。","Potato Research","2026-10-20T00:00:00Z",79,{"impact":200,"substance":123,"depth":84,"authority":85,"freshness":112,"relevant":20,"comment":201},16,"该研究揭示UAV-NDVI与马铃薯产量的关系随品种熟期和生育阶段而反转，对智慧农业遥感监测具有实质方法学与决策参考价值。",[203],{"name":196,"url":193},[205,206,207,208,209],"智慧农业","马铃薯","产量预测","遥感","作物表型",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":213},{"candidates":214,"agricultural_evidence":45},[215,220,227,233],{"code":31,"score":18,"supported":45,"title":216,"abstract":218,"tags":219},[217],"potato",[206,217],[206],{"code":221,"score":69,"supported":45,"title":222,"abstract":223,"tags":226},"H3",[],[224,225],"灌溉","irrigation",[],{"code":228,"score":69,"supported":45,"title":229,"abstract":230,"tags":232},"I3",[],[231],"multispectral",[207,209,208],{"code":234,"score":20,"supported":13,"title":235,"abstract":236,"tags":237},"I1",[],[],[205],[239,240],"UAV NDVI 马铃薯 产量","马铃薯 品种 生育期 遥感","UAVNDVI马铃薯产量-5561","10.1007\u002Fs11540-026-10161-5",{"doi":242,"openalex_id":244,"authors":245,"venue":196,"cited_by_count":19,"oa_url":251,"card":252,"direction":258,"ingested_from":259},"W7223067378",[246,249],{"name":247,"orcid":248},"Jiangsan Zhao","https:\u002F\u002Forcid.org\u002F0000-0003-3916-7388",{"name":250,"orcid":8},"Jaroslaw S. Grodek","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs11540-026-10161-5.pdf",{"tldr":253,"method":254,"finding":255,"direction":256,"opportunity":257},"研究不同品种和生育期下无人机NDVI与马铃薯产量的关系差异。","两个熟期品种、多时相无人机多光谱与热红外冠层指标，结合随机森林建模。","NDVI与产量的关系随品种和时期反转，晚熟品种8月NDVI与产量强负相关。","农业遥感与作物表型","可构建融合品种熟期与冠层物候期的时相自适应产量估算模型，避免单次飞行误判。","智慧农业 \u002F 农业物联网","openalex","2026-10-22T11:20:21.975818Z",{"id":262,"title":263,"url":264,"summary":265,"summary_zh":8,"content":266,"source_name":267,"source_url":8,"published_at":197,"category":79,"cover_url":8,"hotness":12,"is_selected":13,"score":268,"score_detail":269,"sources":271,"tags":273,"primary_topic":278,"secondary_topics":279,"classification":280,"search_phrases":296,"slug":299,"view_count":19,"doi":8,"paper":8,"created_at":300},5526,"甘肃农科院陇薯红1号千亩方实收测产 亩产3033.59公斤商品率92%","https:\u002F\u002Fmlss.gsagr.cn\u002Finfo\u002F1056\u002F2213.htm","10月18日马铃薯研究所科研团队在会宁县大沟镇郭庄村陇薯红1号千亩示范方开展现场测产，实测亩产3033.59公斤、商品率92%。该品种为鲜食与加工兼用型，薯皮光滑呈红色、薯肉红芯黄边富含花青素，抗旱性与综合抗逆性突出，尤宜炸制薯片薯条，已获多家薯片薯条加工企业认可。","测产现场，专家组严格按照马铃薯田间测产技术规程，对自主选育的陇薯红1号进行实收测产，并综合评价其农艺性状、抗逆性与加工品质。经实测，该品种田间长势整齐，丰产性突出，折合亩产3033.59公斤，商品率达92%，抗逆表现良好，块茎外观品质优良，符合加工原料标准。项目负责人、马铃薯所长马丽荣介绍，陇薯红1号是我院马铃薯研究所最新选育的鲜食与加工兼用型品种，尤宜炸制薯片、薯条。该品种薯形规整，薯皮光滑呈红色，薯肉红芯黄边，富含花青素，抗旱性与综合抗逆性突出，炸制的薯片色泽鲜亮、片形均匀、品质稳定。该品种的育成进一步拓展了功能加工型马铃薯的育种方向与应用场景，已获得省内外多家薯片、薯条加工企业的高度评价与广泛认可。","甘肃省农业科学院马铃薯研究所 2026-10-20",73,{"impact":84,"substance":17,"depth":85,"authority":125,"freshness":163,"relevant":20,"comment":270},"省级科研机构自主选育的功能加工型马铃薯品种千亩方实收测产，亩产与商品率数据具体，兼具鲜食加工兼用与花青素特色，具备行业参考价值。",[272],{"name":267,"url":264},[206,274,275,276,277],"种业振兴","测产验收","功能加工型","陇薯红1号",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":281},{"candidates":282,"agricultural_evidence":45},[283,287,292],{"code":31,"score":44,"supported":45,"title":284,"abstract":285,"tags":286},[],[206],[206],{"code":288,"score":20,"supported":13,"title":289,"abstract":290,"tags":291},"A8",[],[],[275],{"code":51,"score":20,"supported":13,"title":293,"abstract":294,"tags":295},[],[],[274],[297,298],"甘肃农科院 陇薯红1号 测产","陇薯红1号 亩产3033.59公斤","甘肃农科院陇薯红1号测产-5526","2026-10-22T00:07:04.811596Z",{"id":302,"title":303,"url":304,"summary":305,"summary_zh":8,"content":306,"source_name":307,"source_url":8,"published_at":197,"category":79,"cover_url":8,"hotness":12,"is_selected":13,"score":308,"score_detail":309,"sources":311,"tags":313,"primary_topic":318,"secondary_topics":319,"classification":320,"search_phrases":344,"slug":347,"view_count":19,"doi":8,"paper":8,"created_at":348},5514,"山东农科院作物所商河举办红高粱观摩培训会 政企共建示范基地","http:\u002F\u002Fsdcrops.cn\u002Farticles\u002Fch11158\u002F202610\u002F32fdb8f1-6d3b-441c-8ef9-3d0d3332ce90.shtml","10月18日第四届「红高粱·庆丰收」山东省酿酒高粱新品种新技术现场观摩培训会在商河县金盆地高粱种植示范基地举办，省农科院作物所联合山东省白酒协会与商河县人民政府主办，50余名酿酒畜牧企业代表与种植大户参加。会上颁发「科技成果转化专员」聘书并签署示范基地共建协议。","秋染良田，红粱飘香。为加快酿酒高粱新品种新技术成果转化，深化院地产学研协同创新，10月18日，第四届“红高粱・庆丰收”山东省酿酒高粱新品种新技术现场观摩培训会在商河县金盆地高粱种植示范基地成功举办。本次活动由山东省农业科学院作物研究所联合山东省白酒协会、商河县人民政府共同主办，商河县委组织部、县农业农村局、县人社局、县科协、县广播电视台、龙桑寺镇人民政府承办，商河县金盆地家庭农场协办。省农科院党委委员、副院长刘开昌，作物所理事长兼党委书记赵海军，山东省白酒协会秘书长李浩然，商河县副县长任明光及县直相关部门负责同志出席；省内外酿酒企业、畜牧企业代表，部分家庭农场、合作社及高粱种植大户50余人参加。\n\n活动以酿酒高粱试验示范基地建设为核心，搭建科研成果落地田间的转化平台，集中展示作物所酿酒高粱育种与栽培技术最新成果。国家谷子高粱产业技术体系济南综合试验站站长、作物所杂粮团队首席专家张华文研究员在田间开展技术培训，围绕新品种选育进展、标准化高产栽培技术、产业发展现状与趋势等核心内容，与种植大户、企业代表现场互动交流，针对性解答生产一线实际问题，推动良种良法直送生产端。\n\n现场观摩培训会由龙桑寺镇党委书记刘友智主持，任明光、李浩然、刘开昌先后致辞。赵海军为金盆地家庭农场负责人史益民颁发“科技成果转化专员”聘书，双方共同签署酿酒高粱试验示范基地共建协议，建立长期稳定的科研合作纽带。随后，与会领导为开镰仪式剪彩，标志着示范基地高粱正式进入丰收收割阶段。与会人员还深入田间观摩酿酒高粱新品种示范田。张华文现场讲解品种特征特性、产量表现及配套轻简栽培技术，直观展示科研成果的应用成效与产业价值。\n\n本次活动是作物所深化院地合作、推进科技成果转化的重要实践。商河金盆地高粱示范基地作为院地共建核心载体，已成为科研人才下沉一线、新品种新技术落地推广的田间阵地，有效打通科研与生产的衔接通道。下一步，作物所将持续发挥科研人才与技术优势，深化与金盆地家庭农场的产学研协同，开展酿酒高粱新品种试验与栽培技术攻关，进一步发挥示范基地辐射带动作用，推动科研成果转化为产业效益，带动周边农户增收致富，为区域农业产业高质量发展注入持久科技动能。（撰写：王润丰 核稿：李峰）","山东省农业科学院作物研究所 2026-10-20",62,{"impact":200,"substance":85,"depth":139,"authority":139,"freshness":163,"relevant":20,"comment":310},"省级科研院所与地方政府共建酿酒高粱示范基地的观摩培训活动，有实质内容但属常规院地合作动态，公共影响有限。",[312],{"name":307,"url":304},[274,314,315,316,317],"成果转化","院地合作","示范基地","酿酒高粱",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":321},{"candidates":322,"agricultural_evidence":45},[323,328,334,340],{"code":31,"score":139,"supported":45,"title":324,"abstract":326,"tags":327},[325],"高粱",[325],[317],{"code":329,"score":330,"supported":45,"title":331,"abstract":332,"tags":333},"G1",5,[],[314],[314,315],{"code":335,"score":52,"supported":45,"title":336,"abstract":337,"tags":339},"C",[],[338],"畜牧",[],{"code":51,"score":20,"supported":13,"title":341,"abstract":342,"tags":343},[],[],[274],[345,346],"山东省农科院 酿酒高粱 商河","金盆地 高粱示范基地","山东省农科院酿酒高粱商河-5514","2026-10-22T00:07:03.937590Z"]